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The Data on Diversity is a topic rich with references and resources; far more than we could accommodate in the print edition of Communications of the ACM. Here is a comprehensive list of books and other reference materials on the subject.
- The Ada Project. Pioneering Women in Computing Technology. Carnegie Mellon University; http://www.women.cs.cmu.edu/ada/Resources/Women/Google Scholar
- Ambady, N., Shih, M., Kim, A., Pittinsky, T.L. Stereotype susceptibility in children: Effects of identity activation on quantitative performance. Psychological Science 12, 5 (Sept. 2001), 385--390.Google ScholarCross Ref
- Aronson, J., Lustina, M.J., Good, C., Keough, K., Steele, C.M. and Brown, J. When white men can't do math: Necessary and sufficient factors in stereotype threat. J. Experimental Social Psychology 35 (1999), 29--46.Google ScholarCross Ref
- Ashcraft, C. and Breitzman, A. Who Invents IT? An Analysis of Women's Participation in Information Technology Patenting. NCWIT Report, Dec. 2006.Google Scholar
- Banaji, M.R. and Greenwald, A.G. Blindspot: The Hidden Biases of Good People. Delacorte Press, 2013.Google Scholar
- Barres, B. Commentary: Does gender matter? Nature 442 (Aug. 2006), 133--136.Google ScholarCross Ref
- Bateson, M., Nettle, D. and Roberts, G. Cues of being watched enhance cooperation in a real-world setting. Biology Letters 2 (June 27, 2006), 412--414.Google ScholarCross Ref
- Buse, K.R. Why They Stay: Individual Career Factors Predicting Career Commitment for Women Engineers. Social Science Research Network, May 2011.Google ScholarCross Ref
- Carter, N.M. and Silva, C. Pipeline's Broken Promise. Catalyst Report, 2010.Google Scholar
- Carter, N.M. and Silva, C. Myth of the Ideal Worker. Catalyst Study, Oct. 2011.Google Scholar
- Center for Work Life Policy. Off-Ramped Women May be the Answer to Japan's Demographic Crisis Finds New Study from the Center for Work-Life Policy, November 2011.Google Scholar
- Cohen, G.L., Garcia, J., Apfel, N. and Master, A. Reducing the racial achievement gap: A social-psychological intervention. Science 313, 5791 (Sept. 2006), 13071310.Google Scholar
- Cohen, G.L., Steele, C.M. and Ross, L.D. The mentor's dilemma: Providing critical feedback across the racial divide. Personality and Social Psychology Bulletin 25 (1999), 1302--1318.Google ScholarCross Ref
- Croizet, J.C., Deprés, G., Gauzins, M.E., Huguet, P., Leyens, J.P., Méot, A. Stereotype threat undermines intellectual performance by triggering a disruptive mental load. J. Personal and Social Psychology 30, 6 (June 2004), 721--731.Google Scholar
- Desvaux, G., Devillard-Hoellinger, S. and SancierSultan, S. Women Matter: Women at the top of corporations: Making it happen. McKinsey Report, 2010.Google Scholar
- Gailliot, M.T., Peruche, B.M., Plant, E.A., and Baumeister, R.F. Stereotypes and prejudice in the blood: Sucrose drinks reduce prejudice and stereotyping. J. Experimental Psychology, Jan. 2009.Google Scholar
- Gladwell, M. Blink. Little Brown, 2005.Google Scholar
- Goff, P.A., Steele, C.M. and Davies, P.G. The space between us: Stereotype threat and distance in interracial contexts. J. Personality and Social Psychology 94, 1 (2008), 91--107.Google ScholarCross Ref
- Haffner, K. Giving women the access code. New York Times (Apr. 2, 2012); http://www.nytimes.com/2012/04/03/science/givingwomentheaccess-code.htmlGoogle Scholar
- Harrenstien, K. Finally, Caption Playback. Google Video Blog (Sept. 2006); http://googlevideo.blogspot.com/2006/09/finallycaptionplayback.htmlGoogle Scholar
- Heilman, M.E. and Chen, J.J. Same behavior, different consequences: Reactions to men's and women's altruistic citizenship behavior. J. Applied Psychology 90, 3 (2005), 431--441.Google ScholarCross Ref
- Heilman, M.E., Chen, J.J. No credit where credit Is due: Attributional rationalization of women's success in male-female teams. J. Applied Psychology 90, 5 (2005), 905--916.Google ScholarCross Ref
- Herring, C. Does diversity pay? Race, gender, and the business case for diversity. American Sociological Review, Apr. 2009.Google ScholarCross Ref
- Hewlett, S.A. Leader-Chivée, L., Sumberg, K., Fredman, C. and Ho, C. Sponsor Effect. Center for Talent Innovation, U.K., 2012.Google Scholar
- Inzlicht, M. and Ben-Zeev, T. A threatening intellectual environment: Why females are susceptible to experiencing problem-solving deficits in the presence of males. Psychological Science 11 (2000), 365--371.Google ScholarCross Ref
