{"id":2722,"date":"2025-07-17T22:42:13","date_gmt":"2025-07-17T22:42:13","guid":{"rendered":"https:\/\/ci.acm.org\/2025\/?page_id=2722"},"modified":"2025-07-20T22:37:02","modified_gmt":"2025-07-20T22:37:02","slug":"niki-kittur","status":"publish","type":"page","link":"https:\/\/ci.acm.org\/2025\/speakers\/niki-kittur\/","title":{"rendered":"Niki Kittur"},"content":{"rendered":"\n\n\n
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Composite Intelligence<\/h3>\n\n\n\nNiki Kittur<\/strong>
Professor, Human-Computer Interaction Institute, Carnegie Mellon University\n\n\n\nAniket “Niki” Kittur is a Professor in the Human-Computer Interaction Institute at Carnegie Mellon University. His research on AI-augmented cognition looks at how we can accelerate knowledge acquisition and innovation by partnering human and machine intelligence. He has authored and co-authored over 100 papers, 17 of which have received best paper awards or honorable mentions. Dr. Kittur is a Kavli fellow, has been inducted into the CHI Academy, has received an NSF CAREER award, the Allen Newell Award for Research Excellence, major research grants from NSF, NIH, Google, Microsoft, Bosch, and Toyota, and his work has been reported in venues including Nature News, The Economist, The Wall Street Journal, NPR, TechCrunch, and the Chronicle of Higher Education. He received a BA in Psychology and Computer Science at Princeton, and a PhD in Cognitive Psychology from UCLA.\n\n\n\nLearn more<\/strong>
Website:\u00a0 https:\/\/kittur.org\/<\/mark><\/a>
New Initiative: https:\/\/supercharging-innovation.github.io\/<\/mark><\/a>

Read these
<\/strong>The future of crowd work<\/a> by Aniket Kittur, Jeffrey V Nickerson, Michael Bernstein, Elizabeth Gerber, Aaron Shaw, John Zimmerman, Matt Lease, John Horton, CSCW, 2013.
Augmenting scientific creativity with an analogical search engine<\/a> by Hyeonsu B Kang, Xin Qian, Tom Hope, Dafna Shahaf, Joel Chan, Aniket Kittur, ToCHI, 2022.
Scaling up analogical innovation with crowds and AI<\/a>, by Aniket Kittur, Lixiu Yu, Tom Hope, Joel Chan, Hila Lifshitz-Assaf, Karni Gilon, Felicia Ng, Robert E Kraut, Dafna Shahaf, PNAS, 2019.\n\n\n\n\n\n
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