Guided Affinity GroupS (GAGS) are designed to help students get more out of SIAM CSE19 conference sessions. Led by CSE volunteer community members, learning groups explore conference topics from an entry level perspective by meeting prior to the conference session, attending the conference session together, and then meeting afterwards. BE attendees will meet with affinity group leads virtually prior to the conference and then meet daily with leads. Attendees will provide a 5-10 minute presentation on what was discovered and learned from the experience at the BE Wrap up session. All conference attendees are invited to attend the morning affinity group stand-ups and participate in expanding the educational experience of our BE attendees. Students who wish to attend the GAGS must pre-register by sending an email to firstname.lastname@example.org.
The first thing every morning at SIAM CSE19 the affinity groups will gather to discuss three questions:
What did we learn yesterday?
What are we planning on learning today?
What do we need to do today to get the final presentation complete?
Each group will present for a maximum of 10 minutes during the BE Wrap Up Session. Best practices in presentations say that no more than 5 slides should be used. Students will be required to create and deliver this presentation. In the slides we’d like the group to talk about:
What was their affinity group?
What were the pedagogical goals of the team?
Who was involved? (Leader, team, others?)
What did they learned?
What was the most effective ways to learn?
Particular talks/researchers they felt helped them?
Here is a list of the planned Guided Affinity Groups:
- Biological and biomedical computations with Sally Ellingson, University of KentuckyThis GAGS will explore computation and the application of machine learning in biomedical research. A particular focus will be on computational drug discovery in which […]
- From Dark Matter to Micro-swimmers with Ann Almgren, Lawrence Berkeley National LaboratoryThis GAGS will explore how particles are used computationally to represent very different quantities, from dark matter at very large scale to atoms or smaller. Flows of […]
- Hybrid Parallelism: harnessing diverse computational resources with Stephen Wood, NASACompute clusters are evolving away from compositions of many nodes that contain a few processors with a small amount of shared memory towards compositions of […]
- Ice Sheet Modeling with Dan Martin, Lawrence Berkeley National LaboratoryModeling the dynamics of ice sheets like those found in Antarctica and Greenland has become an exciting research topic. Once thought to be stable and […]
- Software Productivity and Sustainability for CSE and Data Science with Lois Curfman McInnes Argonne National Laboratory, Elsa Gonsiorowski, Lawrence Livermore National Laboratory and Reed Milewicz, Sandia National LaboratoriesSoftware is the key crosscutting technology that enables advances in mathematics, computer science, and domain-specific science and engineering to achieve robust simulations and analysis for […]