Institute for Mechanism Design: Research Internship

Institute for Mechanism Design: Internship
 

Major Deliverables:

1. Write a cited research report for each topic covered in Applied Mechanism Design based on our Topical Representation of Mechanism Design . Post each report on our website in a space covering all topics: https://www.mechanismdesign.org/.
   1. Existing generative overviews can be found in this PDF. Applied_Mechanism_Design.pdf
   2. Each report should come with citations that cover:
      1. The relevant technology products that engage with each topic.
      2. The relevant economics literature.
      3. The relevant computer science literature.
      4. (Feel free to use https://omniscience.tech/demo and https://www.connectedpapers.com/ for research, but not for writing)
2. For each topic, identify a relevant expert (ex., Robin Hanson on Prediction Markets), and write an invitation to an Institute for Mechanism Design session based on their expertise. Customize the introduction based on our works. Institute for Mechanism Design Send these invitations with supervision.
3. Re-work the website for viewability & readability.

Qualifications:

1. Academic Background: Currently pursuing or recently graduated with a degree in economics, computer science, mathematics, engineering, or a related field.
2. Basic Research Skills: Familiarity with academic research, literature reviews, and citation management. Ability to synthesize interdisciplinary sources (economics, CS, and real-world technology products).
3. Writing & Communication: Proven ability to write clearly, concisely, and persuasively. Comfortable communicating complex ideas to both technical and non-technical audiences.
4. Technical Familiarity: Some exposure to game theory, mechanism design, or related fields is highly preferred, but not necessary.
5. Attention to Detail: Strong editing and proofreading skills, ensuring accuracy and coherence in both research reports and website content.
6. Self-Motivation: Capable of working independently on projects, managing time effectively, and meeting deadlines with minimal supervision.
7. Interest in or basic understanding of topics like prediction markets, voting mechanisms, auctions, truthful revelation mechanisms, crowdsourcing, collective intelligence, etc.