Interface of the Natural Sciences and Data Sciences

Lead PI: Patricia Culligan , Kathleen McKeown

Unit Affiliation: Columbia Engineering

January 2014 - December 2016
Inactive
Global
Project Type: Research

DESCRIPTION: Data science offers new ways of looking at the world. At Columbia University and elsewhere, researchers are mining massive data sets to investigate the origins of our universe, the effects of climate change on our oceans and the structure of promising nanoscale materials. With support from the Moore and Sloan foundations, this work is part of a broader effort to bring the latest machine learning and statistical techniques to traditional scientific analysis. Researchers from Columbia, NYU, the University of Missouri and the NASA Goddard Institute for Space Studies will discuss how data science is enabling discovery in their fields.

SPONSOR:

Sloan Foundation, Gordon & Betty Moore Foundation

FUNDED AMOUNT:

$705,000

COLUMBIA UNIVERSITY COLLABORATORS:

Data Science Institute

KEYWORDS

machine learning climate change nanoscale data science