Conferences  >  Informatics  >  Scientific Computing and Data Science  >  United States

American Institute of Mathematics, Pasadena, California (AIM)

This workshop is designed for faculty, postdocs, and PhD students who are interested in teaching statistics and data science through an interdisciplinary approach that leverages the strengths of both applied mathematics and statistics. Participants will exchange pedagogical ideas, curricula, and research applications, fostering collaboration between those teaching data science. The workshop is especially relevant for statistics faculty looking to expand their data science toolbox and applied mathematicians aiming to equip their students with essential data science skills. The workshop is also open to individuals in engineering, epidemiology, computer science and other STEM or public health fields.

Applied Mathematics (in general),    Didactics of Scientific Disciplines

Institute for Computational and Experimental Research in Mathematics, Brown University, Providence, RI (ICERM)

Summer@ICERM is a residential undergraduate research program hosted at the Institute for Computational and Experimental Research in Mathematics at Brown University. Led by experienced faculty and graduate student teaching assistants, participating undergrads will spend seven weeks learning how to collaborate, engage in data science, and conduct research as a team. The goal of Summer@ICERM 2025: Building Useful Insights from Local Data through Sustainable partnerships (BUILDS) is to introduce students with limited experience to the field of data science through projects related to issues such as global food systems, food production, and food security.

Courses and Events for Math Students and Early Career Researchers,    Public Lectures and Outreach

This workshop, sponsored by AIM and the NSF, will bring together researchers from across the mathematical sciences to apply a broad range of mathematical, statistical, and data science tools to study the mathematical sciences community. The workshop will include both researchers currently working in this area, as well as researchers new to the field interested in applying their expertise to this area.

Developing MetaMath as an example of using mathematical, statistical, and computational methods to investigate the mathematical sciences community itself. Catalyzing research collaborations aimed at using data to answer questions about the mathematical sciences community. Exploring the variety of mathematical, statistical, and data science techniques that can be applied to gain insight into the systems and structure of the mathematical sciences community.

General Mathematical Research and Multidisciplinary Events,    Applied Mathematics (in general)