Ariel Procaccia
Harvard SEAS CS · Alfred and Rebecca Lin Professor of Computer Science
Research focus: AI and democracy · computational social choice · algorithmic fairness · fair division
手动审核申请准备：以 computational social choice 或 AI 身份提交，具备严肃的理论基础，并解决具体的公民或分配问题。
Who this advisor fits / 什么情况下适合你
- You want ML tied to real data and deployable problems (signal: AI and democracy · computational social choice).
- You care about faculty-track outcomes; public alumni rows include verifiable faculty placements.
- Applicants should show rigorous algorithms/game theory/social choice plus a taste for deployed public-interest systems such as Spliddit, Panelot, or AI-supported deliberation.
- 你想把 ML 接到真实数据与落地问题（当前信号：AI and democracy · computational social choice）。
- 你在意学术教职/教职轨去向，公开校友里有可核对的教职案例。
- 申请人应展示严谨的算法、博弈论及社会选择理论，并具备对部署于公共利益的系统的兴趣，例如 Spliddit、Panelot 或支持 AI 的 deliberation。
What to watch for / 什么情况下要慎重
- You want pure theory ML with little domain data or cross-disciplinary collaboration.
- 你要的是纯理论 ML、几乎不碰领域数据或跨学科合作。
Public evidence as of 2026-06-10
These are decision-support signals compiled from public evidence (faculty pages, publications, lab sites) to help you ask better questions — not a ranking, rating, or allegation about this advisor. / 以上为基于公开信息整理的择校参考，帮助你提出更好的问题，并非排名、评分或对该导师的指控。
Ask a verified 学长学姐 / 同校 .edu 认证点评
The thing applicants say only 师兄师姐 can tell you — current & former students of this lab, verified by their school .edu. Open the full dossier to read or add a verified note.