Upcoming events
What Will it Take to Succeed at Research? Taking Reproducibility to Action for Transformative AI-and Data-enabled Scientific Research
In this interactive workshop, Victoria Stodden invites the KIT community, especially early career researchers, to create ideas and proposals for facilitating research that is data-, compute-, or AI-enabled. The goal is to formulate a draft set of recommendations for accelerating research, focusing on shared and open workflows and reproducibility of results. We will workshop a "reproducible pipeline" with either real examples of the work you are currently doing, or prototype examples. We will identify reproducibility barriers you are facing and then 1) validate or repudiate the ideas from the plenary talk and 2) use this as a springboard to formulate a set of recommendations emerging from the workshop.
The workshops will build on ideas that will be introduced during the plenary talk by Victoria Stodden on January 20th, but the events will be stand-alone - if you can't attend the talk, you will still be able to participate in the workshop.
Register until January 14, 2025!
Participation is free of charge
https://www.kcds.kit.edu/900.php
Prof. Victoria Stodden
University of Southern California
Angela Hühnerfuß
KIT Graduate School Computational and Data Science (KCDS)
KIT-Center MathSEE
Karlsruhe
Mail: kcds ∂ kit edu
https://www.kcds.kit.edu
Deep Learning Workshop (Oct 5-6, on-site at TRIANGEL.space)
info and registrationSep 18-20, 2023 at KIT
Info and registrationKCDS Fellows present: Elevator Pitches on PhD projects and previous scientific work + KCDS 1st Birthday Party on June 27, 2023, 13:00-14:00
moreDr. John A. Warwicker (IOR), May 23, 2023, 13:00-14:00h
moreDr. Johannes Bracher (ECON), April 25, 2023, 13:00-14:00h
moreDr. Cihan Ates (ITS), March 28, 2023, 13:00-14:00h
morePD Dr.-Ing. Uwe Ehret (IWG), Feb 28, 2023, 13:00-14:00h
moreKCDS X GRACE Crossover Workshop (Dec 2022, on-site)
more