• Academy Events

  • Data Science, Learning, and Applications to Biomedical & Health Sciences

    January 7 - 8, 2016
    The New York Academy of Sciences

    Presented by The Rutgers Institute for Data Science, Learning, and Applications (I-DSLA), Columbia University Data Science Institute, and the New York Academy of Sciences

    Unprecedented increases in data volume, variety, and velocity, collectively termed “Big Data”, present a unique opportunity to gain insights, derive knowledge, and foster discovery that will result in improved patient outcomes, reduced costs, and accelerated biomedical advances. This Workshop will provide a forum for investigators to assess the state-of-the-art, identify related challenges, and propose solutions to enhance the utility of "Big Data” technology toward understanding normal biological and disease processes at the population, individual patient, and cellular levels within the fields of neuroscience, cancer, and cardiovascular disease and using data from multiple sources.

    You can find the workshop proceedings, including papers covering both short presentations and posters, at this link:

    Presented by