- Joy, L., Carter, N.M., Wagner, H.M., and Narayanan, S. The Bottom Line: Corporate Performance and Women's Representation on Boards. Catalyst Report, Oct. 2007.Google Scholar
- Judge, T.A. and Cable, D.M. When it comes to pay, do the thin win? The effect of weight on pay for men and women. Journal of Applied Psychology 96, 1 (Jan. 2011), 95--112.Google ScholarCross Ref
- Kleiman, K. Eniac Programmers Project; http://eniacprogrammers.org/Google Scholar
- Martell, R.F., Lane, D.M., Emrich, C. Male-female differences: A computer simulation. American Psychologist 51, 2 (Feb. 1996), 157--158.Google ScholarCross Ref
- McIntyre, R.B., Paulson, R.M. and Lord, C.G. Alleviating women's mathematics stereotype threat through salience of group achievements. J. Experimental Social Psychology 39 (2003), 83--90.Google ScholarCross Ref
- MIT Faculty Newsletter: A study on the status of women faculty in science at MIT, March 1999; http://web.mit.edu/fnl/women/women.htmlGoogle Scholar
- Moss-Racusin, C.A., Dovidio, J.F., Brescoll, V.L., Graham, M.J. and Handelsman, J. Science faculty's subtle gender biases favor male students. In Proceedings of the National Academy of Science (Aug 2012).Google ScholarCross Ref
- NASSCOM-Mercer. Gender Inclusivity in India: Building Empowered Organisations, 2009.Google Scholar
- Mitchell, R.L. Women computer science grads: The bump before the decline, Computerworld Blogs, (April 2013); http://blogs.computerworld.com/itcareers/21993/womencomputersciencevisualtrendlineGoogle Scholar
- Pieper, J. Leisure, the Basis of Culture. Ignatius Press, 2009.Google Scholar
- Pittinsky, T.L., Shih, M., Ambady, N. Identity adaptiveness: Affect across multiple identities. J. Social Issues 55 (1999), 503--518.Google ScholarCross Ref
- Purdie-Vaughns, V., Steele, C.M., Davies, P.G., Ditlmann, R. and Crosby, J.R. Social identity contingencies: How diversity cues signal threat or safety for African Americans in mainstream institutions. J. Personality and Social Psychology 94, 4 (2008), 615--630.Google ScholarCross Ref
- Schilt, K. and Wiswall, M. Before and after: Gender transitions, human capital, and workplace experiences. The B.E. J. Economic Analysis and Policy 8, 1 (2008), 1--28.Google ScholarCross Ref
- Spencer, S.J., Steele, C.M., Quin, D.M. Stereotype threat and women's math performance. J. Experimental Social Psychology 35 (1999), 4--28.Google ScholarCross Ref
- Steele, C.M. and Aronson, J. Stereotype threat and the intellectual test performance of African Americans. J. Personality and Psychology 69, 5 (Nov. 1995), 797--811.Google ScholarCross Ref
- Steele, C. Whistling Vivaldi. W. W. Norton, 2011.Google Scholar
- Stone, J., Lynch, C.I., Sjomeling, M., Darley, J.M. Stereotype threat effects on black and white athletic performance. J. Personality and Social Psychology 77, 6 (1999), 1213--1227.Google ScholarCross Ref
- Tannen, D. The power of talk: Who gets heard and why. Harvard Business Review, Sept. 1995.Google Scholar
- Totenberg, N. Sandra Day O'Connor's Supreme Legacy: First Female High Court Justice Reflects on 22 Years on Bench. All Things Considered (May 14, 2003); http://www.npr.org/templates/story/story.php?storyId=1261400Google Scholar
- Treisman, U. Studying students studying calculus: A look at the lives of minority mathematics students in college. The College Mathematics Journal 23 (1992), 362--372.Google ScholarCross Ref
- Vedantam, S. The Hidden Brain. Random House Publishing Group, 2010.Google Scholar
- Williams, S. Computer Scientists of the African Diaspora. SUNY Buffalo; http://www.math.buffalo.edu/mad/computer-science/cs-peeps.htmlGoogle Scholar
- Woolley, A.W. Chabris, C.F., Pentland, A., Hashmi, N. and Malone, T.W. Evidence for a collective intelligence factor in the performance of human groups. Science Magazine, 330 (Oct. 29, 2010), 686--688; DOI: 10.1126/science.1193147.Google Scholar
- Woolley, A. and Malone, T. Defend your research: What makes a team smarter? More women. Harvard Business Review Report, June 2011.Google Scholar
- Zweben, S. and Bizot, B. 2012 Taulbee Survey: Strong increases in undergraduate CS enrollment and degree production; record degree production at doctoral level. Computing Research News 25, 5 (May 2013).Google Scholar
Index Terms
- The data on diversity
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