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Kellogg Architectures of Collaboration Initiative (KACI)

What Is Computational Social Science?


Professor Brian Uzzi joins industry and academic experts to explore questions critical to the future of applying computational and data science techniques to social science research.
 

Upcoming Events

October 28 - October 30, 2019
James L. Allen Center

Architectures of Collaboration (KACI)

Connecting People and Intelligence to Accelerate Growth

Explore the Initiative's focus areas: Mind + Machine | Social Networks & Crowds | Leadership & Teams

Having pioneered negotiations and teamwork in management, we build upon these critical and dynamic fields to reinvent executive collaboration through networks, crowds and human-machine partnerships. KACI lives at the emerging intersection of human behavior, digital networks, and data science.

Affiliated Research: Northwestern Institute on Complex Systems


MIND + MACHINE

AI, Social Sciences Gap Widens.

Study by Professor Dashun Wang shows that the gap between the disciplines of AI and the Social Sciences is growing, which could make it harder to address social and ethical problems.
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MIND + MACHINE

How Will Automation Affect Different U.S. Cities?

According to research from Professor Hyehin Youn, jobs in small cities will likely be hit hardest. Check how your community and profession will fare.
EXPLORE INTERACTIVE TOOL

MIND + MACHINE

Why Poor Data Undermines Our Attempt to Understand the Future of Work

Forbes article cites research from Professors Dashun Wang and Hyejin Youn on the impact of artificial intelligence and work.
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MIND + MACHINE

How Olay’s AI-Powered Consultation Disrupts the Cosmetic Industry

Article by Professor Brian Uzzi discusses how Olay is disrupting the cosmetics model with a unique marketing approach that brings the power of AI to skin consultation.
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MIND + MACHINE

How Artificial Intelligence Changes Us

Insights from Professors Robert Wolcott and Moran Cerf on the evolution of artificial intelligence and its impact on humans and society.
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LEADERSHIP

For Teams, What Matters More: Raw Talent or History of Success Together?

Studies by Professors Contractor and Uzzi suggests that for professional sports teams, one factor is more important, but the best teams combine them both.
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MIND + MACHINE

Kellogg Team Awarded EFMD Case Writing Competition

Prof Adam Pah and team won for their piece, Evaluating the Cognitive Analytics Frontier, incorporating lessons on machine learning and natural language processing.
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SOCIAL NETWORKS

P&Q’s 2019 Best 40 Under 40 MBA Professors

P&Q reports Professor Dashun Wang is among this year’s P&Q Best 40 under 40 MBA Professors.
VIEW Q&A HERE

LEADERSHIP

Women are Winning More Scientific Prizes, but Men Still Win the Most Prestigious

Article by Professor Uzzi discusses his research, which found that while women are indeed winning more prizes, they still lag significantly on prize quality.
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MIND + MACHINE

Need to Vent? Try Talking to a Robot.

Prof Eli Finkel describes his research suggesting that social robots can boost our self esteem and offer a shoulder on which to cry.
VIEW Q&A HERE

SOCIAL NETWORKS

Podcast: How Amazon’s Alexa Learns

Professor Jennifer Cutler joins Amazon’s Ashwin Ram to discuss the balance between privacy and design when applying natural language processing to social media.
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MIND + MACHINE

Podcast: Will Machines Ever Truly Understand Us?

Professors Brian Uzzi, Sandra Waxman and Adjunct Professor Dave Ferrucci contemplate the deepening relationship between human and computers and what the future holds.
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Architectures of Collaboration News

How New Versions of Products Spread Differently Than Entirely New Products
Dashun Wang, Harvard Business Review, July 17, 2019
When Mind Meets Machine: How AI Can Boost Your Creativity
Brian Uzzi, Forbes, June 26, 2019
Performance improves when the enemy of an enemy is a friend
Brian Uzzi, Northwestern Now, June 14, 2019
An autonomous vehicle took on Chicago’s thick morning traffic. Here’s what happened.
Brian Uzzi, Chicago Tribune, June 13, 2019
The Obstacles that speed and slow our path
Dashun Wang, Benjamin F. Jones, Financial Times , May 30, 2019

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