• Meeting Times: Wednesdays @ 3:00pm (Eastern Time)
• Meeting Place: Malone 222 (and zoom if you cannot make in-person.)
• To be considered for next week's reading, paper recommendations should be in half a week before we meet.
• While the list (and list of lists) below provides a sampling of papers, it is by no means exhaustive. Feel free to recommend papers you find interesting. In fact, if you come across papers/compilations that look interesting, please let me know and I will add them to the list.
• Feel free to e-mail me at any time (misha@cs.jhu.edu) to have a paper added to the list of candidates.

Seminar Papers

• [Culture] The Imposter Phenomenon in High Achieving Women: Dynamics and Therapeutic Intervention (1978)
• [Metrics] Standardized tests as a tool of exclusion: Improper use of the SAT in New York (1989)
• [Metrics] Exploring the Gender Gap on the GRE Subject Test in Economics (1999)
• [Metrics] Forecasting Job Placements of Economics Graduate Students (2000)
• [Culture] Race, sex, and nerds: from Black geeks to Asian American hipsters (2002)
• [Culture] Cumulative Advantage as a Mechanism for Inequality: A Review of Theoretical and Empirical Developments (2005)
• [Diversity] In a More Balanced Computer Science Environment, Similarity is the Difference and Computer Science is the Winner (2005)
• [Metrics] Feeling Creative, Being Creative: An Empirical Study of Diversity and Creativity in Teams (2005)
• [Gender] Circumventing Discrimination: Gender and Ethnic Strategies in Silicon Valley
• [Diversity] Enhancing Diversity in Science: Is Teaching Science Process Skills the Answer?
• [Gender] Women in Computing: The Role of Geek Culture (2007)
• [Metrics] What Does Performance in Graduate School Predict? Graduate Economics Education and Student Outcomes (2007)
• [Metrics] Testing and Social Stratification in American Education (2008)
• [Metrics] Stubborn Reliance on Intuition and Subjectivity in Employee Selection (2008)
• [Gender/Culture] Ambient belonging: How stereotypical cues impact gender participation in computer science (2009)
• [Metrics] Fact and Fiction in Cognitive Ability Testing for Admissions and Hiring Decisions (2010)
• [Gender/Culture] Evidence of a Collective Intelligence Factor in the Performance of Human Groups (2010)
• [Education] Expanding the Frontiers of Computer Science: Designing a Curriculum to Reflect a Diverse Field (2010)
• [Gender/Culture] Classrooms matter: The design of virtual classrooms influences gender disparities in computer science classes (2011)
• [Gender/Culture] Do female and male role models who embody STEM stereotypes hinder women’s anticipated success in STEM? (2011)
• [Metric/Culture] What can we learn from quantitative teaching assistant evaluations? (2012)
• [Culture] A case study of environmental factors influencing teaching assistant job satisfaction (2012)
• [Metrics] Race, Poverty and SAT Scores: Modeling the Influences of Family Income on Black and White High School Students' SAT Performance (2013)
• [Mentorship] Enduring influence of stereotypical computer science role models on women’s academic aspirations (2013)
• [Culture] The stereotypical computer scientist: Gendered media representations as a barrier to inclusion for women (2013)
• [Gender/Culture] Breaking it Down: Engineering Student STEM Confidence at the Intersection of Race/Ethnicity and Gender (2014)
• [Culture] How Diversity Makes Us Smarter (2014)
• [Gender] Gender Gaps in Achievement and Participation in Multiple Introductory Biology Classrooms
• [Culture] Learning Race in a U.S. Context: An Emergent Framework on the Perceptions of Race Among Foreign-Born Students of Color (2014)
• [Metrics] A Test That Fails (2014)
• [Gender] The Effects of Gender on Group Work Process and Achievement: An Analysis Through Self- and Peer-Assessment (2014)
• [Gender/Diversity] Navigating Underrepresented STEM Spaces: Experiences of Black Women in U.S. Computing Science Higher Education Programs Who Actualize Success (2014)
• [Culture] How diversity can drive innovation (2013)
• [Culture] Cultural stereotypes as gatekeepers: increasing girls' interest in computer science and engineering by diversifying stereotypes (2015)
• [Metrics] GRE Guide to Use of Scores (2015)
• [Gender] Women have substantial advantage in STEM faculty hiring, except when competing against more-accomplished men (2015)
• [Disability] Increasing Neurodiversity in Disability and Social Justice Advocacy Groups (2016)
• [Counterspaces] Counterspaces for Women of Color in STEM Higher Education: Marginal and Central Spaces for Persistence and Success (2016)
• [Asian/Culture] The Burden of Being "Model": Racialized Experiences of Asian STEM College Students (2016)
• [Metrics] The GRE is no diversity tool (2016)
• [Metrics] The problem with the GRE (2016)
• [Gender] Anatomy of an Enduring Gender Gap: The Evolution of Women’s Participation in Computer Science (2016)
• [Gender] Women are underrepresented in computational biology: An analysis of the scholarly literature in biology, computer science and computational biology (2016)
• [Diversity] Diversifying undergraduate computer science: The role of department chairs in promoting gender and racial diversity (2017)
• [Metrics] The Limitations of the GRE in Predicting Success in Biomedical Graduate School (2017)
• [Diversity] Twelve Tips for Creating a Culture that Supports All Students in Computing (2017)
