For example poverty and well-being assessment in advanced economies
Group i. general assessment of human development.
Alkire, Sabina, and James Foster. 2011. “Counting and multidimensional poverty measurement.” Journal of Public Economics no. 95 (7–8):476–487. doi: 10.1016/j.jpubeco.2010.11.006.
Alkire, Sabina, Ruth Meinzen-Dick, Amber Peterman, Agnes Quisumbing, Greg Seymour, and Ana Vaz. 2013. “The Women’s Empowerment in Agriculture Index.” World Development no. 52 (0):71–91. doi: 10.1016/j.worlddev.2013.06.007.
Alkire, Sabina, and Maria Emma Santos. 2014. “Measuring Acute Poverty in the Developing World: Robustness and Scope of the Multidimensional Poverty Index.” World Development no. 59 (0):251–274. doi: 10.1016/j.worlddev.2014.01.026.
Alkire, Sabina, and MariaEmma Santos. 2013. “A Multidimensional Approach: Poverty Measurement & Beyond.” Social Indicators Research no. 112 (2):239–257. doi: 10.1007/s11205-013-0257-3.
Anand, Paul, Jaya Krishnakumar, and Ngoc Bich Tran. 2011. “Measuring welfare: Latent variable models for happiness and capabilities in the presence of unobservable heterogeneity.” Journal of Public Economics no. 95 (3–4):205–215. doi: 10.1016/j.jpubeco.2010.11.007.
Distaso, Alba. 2007. “Well-being and/or quality of life in EU countries through a multidimensional index of sustainability.” Ecological Economics no. 64 (1):163–180. doi: 10.1016/j.ecolecon.2007.02.025.
Gardoni, Paolo, and Colleen Murphy. 2010. “Gauging the societal impacts of natural disasters using a capability approach.” Disasters no. 34 (3):619–636. doi: 10.1111/j.1467-7717.2010.01160.x.
Krishnakumar, Jaya, and Paola Ballon. 2008. “Estimating Basic Capabilities: A Structural Equation Model Applied to Bolivia.” World Development no. 36 (6):992–1010. doi: 10.1016/j.worlddev.2007.10.006.
Nguefack‐Tsague, Georges, Stephan Klasen, and Walter Zucchini. 2011. “On Weighting the Components of the Human Development Index: A Statistical Justification.” Journal of Human Development and Capabilities no. 12 (2):183–202. doi: 10.1080/19452829.2011.571077.
Notten, Geranda, and Keetie Roelen. 2012. “A New Tool for Monitoring (Child) Poverty: Measures of Cumulative Deprivation.” Child Indicators Research no. 5 (2):335–355. doi: 10.1007/s12187-011-9130-6.
Nussbaumer, Patrick, Morgan Bazilian, and Vijay Modi. 2012. “Measuring energy poverty: Focusing on what matters.” Renewable and Sustainable Energy Reviews no. 16 (1):231–243. doi: 10.1016/j.rser.2011.07.150.
Rende, Sevinc, and Murat Donduran. 2013. “Neighborhoods in Development: Human Development Index and Self-organizing Maps.” Social Indicators Research no. 110 (2):721–734. doi: 10.1007/s11205-011-9955-x.
Biggeri, Mario, and Andrea Ferrannini. 2014. “Opportunity Gap Analysis: Procedures and Methods for Applying the Capability Approach in Development Initiatives.” Journal of Human Development and Capabilities no. 15 (1):60–78. doi: 10.1080/19452829.2013.837036.
Conradie, Ina, and Ingrid Robeyns. 2013. “Aspirations and Human Development Interventions.” Journal of Human Development and Capabilities no. 14 (4):559–580. doi: 10.1080/19452829.2013.827637.
Peris, Jordi, Sarai Fariñas, Estela López, and Alejandra Boni. 2012. “Expanding collective agency in rural indigenous communities in Guatemala: a case for El Almanario approach.” International Development Planning Review no. 34 (1):83–102. doi: 10.3828/idpr.2012.6.
Alkire, Sabina, and Suman Seth. 2013. “Selecting a Targeting Method to Identify BPL Households in India.” Social Indicators Research no. 112 (2):417–446. doi: 10.1007/s11205-013-0254-6.
Ansari, Shahzad, Kamal Munir, and Tricia Gregg. 2012. “Impact at the ‘Bottom of the Pyramid’: The Role of Social Capital in Capability Development and Community Empowerment.” Journal of Management Studies no. 49 (4):813–842. doi: 10.1111/j.1467-6486.2012.01042.x.
Arndt, Channing, Andres Garcia, Finn Tarp, and James Thurlow. 2012. “Poverty Reduction and Economic Structure: Comparative Path Analysis for Mozambique and Vietnam.” Review of Income and Wealth no. 58 (4):742–763. doi: 10.1111/j.1475-4991.2011.00474.x.
Barrientos, Armando. 2010. “Protecting Capability, Eradicating Extreme Poverty: Chile Solidario and the Future of Social Protection.” Journal of Human Development and Capabilities no. 11 (4):579–597. doi: 10.1080/19452829.2010.520926.
Batana, YéléMaweki. 2013. “Multidimensional Measurement of Poverty Among Women in Sub-Saharan Africa.” Social Indicators Research no. 112 (2):337–362. doi: 10.1007/s11205-013-0251-9.
Clark, David A., and Mozaffar Qizilbash. 2008. “Core Poverty, Vagueness and Adaptation: A New Methodology and Some Results for South Africa.” The Journal of Development Studies no. 44 (4):519–544. doi: 10.1080/00220380801980855.
Groh, Sebastian. 2014. “The role of energy in development processes—The energy poverty penalty: Case study of Arequipa (Peru).” Energy for Sustainable Development no. 18 (0):83–99. doi: 10.1016/j.esd.2013.12.002.
Kerstenetzky, Celia Lessa, and Larissa Santos. 2009. “Poverty as Deprivation of Freedom: The Case of Vidigal Shantytown in Rio de Janeiro.” Journal of Human Development and Capabilities no. 10 (2):189. doi: 10.1080/19452820902940893.
Neff, Daniel. 2013. “Fuzzy set theoretic applications in poverty research.” Policy and Society no. 32 (4):319–331. doi: 10.1016/j.polsoc.2013.10.004.
Ningaye, Paul, TiomelaYemedjeu Alexi, and TakoutioFeudjio Virginie. 2013. “Multi-Poverty in Cameroon: A Structural Equation Modeling Approach.” Social Indicators Research no. 113 (1):159–181. doi: 10.1007/s11205-012-0087-8.
Norcia, Maurizio, Antonella Risotto, and Elisa Noci. 2012. “Measuring poverty through capabilities: preliminary results of a research in Italy.” OIDA International Journal of Sustainable Development no. 4 (8):39–46.
Parks, Sarah. 2012. “Divergent pathways of development: a comparative case study of human well-being in two Thai provinces.” Environment and Planning C: Government and Policy no. 30:891–909.
Roche, JoséManuel. 2013. “Monitoring Progress in Child Poverty Reduction: Methodological Insights and Illustration to the Case Study of Bangladesh.” Social Indicators Research no. 112 (2):363–390. doi: 10.1007/s11205-013-0252-8.
Roelen, Keetie, Franziska Gassmann, and Chris de Neubourg. 2010. “Child Poverty in Vietnam: Providing Insights Using a Country-Specific and Multidimensional Model.” Social Indicators Research no. 98 (1):129–145. doi: 10.1007/s11205-009-9522-x.
Santos, MariaEmma. 2013. “Tracking Poverty Reduction in Bhutan: Income Deprivation Alongside Deprivation in Other Sources of Happiness.” Social Indicators Research no. 112 (2):259–290. doi: 10.1007/s11205-013-0248-4.
Trani, Jean-Francois, Mario Biggeri, and Vincenzo Mauro. 2013. “The Multidimensionality of Child Poverty: Evidence from Afghanistan.” Social Indicators Research no. 112 (2):391–416. doi: 10.1007/s11205-013-0253-7.
Trani, Jean-François, and Tim I. Cannings. 2013. “Child Poverty in an Emergency and Conflict Context: A Multidimensional Profile and an Identification of the Poorest Children in Western Darfur.” World Development no. 48 (0):48–70. doi: 10.1016/j.worlddev.2013.03.005.
Anand, Paul, Graham Hunter, Ian Carter, Keith Dowding, Francesco Guala, and Martin Van Hees. 2009. “The Development of Capability Indicators.” Journal of Human Development and Capabilities no. 10 (1):127. doi: 10.1080/14649880802675366.
Arndt, Christian, and Jürgen Volkert. 2011. “The Capability Approach: A Framework for Official German Poverty and Wealth Reports.” Journal of Human Development and Capabilities no. 12 (3):311–337. doi: 10.1080/19452829.2011.589248.
Bellani, Luna, Graham Hunter, and Paul Anand. 2013. “Multidimensional Welfare: Do Groups Vary in Their Priorities and Behaviours?*.” Fiscal Studies no. 34 (3):333–354. doi: 10.1111/j.1475-5890.2013.12009.x.
Beyazit, Eda. 2010. “Evaluating Social Justice in Transport: Lessons to be Learned from the Capability Approach.” Transport Reviews no. 31 (1):117–134. doi: 10.1080/01441647.2010.504900.
Binder, Martin, and Tom Broekel. 2011. “Applying a Non‐parametric Efficiency Analysis to Measure Conversion Efficiency in Great Britain.” Journal of Human Development and Capabilities no. 12 (2):261. doi: 10.1080/19452829.2011.571088.
Boarini, Romina, and Marco Mira D’Ercole. 2013. “Going beyond GDP: An OECD Perspective*.” Fiscal Studies no. 34 (3):289–314. doi: 10.1111/j.1475-5890.2013.12007.x.
Burchardt, Tania. 2009. “Agency Goals, Adaptation and Capability Sets.” Journal of Human Development and Capabilities no. 10 (1):3–19. doi: 10.1080/14649880802675044.
Burchardt, Tania, and Polly Vizard. 2011. “‘Operationalizing’ the Capability Approach as a Basis for Equality and Human Rights Monitoring in Twenty‐first‐century Britain.” Journal of Human Development and Capabilities no. 12 (1):91–119. doi: 10.1080/19452829.2011.541790.
Callander, Emily J., Deborah J. Schofield, and Rupendra N. Shrestha. 2012a. “Capacity for Freedom—Using a New Poverty Measure to Look at Regional Differences in Living Standards within Australia.” Geographical Research no. 50 (4):411–420. doi: 10.1111/j.1745-5871.2011.00748.x.
Callander, Emily J., Deborah J. Schofield, and Rupendra N. Shrestha. 2012b. “Towards a holistic understanding of poverty: A new multidimensional measure of poverty for Australia.” Health Sociology Review no. 21 (2):141–155. doi: 10.5172/hesr.2012.21.2.141.
Callander, EmilyJ, DeborahJ Schofield, and RupendraN Shrestha. 2012c. “Capacity for Freedom—A New Way of Measuring Poverty Amongst Australian Children.” Child Indicators Research no. 5 (1):179. doi: 10.1007/s12187-011-9122-6.
Clark, David, and David Hulme. 2010. “Poverty, time and vagueness: integrating the core poverty and chronic poverty frameworks.” Cambridge Journal of Economics no. 34 (2):347–366. doi: 10.1093/cje/ben046.
Clery, Elizabeth, Tiffany Tsang, and Polly Vizard. 2014. “The Children’s Measurement Framework: A new Indicator-Based Tool for Monitoring Children’s Equality and Human Rights.” Child Indicators Research no. 7 (2):321–349. doi: 10.1007/s12187-013-9224-4.
