Published April 6, 2018 This content is archived.
Intrigued by data science, programming and high-performance computing? Want to learn from nationally recognized experts in the industry?
These topics — and much more — will be under discussion at CDSE Days, a five-day conference at UB that explores how big data and high-performance computing have become essential to scientific progress, economic competitiveness, national security, medicine and other industries.
The conference, which will bring some of the nation’s most pre-eminent scholars of data-enabled science to Buffalo, kicks off on April 9 on the North Campus with lectures, workshops and keynote speakers. It will conclude April 13 with a career workshop for students who work — or plan to work — in computational and data-enabled sciences.
CDSE stands for Computational and Data-Enabled Sciences and Engineering, a new discipline that integrates computing, data sciences and domain sciences. The goal is to train students as data scientists who deliver knowledge and insight crucial to advancing both scientific knowledge and solving complex business problems.
Highlights of the conference include:
5-6:30 p.m.: Poster session and reception in 101 Davis Hall.
The full schedule of events can be found online.
CDSE brings together faculty from the School of Engineering and Applied Sciences, the College of Arts and Sciences, the School of Management, the School of Pharmacy and Pharmaceutical Sciences, the School of Public Health and Health Professions, and the Jacobs School of Medicine and Biomedical Sciences. It offers graduate programs (PhD and masters) to train the next generation of cyberscientists on integrating large computing and big data to tackle research problems in fields ranging from multiscale modeling and design of materials to natural disasters, smart electric grids and medical technologies.
In 2018, CDSE is partnering with UB’s Center for Computational Research to create new modular education offerings as part of the newly constituted Institute for Computational and Data Sciences (ICDS). ICDS is funded by SUNY under its Performance Improvement Fund.