About NICO
The Northwestern Institute on Complex Systems was founded in 2004 with the goals of uncovering fundamental principles governing complex systems in science, technology, and human behavior and applying these principles to solve societally relevant problems through the analysis, design, and control of complex systems. Today, NICO serves as a hub and facilitator for pathbreaking research in complexity and data science transcending the boundaries of established disciplines.
NICO is a collaboration between the McCormick School of Engineering and the Kellogg School of Management.
Announcements
The lastest news and events from the NICO.
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Center for Science of Science & Innovation (CSSI)
CSSI is a NICO affiliated research center and the first academic hub of its kind to bring together the world’s foremost experts in science of science and innovation. This center is led by Dashun Wang at the Kellogg School of Management.
Metropolitan Chicago Data-science Corps (MCDC)
MCDC is an NSF funded initiative that is administered by NICO. It is a collaboration of community organizations and data science students and experts from multiple Chicago-area universities and colleges.
Apply to Open Positions at NICO
NICO is seeking exceptional candidates for Post Doctoral Fellows and research assistance in computational social science, science of science, and complex systems.
News & Events
News
What Should Leaders Make of the Latest AI?
As ChatGPT flaunts its creative capabilities, Brian Uzzi and David Ferrucci discuss the promise and pitfalls of our coexistence with machines.
Lighten Up! On Biology and Time
Through the lens of art, Lighten Up! On Biology and Time explores the connection of living organisms with the natural cycle of light and dark. Guy Amichay, a NICO Postdoctoral Fellow, collaborated on this exhibit.
Curiosities of the World
Daniel Abrams uses applied mathematics to investigate a diverse array of topics, ranging from the usefulness of scientific conferences to the origins of left-handednes, and more.
Machine learning model has the potential to scale up replication research
An analysis of more than 14,000 psychology studies explores the potential of a machine learning model to predict the likelihood of replicability. This study was led by Youyou Wu, Yang Yang (both NICO alumni), and Brian Uzzi.
Events
Spring classes end
June 3
All Day
Commencement
June 12
All Day
Fall classes begin (No Northwestern Monday in Fall)
September 19
All Day
WED@NICO SEMINAR: Fall Seminar Series starts September 27th
September 27
12:00 PM - 1:00 PM
Connect with NICO
NICO Listserv
Subscribe to the NICO Listserv and receive information about the Wednesday@NICO Speaker Series or other NICO related information.
NICO Reading Group
The NICO reading group meets regularly over lunch to discuss recent papers, fundamentals, and emerging trends in complexity research.
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