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THE FUTURE IS UP TO THE FEW WHO SEE THINGS CLEARLY

Networks permeate and influence virtually every aspect of our lives-everything from how millions of Parisians travel on the Metro to how individuals make friends. Networks lift entire economies and elect presidents. They start revolutions. Move commerce. Make scientific discoveries. Cure diseases. Secure peace. Save lives.

To understand and predict behavior, and to design new capabilities and services, we must understand people,
systems, and incentives, and how the structure and properties of networks affects interactions.

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New Course on Crowdsourcing & Human Computation

May 15, 2013

Crowdsourcing and human computation are emerging fields that sit squarely at the intersection of economics and computer science. They examine how people can be used to solve complex tasks that are currently beyond the capabiliti

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Al Roth, Father of NETS' Own Prof. Aaron Roth, Wins Nobel Prize in Economics!

December 02, 2012

As detailed in this New York Times article and this citation, Alvin Roth (father of Professor Aaron Roth) was co-winner of the 2012 Nobel Prize in Economics, for their work on market design and matching theory. Congratulations to

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Andreas Haeberlen and MKSE 212/CIS 455 in the press
MKSE Name Change
What Is Networked & Social Systems Engineering (NETS)?
Ali Jadbabaie to Lead $7.5 Million MURI Project

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ASPEN - cluster processing of heterogeneous dynamic data

Managing Heterogeneity in Highly Distributed Stream, Cloud, and Sensor Systems

Query-driven data integration

The Q Query System One of the major challenges for end users today (whether s

Differential privacy

Putting Differential Privacy to Work A wealth of data about individuals is co

Secure network provenance

Operators of distributed systems often find themselves needing to answer a diagn

Speakers Series

Feb
22

12:00 pm Towne 337

Towards a Predictive Science of Network-Based Biological Systems

Danielle S. Bassett , University of California, Santa Barbara

Feb
01

11:00 am Towne 337

On Spreading and Detecting Invections

Sanjay Shakkottai , UT-Austin