Rediet Abebe

Assistant Professor
Department of Electrical Engineering and Computer Sciences
University of California, Berkeley
Berkeley, CA 94704

Junior Fellow (on leave)
Society of Fellows
Harvard University
Cambridge, MA 02138

I am an Assistant Professor of Computer Science at the University of California, Berkeley and a Junior Fellow at the Harvard Society of Fellows. My research is broadly in the fields of algorithms and artificial intelligence, with a focus on inequality and distributive justice concerns. I am serving on the Executive Committee of and was an inaugural Program Co-Chair for the ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO '21). I also co-founded and co-organize the related MD4SG research initiative.

Teaching: CS 294-186 Algorithms & Inequality (Fall 2021)

Group: Please read this page if you are interested in joining my group.

Funding Disclosure: My work through EAAMO / MD4SG has been funded by grants from the Sloan Foundation, MacArthur Foundation, Schmidt Futures, and the Institute for New Economic Thinking. My work through Black in AI has been funded by grants from the Sloan Foundation and Ford Foundation.

Selected Upcoming / Recent Talks

Canadian Mathematical Society, Winter Meeting. Plenary Lecture
What Can Algorithms Tell us About Inequality?

Institute for Operations Research and the Management Sciences Annual Meeting (INFORMS '21). Keynote
What Can Algorithms Tell us About Inequality?

International AAAI Conference on Web and Social Media (ICWSM '21). Keynote
Technical and Humanistic Perspectives on Data Inequalities

U.S. Securities and Exchange Commission (SEC) Quant Seminar
Modeling the Impact of Shocks on Poverty

Educational Testing Services (ETS)
Measurement, Machine Learning, and Education Inequity

32nd Stony Brook International Conference on Game Theory (link). Invited Speaker
An Algorithmic Study of Saving Circles

Selected Publications

  • Kasy, Maximilian, and Rediet Abebe. "Fairness, equality, and power in algorithmic decision-making." In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2021.
    Accompanying piece: Abebe, Rediet and Maximilian Kasy. "The means of prediction."
    Boston Review (2021). (Link)

  • Abebe, Rediet, Kehinde Aruleba, Abeba Birhane, Sara Kingsley, George Obaido, Sekou L. Remy, and Swathi Sadagopan. "Narratives and counternarratives on data sharing in Africa." In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2021. (Project page)
    Preliminary version in the
    Privacy Law Scholars Conference (PLSC), 2020.

  • Abebe, Rediet, Jon Kleinberg, and S. Matthew Weinberg. "Subsidy allocations in the presence of income shocks." In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020.

  • Abebe, Rediet, Richard Cole, Vasilis Gkatzelis, and Jason D. Hartline. "A truthful cardinal mechanism for one-sided matching." In Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), 2020.

  • Abebe, Rediet, Solon Barocas, Jon Kleinberg, Karen Levy, Manish Raghavan, and David G. Robinson. "Roles for computing in social change." In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (FAT*), 2020.
    Preliminary version in the
    Privacy Law Scholars Conference (PLSC), 2019.

All Publications

  • Kasy, Maximilian, and Rediet Abebe. "Fairness, equality, and power in algorithmic decision-making." In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2021.
    Accompanying piece: Abebe, Rediet and Maximilian Kasy. "The means of prediction."
    Boston Review (2021). (Link)

  • Abebe, Rediet, Kehinde Aruleba, Abeba Birhane, Sara Kingsley, George Obaido, Sekou L. Remy, and Swathi Sadagopan. "Narratives and counternarratives on data sharing in Africa." In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2021. (Project page)
    Preliminary version in the
    Privacy Law Scholars Conference (PLSC), 2020.

  • Satinsky, Emily N., Tomoki Kimura, Mathew V. Kiang, Rediet Abebe, Scott Cunningham, Hedwig Lee, Xiaofei Lin et al. "Systematic review and meta-analysis of depression, anxiety, and suicidal ideation among Ph. D. students." Scientific Reports 11, no. 1 (2021): 1-12.

  • Abebe, Rediet, Jon Kleinberg, and S. Matthew Weinberg. "Subsidy allocations in the presence of income shocks." In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020.

  • Abebe, Rediet, Richard Cole, Vasilis Gkatzelis, and Jason D. Hartline. "A truthful cardinal mechanism for one-sided matching." In Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), 2020.

  • Abebe, Rediet, Solon Barocas, Jon Kleinberg, Karen Levy, Manish Raghavan, and David G. Robinson. "Roles for computing in social change." In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (FAT*), 2020.
    Preliminary version in the
    Privacy Law Scholars Conference (PLSC), 2019.

  • Abebe, Rediet, Salvatore Giorgi, Anna Tedijanto, Anneke Buffone, and H. Andrew Andrew Schwartz. "Quantifying community characteristics of maternal mortality using social media." In Proceedings of The Web Conference 2020 (TheWebConf), 2020.

  • Prins, Aviva, Aditya Mate, Jackson A. Killian, Rediet Abebe, and Milind Tambe. "Incorporating healthcare motivated constraints in restless bandit based resource allocation." In Challenges of Real-World Reinforcement Learning Workshop at the 34th Conference on Neural Information Processing Systems (NeurIPS), 2020.

