Keynote Speakers

Cyberpsychology: Emotion as the Hidden Driver of Social Behavior in Online Networks

Bio: Kristina Lerman is a Professor of Informatics at Indiana University’s Luddy School of Informatics, Computing and Engineering and a fellow of the AAAI. Trained as a physicist, she now applies network analysis and machine learning to problems in computational social science, including crowdsourcing, social network and social media analysis. Her work on modeling and understanding human behavior online social networks has been covered by the Washington Post, Wall Street Journal, and The Atlantic.

Personalization in the Era of Super(?)-intelligence

Bio: James Caverlee is a Professor in the Department of Computer Science and Engineering at Texas A&M University and a Visiting Researcher at Google DeepMind. His research focuses on personalization, efficiency, and AI risks in domains like LLMs, recommender systems, conversational systems, and speech. His work has been supported by an NSF CAREER award, an AFOSR Young Investigator Award, a DARPA Young Faculty Award, and grants from Google, Amazon, AFOSR, DARPA, and the NSF. He received the 2022 SIGIR Test of Time Award Honorable Mention, the 2020 CIKM Test of Time Award, plus several departmental and college-level teaching awards. He was the General Co-Chair of WSDM 2020 and serves as a Senior Associate Editor of ACM Transactions on Intelligent Systems and Technology.

The Future of Personalized Universal Assistant

Bio: Ed H. Chi is VP of Research at Google DeepMind, leading machine learning research teams working on large language models (from LaMDA leading to launching Bard/Gemini), and universal assistant agents. With 39 patents and ~200 research articles, he is also known for research on user behavior in web and social media. As the Research Platform Lead, he helped launched Bard/Gemini, a conversational chatbot experiment. His research also delivered significant improvements for YouTube, News, Ads, Google Play Store at Google with >1000 product landings and ~10.4B in annual revenue since 2013. 

Prior to Google, he was Area Manager and Principal Scientist at Xerox Palo Alto Research Center’s Augmented Social Cognition Group in researching how social computing systems help groups of people to remember, think and reason. Ed earned his 3 degrees (B.S., M.S., and Ph.D.) in 6.5 years from University of Minnesota. Inducted as an ACM Fellow and into the CHI Academy, he also received a 20-year Test of Time award for research in information visualization. He has been featured and quoted in the press, including the Economist, Time Magazine, LA Times, and the Associated Press. An avid golfer, swimmer, photographer and snowboarder in his spare time, he also has a blackbelt in Taekwondo.