About the series
NOTE: The meeting start time changed to 2:30pm
Abstract:
Large scale data commons are beginning to change the way that we share research data and make scientific discoveries. In this talk, Dr. Grossman surveys some of the large scale scientific clouds and data commons, highlight some case studies, and discuss some of the emerging opportunities and challenges.
Bio:
Robert Grossman is a faculty member at the University of Chicago, where he is the Chief Research Informatics Officer (CRIO) of the Biological Sciences Division; the Director of the Center for Data Intensive Science (CDIS); a Senior Fellow and Core Faculty in the Institute for Genomics and Systems Biology and the Computation Institute; and a Professor in the Department of Medicine in the Section of Genetic Medicine. His research group focuses on data science, data intensive computing, biomedical informatics and related areas. He is the Director of the not-for-profit Open Commons Consortium that develops and operates data commons and data clouds to support research in science, medicine, health care, and the environment. He is also the Founder and Chief Data Scientist of Open Data Group that provides technology for deploying predictive models into operational systems. For his contributions to big data and data science, he was elected a Fellow of the AAAS in 2013.
To Join the Webinar:
Please register at: https://nsf.webex.com/nsf/j.php?RGID=r734968f00977200012740df28ef85cad
by 11:59pm EST on Tuesday July 5, 2016.
After your registration is accepted, you will receive an email with a URL to join the meeting. Please be sure to join a few minutes before the start of the webinar. This system does not establish a voice connection on your computer; instead, your acceptance message will have a toll-free phone number that you will be prompted to call after joining. If you are international, please email kgeary@nsf.gov to obtain the appropriate dial in number. Please note that this registration is a manual process; therefore, do not expect an immediate acceptance. In the event the number of requests exceeds the capacity, some requests may have to be denied.
