Rediet Abebe

• Shirali, Ali, Rediet Abebe, and Moritz Hardt. "A Theory of Dynamic Benchmarks," arXiv/2210.03165, 2022. (Link)

• Abebe, Rediet, Moritz Hardt, Angela Jin, John Miller, Ludwig Schmidt, and Rebecca Wexler. "Adversarial scrutiny of evidentiary statistical software." In Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2022. (Link)

• Abebe, Rediet, Nicole Immorlica, Jon Kleinberg, Brendan Lucier, and Ali Shirali. "On the effects of triadic closure on network integration." In Proceedings of the ACM Conference on Economics and Computation (EC), 2022.

• Abebe, Rediet, Adam Eck, Christian Ikeokwu, and Samuel Taggart. "An algorithmic introduction to saving circles." In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022. (Link)

• 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, 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, 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, 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.

• 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.

• 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).

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