Gardoni, Paolo, and Colleen Murphy. 2014. “A Scale of Risk.” Risk Analysis no. 34 (7):1208–1227. doi: 10.1111/risa.12150.
Hofmann, Karen, Dominik Schori, and Thomas Abel. 2013. “Self-Reported Capabilities Among Young Male Adults in Switzerland: Translation and Psychometric Evaluation of a German, French and Italian Version of a Closed Survey Instrument.” Social Indicators Research no. 114 (2):723–738. doi: 10.1007/s11205-012-0170-1.
Jordan, Kirrily, Hannah Bulloch, and Geoff Buchanan. 2010. “Statistical equality and cultural difference in Indigenous wellbeing frameworks: A new expression of an enduring debate.” Australian Journal of Social Issues no. 45 (3):333–362,295-296.
Matsuyama, Jun, and Kenji Mori. 2011. “Freedom and achievement of well-being and adaptive dynamics of capabilities.” Metroeconomica no. 62 (3):494–511. doi: 10.1111/j.1467-999X.2011.04118.x.
Murphy, Colleen, and Paolo Gardoni. 2008. “The Acceptability and the Tolerability of Societal Risks: A Capabilities-based Approach.” Science and Engineering Ethics no. 14 (1):77–92. doi: 10.1007/s11948-007-9031-8.
Murphy, Colleen, and Paolo Gardoni. 2010. “Assessing capability instead of achieved functionings in risk analysis.” Journal of Risk Research no. 13 (2):145. doi: 10.1080/13669870903126259.
Peichl, Andreas, and Nico Pestel. 2013. “Multidimensional Well-Being at the Top: Evidence for Germany*.” Fiscal Studies no. 34 (3):355–371. doi: 10.1111/j.1475-5890.2013.12010.x.
Perrons, Diane. 2011. “Regional performance and inequality: linking economic and social development through a capabilities approach.” Cambridge Journal of Regions, Economy and Society . doi: 10.1093/cjres/rsr033.
Van Ootegem, Luc, and Elsy Verhofstadt. 2012. “Using Capabilities as an Alternative Indicator for Well-being.” Social Indicators Research no. 106 (1):133–152. doi: 10.1007/s11205-011-9799-4.
Waglé, Udaya R. 2008. “Multidimensional poverty: An alternative measurement approach for the United States?” Social Science Research no. 37 (2):559–580. doi: 10.1016/j.ssresearch.2007.06.013.
Wagle, Udaya R. 2009. “Capability Deprivation and Income Poverty in the United States, 1994 and 2004: Measurement Outcomes and Demographic Profiles.” Social Indicators Research no. 94 (3):509–533. doi: 10.1007/s11205-009-9446-5.
Wagle, Udaya R. 2014. “The Counting-Based Measurement of Multidimensional Poverty: The Focus on Economic Resources, Inner Capabilities, and Relational Resources in the United States.” Social Indicators Research no. 115 (1):223–240. doi: 10.1007/s11205-012-0216-4.
Wüst, Kirsten, and Jürgen Volkert. 2012. “Childhood and Capability Deprivation in Germany: A Quantitative Analysis Using German Socio-Economic Panel Data.” Social Indicators Research no. 106 (3):439–469. doi: 10.1007/s11205-011-9817-6.
Rosano, Aldo, Federica Mancini, and Alessandro Solipaca. 2009. “Poverty in People with Disabilities: Indicators from the Capability Approach.” Social Indicators Research no. 94 (1):75–82. doi: 10.1007/s11205-008-9337-1.
Addabbo, Tindara, Maria Laura Di Tommaso, and Anna Maccagnan. 2014. “Gender Differences in Italian Children’s Capabilities.” Feminist Economics no. 20 (2):90–121. doi: 10.1080/13545701.2013.844846.
Addabbo, Tindara, Diego Lanzi, and Antonella Picchio. 2010. “Gender Budgets: A Capability Approach.” Journal of Human Development and Capabilities no. 11 (4):479–501. doi: 10.1080/19452829.2010.520900.
Anand, Paul, and Cristina Santos. 2007. “Violent crime, gender inequalities and well-being: models based on a survey of individual capabilities and crime rates for England and Wales.” Revue d’économie politique no. 117:135-160.
Bérenger, Valérie, and Audrey Verdier‐Chouchane. 2011. “From the Relative Women Disadvantage Index to Women’s Quality‐of‐Life.” Journal of Human Development and Capabilities no. 12 (2):203–233. doi: 10.1080/19452829.2010.520893.
Di Tommaso, Maria L., Isilda Shima, Steinar Strøm, and Francesca Bettio. 2009. “As bad as it gets: Well-being deprivation of sexually exploited trafficked women.” European Journal of Political Economy no. 25 (2):143–162. doi: 10.1016/j.ejpoleco.2008.11.002.
Floro, Maria S., and Anant Pichetpongsa. 2010. “Gender, Work Intensity, and Well-Being of Thai Home-Based Workers.” Feminist Economics no. 16 (3):5–44. doi: 10.1080/13545701.2010.499657.
Gálvez-Muñoz, Lina, Mónica Domínguez-Serrano, Paula Rodríguez-Modroño, and Mauricio Matus-López. 2013. “Gender, Time Use, and Children’s and Adolescents’ Well-Being: Implications for Public Policies*.” Fiscal Studies no. 34 (3):373–389. doi: 10.1111/j.1475-5890.2013.12011.x.
Agee, Mark D., and Thomas D. Crocker. 2013. “Operationalizing the capability approach to assessing well-being.” The Journal of Socio - Economics no. 46 (0):85. doi: 10.1016/j.socec.2013.07.003.
Burchi, Francesco, and Andrea Passacantilli. 2013. “Inequality in the monetary and functioning spaces: the case of Peru under the first Garcia government (1985–1990).” Journal of International Development no. 25 (3):340–361. doi: 10.1002/jid.1821.
Fahlén, Susanne. 2013. “Capabilities and Childbearing Intentions in Europe.” European Societies no. 15 (5):639–662. doi: 10.1080/14616696.2013.798018.
Hirvilammi, Tuuli, Senja Laakso, Michael Lettenmeier, and Satu Lähteenoja. 2013. “Studying Well-being and its Environmental Impacts: A Case Study of Minimum Income Receivers in Finland.” Journal of Human Development and Capabilities no. 14 (1):134–154. doi: 10.1080/19452829.2012.747490.
Hobson, Barbara, and Susanne Fahlén. 2009. “Competing Scenarios for European Fathers: Applying Sen’s Capabilities and Agency Framework to Work—Family Balance.” The ANNALS of the American Academy of Political and Social Science no. 624 (1):214–233. doi: 10.1177/0002716209334435.
Hobson, Barbara, Susanne Fahlén, and Judit Takács. 2011. “Agency and Capabilities to Achieve a Work–Life Balance: A Comparison of Sweden and Hungary.” Social Politics: International Studies in Gender, State & Society no. 18 (2):168–198. doi: 10.1093/sp/jxr007.
Kalfagianni, Agni. 2014. “Addressing the Global Sustainability Challenge: The Potential and Pitfalls of Private Governance from the Perspective of Human Capabilities.” Journal of Business Ethics no. 122 (2):307–320. doi: 10.1007/s10551-013-1747-6.
Reitinger, Claudia, Matthias Dumke, Mario Barosevcic, and Rafaela Hillerbrand. 2011. “A conceptual framework for impact assessment within SLCA.” The International Journal of Life Cycle Assessment no. 16 (4):380–388. doi: 10.1007/s11367-011-0265-y.
Renouard, Cecile. 2011. “Corporate Social Responsibility, Utilitarianism, and the Capabilities Approach.” Journal of Business Ethics no. 98 (1):85. doi: 10.1007/s10551-010-0536-8.
Kelly, Anthony. 2012. “Sen and the art of educational maintenance: evidencing a capability, as opposed to an effectiveness, approach to schooling.” Cambridge Journal of Education no. 42 (3):283–296. doi: 10.1080/0305764X.2012.706255.
Maddox, Bryan, and Lucio Esposito. 2011. “Sufficiency Re-examined: A Capabilities Perspective on the Assessment of Functional Adult Literacy.” The Journal of Development Studies no. 47 (9):1315–1331. doi: 10.1080/00220388.2010.509788.
Maguire, Cindy, Corinne Donovan, Jacob Mishook, Genevieve de Gaillande, and Ivonne Garcia. 2012. “Choosing a life one has reason to value: the role of the arts in fostering capability development in four small urban high schools.” Cambridge Journal of Education no. 42 (3):367–390. doi: 10.1080/0305764X.2012.706258.
McLean, Monica, and Melanie Walker. 2011. “The possibilities for university-based public-good professional education: a case-study from South Africa based on the ‘capability approach’.” Studies in Higher Education no. 37 (5):585–601. doi: 10.1080/03075079.2010.531461.
Smith, Michèle, and Angeline M. Barrett. 2011. “Capabilities for learning to read: An investigation of social and economic effects for Grade 6 learners in Southern and East Africa.” International Journal of Educational Development no. 31 (1):23–36. doi: 10.1016/j.ijedudev.2010.06.006.
Tikly, Leon, and Angeline M. Barrett. 2011. “Social justice, capabilities and the quality of education in low income countries.” International Journal of Educational Development no. 31 (1):8. doi: 10.1016/j.ijedudev.2010.06.001.
Walker, Melanie. 2006. “Towards a capability‐based theory of social justice for education policy‐making.” Journal of Education Policy no. 21 (2):163–185. doi: 10.1080/02680930500500245.
Walker, Melanie. 2008. “A human capabilities framework for evaluating student learning.” Teaching in Higher Education no. 13 (4):477–487. doi: 10.1080/13562510802169764.
Walker, Melanie. 2012. “A capital or capabilities education narrative in a world of staggering inequalities?” International Journal of Educational Development no. 32 (3):384–393. doi: 10.1016/j.ijedudev.2011.09.003.
Young, Marion. 2009. “Basic Capabilities, Basic Learning Outcomes and Thresholds of Learning.” Journal of Human Development and Capabilities no. 10 (2):259–277. doi: 10.1080/19452820902941206.
Grunfeld, Helena, Sokleap Hak, and Tara Pin. 2011. “Understanding benefits realisation of iREACH from a capability approach perspective.” Ethics and Information Technology no. 13 (2):151–172. doi: 10.1007/s10676-011-9268-4.
Hatakka, Mathias, Annika Andersson, and Åke Grönlund. 2013. “Students’ use of one to one laptops: a capability approach analysis.” Information Technology & People no. 26 (1):94–112. doi: doi:10.1108/09593841311307169.
Hatakka, Mathias, and Jenny Lagsten. 2011. “The capability approach as a tool for development evaluation—analyzing students’ use of internet resources.” Information Technology for Development no. 18 (1):23–41. doi: 10.1080/02681102.2011.617722.
Kivunike, Florence Nameere, Love Ekenberg, Mats Danielson, and F. F. Tusubira. 2011. “Perceptions of the role of ICT on quality of life in rural communities in Uganda.” Information Technology for Development no. 17 (1):61–80. doi: 10.1080/02681102.2010.511698.
Kleine, Dorothea. 2010. “ICT4WHAT?—Using the choice framework to operationalise the capability approach to development.” Journal of International Development no. 22 (5):674–692. doi: 10.1002/jid.1719.
