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SUMMARY:Inferring causation from time series with perspectives in Earth sy
 stem sciences - Jakob Runge | Institute of Data Science\, German Aerospace
  Center (DLR) - Climate Informatics Group
DTSTART:20201117T110000Z
DTEND:20201117T123000Z
UID:TALK152512@talks.cam.ac.uk
CONTACT:Tudor Suciu
DESCRIPTION:The heart of the scientific enterprise is a rational effort to
  understand the causes behind the phenomena we observe. In disciplines dea
 ling with complex dynamical systems\, such as the Earth system\, replicate
 d real experiments are rarely feasible. However\, a rapidly increasing amo
 unt of observational and simulated data opens up the use of novel data-dri
 ven causal inference methods beyond the commonly adopted correlation techn
 iques. In this talk I will present a Perspective Paper in Nature Communica
 tions giving an overview of causal inference methods and identify key task
 s and major challenges where causal methods have the potential to advance 
 the state-of-the-art in Earth system sciences.\n\n(Runge\, J.\, S. Bathian
 y\, E. Bollt\, G. Camps-Valls\, D. Coumou\, E. Deyle\, C. Glymour\, M. Kre
 tschmer\, M. D. Mahecha\, J. Muñoz-Marı́\, E. H. van Nes\, J. Peters\, 
 R. Quax\, M. Reichstein\, M. Scheffer\, B. Schölkopf\, P. Spirtes\, G. Su
 gihara\, J. Sun\, K. Zhang\, and J. Zscheischler (2019). Inferring causati
 on from time series in earth system sciences. Nature Communications 10 (1)
 \, 2553.)\n\n"Zoom link":https://us02web.zoom.us/j/89975312802?pwd=dkpvc0M
 3RGhtY1JOUm5Hc1dCNm9IZz09 \n\nMeeting ID: 899 7531 2802 \n\nPasscode: 9453
 23
LOCATION:https://us02web.zoom.us/j/89975312802?pwd=dkpvc0M3RGhtY1JOUm5Hc1d
 CNm9IZz09
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