Data Science Learning and Applications to Biomedical and Health Sciences


Sponsored by

     NSF Smart and Connected Health Program

   NSF Northeast Big Data Innovation Hub

        Rutgers Institute for Data Science, learning, and Applications (I-DSLA)

    Columbia University Data Science Institute

In Partnership with

The New York Academy of Sciences


Important Dates

                               
                                             November 30
                                                November 23 , 2015 – Deadline for submitting concept papers.

    December 20, 2015 - Author notification

    January 7-8, 2016 – Workshop


Registration

For Workshop Registration, please send email to: jcostley@nyas.org

Dr. Jennifer Costley, NY Academy of Science  

Looking forward to seeing you at the Workshop.


Location

The New York Academy of Sciences, 

7 WTC, 250 Greenwich Street, NYC, NY



Paper Submission Link

https://easychair.org/conferences/?conf=dslabhs2016

**Requests for travel and lodging support will be considered upon request.

Confirmed Speakers



Dr. Wendy J. Nilsen

Program Director, Smart and Connected Health

Directorate for Computer & Information Science & Engineering

National Science Foundation

 

Dr. Michelle Dunn

Senior Advisor for Data Science Training, Diversity, and Outreach

Co-chair the NIH Big Data to Knowledge (BD2K) Subcommittee on Training

National Institutes of Health

 

Dr. Winfried Denk

Director of the Department Electrons – Photons – Neurons

The Max Planck Institute of Neurobiology


Download Brochure

The workshop aims to develop a research agenda for this area and enable connections and collaborations among scientists from academia, industry, and government, clinicians and investigators engaged in technology development, deployment, and use.

The workshop will provide a forum for these investigators to assess the state-of-the-art, identify related challenges and propose solutions to address enhancing the utility of “Big Data”. The overarching goal of these endeavors will be to incorporate the capabilities of ‘Big Data” technology toward understanding normal biological and disease processes at the population, individual patient, and cellular levels.

The scope of this workshop includes the following themes: neurosciencecancercardiovascular disease using data from multiple sources.