Kleine, Dorothea. 2011. “The capability approach and the ‘medium of choice’: steps towards conceptualising information and communication technologies for development.” Ethics and Information Technology no. 13 (2):119–130. doi: 10.1007/s10676-010-9251-5.
Kleine, Dorothea, Ann Light, and Maria-José Montero. 2012. “Signifiers of the life we value? Considering human development, technologies and Fair Trade from the perspective of the capabilities approach.” Information Technology for Development no. 18 (1):42–60. doi: 10.1080/02681102.2011.643208.
Mizohata, Sachie, and Raynald Jadoul. 2013. “Towards International and Interdisciplinary Research Collaboration for the Measurements of Quality of Life.” Social Indicators Research no. 111 (3):683–708. doi: 10.1007/s11205-012-0027-7.
Ojo, Adegboyega, Tomasz Janowski, and Johanna Awotwi. 2013. “Enabling development through governance and mobile technology.” Government Information Quarterly no. 30, Supplement 1 (0):S32-S45. doi: 10.1016/j.giq.2012.10.004.
Al-Janabi, Hareth, Terry Flynn, and Joanna Coast. 2012. “Development of a self-report measure of capability wellbeing for adults: the ICECAP-A.” Quality of Life Research no. 21 (1):167–176. doi: 10.1007/s11136-011-9927-2.
Callander, Emily J, Deborah J Schofield, and Rupendra N Shrestha. 2013a. “Chronic health conditions and poverty: a cross-sectional study using a multidimensional poverty measure.” BMJ Open no. 3 (11). doi: 10.1136/bmjopen-2013-003397.
Callander, Emily J., Deborah J. Schofield, and Rupendra N. Shrestha. 2013b. “Freedom poverty: A new tool to identify the multiple disadvantages affecting those with CVD.” International Journal of Cardiology no. 166 (2):321–326. doi: 10.1016/j.ijcard.2011.10.088.
Coast, Joanna, Terry N. Flynn, Lucy Natarajan, Kerry Sproston, Jane Lewis, Jordan J. Louviere, and Tim J. Peters. 2008. “Valuing the ICECAP capability index for older people.” Social Science & Medicine no. 67 (5):874–882. doi: 10.1016/j.socscimed.2008.05.015.
Couzner, Leah, J. Ratcliffe, L. Lester, T. Flynn, and M. Crotty. 2013. “Measuring and valuing quality of life for public health research: application of the ICECAP-O capability index in the Australian general population.” International Journal of Public Health no. 58 (3):367–376. doi: 10.1007/s00038-012-0407-4.
Davis, Jennifer, Teresa Liu-Ambrose, ChrisG Richardson, and Stirling Bryan. 2013. “A comparison of the ICECAP-O with EQ-5D in a falls prevention clinical setting: are they complements or substitutes?” Quality of Life Research no. 22 (5):969–977. doi: 10.1007/s11136-012-0225-4.
Ferrer, Robert L., and Alejandra Varela Carrasco. 2010. “Capability and Clinical Success.” The Annals of Family Medicine no. 8 (5):454–460. doi: 10.1370/afm.1163.
Ferrer, Robert L., Inez Cruz, Sandra Burge, Bryan Bayles, and Martha I. Castilla. 2014. “Measuring Capability for Healthy Diet and Physical Activity.” The Annals of Family Medicine no. 12 (1):46–56. doi: 10.1370/afm.1580.
Grewal, Ini, Jane Lewis, Terry Flynn, Jackie Brown, John Bond, and Joanna Coast. 2006. “Developing attributes for a generic quality of life measure for older people: Preferences or capabilities?” Social Science & Medicine no. 62 (8):1891–1901. doi: 10.1016/j.socscimed.2005.08.023.
Lewis, Ferdinand. 2012a. “Auditing Capability and Active Living in the Built Environment.” Journal of Human Development and Capabilities no. 13 (2):295–315. doi: 10.1080/19452829.2011.645028.
Lewis, Ferdinand. 2012b. “Toward a general model of built environment audits.” Planning Theory no. 11 (1):44–65. doi: 10.1177/1473095211408056.
Mabsout, Ramzi. 2011. “Capability and Health Functioning in Ethiopian Households.” Social Indicators Research no. 101 (3):359–389. doi: 10.1007/s11205-010-9661-0.
McAllister, Marion, Graham Dunn, Katherine Payne, Linda Davies, and Chris Todd. 2012. “Patient empowerment: The need to consider it as a measurable patient-reported outcome for chronic conditions.” BMC Health Services Research no. 12 (1):157.
Mitchell, Paul M., Tracy E. Roberts, Pelham M. Barton, Beth S. Pollard, and Joanna Coast. 2013. “Predicting the ICECAP-O Capability Index from the WOMAC Osteoarthritis Index: Is Mapping onto Capability from Condition-Specific Health Status Questionnaires Feasible?” Medical Decision Making no. 33 (4):547–557. doi: 10.1177/0272989x12475092.
Mitra, Sophie, Kris Jones, Brandon Vick, David Brown, Eileen McGinn, and MaryJane Alexander. 2013. “Implementing a Multidimensional Poverty Measure Using Mixed Methods and a Participatory Framework.” Social Indicators Research no. 110 (3):1061–1081. doi: 10.1007/s11205-011-9972-9.
Netten, Ann, Peter Burge, Juliette Malley, Dimitris Potoglou, Ann-Marie Towers, John Brazier, Terry Flynn, and Julien Forder. 2012. “Outcomes of social care for adults: developing a preference-weighted measure.” Health Technology Assessment no. 16 (16):1–166.
Nikiema, Beatrice, Slim Haddad, and Louise Potvin. 2012. “Measuring women’s perceived ability to overcome barriers to healthcare seeking in Burkina Faso.” BMC Public Health no. 12 (1):147.
Ratcliffe, Julie, Laurence H. Lester, Leah Couzner, and Maria Crotty. 2013. “An assessment of the relationship between informal caring and quality of life in older community-dwelling adults—more positives than negatives?” Health & Social Care in the Community no. 21 (1):35–46. doi: 10.1111/j.1365-2524.2012.01085.x.
Simon, Judit, Paul Anand, Alastair Gray, Jorun Rugkåsa, Ksenija Yeeles, and Tom Burns. 2013. “Operationalising the capability approach for outcome measurement in mental health research.” Social Science & Medicine no. 98 (0):187–196. doi: 10.1016/j.socscimed.2013.09.019.
Conflicts of interest.
P.M.M., T.E.R. and P.M.B. declare they have no conflict of interest. J.C. led the development of the ICECAP-O and ICECAP-A capability measures.
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Discussions about inequality and justice are very important within the capability literature. In fact, they are so important that many philosophers studying the capability approach have made the mistake of believing that it is a theory of equality, or a theory of justice. But as the descriptions of the capability approach in chapter 2 have shown, that is not the case. Here, too, we need to make use of the distinction between the general capability approach and more specific capability theories: theorizing justice is only one among many different purposes that capability theories can have, that is, one of the possible choices we can make in module B1. 19 Still, given that the capability approach offers a distinct view on interpersonal comparisons of advantage, it should not surprise us that the capability approach has been widely used in thinking about inequality and justice.
The literature that develops the relevance of the capability approach in theories of justice falls primarily within the domain of normative political philosophy, but there is some overlap with the work done by welfare economists and other scholars. In order to get a grip on what the capability approach does in the literature on distributive justice, or, vice versa, what thinking goes on about theories of distributive justice within the capability literature, let us start with a brief primer on the theoretical literature on justice in the next section. Then, in section 3.13.2, I pose the question of what is required for the construction of a complete capability theory of justice. The final section, 3.13.3, explores the implications of a capability-based approach to justice in practice.
Justice is an essentially contested concept: there is no generally accepted definition of justice, and thus no consensus on what the appropriate subject matter of theories of justice is or should be. Of course, it does not follow that nothing at all can be said about the notion of justice. David Miller’s description of social justice is a good starting point. He claims that when arguing about justice, we are discussing:
how the good and bad things in life should be distributed among the members of a human society. When, more concretely, we attack some policy or some state of affairs as socially unjust, we are claiming that a person, or more usually a category of persons, enjoys fewer advantages than that person or group of persons ought to enjoy (or bears more of the burdens than they ought to bear), given how other members of the society in question are faring. (Miller 1999, 1)
Theories of justice do not cover the entire spectrum of moral issues. Social justice theorists generally agree that parts of morality fall outside the scope of justice. Charity is such a case: you may not have a duty of justice to help a frail, elderly neighbour, but you may nevertheless decide to help that person as an act of charity and compassion. Another example is morally laudable behaviour, such as being a volunteer for social activities in your neighbourhood. Such behaviour may be morally praiseworthy, but it may at the same time not be required as a matter of justice. Hence, justice is not all that matters, if we consider how to make the world morally better.
Can we describe justice, and theories of justice, by their properties, as philosophers often do? First, justice is a property that has been ascribed to both individuals and institutions: justice is a virtue of individuals in their interactions with others, and justice is also a virtue of social institutions (Barry and Matravers 2011). Thus, we can say that a certain society is more or less just, or we can say that the behaviour of some persons is just or unjust. Theorists of justice tend primarily to discuss the justice of social arrangements, that is, of social institutions broadly defined; justice as an individual virtue is sometimes regarded as a matter of ethics rather than of political philosophy (although not every political philosopher would agree with this way of demarcating justice from ethics). Moreover, an increasing number of theorists define social institutions more broadly so as to include societal structures related to class or caste, as well as social norms; under such broad definitions, conceptualising justice as a virtue of institutions touches upon many of the same aspects we would discuss if we were to see justice as a virtue of persons. For example, if a society has widely shared racist social norms, such as the disapproval of interracial love relationships, then a person who shows her disapproval of an interracial love relationship is acting upon an unjust social norm, but also showing non-virtuous behaviour.
Second, while sometimes the terms ‘social justice’ and ‘distributive justice’ are used as synonyms, it makes sense to understand ‘social justice’ as somewhat broader than ‘distributive justice’. Distributive justice always deals with an analysis of who gets what, whereas social justice may also relate to questions of respect or recognition, or the attitudes that a certain institution expresses. The capability approach is mainly discussed in theories of distributive justice, although it is to some extent able to integrate the concerns of theorists of recognition about what they conceive to be the narrow or mistaken focus of theories of distributive justice. 20
A third point to note about the literature on justice is that there are several different schools within social justice theories. According to Brian Barry and Matt Matravers, it is helpful to classify theories of social justice according to four types: conventionalism, teleology, justice as mutual advantage and egalitarian justice. Conventionalism is the view that issues of justice can be resolved by examining how local conventions, institutions, traditions and systems of law determine the divisions of burdens and benefits. Barry and Matravers rightly point out that this approach, which has been defended by Michael Walzer (1983), can lead to the acceptance of grossly unjust practices because they are generally endorsed by certain communities, even if they may be seen as unjust if judged on the basis of values and ideas not currently present (or dominant) in that society. Teleology is the view that social arrangements should be justified by referring to some good they are aiming for. Some examples are utilitarianism, natural law theory or Aquinas’ Christian philosophy. For teleological theories, what justice is follows from an account of the good, and thus the account of justice depends on the account of the social good itself. A criticism of teleological theories is that they necessarily rely on an external source (to specify what ‘the good’ is), such as utility, the natural law or God’s authority. Teleological accounts of justice therefore necessarily depend on notions of the ultimate good. However, in pluralistic societies characterised by a variety of religious and non-religious worldviews, it is hard to see how justice can be derived from notions of the good that are not endorsed by all. Many contemporary political philosophers therefore argue that teleological theories cannot be defended since people have competing ideas of the good, and we cannot call upon a generally-accepted external source that will tell us which idea of the good should be imposed on all.
