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UID:930@fds.yale.edu
DTSTART;TZID=America/New_York:20260129T160000
DTEND;TZID=America/New_York:20260129T173000
DTSTAMP:20260121T182336Z
URL:https://fds.yale.edu/events/ai-at-yale-speaker-series-sendhil-mullaina
 than-mit-machine-learning-and-complex-human-behavior/
SUMMARY:AI at Yale Speaker Series: Sendhil Mullainathan (MIT)\, "Machine Le
 arning and Complex Human Behavior"
DESCRIPTION:\nSpeaker bio: Sendhil Mullainathan is a Professor of Economics
  and Engineering &amp\; Computer Science at MIT.&nbsp\;His recent work foc
 uses on the application of machine learning to human behavior in contexts 
 spanning economics\, law\, education and beyond. His is currently developi
 ng algorithmic models he calls “Bicycles for the Mind”—a metaphor fo
 r efficiency. Mullainathan’s work has been recognized with a MacArthur 
 “Genius Grant” and listings as a “Top 100 Thinker” by&nbsp\;Foreig
 n Policy Magazine&nbsp\;and “Smart List: 50 people who will change the w
 orld” by&nbsp\;Wired Magazine. &nbsp\;Co-sponsored by&nbsp\;AI at Yale\,
 &nbsp\;Yale Library\,&nbsp\;the&nbsp\;Data Intensive Social Science Center
 \, and Yale FDS.\n\n\n\n\nRegister\n\n\n\n\nLocation and Parking Tips: Ent
 er either from York Street through the Poorvu Center for Teaching and Lear
 ning (street access) or from Wall Street (pedestrian only access).&nbsp\; 
 Metered parking is enforced and rarely available on York.&nbsp\; Closest p
 arking lot is the Shops at Yale lot on the Broadway island (aka 56 Broadwa
 y parking lot ($2/hour)).&nbsp\;&nbsp\;Additional visitor parking options.
 \n\n\n\n\n
CATEGORIES:AI at Yale,Fellows Events,FDS Events
LOCATION:Sterling Memorial Library\, Sterling Memorial Lecture Hall\, 120 H
 igh Street\, 1st floor\, New Haven\, CT\, 06511\, United States
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=120 High Street\, 1st floor
 \, New Haven\, CT\, 06511\, United States;X-APPLE-RADIUS=100;X-TITLE=Sterl
 ing Memorial Library\, Sterling Memorial Lecture Hall:geo:0,0
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TZID:America/New_York
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DTSTART:20251102T010000
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