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SUMMARY:Data Science and Machine Learning in Context - Dr. Alfred Z. Spect
 or Visiting Scholar\, MIT EECS
DTSTART:20230222T150500Z
DTEND:20230222T155500Z
UID:TALK196936@talks.cam.ac.uk
CONTACT:Ben Karniely
DESCRIPTION:Data driven approaches are providing unprecedented opportuniti
 es to predict\, recommend\, cluster\, classify\, transform\, plan\, and op
 timize. Catalyzed by advances in statistics\, operations research\, and pa
 rticularly computing (e.g.\, machine learning)\, data driven techniques ho
 ld great promise in all fields of human endeavor.  However\, no technologi
 es arrive without complications\, and there are increasing societal concer
 ns with their real\, potential\, and fictional implications.\n\nBased in p
 art on our (Spector\, Norvig\, Wiggins\, Wing) recently published textbook
 \, Data Science in Context (Cambridge Univ. Press)\, this talk proposes a 
 rubric that can serve as a practical framework for guiding the specificati
 on and implementation of data-driven applications.  It further describes t
 he associated (seven) categories of challenges\, and it discusses the need
 ed role of ethics\, economics\, and political science as data-driven techn
 ologies have rapidly increasing impact. The talk is illustrated with many 
 examples\, which collectively serve to make its structural hypotheses more
  concrete.\n\nBio \n\nDr. Alfred Spector is a Visiting Scholar at MIT whos
 e career began with innovation in large scale\, networked computing system
 s (at Stanford\, as a professor at CMU\, and as founder of Transarc) and t
 hen transitioned to research leadership (first leading IBM Software Resear
 ch\, subsequently Google Research\, and then as CTO of Two Sigma Investmen
 ts). In addition to his managerial career\, Dr. Spector has lectured widel
 y on the growing importance of computer science across all disciplines ("C
 S+X")\, and he has recently completed a book entitled Data Science in Cont
 ext: Foundations\, Challenges\, and Opportunities (Spector\, Norvig\, Wigg
 ins\, and Wing\; Cambridge University Press\; 2022). He is a Fellow of the
  ACM and IEEE\, and he is a member of the National Academy of Engineering 
 and the American Academy of Arts and Sciences\, where he serves on its Cou
 ncil. Dr. Spector won the 2001 IEEE Kanai Award for Distributed Computing\
 , was co-awarded the 2016 ACM Software Systems Award\, and was a Phi Beta 
 Kappa Visiting Scholar. He received a Ph.D. in Computer Science from Stanf
 ord (as a Hertz Fellow) and an A.B. in Applied Mathematics from Harvard.\n
 \nLink to join virtually: https://zoom.us/j/98901725392?pwd=UWNVZVFTcVQxL2
 JkS0V1WVBoelBuUT09\n\nA recording of this talk is available at the followi
 ng link: https://www.cl.cam.ac.uk/seminars/wednesday/video/\n
LOCATION:Lecture Theatre 1\, Computer Laboratory\, William Gates Building
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