The third and fourth schools of social justice, in comparison, share a commitment to some form of liberalism that recognizes the diversity of views of the good life, which a just society should respect. These schools experienced a major revival after the publication of John Rawls’s A Theory of Justice in 1971, which is generally regarded as the single most important work on social justice written in the last century. 21 Rawls turned to the social contract tradition , in which justice is understood as the fair distribution of benefits of social cooperation. The core idea is that rules of justice are ultimately more beneficial to everyone than if each were to pursue their own advantage by themselves. Some of these theories (though not Rawls’s!) take the relative power or bargaining strength of every individual in society as given , and one may therefore question whether in situations of unequal bargaining power, justice will be done (Nussbaum 2006b). The other liberal school of justice is egalitarian justice , which is premised on the idea that people should be treated with equal respect and concern (Dworkin 2000). The most basic claim of those theories is that people are morally equal: each person should be treated as a being of equal moral worth. However, that general and abstract claim can be further developed in many different ways, and it is in specifying these further details that philosophers disagree. Distributive justice requires equality of something, but not necessarily equality of outcome in material terms (in fact, plain equality of resources is a claim very few theorists of justice would be willing to defend, since people have different needs, are confronted with different circumstances and, if given the same opportunities, are likely to make different use of them). Hence, Rawls’s theory of justice can be seen as an egalitarian theory of justice, but so are theories that come to very different substantive conclusions, such as Robert Nozick’s (1974) entitlement theory. Other major contemporary theorists of justice who can be labelled ‘liberal egalitarian’ are Brian Barry (1995), Philippe Van Parijs (1995), and Ronald Dworkin (2000), among many others.
Of those four schools, it is primarily liberal egalitarian theories that are discussed in relation to the capability approach. While there is internal diversity within this group of liberal egalitarian theories, these theories share the commitment to the principle that there should be considerable (although by no means absolute) scope for individuals to determine their own life plan and notion of the good, as well as a commitment to a notion of equal moral consideration, which is another way to put the principle of each person as an end, or normative individualism (see section 2.6.8).
Of the four schools of social justice, only the last two regard justice and equality as being closely related values. Under conventionalism, justice is guided by existing traditions, conventions and institutions, even if those existing practices do not treat people as equals in a plausible sense. Teleological theories also do not understand justice as entailing some notion of equality; instead, the idea of the good is more important, even if it implies that people are not treated as moral equals. In some theories of conventionalism and teleology, social justice could be consistent with a notion of equality, but this is not necessarily the case for all these theories. The social contract tradition and liberal egalitarianism, in contrast, derive their principles of social justice from a fundamental idea of people as moral equals. However, the notion of equal moral worth does not necessarily lead to the notion of equality of resources or another type of equality of outcome, as will be explained in what follows. Social justice and equality are related in these theories, but not always at the level of material inequality, but rather at a more fundamental level of treating people as moral equals or with equal respect and concern.
For a proper understanding of mainstream philosophical literature on theories of justice, it is helpful to know that the literature itself is highly abstract, and often rather detached from questions about policy design or political feasibility. Sen (2006, 2009c) has recently criticised such theories, and in particular Rawls’s work, for being overly “transcendental”. Such ideal theories give an account of the perfectly just society, but do not tell us what needs to be done to get closer to that very ideal, how we can make the world less unjust and which of two situations might be more unjust than the other. Another critique of contemporary theories of justice is that they are often based on so-called idealisations or strong assumptions, which may introduce significant biases or exclude certain groups of people from the theory. For example, Dworkin (2000) sets his egalitarian theory against a set of background assumptions that rule out racist and sexist attitudes and behaviours, as well as the adaptation of preferences to unfair circumstances (Pierik and Robeyns 2007). Certain assumptions and meta-theoretical as well as methodological choices also put philosophical theories of justice at risk of being too far removed from practical applicability. When we try to apply contemporary theories of justice to the actual reality of our chaotic and often messy world, there are all sorts of complications that need to be taken into account, such as trade-offs between different values, power imbalances between different social groups, unintended consequences of justice-enhancing interventions and policies, or interests of individuals and groups that may conflict with concerns for justice (e.g. a desire for re-election on the part of government administrations).
Debates about the practical relevance of contemporary philosophical theories of justice have gained momentum in the last decade. It remains unclear whether the outcome will change the way theories of justice are constructed in the future. It may well be that we will see a turn towards more non-ideal, empirically-informed, ‘directly useful’ theories that are easier to translate into practice. In any case, it is fair to say that most capability theorists working on justice are among those who strongly advocate this turn to make theories of justice more relevant to practice.
In the previous section I gave a very brief account of the philosophical literature on theories of justice. What contribution can the capability approach make to this field? The first thing to note is that Martha Nussbaum has written at great length developing a capabilities theory of justice (e.g. Nussbaum 1988, 1992, Nussbaum 2000, 2002a; Nussbaum 2006b). Her capabilities theory is the most detailed capability theory of justice that has been developed up till now. Her theory is comprehensive, in the sense that it is not limited to an account of political justice, or to liberal democracies. Her account holds for all human beings on earth, independently of whether they are living in a liberal democratic regime, or of whether they are severely disabled. However, Nussbaum’s theory of social justice doesn’t amount to a full theory of social justice. The main demarcation of Nussbaum’s account is that it provides only “a partial and minimal account of social justice” (Nussbaum 2006b, 71) by specifying thresholds of a list of capabilities that governments in all nations should guarantee to their citizens. Nussbaum’s theory focuses on thresholds, but this does not imply that reaching these thresholds is all that matters for social justice; rather, her theory is partial and simply doesn’t discuss the question of what social justice requires once those thresholds are met. Not discussing certain things is not necessarily a flaw of a theory: this may be theoretical work that Nussbaum will do in the future, or it may be work that will be done by other scholars. Moreover, it is quite possible that Nussbaum’s account of partial justice is consistent with several accounts of what justice requires above the thresholds.
Yet, while Nussbaum’s theory of justice has been worked out in great detail and has received a lot of attention, it would be a grave mistake to think that there can be only one capability theory of justice. On the contrary, the open nature of the capability framework allows for the development of a family of capability theories of justice. This then prompts the question: what is needed if we want to create such a capability theory of justice? 22
First, a theory of justice needs to explain on what basis it justifies its principles or claims of justice. For example, Rawls uses the method of reflective equilibrium, including the thought experiment of the original position. 23 Dworkin’s egalitarian justice theory starts from the meta-principle of equal respect and concern, which he then develops in the principles that the distribution of burdens and benefits should be sensitive to the ambitions that people have but should not reflect the unequal natural endowments with which individuals are born (Dworkin 1981, 2000). One could also develop a capability theory of justice arguing that the ultimate driving force is a concern with agency (Claassen and Düwell 2013; Claassen 2016) or with human dignity (Nussbaum 2000; Nussbaum 2006b). If capability scholars want to develop a full theory of justice, they will also need to explain on what bases they justify their principles or claims. As mentioned earlier, Nussbaum starts from a notion of human dignity, whereas the Senian strand in the capability approach stresses the importance of what people have reason to value, hence an account of public reasoning. However, little work has been done so far to flesh out this embryonic idea of ‘having reason to value’, and it therefore remains unclear whether the capability approach has a solid unified rationale on the basis of which a full account of justice could be developed.
Second, as indicated above, in developing a capability theory of justice we must decide whether we want it to be an outcome or an opportunity theory; that is, whether we think that we should assess injustices in terms of functionings, or rather in terms of capabilities, or a mixture. At the level of theory and principles, most theorists of justice endorse the view that justice is done if all have equal genuine opportunities, or if all reach a minimal threshold of capability levels. Translated to the capability language, this would imply that at the level of theory and principles, capabilities are the relevant metric of justice, and not functionings. However, among theorists of justice, not everyone subscribes to this view. Anne Phillips (2004) has been a prominent voice arguing for equality of outcome, rather than opportunities. In the capability literature, Marc Fleurbaey (2002) has argued against an approach that takes only capabilities into account and has defended a focus on ‘refined functionings’ (being the combination of functionings and capabilities).
A third issue which needs to be solved if one hopes to develop a capability theory of justice is to decide and justify which capabilities matter the most. There are at least two ways of answering this question: either through procedural approaches, such as using criteria from which the relevant capabilities are derived, or by defending a specific list of capabilities. This selection of relevant capabilities for the purpose of justice can be done at the level of ideal theory (without taking issues of practical feasibility and implementation into account), at the level of abstract principles (Anderson 1999; Nussbaum 2006b; Claassen 2016) or at an applied theoretical level, which is useful for practical assessments of unjust inequalities (e.g. Robeyns 2003; Wolff and De-Shalit 2007).
Fourth, a capability theory of justice may need to engage in a comparison with other ‘metrics of justice’. In the literature on social justice there are several terms used to indicate what precisely we are assessing or measuring: the metric of advantage, the currency of justice, or the informational basis for the interpersonal comparisons for the purpose of justice. Within theories of justice, the main arguments are with Rawlsian 24 resourcists and with defenders of Dworkinian resourcism. 25 Other possible metrics are basic needs or the many different types of subjective welfare or preference satisfaction. A full capability theory of justice would need to show why it serves better as a metric of justice than these other metrics.
Fifth, a capability theory of justice needs to take a position on the “distributive rule” (Anderson 2010, 81) that it will endorse: will it argue for plain equality, or for sufficiency, or for prioritarianism, or for some other (mixed) distributive rule? Both Martha Nussbaum’s and Elizabeth Anderson’s theories are sufficiency accounts, but from this it does not follow, as one sometimes reads in the secondary literature, that the capability approach entails a sufficiency rule. Sen may have given the (wrong) impression of defending straight equality as a distributive rule, by asking the question “Equality of what?” (Sen 1980), though a careful reading shows that he was merely asking the question “ If we want to be defending equality of something, then what would that be?” In fact, Sen has remained uncommitted to one single distributive rule, which probably can be explained by the fact that he is averse to building a well-defined theory of justice but rather prefers to investigate how real-life unjust situations can be turned into more just situations, even if perfect justice is unattainable (Sen 2006, 2009c). The capability approach clearly plays a role in Sen’s work on justice, since when assessing a situation, he will investigate inequalities in people’s capabilities and analyse the processes that led to those inequalities. Yet Sen has an eclectic approach to theorizing, and hence other notions and theories (such as human rights or more formal discussions on freedoms from social choice theory) also play a role in his work on justice. The presence and importance of the capability approach in Sen’s work is thus undeniable, but should not be seen as the only defining feature.
