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SUMMARY:CECAM Mixed-Gen session 4 : Data Driven Science
DTSTART:20210408T150000
DTEND:20210408T190000
DTSTAMP:20260501T201021Z
UID:666682aa561d8946d782a09c515f8c5ae4f94b9e6b2b79169cf19ef2
CATEGORIES:Conferences - Seminars
DESCRIPTION:Claudia Draxl (Humboldt University Berlin)\nWe have imagined a
  series of on-line sessions to enable simulators young in years or at hear
 t to meet and discuss in these unusual times. Our main goal is to provide 
 a venue for PhD students and young researchers to share their work\, get e
 xpert feedback and have an opportunity to strengthen their scientific rela
 tions within the CECAM community.\nEach session will have two parts. In th
 e first\, an experienced scientist will present an advanced topic in diffe
 rent areas of simulation and modelling\, followed by two young members of 
 the community describing their work in the same area. In the second part\,
  we shall move to a virtual poster session where more PhD students and res
 earchers in their first post-doc will present pertinent projects to the se
 ssion’s speaker and other expert guests that will join us to interact an
 d share their thoughts on exciting new science. Please note that registrat
 ion is mandatory for this second part of the program.\nIn this fourth inst
 alment\, Prof. Claudia Draxl\, Humboldt University Berlin\, will present
  a general talk in the area of data driven science (title and abstract be
 low).\nFor the full program & registration\, please visit: https://www.ce
 cam.org/workshop-details/1078\nFor general informatin on the entire series
 \, please visit: https://www.cecam.org/mixedgen \n\nFrom data to knowled
 ge\nClaudia Draxl\, Humboldt University Berlin\nResearch data paired with
  Artificial Intelligence (AI) enable a new quality of science. The ultimat
 e goal in our research domain is to predict novel candidate materials for 
 a given application\, possibly even in regions of the materials space that
  no-one would think of. For a real breakthrough\, key prerequisites have t
 o be brought together: Data – not only Big but most relevant and reliabl
 e – and novel AI tools with predictive power. In this session\, we will 
 review where we are on this road. A special focus will be on recently-deve
 loped data-analysis tools.
LOCATION:https://www.cecam.org/workshop-details/1078
STATUS:CONFIRMED
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