Imagine a tool that draws on vast genomic datasets and allows biologists to see how interactions between DNA influence gene regulation, in the same way that a Google Map lets the user zoom in on a street address to see what’s nearby in the neighborhood.
Harvard will offer a Master of Science (SM) degree in Data Science beginning in fall of 2018. The new degree, under the joint academic leadership of the faculties of Computer Science in the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), and of Statistics in the Faculty of Arts and Sciences (FAS), will train students in the rapidly growing field of data science.
Alzheimer’s disease is the sixth leading cause of death among U.S. adults, yet the chronic neurodegenerative disease has no cure or effective treatment. The key to developing successful therapies likely lies in early detection, since Alzheimer’s causes neurons and synapses to deteriorate slowly and irreversibly.
One in five women will be sexually assaulted in college. Understanding the multi-dimensional nature of that jarring statistic requires a closer look at the meaning behind the numbers.
“Be the smart girl. . .The best way to fight implicit bias is through hard work.”
That was the advice Margo Seltzer, Hershel Smith Professor of Computer Science, offered to more than 100 female technologists, researchers, and students who gathered in Cambridge, Mass., for the global Women in Data Science Conference (WiDS), a daylong event to inspire, connect, and educate women in tech.
The 2020 ComputeFest symposium will be held on Tuesday, January 21st with the workshops following on Wednesday-Friday, January 22-24th.
The IACS Seminar series will resume on Friday, September 13, 2019.
The IACS seminar series is a forum for thought leaders from academia, industry, and government to share their research on innovative computational and data science topics and methodologies. Past topics include smart city design, data science for social good, data privacy and security, socially assistive robotics, big data software, machine learning for small business lending, AI technology development, and data-driven algorithmics.
Applied Computation, which encompasses Data Science (DS) and Computational Science and Engineering (CSE), is an exciting and rapidly evolving field that exploits the power of computation as an approach to major challenges on the frontiers of natural and social science and all engineering fields.
A new S.M. degree program in Data Science will begin in fall 2018.
For more information, contact Daniel Weinstock, Associate Director of Graduate Studies in Applied Computation.