Sixth, a capability theory of justice needs to specify where the line between individual and collective responsibility is drawn, or how this will be decided, and by whom. There is a remarkable absence of any discussion about issues of responsibility in the capability literature, in sharp contrast to political philosophy and welfare economics where this is one of the most important lines of debate, certainly since the publication of Dworkin’s (1981, 2000) work on justice and equality which led to what Anderson (1999) has called “luck-egalitarianism”. Nevertheless, whether one wants to discuss it explicitly or not, any concrete capability policy proposal can be analysed in terms of the division between personal and collective responsibility, but this terminology is largely absent from the capability literature. In part, this might be explained by the fact that much of the work on capabilities deals with global poverty, where issues of individual responsibility seem to be less relevant since it would seem outrageous to suggest that the world’s most destitute people are personally responsible for the situation they are in. That doesn’t mean that the responsibility question is not important: it is indeed of utmost importance to ask who is responsible for global poverty reduction or the fulfilling of international development targets, such as the Sustainable Development Goals on which political philosophers have written a great deal (Singer 2004, 2010; Pogge 2008). The point is rather that philosophical puzzles, such as the issue of expensive tastes (for expensive wine, caviar, fast cars, or you name it), are simply beyond the radar of the child labourer or the poor peasant. However, while this may perhaps justify the absence of any discussion about personal responsibility among capability scholars concerned with poverty, it does not absolve theorists of justice who deal with justice in affluent societies (or affluent sections of poor societies) from discussing the just division between personal and collective responsibility (Pierik and Robeyns 2007, 148–49).
This brings us to a related issue: a theory of justice generally specifies rights, but also duties. However, capability theorists have remained largely silent on the question of whose duty it is to expand the selected capabilities. Nussbaum passionately advocates that all people all over the world should be entitled, as a matter of justice, to threshold levels of all the capabilities on her list, but apart from mentioning that it is the governments’ duty to guarantee these entitlements (Nussbaum 2006b, 70), she remains silent on the question of who precisely should bear the burdens and responsibilities for realizing these capabilities. Yet as Onora O’Neill (1996, 122–53) has argued, questions of obligations and responsibilities should be central to any account of justice.
This section makes clear that a capability theory of justice is theoretically much more demanding than the basic presupposition of the capability approach that ‘functionings’ and ‘capabilities’ are the best metric for most kinds of interpersonal evaluations. While much has been written on the capability approach in recent years by an increasing number of scholars, including philosophers, much of the philosophical work needed for turning the open-ended capability approach into a specific theory of justice remains to be done.
Note, however, that not all capability theorists working on issues of justice believe that such a fully worked-out theory is required. Sen (2009c) himself has argued at length that we don’t need a theory that describes a utopian ideal, but rather we need theorising to help us with making comparisons of injustice, and to guide us towards a less unjust society. Similarly, Jay Drydyk (2012) has argued that the capability approach to justice should focus on reducing capability shortfalls, for which a utopian account of perfect justice is not needed. Some capability theorists may want to work out a full theory of justice by addressing the various specifications outlined above, while others may want to change the very nature of theorising about justice, moving it more to applied, non-ideal or grounded theories (Watene and Drydyk 2016).
Before closing this section on capabilitarian theorizing about justice, let us briefly shift from theory to practice. Since theories of justice are mainly developed at a highly abstract level, often entailing ideals of perfect justice, we may wonder whether the capability approach to social justice and equality is of any use in telling us what justice-enhancing strategies and policies to develop. Indeed, this has sometimes been phrased as a serious concern, namely, that theories of justice are too abstract and do not help us with social justice struggles on the ground. One may well argue that we roughly know what is going wrong and we need political action rather than more and more detailed theorising. Moreover, some think that in the real world the subtleties of theories of justice are easily abused in order to justify gross inequalities, as may have been the case with philosophical discussions on individual responsibility. For example, Brian Barry’s (2005) later work exemplified this concern with the direct application of theories of justice to political change and the reform of the welfare state, rather than with further philosophical refinements of theories of justice. Related charges have been aimed at the capability approach as well. For instance, it has been argued that not enough attention has been paid to issues of social power in the capability writings on justice, and Feldman and Gellert (2006) have underscored the importance of recognising the struggles and negotiations by dominated and disadvantaged groups if social justice is ever to be realised. Such questions of power politics, effective social criticism, successful collective action, historical and cultural sensitivities, and the negotiation of competing interests are indeed largely absent from the philosophical literature on theories of justice. These ideal theories develop standards of a just society, but often do not tell us what institutions or policies are necessary if just societies are to be constructed, nor do they tell us what social and political processes will help advocates implement these social changes in concrete ways.
But the capability approach can be linked to more concrete justice-enhancing policy proposals that have been developed. For one thing, the Millennium Development Goals could be understood as being a practical (albeit specific and also limited) translation of the capability approach in practice, and their successors, the Sustainable Development Goals, can also be seen as influenced by the capability approach. 26 In fact, at the level of severe global poverty, any concrete poverty-reduction strategy which conceptualises poverty in a capability sense is, for most accounts of justice, a concrete justice-enhancing strategy, since these theories would include the absence of severe poverty as a principle of justice.
If we move from the area of poverty-reduction strategies to the question of just social policies in countries or regions with higher levels of affluence, we observe that there are much fewer actual examples of justice-enhancing policies that have been explicitly grounded in, or associated with, the capability approach. Yet many concrete policies and interventions could be interpreted as such, or are consistent with the capability perspective itself. One example relates to a policy of providing, regulating and/or subsidising child-care facilities. This can arguably be justified as a prerequisite for gender justice in capabilities since, due to gender norms, women will in effect not be able to develop themselves professionally if they are not supported in their need for decent quality-regulated (and possibly subsidised) child-care facilities. Mothers at home may be materially well-off if their husbands earn a good income but, if they do not have the genuine opportunity to hold jobs, then their capability sets are severely constrained and gender justice in capabilities cannot be achieved. An income metric which assumes equal sharing in the household may not detect any moral problem, but a capability metric will claim that women have more limited freedoms than men, since the provisions are not there to ensure that both parents can hold jobs, and gender norms and other gendered social mechanisms make it highly unlikely that men will volunteer to stay at home with their children. At the same time, men are also losing out since they have a very limited capability to spend time with their newborn babies.
A slightly different example concerns a justice-enhancing intervention that can be found in the form of adult volunteers who visit disadvantaged families to read to the children in order to enhance their language skills. 27 It is well-known that many children of immigrants are disadvantaged at school since they are very likely to enter school with weaker knowledge of the language of instruction than non-immigrant children. For this reason, in several cities there are networks of volunteers to read books to small immigrant children in their own homes. In this way, they effectively reduce the gap in educational opportunity between immigrant children and non-immigrant children. This example also illustrates that justice-enhancing strategies are not confined to public policy, but can also be initiated by persons and groups at the grassroots. The government is not the only agent of justice; we can all do our part.
19 In particular, see the overview of different types of capability study in section 2.4.
20 It doesn’t follow that all concerns of theorists of recognition are best expressed by using the capability approach. I doubt that this is the case, but will not pursue this issue here further.
21 There is a large literature on the differences and complementarities between the capability approach to justice (that is, capabilitarian theories of justice) and Rawls’s theory of justice (see e.g. Sen 1980, 195–200; Rawls 1988; Sen 1992a, 82–83; Pogge 2002; Nussbaum 2006b; Robeyns 2008b, 2009; and the contributions to Brighouse and Robeyns 2010).
22 I have presented this overview of steps that need to be taken in earlier publications (e.g. Robeyns 2016d).
23 An accessible explanation of the method of reflective equilibrium can be found in Knight (2017).
24 An analysis of this comparison between social primary goods and capabilities was made by the various contributions to the volume edited by Brighouse and Robeyns (2010).
25 For comparisons of the capability view with Dworkin’s egalitarian theory, see Sen (1984b, 321–23, 2009c, 264–68); Dworkin (2000, 299–303); Williams (2002); Browne and Stears (2005); Kaufman (2006); Pierik and Robeyns (2007).
26 See http://www.un.org/sustainabledevelopment/sustainable-development-goals/
27 In the Netherlands, this volunteer organisation is called De Voorleesexpress ( https://voorleesexpress.nl ) but similar initiatives must exist around the world.
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The capability approach developed by Nobel Laureate Amartya Sen has become an important new paradigm in thinking about development. However, despite its theoretical and philosophical attractiveness, it has been less easy to measure or to translate into policy. This volume addresses these issues in the context of poverty and justice. Part I offers a set of conceptual essays that debate the strength of the often misunderstood individual focus of the capability approach. Part II investigates the techniques by which we can measure and compare capabilities, and how we can integrate them into poverty comparisons and policy advice. Finally, Part III looks at how we can apply the capability approach to different regions and contexts. Written by a team of international scholars, The Capability Approach is a valuable resource for researchers and graduate students concerned with the debate over the value of the capability approach and its potential applications.
Review of the hardback: 'Amartya Sen's notion of capabilities is a rich source of new ideas and philosophical debates about such diverse and wide ranging issues as development, poverty, inequality, human rights, gender, identity and democracy. Here is a collection of well-researched and cogently written essays discussing these many aspects and taking the debates further. It will provide a quarry of ideas for policy makers, researchers, teachers and students of these many issues.' Lord Meghnad Desai, Emeritus Professor of Economics and former director of the Centre for Global Governance, London School of Economics
Review of the hardback: 'These essays on Amartya Sen's capability approach to thinking about human well-being, and so about poverty and development, raise fundamental questions. Can a capabilities approach yield coherent and convincing concepts of well-being and of poverty, or ways of measuring them? What, if anything, does it do better than income- or resource-based approaches? Or is a demand that it 'do better' in the terms of its rivals simply evidence of failure to think through the implications of taking capabilities, and thereby human agency and diversity, seriously? If so, how should the success of work based on capabilities be judged? Why is there so much disagreement over the supposed individualism of the capabilities approach? Has the approach led to significant practical initiatives? The essays in this ample collection offer a rich and often detailed reflection on these and other fundamental questions, and some sharp analyses of central questions about capabilities.' Baroness Onora O'Neill, Professor of Philosophy, University of Cambridge
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List of figures List of tables Introduction 1. Using the capability approach: prospective and evaluative analyses Sabina Alkire Part I. Concepts: 2. Amartya Sen's capability view: insightful sketch or distorted picture? Mozaffar Qizilbash 3. Sen's capability approach and feminist concerns Ingrid Robeyns 4. Beyond individual freedom and agency: structures of living together in the capability approach to development Séverine Deneulin 5. Does identity matter? On the relevance of identity and interaction for capabilities Miriam Teschl and Laurent Derobert 6. Measuring Capabilities Flavio Comim Part II. Measures: 7. Do concepts matter? An empirical investigation of the differences between a capability and a monetary assessment of poverty Caterina Ruggeri Laderchi 8. Social exclusion in the EU: a capability-based approach Fotis Papadopoulos and Panos Tsakloglou 9. Complexity and vagueness in the capability approach: strengths or weaknesses? Enrica Chiappero Martinetti 10. Operationalising Sen's capability approach: the influence of the selected technique Sara Lelli 11. Operationalizing capabilities in a segmented society: the role of institutions Kanchan Chopra and Anantha Kumar Duraiappah Part III. Applications: 12. Democracy, decentralisation and access to basic services: an elaboration on Sen's capability approach Santosh Mehrotra 13. Reinforcing household's capabilities as a way to reduce vulnerability and prevent poverty in equitable terms Jean-Luc Dubois and Sophie Rousseau 14. Capabilities over the lifecourse: at what age does poverty damage most? Shahin Yaqub 15. Social policy and the ability to appear in public without shame: some lessons from a food relief programme in Kinshasa Tom De Herdt 16. The capability approach and gendered education:some issues of operationalisation in the context of the HIV/AIDs epidemic in South Africa Elaine Unterhalter 17. Women and poverty In Mozambique: is there a gender bias In capabilities, employment conditions and living standards? Pier Giogio Ardeni and Antonio Andracchio 18. From the quantity to the quality of employment: an application of the capability approach to the Chilean labour market Kirsten Sehnbruch Index.
