**May 2023 Newsletter **
**Upcoming Workshops**
**June 26-30, 2023:** Laplacian Growth Models: Theory and Applications
**July 10-14, 2023:** Object Oriented Data Analysis in Health Sciences
**August 22-25, 2023: **Permutation and Causal Inference: Connections and Applications
**September 18-22, 2023:** Invitation to Algebraic Statistics and Applications
**October 9-13, 2023:** Algebraic Statistics for Ecological and Biological Systems
**November 6-10, 2023:** Algebraic Economics
**December 11-15, 2023:** Bayesian Statistics and Statistical Learning: New Directions in Algebraic Statistics
**BRING MATH Workshop**
The second annual BRING MATH Workshop will take place October 5-6, 2023 at Argonne National Laboratory. The workshop is aimed at undergraduates interested in the mathematical sciences, and is organized by IMSI and the Mathematics and Computer Science Division at Argonne. The workshop will include sessions on research at Argonne in areas such as climate & sustainability, data science, and quantum computing & information, tours of Argonne facilities such as the Quantum Foundry and the Center for Nanoscale Materials, networking opportunities with researchers at Argonne, and
a panel on career paths in the mathematical sciences.
This event is open to undergraduates at U.S. colleges and universities, and to faculty who wish to accompany a group of students from their institution to this event. Students from groups that are historically underrepresented in the mathematical sciences are strongly encouraged to apply. Applications are available on the BRING MATH Workshop page; the deadline to apply is June 19, 2023.
**Modern Mathematics Workshop**
The annual Modern Math Workshop (MMW) will take place October 25-26, 2023, in conjunction with the SACNAS 2023 NDiSTEM Conference. The workshop is organized each year by institutes involved in the Mathematical Sciences Institutes Diversity Initiative (MSIDI). The workshop is a mix of activities including research expositions aimed at graduate students and researchers, mini-courses aimed at undergraduates, a keynote lecture by a distinguished scientist, and a reception where participants can learn more information about the Mathematical Sciences Institutes.
The MMW is intended to encourage undergraduates from underrepresented groups to pursue careers in the mathematical sciences, and to build research and networking opportunities among undergraduates, graduate students and recent PhDs. Funding is available to cover travel and lodging for participants in the MMW, as well as to fund registration fees, travel, and lodging for MMW participants who also wish to attend the SACNAS NDiSTEM conference. It is not necessary to attend the NDiSTEM conference to attend or request funding for the MMW.
The application for the MMW and applications for Research Presentations and Travel Scholarships through SACNAS are now open.
**Accepting Applications for the Spring 2024 Long Program: Data-Driven Materials Informatics: Statistical Methods and Mathematical Analysis**
The Spring 2024 Long Program (March 4 - May 24, 2024) is still accepting applications on a rolling basis. Materials informatics is an emerging field defined by the use of simulation tools combined with methods from data sciences and machine learning to better understand materials properties and design innovative materials. The models which are considered cover an extremely wide range, from Schrödinger's equation, which describes matter at the (sub)atomistic scale, to the equations of continuum mechanics. Mathematical sciences play a key role in materials informatics, both to construct the databases used to train machine learning algorithms (since these databases are made of reference simulation results), and to harness them in order to extract the most relevant information. The aim of this program is bring together a diverse scientific audience, both between scientific fields (physical sciences, materials sciences, biophysics, etc) and within mathematics (mathematical modeling, numerical analysis, statistics and data analysis, etc), to make progress on key questions of materials informatics. This Long Program is organized by Claudia Draxl (Humboldt-Universität zu Berlin), Risi Kondor (The University of Chicago), Marina Meila (University of Washington), Danny Perez (Los Alamos National Laboratory), Gabriel Stoltz (Ecole des Ponts and Inria), and Francois Willaime (French Alternative Energies and Atomic Energy Commission (CEA)).
Apply here for Data-Driven Materials Informatics: Statistical Methods and Mathematical Analysis.
**IMSI Seeks Proposals for Scientific Activity**
IMSI is currently seeking proposals for long programs, workshops, interdisciplinary research clusters, and other scientific activity with a deadline of
**September 15, 2023**. Information about how to submit proposals can be found on the
proposal overview page and the resources linked therein. There are currently openings for long programs in 2025-26 and beyond, and openings for workshops in the winter of 2024 and beyond. IMSI holds two proposal cycles per year, with deadlines of March 15 and September 15.
Copyright © 2023. All rights reserved.
IMSI acknowledges support from the National Science Foundation
(Grant No. DMS-1929348)
**Institute for Mathematical and Statistical Innovation**
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