James Siderius

James Siderius is an Assistant Professor of Business Administration at the Tuck School of Business, Dartmouth College, specializing in the Operations and Management Science research group. His work focuses on the strategic impact of artificial intelligence on business operations, particularly in multi-agent environments involving social media, online platforms, and matching markets.

His educational background includes:

• PhD from Massachusetts Institute of Technology (2022)
• SM from Massachusetts Institute of Technology (2018)
• AB from Princeton University (2016)

Siderius's research centers on how AI transforms business operations through game-theoretic analysis of information dynamics. He investigates strategic disinformation (bots), information overload, and platform algorithm effects on user behavior across social media, review platforms, and two-sided markets. His work consistently addresses societal implications of technological design choices, emphasizing real-world business applications of theoretical models.

His publication record (2021-2023) demonstrates concentrated expertise in platform economics and AI-driven societal challenges. Key patterns include rigorous game-theoretic modeling of misinformation spread, strategic review manipulation, and attention competition in digital ecosystems. His research bridges technical AI mechanisms with market-level outcomes, frequently appearing in premier journals like Management Science and The Review of Economic Studies.

Scientific Awards:

• No scientific awards were mentioned.

While specific advising relationships and grant funding aren't detailed in available materials, Siderius actively collaborates with leading researchers including Asuman Ozdaglar (MIT) and Mohamed Mostagir on platform economics projects.

As a core member of Tuck's Operations and Management Science research group, Siderius contributes to interdisciplinary initiatives examining AI's business and societal impacts. His current work explores algorithmic welfare effects, echo chamber dynamics, and matching market design in digital environments through ongoing collaborations with computer scientists and economists.