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Please RSVP. We will close registration once the attendance list reaches 250 people. 

Abstract:

On September 24, Stanford’s Center on Democracy, Development and the Rule of Law in partnership with The Atlantic Council will present a public address by President Toomas Ilves of Estonia on the future of technology in elections. Elections are set to take center stage in the coming year, in this country and abroad. As technology plays an increasingly large role in people’s lives, the discussion—moderated by CDDRL Director Francis Fukuyama— will explore its role in elections worldwide. President Ilves of Estonia—the only country in the world to use Internet voting for national elections— will discuss how technology can promote transparency, inclusion, and stronger democracies.

This event is a partnership between Stanford’s Center on Democracy, Development and the Rule of Law and The Atlantic Council, a DC-based think-tank committed to promoting constructive leadership and engagement in international affairs.

Bio:

Toomas Hendrik Ilves was elected President of the Republic of Estonia in 2006 and re-elected in 2011. He served as Chairman of the EU Task Force on eHealth from 2011 to 2012, and since November 2012 he became Chairman of the European Cloud Partnership Steering Board. His interest in computers stems from an early age – he learned to program at the age of 13 - and he has been promoting Estonia’s IT-development since the country restored its independence. Prior to his presidency, he served as Ambassador of Estonia to the United States of America and Canada (1993 -1996). In this position, he initiated the Tiger Leap initiative to computerize and connect all Estonian schools online. He also served as Minister of Foreign Affairs (1996-1998; 1998-2002) and Member of the Estonian Parliament (2002-2004). In recent years, President Ilves has spoken and written extensively on integration, transatlantic relations, e-government, and cyber security. He graduated from Columbia University in 1976 and received his Master’s degree in Psychology from the University of Pennsylvania in 1978. 

Abstract: While social media pervades many aspects of our lives, it has not yet proved to be an effective tool for large scale decision making: crowds of hundreds, perhaps millions, of individuals collaborating together to come to consensus on difficult societal issues. The objective of our research is to develop an algorithmic and empirical understanding of large scale decision making, and experiment with real-life deployments of our algorithms. In this talk, we will first present our platform for voting in participatory budgeting elections, which has been used in over a dozen different elections. We will then describe the related algorithmic problem of knapsack voting, where voters have to allocate a fixed amount of funds among multiple projects. We will conclude by analyzing opinion formation processes in terms of their effect on polarization, and relate this to the design of recommendation systems for friends and contents.

About the Speaker: 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.