This workshop focuses on the practical and theoretical challenges in the emerging area of quantum information and computing, which seeks to make effective use of the information embedded in the state of a quantum system, and promises to solve previously intractable computational problems and revolutionize simulation.
May 17-21, 2021
One of the most challenging sets of decisions facing individuals and institutions today involves personal health and medical care. Breakthroughs in biomedical science and engineering have delivered life-saving therapies that were impossible just a few years ago, but at a cost of a million dollars per dose in some cases. The decision-making processes for balancing medical needs with economic incentives and the complexity of the healthcare system are fraught with social, ethical, and political dimensions that most stakeholders are not equipped to address.
In this age of rapidly increasing access to ever larger data sets, it has become clear that studying the “shape” of data using the tools of combinatorial and algebraic topology can lead to much deeper insights than other standard methods when analyzing complex data sets. Topological data analysis (TDA) is the exciting and highly active new field of research that encompasses these productive developments at the interface of algebraic topology, statistics, and data science.
The extraordinary impact of COVID-19 requires equally extraordinary measures, which is the focus of this workshop. Four major themes will be represented: Public Health Challenges, The Role of Data Science, Measuring and Managing Economic Impact.
The GROW 2020 conference is aimed at female-identified undergraduate students who may be interested in pursuing a graduate degree in the mathematical sciences.
This conference will give an overview of the scientific themes of IMSI: Climate Science, Data and Information, Health Care and Medicine, Materials Science, Quantum Information, and Uncertainty.