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Related papers: Is diversity good?

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The topic of diversity is an interesting subject, both as a purely mathematical concept and also for its applications to important real-life situations. Unfortunately, although the meaning of diversity seems intuitively clear, no precise…

Combinatorics · Mathematics 2014-06-13 Chris Dowden

Many people hold this truth to be self-evident, that there should be more female students in science and engineering. Typical arguments include possible benefits to women, possible benefits to the economy, and the unfairness of the current…

Physics and Society · Physics 2008-08-25 Mathieu Bouville

I study the relationship between diversity preferences and the choice rules implemented by institutions, with a particular focus on the affirmative action policies. I characterize the choice rules that can be rationalized by diversity…

Theoretical Economics · Economics 2023-10-24 Oguzhan Celebi

The study of fairness in intelligent decision systems has mostly ignored long-term influence on the underlying population. Yet fairness considerations (e.g. affirmative action) have often the implicit goal of achieving balance among groups…

Machine Learning · Computer Science 2020-03-02 Hussein Mozannar , Mesrob I. Ohannessian , Nathan Srebro

This paper addresses the problem of quantifying diversity for a set of objects. First, we conduct a systematic review of existing diversity measures and explore their undesirable behavior in certain cases. Based on this review, we formulate…

Machine Learning · Computer Science 2025-06-17 Mikhail Mironov , Liudmila Prokhorenkova

Increasingly, the physics community is attending to issues of equity, diversity, and inclusion, both in language and action. We are more publicly recognizing our individual responsibilities as physicists to address social injustice and…

Physics Education · Physics 2022-03-14 Martha-Elizabeth Baylor , Jessica R Hoehn , Noah Finkelstein

Gender diversity in the tech sector is - not yet? - sufficient to create a balanced ratio of men and women. For many women, access to computer science is hampered by socialization-related, social, cultural and structural obstacles. The…

Computers and Society · Computer Science 2021-07-06 Aurélie Breidenbach , Caroline Mahlow , Andreas Schreiber

Diversity indices are useful single-number metrics for characterizing a complex distribution of a set of attributes across a population of interest. The utility of these different metrics or sets of metrics depend on the context and…

Populations and Evolution · Quantitative Biology 2020-03-06 Song Xu , Lucas Böttcher , Tom Chou

We consider the problem of designing affirmative action policies for selecting the top-k candidates from a pool of applicants. We assume that for each candidate we have socio-demographic attributes and a series of variables that serve as…

Computers and Society · Computer Science 2021-03-10 Michael Mathioudakis , Carlos Castillo , Giorgio Barnabo , Sergio Celis

As the diversity of people in higher education grows, Universities are struggling to provide inclusive environments that nurture the spirit of free inquiry in the presence of these differences. At the extreme, the value of diversity is…

Physics and Society · Physics 2019-12-16 Kathryn V Johnston

Positivity, the assumption that every unique combination of confounding variables that occurs in a population has a non-zero probability of an action, can be further delineated as deterministic positivity and stochastic positivity. Here, we…

Methodology · Statistics 2022-07-12 Paul N Zivich , Stephen R Cole , Daniel Westreich

Despite nation efforts to promote diversity and inclusion, women and gender minorities remain underrepresented in physics. One common approach to studying gender in physics contexts treats gender as a categorical identity variable (e.g.…

Physics Education · Physics 2026-03-19 Noah Leibnitz , Yangqiuting Li

An individually costly act that benefits all group members is a public good. Natural selection favors individual contribution to public goods only when some benefit to the individual offsets the cost of contribution. Problems of sex ratio,…

Populations and Evolution · Quantitative Biology 2011-12-16 Steven A. Frank

Critical decisions in hiring, college admissions, and credit lending are guided by predictions made in the presence of uncertainty. While uncertainty imparts errors across all demographic groups, this paper shows that the types of errors…

Machine Learning · Statistics 2024-10-22 Claire Lazar Reich

Diversification represents the idea of choosing variety over uniformity. Within the theory of choice, desirability of diversification is axiomatized as preference for a convex combination of choices that are equivalently ranked. This…

Economics · Quantitative Finance 2016-10-07 Enrico G. De Giorgi , Ola Mahmoud

This note highlights the importance of investigating diversity aspects in combination in empirical research. It draws on the psychological discourse and suggests why and how software engineering scholars can use the aspect of diversity in…

Software Engineering · Computer Science 2019-04-23 Lucas Gren

When selecting applicants for scholarships, universities, or jobs, practitioners often aim for a diverse cohort of qualified recipients. However, differing articulations, constructs, and notions of diversity prevents decision-makers from…

Human-Computer Interaction · Computer Science 2024-10-10 Neil Natarajan , Sruthi Viswanathan , Reuben Binns , Nigel Shadbolt

The persistent underrepresentation of women and other gender minorities in physical science fields has been an ongoing concern. This study investigates gender dynamics in introductory physics laboratory courses, focusing on whether students…

Physics Education · Physics 2025-06-10 Bilas Paul , Shantanu Chakraborty , Ganga Sharma

An established body of literature shows that a student's affect can be linked to her epistemological stance [1]. In this literature, the epistemology is generally taken as a belief or stance toward a discipline, and the affective stance…

Physics Education · Physics 2016-11-18 Ayush Gupta , Brian A. Danielak , Andrew Elby

The ethical concept of fairness has recently been applied in machine learning (ML) settings to describe a wide range of constraints and objectives. When considering the relevance of ethical concepts to subset selection problems, the…

Artificial Intelligence · Computer Science 2020-02-11 Margaret Mitchell , Dylan Baker , Nyalleng Moorosi , Emily Denton , Ben Hutchinson , Alex Hanna , Timnit Gebru , Jamie Morgenstern
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