Future students

Charles Perin, Department of Computer Science
City, University of London

We live in an increasingly data-driven world, where commercial, societal, environmental, and political decisions are made based on data. However, we also live in a world where most people lack the literacy required to participate in the data-informed debates of modern society. Perhaps the main barrier to improving people’s data literacy is that data is often associated with complexity, large scale, corporatism, and dystopia.

But data is about people.

Haifeng Xu, PhD candidate
Computer Science Department, University of Southern California

Strategic interactions among self-interested agents (a.k.a., games) are ubiquitous, ranging from economic activity in daily life and the Internet to defender-adversary interactions in national security. A key variable influencing agents' strategic decision making is the information they have available about their environment as well as the preferences and actions of others. 

Please note: This seminar has been cancelled

Thomas Steinke, Postdoctoral researcher
IBM Almaden Research Center, San Jose, California

As data is being more widely collected and used, privacy and statistical validity are becoming increasingly difficult to protect. Sound solutions are needed, as ad hoc approaches have resulted in several high-profile failures.

Thursday, March 15, 2018 10:30 am - 10:30 am EDT (GMT -04:00)

Seminar • Scientific Computation — Local, Scalable and Interpretable Graph Analytics

Kimon Fountoulakis, Postdoctoral fellow and co-PI
University of California at Berkeley and International Computer Science Institute