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

Tuesday, May 17th 2016 | 1:30 PM – 2:00 PM

Flash Talks

Matteo Convertino

Matteo Convertino

University of Minnesota

Enhanced Adaptive Management for Population Health: Integrating Ecosystem Dynamics and Stakeholder Mental Models
Abstract & Bio
Maria Larenas

Maria Larenas

National Institutes of Health

Impact of NIH Funded Postdoctoral Training on Future Career Outcomes
Abstract & Bio
Jeroen Struben

Jeroen Struben

McGill University

CSR-Mainstreamed Innovation: A Model of Market Transformation for Scaled Solutions to Socio-Economic Inequity
Abstract & Bio
Julie Mason

Julie Mason

National Institutes of Health, National Cancer Institute, Center for Cancer Training

Labor and Skills Gap Analysis of the Biomedical Research Workforce
Abstract & Bio
Timothy Slaper

Timothy Slaper

Indiana Business Research Center

Driving Regional Performance: Theory and Measurement in Innovation Research
Abstract & Bio
Kenneth Gibbs

Kenneth Gibbs

NIH/NIGMS

Biomedical Workforce Diversity: Missing Linkage Between Underrepresented Minority Talent Pool and Basic Science Departments in Medical Schools
Abstract & Bio
Xiaoran Yan

Xiaoran Yan

Indiana University

Graph transformations of scholarly networks
Abstract & Bio
Bruce Hecht

Bruce Hecht

Analog Devices

Framework for Scalable Sensors for the Internet of Things and People
Abstract & Bio
Masaru Yarime

Masaru Yarime

University of Tokyo and University College London

Modeling Innovation Systems to Address Grand/Societal Challenges: A Case of Smart Cities
Abstract & Bio
Philip Beesley

Philip Beesley

School of Architecture, University of Waterloo

Living Architecture Systems
Abstract & Bio
Alina Lungeanu

Alina Lungeanu

Pennsylvania State University

Team Assembly in New Emerging Fields: A Computational Modelling Approach
Abstract & Bio
Ben Shneiderman

Ben Shneiderman

University of Maryland

The New ABCs of Research: Achieving Breakthrough Collaborations
Abstract & Bio
Kalev Leetaru

Kalev Leetaru

GDELT Project

Quantifying, Visualizing, and Forecasting Global Human Society Through “Big Data”: What it Looks Like To Compute on the Entire Planet
Abstract & Bio