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DTSTAMP:20260404T020037Z
UID:5e09fa2e07819356376423@ist.ac.at
DTSTART:20200225T103000
DTEND:20200225T113000
DESCRIPTION:Speaker: Alexander Lex\nhosted by Chris Wojtan\nAbstract: Today
 \, scientific discovery is increasingly data-driven and enabled by computa
 tional tools. However\, there are many aspects of the data science process
  for which purely automatic approaches do not suffice. In a typical data a
 nalysis scenario\, reasoning and incorporating contextual knowledge is ess
 ential\, and when decisions are ultimately made by humans\, they need to b
 e knowledgeable about the data and the methods applied. In my talk I will 
 show how to enable this interplay between data\, computation\, visualizati
 on\, and humans to augment intelligence. I will first introduce a techniqu
 e we developed to analyze large clinical genealogies with the purpose of i
 dentifying suicide cases that have a likely genetic component as an exampl
 e of a visualization project tailored to solve an important domain-specifi
 c problem. I will then sketch approaches to Literate Visualization\, an an
 alogy to Knuths Literate Programming\, which is widely used in the form of
  computational notebooks in data science today. I will show how we can lev
 erage provenance data of an analysis session to create well-documented and
  annotated visualization stories that enable reproducibility and sharing. 
 I will also introduce early work on semi-automatically inferring mid-level
  analysis goals\, which allows us to understand the analysis process at a 
 higher level.I will conclude by reflecting on ways of knowing in visualiza
 tion: how can we tell if one visualization is better than another one? I w
 ill showcase a new method we developed that fills a gap in the current can
 on of evaluation methods.
LOCATION:Mondi Seminar Room 2\, Central Building\, ISTA
ORGANIZER:tguggenb@ist.ac.at
SUMMARY:Alexander Lex: Driving Scientific Discovery with Interactive Visual
  Data Analysis
URL:https://talks-calendar.ista.ac.at/events/2625
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