Modeling and Visualizing Science and Technology Developments


December 4-5, 2017

Meeting Place

Beckman Center

100 Academy

Irvine, California 92617


group photo

Meeting Place

This colloquium brings together researchers and practitioners from multiple disciplines to present, discuss, and advance computational models and visualizations of science and technology (S&T).

View more details on the Sackler Colloquia website.
Extended versions of the best presentations from the Sackler / NAS colloquium were published in a special issue on “Modeling and Visualizing Science and Technology Developments” in the Proceedings of the National Academies of Science (2018), available at https://www.pnas.org/modeling.

Organized By

Katy Börner, Victor H. Yngve Distinguished Professor of Information Science and Engineering

Indiana University


William Rouse, Professor Emeritus

Georgia Institute of Tech


H. Eugene Stanley, William Fairfield Warren Distinguished Professor

Boston University


Paul Trunfio, Senior Research Scientist

Boston University



This colloquium brings together researchers and practitioners from multiple disciplines to present, discuss, and advance computational models and visualizations of science and technology (S&T). Existing computational models are being applied by academia, government, and industry to explore questions such as: What jobs will exist in ten years and what career paths lead to success? Which types of institutions will likely be most innovative in the future? How will the higher education cost bubble burst affect these institutions? What funding strategies have the highest return on investment? How will changing demographics, alternative economic growth trajectories, and relationships among nations impact answers to these and other questions? Large‐scale datasets (e.g., publications, patents, funding, clinical trials, stock market, social media data) can now be utilized to simulate the structure and evolution of S&T. Advances in computational power have created the possibility of implementing scalable, empirically validated computational models. However, because the databases are massive and multidimensional, both the data and the models tend to exceed human comprehension. How can advances in data visualizations be effectively employed to communicate the data, the models, and the model results to diverse stakeholder groups? Who will be the users of next generation models and visualizations and what decisions will they be addressing.


Monday, December 4, 2017

7:30am - 11:50am Session I: Rankings and the Efficiency of Institutions
Organizer: H. Eugene (Gene) Stanley
  • Albert-László Barabási, Center of Complex Networks Research, Northeastern University and Division of Network Medicine, Harvard University, “Science of Science: From Credit Sharing to Careers in Science”
    | Slides
  • Lada Adamic, Facebook Inc. “How Cascades Grow”.
  • Marta González, Massachusetts Institute of Technology, “Urban Computing: Mobility and Migration”
    Video | Slides
  • Kaye Husbands Fealing, Georgia Institute of Technology, “Assessing the Return on Investment from Federal Funding of Food Safety Research: A New Bibliometric Approach”
    Video |Slides
  • Brian Uzzi, Northwestern University, “Bloodlines in Science: The Link between an Academic Advisor’s Scholar Pursuits and their Students’ Pursuits and Performance”
    Video | Slides
  • John V. Lombardi, The Center for Measuring University Performance “America's Research Universities: Is the Enterprise Model Sustainable?”
    Video | Slides
1:00pm - 5:30pm Session II: Higher Education and the S&T Job Market
Organizer: Katy Börner
  • Wendy L. Martinez, U.S. Bureau of Labor Statistics, University of Texas at Arlington, “Modeling Employment Projections at the Bureau of Labor Statistics”
    Video | Slides
  • Michael Richey, The Boeing Company and George Siemens, “Learning in Professional Networks: Effect of Social Capital, Pathways, and Artifact Creation”.
  • William Rouse, Stevens Institute of Technology, “Computational Modeling of Research Universities: Explorations of Alternative Futures, Possible Bubbles & Strategic Scenarios”
    Videos | Slides
  • Staša Milojević, Indiana University, “Dynamics of Academic Workforce: Production and Attrition of Researchers and Outcomes for Science as a Whole”
  • Rob Rubin, Executive Director, “Internet of Learning Consortium; Director Learning Sciences, Microsoft’s Learning Experience Team (LeX)”
    Video |Slides
  • David Krakauer, Santa Fe Institute, “Modeling the Evolution of Institutional Change”

Tuesday, December 5, 2017

7:00am - 12:00pm Session III: Innovation Diffusion and Technology Adoption
Organizer: William Rouse
  • Donna Cox, University of Illinois, “Visualization of Big Data Computational Models: Connecting People to Science”
  • Jeff Alstott, The Intelligence Advanced Research Projects Activity (IARPA), “Modeling New Technological Capabilities with Large-Scale Data”
    Video | Slides
  • Ben Shneiderman, University of Maryland, “Human-Centered Models of Twin-Win Research Successes”
    Video | Slides
  • Rahul C. Basole, Georgia Institute of Technology, “From What-Is to What-If: Visualizing the Complex Structures of Converging Business Ecosystems”
    Video | Slides
  • Scott Stern, Massachusetts Institute of Technology, “Innovation-Driven Entrepreneurial Ecosystems: A New Agenda for Measurement, Policy and Action”
  • Cesar Hidalgo, Massachusetts Institute of Technology, “Collective Learning in Society and the Economy”
    Video | Slides
1:00pm - 4:30pm Session IV: Modeling Needs, Infrastructures, Standards
Organizer: Paul Trunfio
  • Sallie Keller, Professor of Statistics and Director, Social and Decision Analytics Laboratory, Biocomplexity Institute of Virginia Tech, “New Opportunities to Observe and Measure Innovation”
    Video | Slides
  • Guru Madhavan, National Academy of Sciences, “Systems Architecture to Support Planning and Preparedness in Public Health”
  • Video | Slides
  • Azer Bestavros, Boston University, “Sharing Knowledge without Sharing Data: Platforms for Resolving the False Dichotomy Between Privacy and Utility of Information”
    Video | Slides
  • Jason Owen-Smith, Institute for Research on Innovation & Science, University of Michigan, “Measuring & Visualizing the Collaborative Infrastructure of University Science”
    Video | Slides

Thank you to our generous sponsors: