Will Secure Multiparty Computation Reshape Data Privacy?


In an era of heightened concerns over data privacy, what more can be done to protect sensitive, confidential data?

One answer may be the emerging cryptographic technology known as secure multiparty computation, which allows parties to combine datasets and compute values of interest without exposing the underlying data. While this has been a theoretical concept for several decades, in recent years the approach has been increasingly used in real-world settings. Join New America’s Open Technology Institute and the Bipartisan Policy Center for an informative discussion on the potential applications and benefits of secure multiparty computation. 

Follow the conversation online using #SecureMPC and following @OTI

Opening Comments: 

Senator Ron Wyden (D-OR)@RonWyden 

Nick Hart@NickRHart 
Director, Evidence-Based Policymaking Initiative, Bipartisan Policy Center 


Amy O’Hara@amy__ohara 
Senior Research Scholar, Stanford Institute for Economic Policy Research

Ben Kreuter 
Software Engineer, Google 

George Alter 
Research Professor, Institute for Social Research, University of Michigan 


Chris Sadler
Fellow, New America’s Open Technology Institute

"Fireside Chat" With:

Robert Groves@RobertMGroves
Provost, Georgetown University

Tabassum Zakaria@tobyzakaria
Senior Advisor, Bipartisan Policy Center