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About NICO

NICO's mission is to incubate innovative collaborations that leverage complexity, networks, and data science to address societal challenges. The Northwestern Institute on Complex Systems (NICO) was founded in 2004 with the goals of uncovering fundamental principles that govern complex systems in science, technology, and human behavior.

NICO is a collaboration between the McCormick School of Engineering and the Kellogg School of Management.


Research

Tackling grand challenges, leading with interdisciplinary solutions

Announcements

The lastest news and events from the NICO.

Quarterly Newsflash

Quarterly Newsflash

NICO’s Quarterly Newsflash provides insights about the Northwestern ecosystem of data science, network science, and complex systems with the aim of sparking innovation and collaboration in our community.
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NICO Interdisciplinary Research Networking Luncheon Groups

NICO Interdisciplinary Research Networking Luncheon Groups

Networking luncheons have been meeting since 2017 to facilitate networking among faculty, stimulate discussion of significant and emerging research areas, and advance interdisciplinary research.
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Metropolitan Chicago Data-science Corps (MCDC)

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.

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Apply to Open Positions at NICO

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.

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News & Events

News

The Replication Crisis is 'Existential' for Science

The replication crisis threatens the scientific enterprise, leading to questions about research practices and methods, and the reliability of scientific results. Brian Uzzi discusses using artificial intelligence to tackle this problem, via IPR.

What Happens When We Give Doctors an AI Assistant?

Machine-learning systems can improve physicians’ accuracy at diagnosing dermatological diseases. New research by Matt Groh examines how suggestions from deep-learning systems affected physicians’ photo-based diagnoses.

Upcoming Events

WED@NICO SEMINAR: Alina Arseniev-Koehler, UC San Diego "Disease F...

April 17
12:00 PM - 1:00 PM

WED@NICO SEMINAR: Simbarashe Nkomo, Emory University "Exploring t...

April 24
12:00 PM - 1:00 PM

NICO Seminar: Ziv Epstein, Stanford University "Re-Inventing the ...

April 25
1:00 PM - 2:00 PM

WED@NICO SEMINAR: Chris Bail, Duke University "TBA"

May 1
12:00 PM - 1:00 PM

Connect with NICO

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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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