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SUMMARY:Protocols over Implementations - Dominik Moritz (Professor at CMU 
 HCII and Researcher at Apple)
DTSTART:20251009T120000Z
DTEND:20251009T130000Z
UID:TALK237256@talks.cam.ac.uk
CONTACT:Shun Shao
DESCRIPTION:Abstract:\nData science and machine learning demand innovative
  visualization approaches to handle the ever-increasing size and complexit
 y of data. Yet\, this specialization has led to isolated systems that have
  limited purposes. These monolithic systems take time to build\, are hard 
 to maintain\, and have limited research purpose long-term. In this talk\, 
 I argue that the HCI and visualization research community could foster a m
 ore vibrant ecosystem of tools by designing specifications and APIs and bu
 ilding composable systems on top of these declarative interfaces. Composab
 le visualization frameworks can empower data scientists\, machine learning
  engineers\, or other end users to quickly create ephemeral data interface
 s for their current needs. Specifications are intellectually challenging\,
  yet encourage vibrant ecosystems and more reproducible research.\n\nBio:\
 nDominik Moritz is on the faculty at Carnegie Mellon University where he c
 o-directs the Data Interaction Group (https://dig.cmu.edu/) at the Human-C
 omputer Interaction Institute. His group’s research develops interactive
  systems that empower everyone to effectively analyze and communicate data
 . Dominik also manages the visualization team in Apple’s machine learnin
 g organization. His systems (Vega-Lite\, Falcon\, Draco\, Voyager\, and ot
 hers) have won awards at academic venues (e.g. IEEE VIS and CHI)\, are wid
 ely used in industry\, and by the Python and JavaScript data science commu
 nities. Dominik got his PhD from the Paul G. Allen School at the Universit
 y of Washington\, where he was advised by Jeff Heer and Bill Howe.
LOCATION:https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBd
 XVpOXFvdz09
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