Carmel Baharav
Carmel Baharav
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Brief Bio
Brief Bio
I am a first-year PhD student at MIT, where I'm grateful to be advised by Bailey Flanigan. I'm excited about using tools from computational social choice to strengthen existing democratic processes and develop new ones. My recent work is on making the selection of citizens' assemblies fairer and more robust, and aggregating votes over complex domains (e.g. linear functions or combinatorial settings).
I received a master's degree in computer science from ETH Zürich, where I was co-advised by Bernd Gärtner and Ariel Procaccia for my thesis at Harvard. Previously, I completed my bachelor's degree in computer science at Carnegie Mellon University, where I worked with Nihar Shah on methods for aggregating crowdsourced evaluations and incentives in peer review.
Research
Research
The Complexity of Justified Representation with Additive Utilities
Carmel Baharav, Jakob de Raaij, Agnes Totschnig
Under SubmissionThe End Justifies the Mean: A Linear Ranking Rule for Proportional Sequential Decisions
Carmel Baharav, Niclas Boehmer, Bailey Flanigan, and Maximilian T. Wittmann
Under Submission
New Directions in Social Choice Workshop @ EC 2026Alternates, Assemble! Selecting Optimal Alternates for Citizens' Assemblies
Angelos Assos, Carmel Baharav, Bailey Flanigan, and Ariel Procaccia
EC 2025Condorcet Winners and Anscombe’s Paradox Under Weighted Binary Voting
Carmel Baharav, Andrei Constantinescu, and Roger Wattenhofer
AAMAS 2025Fair, Manipulation-Robust, and Transparent Sortition
Carmel Baharav and Bailey Flanigan
EC 2024Allocation Schemes in Analytic Evaluation: Applicant-Centric Holistic or Attribute-Centric Segmented?
Jingyan Wang, Carmel Baharav, Nihar B. Shah, Anita Williams Woolley, and R Ravi*
HCOMP 2022
*authors listed in order of contributionA Game Theoretic Approach to Peer Review Bidding (poster, writeup for 15-888)
a Summer Undergraduate Research Fellowship (SURF 2021) project supervised by Nihar Shah
Contact Information. "c"+"last name"@mit.edu
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