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


May 17


Tuesday May 17th

8:00 – 8:30 Breakfast
8:30 – 9:00 Welcome and Opening Remarks by C.D. (Dan) Mote, Jr., President of the National Academy of Engineering
9:00 – 9:30 Setting the Stage by Katy Börner, Indiana University

9:30 – 11:00

Case Studies
Government researchers and staff present computational models they have implemented to optimize internal processes and to improve agency decision making.

Jerome Glenn, The Millenium Project (Moderator)

– Richard Ikeda, NIH
– Guru Madhavan, NAS
– Martin Meltzer, CDC
– Venkatachalam “Ram” Ramaswamy, NOAA
11:00 – 11:30 Break
11:30 – 12:30 Keynote by Alex “Sandy” Pentland, MIT
12:30 – 1:30 Lunch
1:30 – 2:00 Two-Minute Flash Talks by Leading Experts

2:00 – 3:00

Funding Opportunities
Government and private foundations discuss how they fund people, projects, and infrastructure in support of R&D on validated and trusted STI models and standards.

Susan Fitzpatrick, James S. McDonnell Foundation (Moderator)
– Maryann Feldman, NSF
– Stephen Marcus, NIH
– Riq Parra, Air Force Office of Scientific Research
– Daniel Goroff, SLOAN

3:00 – 4:30

Models of Innovation
Academic experts from different disciplines discuss diverse approaches to model the birth, diffusion, and adoption of innovations in science and technology. Temporal dynamics, diffusion trajectories, and the impact of interventions are covered.

Richard B. Freeman, Harvard University (Moderator)
– Fiona E. Murray, MIT
– John Walsh, Georgia Tech
– Lynne Zucker, UCLA
– William B. Rouse, Stevens Institute of Technology
4:30 – 5:00 Break

5:00 – 6:30

Models of STI
Researchers present models that help us understand the inner working of STI and/or that aim to address the needs of science policy makers.

Staša Milojević, Indiana University (Moderator)
– Kaye G. Husbands Fealing, Georgia Tech
– Daniel McFarland, Stanford University
– Petra Ahrweiler, EA of Technology and Innovation Assessment GmbH, Germany
– Ben Shneiderman, University of Maryland
6:30 Adjourn


18 May


Wednesday May 18th

7:30 – 8:00 Breakfast

8:00 – 9:30

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.

Katy Börner, Indiana University (Moderator)
– James Onken, NIH
– Richard Freeman, Harvard University
– Nachum Shacham, PayPal
– Grace Peng, NIH
9:30 – 10:00 Break

10:00 – 11:30

Models of Science
Exactly how can models of science inform decision making in academia, government, and industry? Leading experts present their models and discuss limitations to predictability.

James Evans, The University of Chicago (Moderator)
– Brian Uzzi, Northwestern University
– Santo Fortunato, Aalto University, Finland
– Roberta Sinatra, Central European University, Hungary & Northeastern University
– Staša Milojević, Indiana University

11:30 – 12:30

Policy Issues
Hear first-hand from policy makers the types of issues they are dealing with and what kinds of models and model results would help them to be informed decision-makers.

Caroline Wagner, Ohio State University (Moderator)
– Bill Valdez, The Consultants International Group
– Uri Wilensky, Northwestern University
– Kevin Finneran, National Academies of Science
12:30 – 1:30 Lunch
1:30 – 2:00 Two-Minute Flash Talks by Leading Experts
2:00 – 3:00 Keynote by Dame Wendy Hall, University of Southampton, UK
3:00 -3:30 Break

3:30 – 5:00

Models of Science & Innovation
Learn how models of science and innovation can improve decision making and how computer simulations can help understand the impact of (policy) decisions on future developments.

Uri Wilensky, Northwestern University (Moderator)
– Carl Bergstrom, University of Washington
– James Evans, University of Chicago
– Mark Gerstein, Yale University
5:00 – 5:30 Closing Remarks and Next Steps
5:30  Adjourn