Andrew Benjamin Hall is an American political economist, academic, and author. He is the Davies Family Professor of Political Economy at the Stanford Graduate School of Business (GSB), a Professor of Political Science at Stanford University, and a Senior Fellow at both the Hoover Institution and the Stanford Institute for Economic Policy Research (SIEPR) [1] [2]. His work focuses on the design and function of governance systems, applying data-driven analysis to American politics, online communities, and Web3 technologies. Hall is also affiliated with the venture capital firm Andreessen Horowitz (a16z crypto) and serves as an advisor to Meta Platforms [3] [4].
Hall earned a Doctor of Philosophy (Ph.D.) in Political Science and a Master of Arts (M.A.) in Statistics from Harvard University in 2015. He completed his undergraduate studies at Stanford University, where he received a Bachelor of Arts (B.A.) in Economics and Classics in 2009 [2] [3].
Hall has spent his academic career at Stanford University. He joined the faculty as an Assistant Professor of Political Science in 2013 and was promoted to Associate Professor in 2018. In 2022, he became a tenured Professor of Political Science [4].
At Stanford, Hall holds several concurrent appointments. He is the Davies Family Professor of Political Economy at the Graduate School of Business and holds a courtesy appointment as a Professor of Economics. He is also a Senior Fellow at the Hoover Institution, a public policy think tank based at the university, and a Senior Fellow at the Stanford Institute for Economic Policy Research (SIEPR). Additionally, Hall serves as the co-director of the Democracy & Polarization Lab [1].
Hall bridges his academic work with roles in the technology industry. He is affiliated with a16z crypto, the digital asset fund of Andreessen Horowitz. He is listed by the firm as a Research Advisor, focusing on decentralized governance and the political economy of Web3 systems [3]. According to his professional profile, he has served as a General Partner at the firm since January 2022 [4]. In his capacity at the firm, he applies principles from political science to analyze investment opportunities and research key questions in the crypto ecosystem, particularly concerning decentralized autonomous organizations (DAOs) and large-scale social organization.
Hall also serves as an advisor to Meta Platforms, Inc. He advises the Wearables Business Group, where he uses data and research to inform AI and augmented reality (AR) strategy. Previously, he was an advisor to the company's Governance Team in Global Affairs [2].
Hall’s research centers on the design of effective democratic and collective decision-making systems. His methodology is heavily quantitative, employing large-scale datasets, econometrics, statistics, and machine learning tools to analyze how the structure of governance systems influences outcomes [1]. His work spans traditional political institutions and emerging digital platforms.
A significant portion of Hall's academic work investigates American politics, including elections and legislatures. His research explores how institutional rules and incentives shape political behavior and outcomes. He has studied the causes and consequences of political polarization, arguing in his book Who Wants to Run? that the declining appeal of holding public office deters moderate candidates and empowers ideological extremists [4]. Other research has examined the incumbency advantage in U.S. elections, finding that a "scare-off" effect, which deters high-quality challengers, is a primary driver. His work has also analyzed the effects of campaign spending, voter behavior, and the performance of election-denying candidates in elections [2].
Hall applies his expertise in political economy to the governance of online communities and decentralized technologies. He studies how blockchain-based systems, such as DAOs, use digital voting and cryptoeconomic incentives to manage high-stakes collective decisions. His research in this area includes large-scale experiments on online governance systems, including the use of liquid democracy, where users can delegate their voting power to representatives. This work aims to inform the design of more effective, legitimate, and scalable governance models for Web3 platforms and other digital organizations [3].
Hall's research extends to the governance challenges posed by artificial intelligence. His work in this field includes developing methods for measuring and mitigating perceived political slant and bias in large language models (LLMs). This research utilizes user evaluations to create quantitative measures of model behavior, contributing to efforts to make AI systems more aligned and less biased [2].
Hall is the author of multiple books, numerous articles in peer-reviewed academic journals, and public-facing essays on technology and governance. He also authors a weekly newsletter titled "Free Systems: Experiments to Preserve Liberty in an Algorithmic World" [2].
A selection of Hall's published papers is available on his personal website [2].
A collection of his public-facing articles is listed on his personal website [2].