Agenda

 

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

Monday May 16th

6:00 PM Welcome Reception

Tues

May 17

2016

Tuesday May 17th

8:00 – 8:30 Breakfast
8:30 – 9:00 Welcome and Opening Remarks
9:00 – 9:30 Setting the Stage by Katy Börner
9:30 – 11:00 Case Studies (Moderated by Jeffrey Glenn)
Government researchers and staff present computational models they have implemented to optimize internal processes and to improve agency decision making.

– Richard Ikeda, NIH
– Martin Meltzer, CDC
– Rick Spinrad, NOAA
11:00 – 11:30 Break
11:30 – 12:30 Keynote
12:30 – 1:30 Lunch
1:30 – 2:00 Two-Minute Flash Talks by Leading Experts
2:00 – 3:00 Funding Opportunities Panel (Moderated by Susan Fitzpatrick)
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.

– Maryann Feldman, NSF
– Stephen Marcus, NIH
– Daniel Goroff, SLOAN
3:00 – 4:30 Models of Innovation (Moderated by Richard Freeman)
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.

– 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 (Moderated by Staša Milojević)
Researchers present models that help us understand the inner working of STI and/or that aim to address the needs of science policy makers.

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

Wed

18 May

2016

Wednesday May 18th

7:30 – 8:00 Breakfast
8:00 – 9:30 Data, Algorithms, and Infrastructure Panel (Moderated by Katy Börner)
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.

– Jason Owen Smith, University of Michigan
– Richard Freeman, Harvard University
– Nachum Shacha, PayPal
9:30 – 10:00 Break
10:00 – 11:30 Models of Science (Moderated by James Evans)
Exactly how can models of science inform decision making in academia, government, and industry? Leading experts present their models and discuss limitations to predictability.

– Brian Uzzi, Northwestern University
– Santo Fortunato, Aalto University, Finland
– Roberta Sinatra, Northeastern University
– Staša Milojević, Indiana University
11:30-12:30 Policy Issues Panel (Moderated by Caroline Wagner)
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.

– Kei Koizumi, Office of Science and Technology Policy (OSTP)
– Bill Valdez, The Consultants International Group
– Uri Wilensky, Northwestern University
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
3:00-4:30 Models of Science & Innovation (Moderated by Uri Wilensky)
Learn how models of science and innovation can improve decision making and how computer simulations that help understand the impact of (policy) decisions on future developments.

– Carl Bergstrom, University of Washington
– James Evans, University of Chicago
– Mark Gerstein, Yale University
4:30 – 5:00 Break
5:00 – 6:00 Grand Challenges for STI Research, Development, and Policy Making Panel (Moderated by Maryann Feldman)
This panel features brief presentations by academic, government, and industry experts. It aims to identify key challenges towards the effective and trusted usage of computational models in STI decision making.
6:00 – 6:30 Closing Remarks
6:30 Adjourn