The Institute for Applied Computational Science (IACS) drives the computational and data science conversation at SEAS, and throughout Harvard, with a wide array of events, including a seminar series, ComputeFest, and various symposia and conferences. Interdisciplinary in nature, IACS frequently collaborates with the departments of Computer Science and Statistics, as well as Harvard's Center for Research on Computation and Society (CRCS).
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. Topics for this year's seminars include, but are not limited to, big data software, machine learning for small business lending, and AI technology development. Previous seminar topics include smart city design, data science for social good, data privacy and security, socially assistive robotics, and data-driven algorithmics.
Past seminars are available for viewing on the IACS Youtube Channel.
Organized by the Institute for Applied Computational Science, ComputeFest is an annual two week program of knowledge- and skill-building activities in computational and data science. The 2018 ComputeFest workshops will include sessions on Data Viz, Deep Learning, and Python.
Tuesday, January 16, 2018
Medicine and health care, like other aspects of life in the 21st century, are being reshaped by computational science, big data, and information technology. Given gigabytes of personal genomic data, therapies can be tailored to the individual patient and the individual disease. Standardized electronic health records create an information resource that improves decision making in the doctor’s office and also sheds light on health status across entire populations. Machine learning and artificial intelligence may soon augment the physician’s diagnostic skills. As these innovations promise to improve health and prolong lives, however, they also raise sticky economic and ethical questions.
On January 16th, experts from academia and industry gathered together at the Harvard Institute for Applied Computational Science for an in-depth discussion at how advances in technology are impacting human health services. NOTE: This event was free and open to the public.
Past IACS symposium topics also include: exascale computing, big data, data privacy and security, the converging fields of neuroscience and computer science/machine learning, and the computational economy.
Monday, March 5, 2018
The global Women in Data Science (WiDS) Conference aims to inspire and educate data scientists, regardless of gender, and support women in the field. This one-day technical conference provides an opportunity to hear about the latest data science related research in a number of domains, learn how leading-edge companies are leveraging data science for success, and connect with potential mentors, collaborators, and others in the field. Free and open to the public.