There are several activity and discussion groups going on, there's a new one starting today and others are summarized below.

All are welcome, please contact the organizer if you're interested.

Stefan


--

From Sven:


Together with some summer students, we are organizing an informal study group on Optimization with Chance Constraints, which are a form of uncertain constraints that must hold with a user-defined probability. We are meeting twice a week on Tuesdays at 1:30-2:30pm in 2172 and on Fridays at 9am in 1178.

I have created a small folder with randomly selected papers on chance constraints, see https://drive.google.com/drive/folders/1HRCimO7shJFwgAEOCO658Vdm8icJ-XQ4?usp=sharing . At today's meeting, I'll introduce chance constraints, talk about some simple example, outline approaches, and we can then decide what papers to read next.

Please let me know if you (or one of your students) is interested in listening or participating in this group (so that we can book a larger room if needed).










Chance Constrained Optimization Study Group






Status: Active
When: Tuesday 1:30-2:30; Fridays 9:00-10:00
Contact/Organizer: Sven Leyffer
Since: June 2018
Most recent known meeting: 6/5/2018
 About

Together with some summer students, we are organizing an informal study group on Optimization with Chance Constraints, which are a form of uncertain constraints that must hold with a user-defined probability. We are meeting twice a week on Tuesdays at 1:30-2:30pm in 2172 and on Fridays at 9am in 1178.

More info: Ask Sven to be added to calendar invite and google doc folder



Numerical Linear Algebra Discussion Group







Status: Active
When: Every Monday, 1-2PM; Bldg 240 (room can vary, we miss the occasional week)
Contact/Organizer: Anthony Austin
Since: February 2018
Most recent known meeting: 6/4/2018
About: Intends to be a useful and fun group that meets periodically to discuss numerical linear algebra.  These informal discussions would be didactic in nature (rather than "research-oriented"---you wouldn't need to be an NLA expert to participate) and would aim at refreshing our memories on basic numerical analysis tricks and handy features of matrix decompositions that are useful when solving problems and writing code.
More info: Ask Anthony or Stefan Wild to be added to calendar invite and git repo



Leadership Reading Group





Status: Active
When: Monthly, every 3rd Wednesday, 11:30-12:30
Contact: Todd Munson
Since: January 2018
Most recent known meeting: 5/16/2018
About:

A monthly reading group on interesting books on leadership, teams, and organizational health that are relevant to our national laboratory environment. The group rotates facilitators so that everyone has a chance to lead the discussion.

More info:

Mailing list: https://lists.cels.anl.gov/mailman/listinfo/reading-leadership

Reading list and schedule: https://docs.google.com/document/d/1lnTC0CD2x7ywEeLj6OitzSi9rh3oY70Iul5rRSFMd1w/edit?usp=sharing




Machine Learning/ Data Science journal club








Status: Active
When: Monthly, subscribe to list for details
Contact/Organizer: Noah Paulson & Ganesh Sivaraman
Since: November 2017
Most recent known meeting: 2/23/2018
About:

Journal club focused on HPC and data science/machine learning. The goal of the club is to learn more about using machine learning/data science and HPC for scientific applications. We plan to do this by reading current literature and having presentations about machine learning/data science/HPC theory and applications of the theory.

The goal is to discuss an article or have a presentation about current research every two weeks. This is meant so that everyone will learn something, regardless of their previous level of expertise. It's an informal group, so people only present something if they want to.

More info: Mailing list at
https://lists.alcf.anl.gov/mailman/listinfo/journal-club
About:



Bayesian Data Analysis Reading Group
Status: Inactive


When: Every other Thursday, 11-12:30

Contact/Organizer: Wendy Di

Since: March 2015

Most recent known meeting: 7/9/2015

About:

Journal club focused on HPC and data science/machine learning. The goal of the club is to learn more about using machine learning/data science and HPC for scientific applications. We plan to do this by reading current literature and having presentations about machine learning/data science/HPC theory and applications of the theory.

The goal is to discuss an article or have a presentation about current research every two weeks. This is meant so that everyone will learn something, regardless of their previous level of expertise. It's an informal group, so people only present something if they want to.


More info:

Google doc schedule at

https://docs.google.com/document/d/1YA2U8xgRsJFux8tR6Fe171dPzuuo9LApo8E4AcH-Z8k/edit?usp=sharing