Sabina Alkire, Mozaffar Qizilbash, Ingrid Robeyns, Séverine Deneulin, Miriam Teschl, Laurent Derobert, Flavio Comim, Caterina Ruggeri Laderchi, Fotis Papadopoulos, Panos Tsakloglou, Enrica Chiappero Martinetti, Sara Lelli, Kanchan Chopra, Anantha Kumar Duraiappah, Santosh Mehrotra, Jean-Luc Dubois, Sophie Rousseau, Shahin Yaqub, Tom De Herdt, Elaine Unterhalter, Pier Giogio Ardeni, Antonio Andracchio, Kirsten Sehnbruch
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From Theory to Practice
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Front matter, introduction: the capability approach: from theory to practice — rationale, review and reflections.
Solava Ibrahim
Meera Tiwari
Growing up on the street — understanding the lives of street children and youth in africa.
Back matter.
“This book is a novel contribution to the existing literature and that it will provide a key point of reference for any PhD student or researcher attempting to apply the CA to practice in their respective fields for many years to come. ... this book provides a good starting point for anyone else heading down a similar road, although the work contained in this book should make that trip less arduous.” (Paul Mark Mitchell, Journal of Human Development and Capabilities, Vol. 17 (2), May, 2016)
'This book convincingly demonstrates that the application of the capability approach to development policy and practice should be prioritised . by both researchers and practitioners. It provides both a thoughtful overview of 'why' and 'how' to move from theory to practice, and nine case studies (from rural India and Upper Egypt to the UK and Germany)that give detailed analyses of the application of the capability approach. Essential reading for all who are seeking to promote human flourishing.' David Hulme, University of Manchester, UK
'People often ask 'how do I apply the capability approach in practice it is a convincing idea in theory but what does it mean in concrete?' This book bridges the gap with a collection of wide ranging case studies from Brazil, Egypt, France, Germany, India and elsewhere. A must read for scholars and practitioners in search of a people centred and equitable development.' Sakiko Fukuda-Parr, The New School University, New York, USA
'This book is a refreshing contribution to the literature on the operationalisation of the Capability Approach. The essays and case studies in this rich collection provide a lucid variety of accounts of how to apply the human development paradigm to the real world. This international team of scholars has produced an outstanding reference work for scholars, policy-makers and non-specialists.' Flavio Comim, University of Cambridge, UK
About the editors, bibliographic information.
Book Title : The Capability Approach
Book Subtitle : From Theory to Practice
Editors : Solava Ibrahim, Meera Tiwari
DOI : https://doi.org/10.1057/9781137001436
Publisher : Palgrave Macmillan London
eBook Packages : Palgrave Intern. Relations & Development Collection , Political Science and International Studies (R0)
Copyright Information : Palgrave Macmillan, a division of Macmillan Publishers Limited 2014
Hardcover ISBN : 978-1-137-00144-3 Published: 22 July 2014
Softcover ISBN : 978-1-349-43363-6 Published: 01 January 2014
eBook ISBN : 978-1-137-00143-6 Published: 22 July 2014
Edition Number : 1
Number of Pages : XIV, 273
Topics : Development Economics , Development Policy , Development Aid , Development Theory , Development Studies , Methodology of the Social Sciences
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Recent studies and exercises have shown that the Army needs a layered approach to EW and that the electromagnetic spectrum should be treated as terrain.
The Army has been reexamining its approach to electronic warfare as recent studies and exercises have shown that the service needs a layered approach to EW and that the electromagnetic spectrum should be treated with the same strategic importance as physical terrain in military operations.
Over the last year, the service conducted multiple studies examining its cyber and electronic warfare resources and capabilities, including the 120-day study conducted by the Cyber Center of Excellence team , followed by a series of classified studies conducted by Georgia Tech Research Institute.
Last month, the service held an EW tabletop exercise at Aberdeen Proving Ground, Maryland , where participants , including I Corps, III Corps, XVIII Airborne Corps and Multi-Domain Task Force , among others , examined over 70 different EW capabilities across the service. The goal was to understand how those capabilities fit into current operational scenarios, identify gaps and develop potential approaches to operational challenges.
“Some of the gaps — it was more of a scenario-based. But fundamentally, just understanding what you look like in the electromagnetic spectrum, what your adversaries look like and how you can be influenced is really one of the the main areas that we walked away from,” Brig. Gen. Ed Barker, program executive officer for intelligence, electronic warfare and sensors, said during a C4ISRnet event Wednesday.
Learn about CDM's ever-evolving role in civilian cyber in our new ebook, sponsored by Booz Allen Hamilton. Download today!
“It really validated that you got to have that kind of layered approach to address those gaps. I think the takeaway was we have to treat the EMS as terrain — you have to be able to hold terrain, you have to be able to maneuver inside of it and you also have to be able to affect the enemy. That was probably the biggest takeaway.”
Due to the unique nature of different operational environments, the U.S. forces can’t rely on a single solution. For example, given particular characteristics of the Pacific theater, air-launched effects , or the ability to deploy EW capabilities from a distance , are needed.
At closer ranges, EW capabilities are needed to protect specific platforms, such as tanks or Bradley Fighting Vehicles, against threats like inbound drones.
“If you want to non-kinetically effect inbound drone to ensure that it misses a tank, that’s similar physics, but the ranges and the outcomes are somewhat different. So you’re doing something in a very long range. And then you’re also, you know, making sure that you can protect those close-in assets,” Baker said.
“From a technical standpoint, it’s definitely a significantly different problem — protecting something within 500 kilometers versus protecting something within the last 500 meters.”
Despite units having to rely on different systems and capabilities depending on their geographical location, they need to be connected to share real-time data and intelligence.
The Army Cyber Center of Excellence is currently conducting an EW pilot to develop a unified EW data architecture that will allow seamless data integration from different sources and regions.
“We have to just be comfortable with the fact that they’re going to be geographically dispersed and have to operate independently, but then also be interconnected. The data conversation is absolutely real – you have to understand the fundamentals underlying data challenges associated with the EW space,” said Baker.
Read more: Defense
The Army and Marine Corps are conducting a pilot to develop common data standards and capabilities.
The Army recently decided to shift from the Electronic Warfare Planning and Management Tool’s electromagnetic warfare and spectrum management capabilities to the Tactical Assault Kit (TAK) framework, where applications for situational awareness data and geospatial visualizations can be built. The effort is being led by the Electronic Warfare Integration product management office.
“It aligns ourselves with the rest of the fires in the maneuver communities to achieve a commonality across software development, user interfaces, common experiences, underlying data and it’s part of that overall TAK architecture,” said Baker.
Copyright © 2024 Federal News Network. All rights reserved. This website is not intended for users located within the European Economic Area.
Each week, Defense Reporter Jared Serbu speaks with the managers of the federal government's largest department. Subscribe on PodcastOne or Apple Podcasts .
The state has made it harder to widen highways, and transportation officials are turning their eyes to transit.
Credit... Elliot Ross for The New York Times
Supported by
By Megan Kimble
When Interstate 25 was constructed through Denver, highway engineers moved a river.
It was the 1950s, and nothing was going to get in the way of building a national highway system. Colorado’s governor and other dignitaries, including the chief engineer of the state highway department, acknowledged the moment by posing for a photo standing on bulldozer tracks, next to the trench that would become Interstate 25.
Today, state highway departments have rebranded as transportation agencies, but building, fixing and expanding highways is still mostly what they do.
So it was notable when, in 2022, the head of Colorado’s Department of Transportation called off a long planned widening of Interstate 25. The decision to do nothing was arguably more consequential than the alternative. By not expanding the highway, the agency offered a new vision for the future of transportation planning.
In Colorado, that new vision was catalyzed by climate change. In 2019, Gov. Jared Polis signed a law that required the state to reduce greenhouse gas emissions by 90 percent within 30 years. As the state tried to figure out how it would get there, it zeroed in on drivers. Transportation is the largest single contributor to greenhouse gas emissions in the United States, accounting for about 30 percent of the total; 60 percent of that comes from cars and trucks. To reduce emissions, Coloradans would have to drive less.
An effective bit of bureaucracy drove that message home. After sustained lobbying from climate and environmental justice activists, the Transportation Commission of Colorado adopted a formal rule that makes the state transportation agency, along with Colorado’s five metropolitan planning organizations, demonstrate how new projects, including highways, reduce greenhouse gas emissions. If they don’t, they could lose funding.
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In the months and years since ChatGPT burst on the scene in November 2022, generative AI (gen AI) has come a long way. Every month sees the launch of new tools, rules, or iterative technological advancements. While many have reacted to ChatGPT (and AI and machine learning more broadly) with fear, machine learning clearly has the potential for good. In the years since its wide deployment, machine learning has demonstrated impact in a number of industries, accomplishing things like medical imaging analysis and high-resolution weather forecasts. A 2022 McKinsey survey shows that AI adoption has more than doubled over the past five years, and investment in AI is increasing apace. It’s clear that generative AI tools like ChatGPT (the GPT stands for generative pretrained transformer) and image generator DALL-E (its name a mashup of the surrealist artist Salvador Dalí and the lovable Pixar robot WALL-E) have the potential to change how a range of jobs are performed. The full scope of that impact, though, is still unknown—as are the risks.
Aamer Baig is a senior partner in McKinsey’s Chicago office; Lareina Yee is a senior partner in the Bay Area office; and senior partners Alex Singla and Alexander Sukharevsky , global leaders of QuantumBlack, AI by McKinsey, are based in the Chicago and London offices, respectively.
Still, organizations of all stripes have raced to incorporate gen AI tools into their business models, looking to capture a piece of a sizable prize. McKinsey research indicates that gen AI applications stand to add up to $4.4 trillion to the global economy—annually. Indeed, it seems possible that within the next three years, anything in the technology, media, and telecommunications space not connected to AI will be considered obsolete or ineffective .
But before all that value can be raked in, we need to get a few things straight: What is gen AI, how was it developed, and what does it mean for people and organizations? Read on to get the download.
To stay up to date on this critical topic, sign up for email alerts on “artificial intelligence” here .
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What’s the difference between machine learning and artificial intelligence, about quantumblack, ai by mckinsey.
QuantumBlack, McKinsey’s AI arm, helps companies transform using the power of technology, technical expertise, and industry experts. With thousands of practitioners at QuantumBlack (data engineers, data scientists, product managers, designers, and software engineers) and McKinsey (industry and domain experts), we are working to solve the world’s most important AI challenges. QuantumBlack Labs is our center of technology development and client innovation, which has been driving cutting-edge advancements and developments in AI through locations across the globe.
Artificial intelligence is pretty much just what it sounds like—the practice of getting machines to mimic human intelligence to perform tasks. You’ve probably interacted with AI even if you don’t realize it—voice assistants like Siri and Alexa are founded on AI technology, as are customer service chatbots that pop up to help you navigate websites.
Machine learning is a type of artificial intelligence. Through machine learning, practitioners develop artificial intelligence through models that can “learn” from data patterns without human direction. The unmanageably huge volume and complexity of data (unmanageable by humans, anyway) that is now being generated has increased machine learning’s potential , as well as the need for it.
Machine learning is founded on a number of building blocks, starting with classical statistical techniques developed between the 18th and 20th centuries for small data sets. In the 1930s and 1940s, the pioneers of computing—including theoretical mathematician Alan Turing—began working on the basic techniques for machine learning. But these techniques were limited to laboratories until the late 1970s, when scientists first developed computers powerful enough to mount them.
