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Guided Affinity Group: Johann Rudi – Inverse Problems Meet Big Data

Institution/Organization: The University of Texas at Austin

What conference theme areas are you interested in (check all that apply):

  • Multiphysics and Multiscale Computations;
  • Novel Discretizations and Fast Solvers;
  • Scientific Software and High-Performance Computing;
  • Simulations on Emerging Architectures

 

Conference Themes for Guided Activities:

  • Multiphysics and Multiscale Computations;
  • Novel Discretizations and Fast Solvers;
  • Scientific Software and High-Performance Computing;
  • Simulations on Emerging Architectures

Guided Activity Description: Provide guidance through a session/mini-symposium, e.g., of the following style: Before session: (group discussion) – formulate expectations for a session – find individual challenges to stay focused and motivated throughout session During session: (individual) – extract main message of a talk – most importantly: formulate questions (to self and presenting speakers) – interact with presenting speakers (after a talk or after session) After session: (group discussion) – extract/evaluate content of talks: main topic, contribution, originality, scientific soundness, usefulness for people working in the field or for a  wider community – evaluate presentations: organization, accessibility/easy to follow, style – take-away conclusions – remaining open questions

Pre-session Discussion: Monday, February 27th, 2017, 9:45 am – 10:15 am

Sessions:

MS2 Inverse problems meet big data – Part I of III, Monday, February 27th, 2017, 10:15am – 11:55am
MS31 Inverse problems meet big dat – Part II of III, Monday, February 27th, 2017, 2:25pm – 4:05pm
MS60 Inverse problems meet big data – Part III of III, Monday, February 27th, 2017, 4:35pm – 6:25pm

Post-session Discussion: Tuesday, February 28th, 2017, 3:15-4:00 pm