  • Abebe, Rediet, Shawndra Hill, Jennifer Wortman Vaughan, Peter M. Small, and H. Andrew Schwartz. "Using search queries to understand health information needs in Africa." In Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), 2019.

  • Broussard, Meredith, Nicholas Diakopoulos, Andrea L. Guzman, Rediet Abebe, Michel Dupagne, and Ching-Hua Chuan. "Artificial intelligence and journalism." Journalism & Mass Communication Quarterly 96, no. 3 (2019).

  • Abebe, Rediet, and Kira Goldner. "A report on the workshop on mechanism design for social good." ACM SIGecom Exchanges 16, no. 2 (2019).

  • Abebe, Rediet. "A conjectural Brouwer inequality for higher-dimensional Laplacian spectra." arXiv preprint arXiv:1907.07541 (2019).

  • Abebe, Rediet, and Kira Goldner. "Mechanism design for social good." AI Matters 4, no. 3 (2018).

  • Benson, Austin R., Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg. "Simplicial closure and higher-order link prediction." Proceedings of the National Academy of Sciences (PNAS) 115, no. 48 (2018).

  • Abebe, Rediet, Lada Adamic, and Jon Kleinberg. "Mitigating overexposure in viral marketing." In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2018.

  • Abebe, Rediet. "Computational perspectives on social good and access to opportunity." In Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2018.

  • Abebe, Rediet, Jon Kleinberg, David Parkes, and Charalampos E. Tsourakakis. "Opinion dynamics with varying susceptibility to persuasion." In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), 2018.

  • Abebe, Rediet, Jon Kleinberg, and David Parkes. "Fair division via social comparison." In the Proceedings of the 16th Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2017.

  • Harding, Charles, Francesco Pompei, Dmitriy Burmistrov, H. Gilbert Welch, Rediet Abebe, and Richard Wilson. "Breast cancer screening, incidence, and mortality across US counties." JAMA internal medicine 175, no. 9 (2015).

  • Trifunovic, Luka, Oliver Dial, Mircea Trif, James R. Wootton, Rediet Abebe, Amir Yacoby, and Daniel Loss. "Long-distance spin-spin coupling via floating gates." Physical review X 2, no. 1 (2012).

Theses

  • Abebe, Rediet. "Designing Algorithms for Social Good." PhD dissertation (Cornell University, 2019).
    SIGKDD Dissertation Award
    Cornell University Department of Computer Science Dissertation Award
    SIGecom Dissertation Award (honorable mention)

  • Abebe, Rediet. "Equitable Simple Allocations of Heterogeneous Goods." Master's thesis (University of Cambridge, 2014).

  • Abebe, Rediet. "Plethysm of Schur functions and irreducible polynomial representations of the complex general linear group." Undergraduate thesis (Harvard University, 2013).

Positions

Thank you for your interest in my group. I will keep this page up-to-date with available positions.

Prospective Postdoctoral Fellows:
I am not actively recruiting postdoctoral fellows. However, if there is an exceptionally good research fit with my group, please feel free to send an email with your CV/resume and a short paragraph highlighting research fit.
Note, priority will be given to candidates through BIDS Data Science Fellowship Program, Chancellor's Postdoctoral Fellowship Program, FODSI, Miller Institute, President's Postdoctoral Fellowship Program, and the Simons Institute, as these programs become available.

Prospective Graduate Students: I will be accepting graduate students applying during the 2021/22 academic cycle. If you are interested in my research, you can list me as a faculty of interest in your application. I will read all such applications and will conduct interviews in January 2022. However, I will not be holding any informational meetings ahead of the interview cycle. If you have any questions about admissions, please visit this page and send your questions to the contact information there.

Research Assistant, Visiting, or Intern Positions: I currently do not have any positions available in my group.

Selected Activities

ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO). 2020 --
Executive Committee Member
Program Co-Chair of
EAAMO '21, with Irene Lo & Ana Stoica

Mechanism Design for Social Good (MD4SG). 2016 --
Initiative Co-Founder & Co-Organizer
Program Co-Chair & Steering Committee for various
MD4SG workshops & tutorials

Black in AI (BAI). 2017 --
Co-Founder & Board of Directors
Co-Lead of the
Academic Program

LA County Homelessness Prevention Unit (CPL). 2021 --
Technical Advisory Board Member

UN Food Systems Summit (UNFSS). 2020 --
Action Track 4 on Advancing Equitable Livelihoods Leadership Team
Facilitated
Public Forum 1, Public Forum 2.

AAAS Advisory Committee on AI & the Judiciary. 2021 --
Advisory Group Member

National Institute of Health (NIH), Advisory Committee to the Director Working Group on AI. 2019.
Working group report approved by the Advisory Committee to the Director.
Research Opportunity Announcement for Data Generation Projects for the Bridge to Artificial Intelligence Program, based on working group recommendations.

Links

Google Scholar (Link)
Twitter: @red_abebe