Until recently, machine learning was largely limited to predictive models, used to observe and classify patterns in content. For example, a classic machine learning problem is to start with an image or several images of, say, adorable cats. The program would then identify patterns among the images, and then scrutinize random images for ones that would match the adorable cat pattern. Generative AI was a breakthrough. Rather than simply perceive and classify a photo of a cat, machine learning is now able to create an image or text description of a cat on demand.
How do text-based machine learning models work how are they trained.
ChatGPT may be getting all the headlines now, but it’s not the first text-based machine learning model to make a splash. OpenAI’s GPT-3 and Google’s BERT both launched in recent years to some fanfare. But before ChatGPT, which by most accounts works pretty well most of the time (though it’s still being evaluated), AI chatbots didn’t always get the best reviews. GPT-3 is “by turns super impressive and super disappointing,” said New York Times tech reporter Cade Metz in a video where he and food writer Priya Krishna asked GPT-3 to write recipes for a (rather disastrous) Thanksgiving dinner .
The first machine learning models to work with text were trained by humans to classify various inputs according to labels set by researchers. One example would be a model trained to label social media posts as either positive or negative. This type of training is known as supervised learning because a human is in charge of “teaching” the model what to do.
The next generation of text-based machine learning models rely on what’s known as self-supervised learning. This type of training involves feeding a model a massive amount of text so it becomes able to generate predictions. For example, some models can predict, based on a few words, how a sentence will end. With the right amount of sample text—say, a broad swath of the internet—these text models become quite accurate. We’re seeing just how accurate with the success of tools like ChatGPT.
Building a generative AI model has for the most part been a major undertaking, to the extent that only a few well-resourced tech heavyweights have made an attempt . OpenAI, the company behind ChatGPT, former GPT models, and DALL-E, has billions in funding from bold-face-name donors. DeepMind is a subsidiary of Alphabet, the parent company of Google, and even Meta has dipped a toe into the generative AI model pool with its Make-A-Video product. These companies employ some of the world’s best computer scientists and engineers.
But it’s not just talent. When you’re asking a model to train using nearly the entire internet, it’s going to cost you. OpenAI hasn’t released exact costs, but estimates indicate that GPT-3 was trained on around 45 terabytes of text data—that’s about one million feet of bookshelf space, or a quarter of the entire Library of Congress—at an estimated cost of several million dollars. These aren’t resources your garden-variety start-up can access.
As you may have noticed above, outputs from generative AI models can be indistinguishable from human-generated content, or they can seem a little uncanny. The results depend on the quality of the model—as we’ve seen, ChatGPT’s outputs so far appear superior to those of its predecessors—and the match between the model and the use case, or input.
ChatGPT can produce what one commentator called a “ solid A- ” essay comparing theories of nationalism from Benedict Anderson and Ernest Gellner—in ten seconds. It also produced an already famous passage describing how to remove a peanut butter sandwich from a VCR in the style of the King James Bible. Image-generating AI models like DALL-E 2 can create strange, beautiful images on demand, like a Raphael painting of a Madonna and child, eating pizza . Other generative AI models can produce code, video, audio, or business simulations .
But the outputs aren’t always accurate—or appropriate. When Priya Krishna asked DALL-E 2 to come up with an image for Thanksgiving dinner, it produced a scene where the turkey was garnished with whole limes, set next to a bowl of what appeared to be guacamole. For its part, ChatGPT seems to have trouble counting, or solving basic algebra problems—or, indeed, overcoming the sexist and racist bias that lurks in the undercurrents of the internet and society more broadly.
Generative AI outputs are carefully calibrated combinations of the data used to train the algorithms. Because the amount of data used to train these algorithms is so incredibly massive—as noted, GPT-3 was trained on 45 terabytes of text data—the models can appear to be “creative” when producing outputs. What’s more, the models usually have random elements, which means they can produce a variety of outputs from one input request—making them seem even more lifelike.
The opportunity for businesses is clear. Generative AI tools can produce a wide variety of credible writing in seconds, then respond to criticism to make the writing more fit for purpose. This has implications for a wide variety of industries, from IT and software organizations that can benefit from the instantaneous, largely correct code generated by AI models to organizations in need of marketing copy. In short, any organization that needs to produce clear written materials potentially stands to benefit. Organizations can also use generative AI to create more technical materials, such as higher-resolution versions of medical images. And with the time and resources saved here, organizations can pursue new business opportunities and the chance to create more value.
We’ve seen that developing a generative AI model is so resource intensive that it is out of the question for all but the biggest and best-resourced companies. Companies looking to put generative AI to work have the option to either use generative AI out of the box or fine-tune them to perform a specific task. If you need to prepare slides according to a specific style, for example, you could ask the model to “learn” how headlines are normally written based on the data in the slides, then feed it slide data and ask it to write appropriate headlines.
Because they are so new, we have yet to see the long tail effect of generative AI models. This means there are some inherent risks involved in using them—some known and some unknown.
The outputs generative AI models produce may often sound extremely convincing. This is by design. But sometimes the information they generate is just plain wrong. Worse, sometimes it’s biased (because it’s built on the gender, racial, and myriad other biases of the internet and society more generally) and can be manipulated to enable unethical or criminal activity. For example, ChatGPT won’t give you instructions on how to hotwire a car, but if you say you need to hotwire a car to save a baby, the algorithm is happy to comply. Organizations that rely on generative AI models should reckon with reputational and legal risks involved in unintentionally publishing biased, offensive, or copyrighted content.
These risks can be mitigated, however, in a few ways. For one, it’s crucial to carefully select the initial data used to train these models to avoid including toxic or biased content. Next, rather than employing an off-the-shelf generative AI model, organizations could consider using smaller, specialized models. Organizations with more resources could also customize a general model based on their own data to fit their needs and minimize biases. Organizations should also keep a human in the loop (that is, to make sure a real human checks the output of a generative AI model before it is published or used) and avoid using generative AI models for critical decisions, such as those involving significant resources or human welfare.
It can’t be emphasized enough that this is a new field. The landscape of risks and opportunities is likely to change rapidly in coming weeks, months, and years. New use cases are being tested monthly, and new models are likely to be developed in the coming years. As generative AI becomes increasingly, and seamlessly, incorporated into business, society, and our personal lives, we can also expect a new regulatory climate to take shape. As organizations begin experimenting—and creating value—with these tools, leaders will do well to keep a finger on the pulse of regulation and risk.
Articles referenced include:
This article was updated in April 2024; it was originally published in January 2023.
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Today the Chief Digital and Artificial Intelligence Office (CDAO) announced a new approach to scaling data, analytics, and artificial intelligence (AI) capabilities called Open DAGIR, which stands for the Open Data and Applications Government-owned Interoperable Repositories. Open DAGIR will be a multi-vendor ecosystem with supporting business models that enables industry and government to integrate data platforms, development tools, services, and applications in a way that preserves government data ownership and industry intellectual property.
"Open DAGIR builds upon the momentum created by the Deputy Secretary of Defense's 2021 Creating Data Advantage memo, which included five data decrees for how the Department would retain ownership of its data while maximizing data sharing," said Dr. Radha Plumb, the CDAO. "Open DAGIR brings the best industry has to offer to the Department. It allows us to ensure enduring access to government-owned, contractor-operated technology stacks and infrastructure and retain data rights while also maximizing the ability of other companies to develop applications with government data." The Department will initially leverage the Open DAGIR ecosystem to support the data infrastructure and applications that support the Combined Joint All Domain Command and Control (CJADC2). This week, the Department made awards on mission command applications for combatant commands. The first ensures enterprise access to an open, government owned infrastructure with foundational data integrations, mature software deployment tools, and security architecture for government data. The second award is a prototype other transaction award (OTA) to rapidly and securely onboard third-party vendor and government capabilities into the government owned, contractor-operated data environment to meet priority Combatant Command digital needs. CDAO plans to explore similar approaches to enabling enduring access to infrastructure for enterprise analytics and federated tactical data in the future.
To identify solutions to priority warfighter needs, the CDAO will leverage its Global Information Dominance Experiment (GIDE) series to assess and where appropriate select new solutions to add to the Open DAGIR ecosystem. This will begin with an industry day in mid July.
"We want America's best talent solving DoD's hardest problems," Dr. Plumb said. "Open DAGIR ensures the Department can leverage the innovative solutions from the world-class software developers in both the traditional and nontraditional industrial base to create capabilities for our warfighters and decision makers. Combined with our experimentation-based approach to capability development, we aim to give industry front-row access to both our data and our users to develop relevant and timely software for decision advantage."
The CDAO awarded the prototype OTA through its award-winning Tradewinds Solutions Marketplace, which is a digital repository of post competition, readily awardable pitch videos that address the Department of Defense's (DoD) most significant challenges in the AI/ML, data, and analytics space. All awardable solutions have been assessed through complex scoring rubrics and competitive procedures and are available to Government customers with a Marketplace account at www.tradewindai.com .
About the CDAO
The CDAO is responsible for accelerating the DoD's adoption of data, analytics, and AI, enabling the Department's digital infrastructure and policy adoption to deliver scalable AI-driven solutions for enterprise and joint use cases, safeguarding the nation against current and emerging threats. For more information about the CDAO, please visit our website at ai.mil . You can also connect with the CDAO on LinkedIn (@ DoD Chief Digital and Artificial Intelligence Office) and X, formally known as Twitter (@dodcdao). Additional updates and news can be found on the CDAO Unit Page on DVIDS.
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Journalists, researchers and the public often look at society through the lens of generation, using terms like Millennial or Gen Z to describe groups of similarly aged people. This approach can help readers see themselves in the data and assess where we are and where we’re headed as a country.
Pew Research Center has been at the forefront of generational research over the years, telling the story of Millennials as they came of age politically and as they moved more firmly into adult life . In recent years, we’ve also been eager to learn about Gen Z as the leading edge of this generation moves into adulthood.
But generational research has become a crowded arena. The field has been flooded with content that’s often sold as research but is more like clickbait or marketing mythology. There’s also been a growing chorus of criticism about generational research and generational labels in particular.
Recently, as we were preparing to embark on a major research project related to Gen Z, we decided to take a step back and consider how we can study generations in a way that aligns with our values of accuracy, rigor and providing a foundation of facts that enriches the public dialogue.
A typical generation spans 15 to 18 years. As many critics of generational research point out, there is great diversity of thought, experience and behavior within generations.
We set out on a yearlong process of assessing the landscape of generational research. We spoke with experts from outside Pew Research Center, including those who have been publicly critical of our generational analysis, to get their take on the pros and cons of this type of work. We invested in methodological testing to determine whether we could compare findings from our earlier telephone surveys to the online ones we’re conducting now. And we experimented with higher-level statistical analyses that would allow us to isolate the effect of generation.
What emerged from this process was a set of clear guidelines that will help frame our approach going forward. Many of these are principles we’ve always adhered to , but others will require us to change the way we’ve been doing things in recent years.
Here’s a short overview of how we’ll approach generational research in the future:
We’ll only do generational analysis when we have historical data that allows us to compare generations at similar stages of life. When comparing generations, it’s crucial to control for age. In other words, researchers need to look at each generation or age cohort at a similar point in the life cycle. (“Age cohort” is a fancy way of referring to a group of people who were born around the same time.)
When doing this kind of research, the question isn’t whether young adults today are different from middle-aged or older adults today. The question is whether young adults today are different from young adults at some specific point in the past.
To answer this question, it’s necessary to have data that’s been collected over a considerable amount of time – think decades. Standard surveys don’t allow for this type of analysis. We can look at differences across age groups, but we can’t compare age groups over time.
