My research has been generously supported by fellowships and scholarships from Facebook, Google, the Cornell Graduate School, and the Harvard-Cambridge Fellowship. You can also find a link to my dissertation and theses below.

  • Subsidy Allocations in the Presence of Income Shocks
    Rediet Abebe, Jon Kleinberg, and S. Matthew Weinberg
    Proc. of the 34th AAAI Conference on Artificial Intelligence (AAAI '20). [PDF]

  • Roles for Computing in Social Change
    Rediet Abebe, Solon Barocas, Jon Kleinberg, Karen Levy, Manish Raghavan, and David Robinson
    Proc. of the Conference on Fairness, Accountability, and Transparency (FAT* '20).
    Preliminary version in the 2019 Annual Privacy Law Scholars Conference (PLSC '19). [PDF]

  • A Truthful Cardinal Mechanism for One-Sided Matching
    Rediet Abebe, Richard Cole, Vasilis Gkatzelis, and Jason D. Hartline
    Proc. of ACM-SIAM Symposium on Discrete Algorithms (SODA '20). [PDF]

  • Quantifying Community Characteristics of Maternal Mortality
    Rediet Abebe*, Salvatore Giorgi*, Anna Tedijanto, Anneke Buffone, and H. Andrew Schwartz
    Forthcoming in the Proc. of the World Wide Web Conference (TheWebConf '20).
    (* equal contribution)

  • Using Search Queries to Understand Health Information Needs in Africa
    Rediet Abebe, Shawndra Hill, Jennifer Wortman Vaughan, Peter M. Small, and H. Andrew Schwartz
    Proc. of the International AAAI Conference on Web and Social Media (ICWSM '19). [PDF]
    Preliminary version in the Workshop on ML for the Developing World (NeurIPS '17).
    Also appears in NBER Conference on Machine Learning in Health Care (NBER).
    Media Coverage: Forbes, MIT Tech Review, VentureBeat, Search News, Cornell Research Feature, and Cornell Chronicle
    Course: UC Berkeley Big Data and Development

  • Data Sharing in and for Africa
    Rediet Abebe, Kehinde Aruleba, Sara Kingsley, George Obaido, Sekou Remy, and Swathi Sadagopan
    Privacy Law Scholars Conference (PLSC '20).
    Working version in Contested Data Academic Workshop at Data and Society, 2020.
    Preliminary version in 3rd Workshop on Machine Learning for Development at (NeurIPS '19).

  • Triadic Closure Alleviates Network Segregation
    Rediet Abebe, Nicole Immorlica, Jon Kleinberg, and Brendan Lucier
    Preliminary version in Joint Workshop on AI for Social Good (NeurIPS '19).

  • Artificial Intelligence and Journalism
    Meredith Broussard, Nicholas Diakopoulos, Andrea L. Guzman, Rediet Abebe, Michel Dupagne, and Ching-Hua Chuan
    Journalism & Mass Communication Quarterly (JMCQ). July 2019. [PDF]

  • Mechanism Design for Social Good
    Rediet Abebe and Kira Goldner
    ACM SIGAI AI Matters. 4.3, October 2018. [PDF]
    Media Coverage: Communications of the ACM and MIT Tech Review.

  • Simplicial Closure and Higher-order Link Prediction
    Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg
    Proceedings of the National Academy of Sciences (PNAS). November 2018. [PDF]
    Media Coverage: Futurity, Cornell Chronicle

  • Opinion Dynamics with Varying Susceptibility to Persuasion
    Rediet Abebe, Jon Kleinberg, David Parkes, and Charalampos E. Tsourakakis
    Proc. of the 24th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining (KDD '18). [PDF]

  • A Report on the Workshop on Mechanism Design for Social Good
    Rediet Abebe and Kira Goldner
    ACM SIGecom Exchanges. 16.2, June 2018. [PDF]

  • Mitigating Overexposure in Viral Marketing
    Rediet Abebe, Lada Adamic, and Jon Kleinberg
    Proc. of the 32nd AAAI Conference on Artificial Intelligence (AAAI '18). [PDF]

  • Computational Perspectives on Social Good and Access to Opportunity
    Rediet Abebe
    Proc. of the 2018 AAAI/ACM Conference on AI, Ethics, and Society (AIES '18). [PDF]

  • Fair Division via Social Comparison
    Rediet Abebe, Jon Kleinberg, and David Parkes
    Proc. of the 16th Intl. Conference on Autonomous Agents and Multiagent Systems (AAMAS '17). [PDF]
    Reading Courses: University of Toronto, Social and Economic Networks Reading Group, University of Waterloo, AI Multiagent Systems Group, IJCAI '19 Tutorial

  • A Conjectural Brouwer Inequality for Higher-Dimensional Laplacian Spectra
    Rediet Abebe
    Preliminary version in Electric Flows, Graph Laplacians, and Algorithms Workshop (ICERM '14).
    Preprint. [PDF]

  • Breast Cancer Screening, Incidence, and Mortality Across US Counties
    Charles Harding, Francesco Pompei, Dmitriy Burminstrov, H. Gilbert Welch, Rediet Abebe, and Richard Wilson
    JAMA Internal Medicine, Sept. 2015. [PDF]
    Media Coverage: The Huffington Post, Vox, FiveThirtyEight, Forbes, U.S. News, The Washington Post, The New Yorker, NPR, L.A. Times, MinnPost, Medical News Today, Tech Times, Baltimore Sun, ... , and even the Onion! It was also ranked 79 on the Altmetric Top 100 Academic Articles of 2015. This rank measures research articles across numerous fields that have gotten the most attention in media forums and social networks.
  • Long-Distance Spin-Spin Coupling via Floating Gates
    Luka Trifunovic, Oliver Dial, Mircea Trif, James R Wootton, Rediet Abebe, Amir Yacoby, and Daniel Loss
    Physical Review X, Jan. 2012. [PDF]

    Dissertation and Theses

  • Designing Algorithms for Social Good
    Rediet Abebe
    Cornell University, 2019. (Doctoral Dissertation)

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

  • Plethysm of Schur Functions and Irreducible Polynomial Representations of the Complex General Linear Group
    Rediet Abebe
    Harvard University, 2013. (Bachelor's Thesis)