Collaborating with Mathematicians on Major Societal Challenges - Session B02
Offered By: APS Physics via YouTube
Course Description
Overview
Explore a comprehensive conference session from the 2024 APS March Meeting that delves into collaborations between mathematicians and other scientists to address major societal challenges. Learn about interdisciplinary opportunities at Mathematical Science Institutes, automated data-driven methods for material properties, quantum hardware simulation techniques, connections between physics and number theory, and uncertainty quantification in climate science. Gain insights from experts representing institutions such as UCLA, Los Alamos National Lab, AWS Center for Quantum Computing, University of Amsterdam, and JPL as they discuss cutting-edge research and collaborative approaches to solving complex problems at the intersection of mathematics and various scientific disciplines.
Syllabus
- Chair Intro
- Christian Ratsch UCLA - Opportunities for Interdisciplinary Collaborations at the Mathematical Science Institutes
- Danny Perez Los Alamos National Lab - Automated data-driven upscaling of transport properties in materials: the results of a multidisciplinary collaboration between physics and mathematics
- Kyungjoo Noh AWS Center for Quantum Computing Methods for simulating quantum hardware
- Miranda Cheng University of Amsterdam Physics and Number Theory
- Jonathan Hobbs JPL - Multi-Disciplinary Collaborations Enabling Uncertainty Quantification for Climate Science
Taught by
APS Physics
Related Courses
Data Science: Inferential Thinking through SimulationsUniversity of California, Berkeley via edX Decision Making Under Uncertainty: Introduction to Structured Expert Judgment
Delft University of Technology via edX Probabilistic Deep Learning with TensorFlow 2
Imperial College London via Coursera Agent Based Modeling
The National Centre for Research Methods via YouTube Sampling in Python
DataCamp