• [Metrics] Investigating approaches to diversity in a national survey of physics doctoral degree programs: The graduate admissions landscape (2017)
• [Metrics] Renewed debate about GRE (2017)
• [Metrics] The Limitations of the GRE in Predicting Success in Biomedical Graduate School (2017)
• [Education] Sense of belonging in computing: The role of introductory courses for women and underrepresented minority students (2018)
• [Admissions] Diversifying Cornell CS Ph.D. Admissions (2018)
• [Metrics] DEFINING ACCESS: How Test-Optional Works (2018)
• [Metrics] Multi-institutional study of GRE scores as predictors of STEM PhD degree completion: GRE gets a low mark (2018)
• [Culture] Predicting human behavior toward members of different social groups (2018)
• [Diversity/Education] Bridge to Success and Inclusivity (2019)
• [Diversity] The racial politics of STEM education in the USA: interrogations and explorations (2019)
• [Asian/Culture] Asian American women in STEM in the lab with "White Men Named John" (2019)
• [Admission] Graduate Admissions Practices: A Targeted Review of the Literature (2019)
• [Metrics] Do I Have to Take the GRE? Standardized Testing in MPA Admissions (2019)
• [Metrics] A Model for Holistic Review in Graduate Admissions That Decouples the GRE from Race, Ethnicity, and Gender (2019)
• [Metrics] Differential Performance in High Versus Low Stakes Tests: Evidence from the GRE Test (2019)
• [Islam/Culture] Islamophobia in U.S. Education (2019)
• [Metrics] Typical physics Ph.D. admissions criteria limit access to underrepresented groups but fail to predict doctoral completion (2019)
• [Metrics] A Civil Rights Challenge to Standardized Testing in College Admissions (2019)
• [Metrics] Standardized testing fails to reflect holistic achievement of college applicants (2019)
• [Metrics] A Model for Holistic Review in Graduate Admissions That Decouples the GRE from Race, Ethnicity, and Gender (2019)
• [Culture/Diversity] Underrepresented Faculty Play a Disproportionate Role in Advancing Diversity and Inclusion (2019)
• [Gender] How Computer Science at CMU is Attracting and Retaining Women (2019)
• [Diversity] From Diversity to Inclusion to Equity: A Theory of Generative Interactions
• [Metrics] Questioning the Value of the Graduate Record Examinations (GRE) in PhD Admissions in Biomedical Engineering (2020)
• [Metrics] #GeoGRExit: Why Geosciences Programs Are Dropping the GRE (2020)
• [Metrics] Racial discrimination in the standardized testing system (2020)
• [Culture] Identifying the Prevalence of the Impostor Phenomenon Among Computer Science Students
• [Culture] The diversity-innovation paradox in science (2020)
• [Gender] The confidence gap predicts the gender pay gap among STEM graduates (2020)
• [Diversity] Institutionalizing ethics in AI through broader impact requirements (2021)
• [Gender/Diversity] Actions Needed by Higher Education Institutions, Technology Companies, Federal Agencies to Increase Representation of Women of Color in Tech (2021)
• [Metrics] The History of Educational Measurement, Ch. 2: Development and Evolution of the SAT and ACT (2021)
• [Metrics] The History of Educational Measurement, Ch. 9: The Evolution of the Concept of Validity (2021)
• [Diversity/Education] How to Promote Diversity and Inclusion in Educational Settings: Behavior Change, Climate Surveys, and Effective Pro-Diversity Initiatives (2021)
• [Culture] An Analysis of Stress and Sense of Belonging Among Native and Non-native English Speakers Learning Computer Science (2022)
• [Culture] Additional Evidence for the Prevalence of the Impostor Phenomenon in Computing (2022)
• [Black/Hispanic/Gender] What is a Computer Scientist?: Unpacking the Ontological Beliefs of Black and Hispanic Female Computing Students (2022)
• [Culture] Who Belongs in Computer Science? (2022)
• [Metrics] A Study of the Effects of Oral Proficiency Exams in Introductory Programming Courses on Underrepresented Groups (2022)
• [Culture] Creating Inclusive Department Climates in STEM Fields: Multiple Faculty Perspectives on the Same Departments (2022)
• [Diversity/Culture] How Well-Intentioned White Male Physicists Maintain Ignorance of Inequity and Justify Inaction (2022)
• [Religion] The Future of Workplace Religious Diversity and Inclusion: Opportunities, Challenges, and Recommendations (2022)
• [Gender] Women -— Particularly Underrepresented Minority Women —- and Early-Career Academics Feel Like Impostors in Fields that Value Brilliance (2022)
• [Culture] Why Everyone Feels Like They’re Faking It (2023)
• [Culture] India's Scientific Diversity: Caste Barriers (2023)
• [Race] What is "Race" in Algorithmic Discrimination on the Basis of Race? (2023)
• [Race] Latinx College Students’ Strategies for Resisting Imposter Syndrome at Predominantly White Institutions (2023)
• [Diversity] Why AI's Diversity Crisis Matters, and How to Tackle it (2023)
• [Diversity] How do ethics and diversity, equity, and inclusion relate in engineering? A systematic review (2023)
• [Gender] Advancing Diversity and Inclusion for Women in Engineering (2023)
• [Diversity] A Framework of Diversity, Equity, and Inclusion Safeguards for Chatbots (2024)

Books

• Invisible Women: Data Bias in a World Designed for Men

Other Resources/Lists

• Papers from CMU's Women@SCS
• David Largent's reading list
• Manuel A. Perez-Quinones's reading list
• Restorying Computing (UW)