Modeling Science, Technology & Innovation Conference | Washington D.C. | May 17-18, 2016

Wednesday, May 18th 2016 | 8:00 AM – 9:30 AM

Data, Algorithms, and Infrastructure

High quality predictions require access to high quality and high coverage data. Just like local data is of little value for global weather predictions; data for just one institution or country is of limited value when aiming to make STI predictions.

Moderator

Katy Börner

Katy Börner

Victor H. Yngve Distinguished Professor of Information Science & Director, Cyberinfrastructure for Network Science Center, Indiana University Assistant Professor of Information Science, School of Informatics and Computing, Indiana University

Bio

Speakers

James Onken

James Onken

National Institutes of Health

Improving the Research Portfolio Data Infrastructure at the National Institutes of Health

Slides

Abstract & Bio
Ian Hutchins

Ian Hutchins

National Institutes of Health

Utilizing citation networks to explore and measure scientific influence

Slides

Abstract & Bio
Richard Freeman

Richard Freeman

Harvard University

The Missing Link in How Science and Engineering Affect the Economy

Slides

Abstract & Bio
Nachum Shacham

Nachum Shacham

PayPal

Data, platforms and predictive models to enable data-driven actions

Slides

Abstract & Bio
Grace Peng

Grace Peng

National Institutes of Health - NIBIB

Challenges with Model and Data Sharing in Biomedical, Biological and Behavioral Systems

Slides

Abstract & Bio