Another complication is that the surveys we conducted 20 or 30 years ago aren’t usually comparable enough to the surveys we’re doing today. Our earlier surveys were done over the phone, and we’ve since transitioned to our nationally representative online survey panel , the American Trends Panel . Our internal testing showed that on many topics, respondents answer questions differently depending on the way they’re being interviewed. So we can’t use most of our surveys from the late 1980s and early 2000s to compare Gen Z with Millennials and Gen Xers at a similar stage of life.
This means that most generational analysis we do will use datasets that have employed similar methodologies over a long period of time, such as surveys from the U.S. Census Bureau. A good example is our 2020 report on Millennial families , which used census data going back to the late 1960s. The report showed that Millennials are marrying and forming families at a much different pace than the generations that came before them.
Even when we have historical data, we will attempt to control for other factors beyond age in making generational comparisons. If we accept that there are real differences across generations, we’re basically saying that people who were born around the same time share certain attitudes or beliefs – and that their views have been influenced by external forces that uniquely shaped them during their formative years. Those forces may have been social changes, economic circumstances, technological advances or political movements.
When we see that younger adults have different views than their older counterparts, it may be driven by their demographic traits rather than the fact that they belong to a particular generation.
The tricky part is isolating those forces from events or circumstances that have affected all age groups, not just one generation. These are often called “period effects.” An example of a period effect is the Watergate scandal, which drove down trust in government among all age groups. Differences in trust across age groups in the wake of Watergate shouldn’t be attributed to the outsize impact that event had on one age group or another, because the change occurred across the board.
Changing demographics also may play a role in patterns that might at first seem like generational differences. We know that the United States has become more racially and ethnically diverse in recent decades, and that race and ethnicity are linked with certain key social and political views. When we see that younger adults have different views than their older counterparts, it may be driven by their demographic traits rather than the fact that they belong to a particular generation.
Controlling for these factors can involve complicated statistical analysis that helps determine whether the differences we see across age groups are indeed due to generation or not. This additional step adds rigor to the process. Unfortunately, it’s often absent from current discussions about Gen Z, Millennials and other generations.
When we can’t do generational analysis, we still see value in looking at differences by age and will do so where it makes sense. Age is one of the most common predictors of differences in attitudes and behaviors. And even if age gaps aren’t rooted in generational differences, they can still be illuminating. They help us understand how people across the age spectrum are responding to key trends, technological breakthroughs and historical events.
Each stage of life comes with a unique set of experiences. Young adults are often at the leading edge of changing attitudes on emerging social trends. Take views on same-sex marriage , for example, or attitudes about gender identity .
Many middle-aged adults, in turn, face the challenge of raising children while also providing care and support to their aging parents. And older adults have their own obstacles and opportunities. All of these stories – rooted in the life cycle, not in generations – are important and compelling, and we can tell them by analyzing our surveys at any given point in time.
When we do have the data to study groups of similarly aged people over time, we won’t always default to using the standard generational definitions and labels. While generational labels are simple and catchy, there are other ways to analyze age cohorts. For example, some observers have suggested grouping people by the decade in which they were born. This would create narrower cohorts in which the members may share more in common. People could also be grouped relative to their age during key historical events (such as the Great Recession or the COVID-19 pandemic) or technological innovations (like the invention of the iPhone).
By choosing not to use the standard generational labels when they’re not appropriate, we can avoid reinforcing harmful stereotypes or oversimplifying people’s complex lived experiences.
Existing generational definitions also may be too broad and arbitrary to capture differences that exist among narrower cohorts. A typical generation spans 15 to 18 years. As many critics of generational research point out, there is great diversity of thought, experience and behavior within generations. The key is to pick a lens that’s most appropriate for the research question that’s being studied. If we’re looking at political views and how they’ve shifted over time, for example, we might group people together according to the first presidential election in which they were eligible to vote.
With these considerations in mind, our audiences should not expect to see a lot of new research coming out of Pew Research Center that uses the generational lens. We’ll only talk about generations when it adds value, advances important national debates and highlights meaningful societal trends.
Kim Parker is director of social trends research at Pew Research Center .
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The capability approach is a theoretical framework that entails two normative claims: first, the claim that the freedom to achieve well-being is of primary moral importance and, second, that well-being should be understood in terms of people's capabilities and functionings. ... Essays for Amartya Sen's 75 th Birthday, Oxford University ...
Over the last decade Amartya Sen™s Capability Approach (CA) has emerged as the leading alternative to standard economic frameworks for thinking about poverty, ... relates to Isaiah Berlin™s (1958) classic essay ‚Two Concepts of Liberty™, which mounts a fierce attack on the positive concepts of freedom that inspired Sen (but see Sen ...
on the Capability Approach, Pavia, Italy, on 6 September 2003. Please do not quote or reproduce without my permission. I would like to thank all those friends and colleagues who commented on earlier papers on which this text is based, and in particular Amartya Sen who taught me much about the capability approach during my doctoral research.
Sen's Capability Approach. Amartya Sen. The Capability Approach is defined by its choice of focus upon the moral significance of individuals' capability of achieving the kind of lives they have reason to value. This distinguishes it from more established approaches to ethical evaluation, such as utilitarianism or resourcism, which focus ...
The capability approach is a theoretical framework that entails two core normative claims: first, the claim that the freedom to achieve well-being is of primary moral importance, and second, that freedom to achieve well-being is to be understood in terms of people's capabilities, that is, their real opportunities to do and be what they have reason to value.
Review of the hardback:'These essays on Amartya Sen's capability approach to thinking about human well-being, and so about poverty and development, raise fundamental questions. Can a capabilities approach yield coherent and convincing concepts of well-being and of poverty, or ways of measuring them?
3.3 Equality. As a normative framework, the capability approach is explicit in valuing each individual equally. Questions of distribution, of inequality and poverty, are therefore essential parts of development evaluation in the capability framework, while standard economic analysis sees them as questions for political debate (Burchardt and Hick 2018).
In recent years, the human development and capability approach (HDCA) to development studies has gained increased attention from academics, practitioners and policy-makers. Its freedom-centred view of development, its accounting for interpersonal and intercultural...
The Capability Approach from Theory to Practice 5 2.1 From a normative perspective First, the use of the CA as a framework for policy-making can help bring a new normative dimension into development policy and practice. The CA focuses on what people have reason to value, thus respecting cultural
This approach has gained much support, among academics as well as among international agencies and non-governmental organizations, at the expense of competing resourcist and wel-farist approaches exemplified, respectively, by John Rawls's theory and utilitarianism. In this essay, I examine how the capability approach has been, and
The capability approach (also referred to as the capabilities approach) is a normative approach to human welfare that concentrates on the actual capability of persons to achieve lives they value rather than solely having a right or freedom to do so. It was conceived in the 1980s as an alternative approach to welfare economics.. In this approach, Amartya Sen and Martha Nussbaum combine a range ...
approach has gained much support, among academics as well as among international agencies and nongovernmental organizations, at the expense of competing resourcist and welfarist approaches exemplified, respectively, by John Rawls's theory and utilitarianism. In this essay, I examine how the capability approach has been, and might be, justified as
David A. Clark & University of Manchester, 2005. " The Capability Approach: Its Development, Critiques and Recent Advances ," Economics Series Working Papers GPRG-WPS-032, University of Oxford, Department of Economics. Over the last decade Amartya`s Sen`s Capability Approach (CA) has emerged as the leading alternative to standard economic ...
The capability approach is primarily and mainly a framework of thought, a mode of thinking about normative issues; hence a paradigm — loosely defined — that can be used for a wide range of evaluative purposes. The approach focuses on the information that we need in order to make
Second, capability approach offers a multidimensional perspective of human well-being. Indeed, the approach assesses individual well-being in terms of what a person actually able to do or be—namely, functionings and capabilities. The capability. approach not only broadens evaluative spaces and the "informational basis.
The Capability Approach (CA) places importance on the opportunities and freedoms that individuals have to achieve the beings and doings they see as valuable. It is a normative framework focussing on human flourishing, rather than economic gain, as a measurement for individual well-being (Dreze and Sen Citation 2002; Sen Citation 1992).
Summary. Amartya Sen's capability approach has generated remarkable interest in recent years. This volume brings together a selection of papers initially presented at an international conference on the capability approach (CA) held at St Edmund's College, Cambridge in 2001. This conference marked an important turning point in research on the ...
The capability approach is a very fruitful framework for thinking about and assessing the human development of societies. Our purpose in this paper is to analyse whether the capability approach is a suitable way to illuminate education as a common good and how education must be understood as a common good.
Introduction. The capability approach is a broad normative framework that provides an alternative to welfare economic approaches to evaluating well-being, with a primary focus on individual's ability to achieve valuable functionings in life (Sen 1993).The capability approach has attracted interest from a wide variety of researchers, scholars and policymakers alike, with the Human Development ...
The capability approach clearly plays a role in Sen's work on justice, since when assessing a situation, he will investigate inequalities in people's capabilities and analyse the processes that led to those inequalities. Yet Sen has an eclectic approach to theorizing, and hence other notions and theories (such as human rights or more formal ...
The capability approach developed by Nobel Laureate Amartya Sen has become an important new paradigm in thinking about development. However, despite its theoretical and philosophical attractiveness, it has been less easy to measure or to translate into policy. ... Review of the hardback: 'These essays on Amartya Sen's capability approach to ...
THE CAPABILITY APPROACH AND EDUCATION. The Capability Approach (CA) is a broad normative framework that can be used to evaluate a variety of aspects of well-being, and guide policies that remove obstacles which prevent people from achieving a quality of life that they have reason to value (Sen 1993).
'This book is a refreshing contribution to the literature on the operationalisation of the Capability Approach. The essays and case studies in this rich collection provide a lucid variety of accounts of how to apply the human development paradigm to the real world. This international team of scholars has produced an outstanding reference work ...
To meet the security requirements to face evolving threats and changing technology, organizations must adapt and shift how they previously managed cybersecurity. While technical controls and capabilities still remain a priority and a commonly accepted method of securing the environment, adapting to a new approach for hiring cybersecurity talent can solve a leading concern of many leaders in a ...
The Army has been reexamining its approach to electronic warfare as recent studies and exercises have shown that the service needs a layered approach to EW and that the electromagnetic spectrum should be treated with the same strategic importance as physical terrain in military operations.. Over the last year, the service conducted multiple studies examining its cyber and electronic warfare ...
By Megan Kimble. May 31, 2024. When Interstate 25 was constructed through Denver, highway engineers moved a river. It was the 1950s, and nothing was going to get in the way of building a national ...
1. According to our analysis, programmatic M&A remains the least risky approach with the smallest deviation in performance and the largest share of companies that generate positive excess TRS (65 percent). In other words, two out of the three companies that practice programmatic M&A outperformed against their peers.
It's clear that generative AI tools like ChatGPT (the GPT stands for generative pretrained transformer) and image generator DALL-E (its name a mashup of the surrealist artist Salvador Dalí and the lovable Pixar robot WALL-E) have the potential to change how a range of jobs are performed. The full scope of that impact, though, is still ...
Today the Chief Digital and Artificial Intelligence Office (CDAO) announced a new approach to scaling data, analytics, and artificial intelligence (AI) capabilities called Open DAGIR, which stands ...
How Pew Research Center will report on generations moving forward. Journalists, researchers and the public often look at society through the lens of generation, using terms like Millennial or Gen Z to describe groups of similarly aged people. This approach can help readers see themselves in the data and assess where we are and where we're ...