Stanford University

CPC Lunch Seminar Series | From Polarization to Consensus: Towards a Modern Theory of Social Choice

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Ashish Goel
Abstract:

While the Internet has revolutionized many aspects of our lives, there are still no online alternatives for making democratic decisions at large scale as a society. In this talk, we will describe algorithmic and market-inspired approaches towards large scale decision making that our research group is exploring. We will start with a model of opinion dynamics that can potentially lead to polarization, and relate that to commonly used recommendation algorithms. We will then describe the algorithms behind Stanford's participatory budgeting platform, and the lessons that we learnt from deploying this platform in over 70 civic elections. We will use this to motivate the need for a modern theory of social choice that goes beyond voting on candidates. We will then describe ongoing practical work on an automated moderator bot for civic deliberation (in collaboration with Jim Fishkin's group), and ongoing theoretical work on deliberative approaches to decision making. We will conclude with a summary of open directions, focusing in particular on fair advertising. 

Ashish Goel Bio

Lunch Seminar Series Flyer
  • E207, Encina Hall
  • 616 Jane Stanford Way, Stanford, CA 94305
 

Ashish Goel

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Ashish Goel is a Professor of Management Science and Engineering and (by courtesy) Computer Science at Stanford University, and a member of Stanford's Institute for Computational and Mathematical Engineering. He received his PhD in Computer Science from Stanford in 1999, and was an Assistant Professor of Computer Science at the University of Southern California from 1999 to 2002. His research interests lie in the design, analysis, and applications of algorithms; current application areas of interest include social networks, participatory democracy, Internet commerce, and large scale data processing. Professor Goel is a recipient of an Alfred P. Sloan faculty fellowship (2004-06), a Terman faculty fellowship from Stanford, an NSF Career Award (2002-07), and a Rajeev Motwani mentorship award (2010). He was a co-author on the paper that won the best paper award at WWW 2009, and an Edelman Laureate in 2014. Professor Goel was a research fellow and technical advisor at Twitter, Inc. from July 2009 to Aug 2014.
Ashish Goel Professor of Management Science and Engineering
Seminars

Unresponsiveness to Microfinance: Evidence from Chinese Poverty Reduction Practices

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The extraordinary achievement of Chinese poverty reduction practice has been well acknowledged. Meanwhile, in similar practices throughout the world, microfinance, as the most widely adopted policy tool, has recently been documented to generate almost nil impacts, a frustrating puzzle for both the academia and policy practitioners. By employing the micro-level data of Chinese households from 2005 to 2010, we investigate the effects of poverty fund injection on incomes and expenditures. The empirical results show that the increased income observed afterwards mainly comes from the fund itself, rather than any increases in households’ business and/or labor income. Next, in order to rule out the possibility that the weak impacts on income comes from the decreased prices as a result of increased supply of agricultural markets, we study the treatment effects on the quantities of 122 agricultural products that households produce and their selling prices, and find that those quantities and prices barely change after the poverty fund injects.

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Jing Zhang, Associate Professor, graduated from Peking University (BA, MA) in 2005 and received her PhD in economics from University of Maryland in 2011. After that, she has been working in School of Finance at Renmin University of China. The focus of her research lies in health economics and public finance. Her research has been published in the leading international and Chinese academic journals, including Journal of Development Economics, Journal of Health Economics, China Economic Review, The Journal of World Economy (in Chinese) etc. She was invited to present at many prestigious universities and research institutes, such as Stanford University, the World Bank, the Asian Development Bank, Peking University. She also worked as a consultant at the World Bank (Washington, D.C.) from 2010 to 2011 and in 2015.

Jing Zhang Associate Professor, School of Finance, Renmin University of China
Seminars

No Pain, No Gain

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Lectures
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