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Modeling and Visualizing Science and Technology Developments

 December 4-5, 2017; Irvine, CA
 Organized by Katy Börner, H. Eugene Stanley, William Rouse and Paul Trunfio



Overview

This colloquium was held in Irvine, CA on December 4-5, 2017.

This colloquium brought 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? Largeā€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.

Videos of the talks are available on the Sackler YouTube Channel Here.

Agenda

Monday, December 4

Session I - Rankings and the Efficiency of Institutions

Welcome Remarks / Overview, H. Eugene Stanley, Boston University

Science of Science: From Credit Sharing to Careers in Science, Albert-László Barabási, Center of Complex Networks Research, Northeastern University and Division of Network Medicine, Harvard University

How Cascades Grow, Lada Adamic, Facebook Inc.

Urban Computing: Mobility and Migration, Marta González, Massachusetts Institute of Technology

Assessing the Return on Investment from Federal Funding of Food Safety Research: A New Bibliometric Approach, Kaye Husbands Fealing, Georgia Institute of Technology

Bloodlines in Science: The Link between an Academic Advisor’s Scholar Pursuits and their Students’ Pursuits and Performance, Brian Uzzi, Northwestern University

America’s Research Universities: Is the Enterprise Model Sustainable?, John V. Lombardi, The Center for Measuring University Performance

Session II - Higher Education and the S&T Job Market

Overview - Modeling and Visualizing the Interplay of (Higher) Education, Jobs, and S&T Progress, Katy Börner, Indiana University

Modeling Employment Projections at the Bureau of Labor Statistics, Wendy L. Martinez, U.S. Bureau of Labor Statistics

Learning in Professional Networks: Effect of social capital, pathways, and artifact creation, Michael Richey, The Boeing Company and George Siemens, University of Texas at Arlington

Computational Modeling of Research Universities: Explorations of Alternative Futures, Possible Bubbles & Strategic Scenarios, William Rouse, Stevens Institute of Technology

Dynamics of Academic Workforce: Production and Attrition of Researchers and Outcomes for Science as a Whole, Stasa Milojevic, Indiana University

MOOC’s may be declared dead, but visualized as a complex system, they are thriving!, Rob Rubin, Microsoft’s Learning Experience Team (LeX)

Modeling the Evolution of Institutional Change, David Krakauer, Santa Fe Institute

Tuesday, December 5

Session III - Innovation Diffusion and Technology Adoption

Overview, William Rouse, Stevens Institute of Technology

Visualization of Big Data Computational Models: Connecting People to Science, Donna Cox, University of Illinois

Modeling New Technological Capabilities with Large-Scale Data, Jeff Alstott, The Intelligence Advanced Research Projects Activity

Human-Centered Models of Twin-Win Research Successes, Ben Shneiderman, University of Maryland

From What-Is to What-If: Visualizing the Complex Structures of Converging Business Ecosystems, Rahul C. Basole, Georgia Institute of Technology

Innovation-Driven Entrepreneurial Ecosystems: A New Agenda for Measurement, Policy and Action, Scott Stern, Massachusetts Institute of Technology

Collective Learning in Society and the Economy, Cesar Hidalgo, Massachusetts Institute of Technology

Session IV - Modeling Needs, Infrastructures, Standards

Overview, Paul Trunfio, Boston University

Biocomplexity Institute of Virginia Tech, New Opportunities to Observe and Measure Innovation, Sallie Keller, Professor of Statistics and Director, Social and Decision Analytics Laboratory

Systems Architecture to Support Planning and Preparedness in Public Health, Guru Madhavan, National Academy of Sciences

Sharing Knowledge without Sharing Data: Platforms for Resolving the False Dichotomy Between Privacy and Utility of Information, Azer Bestavros, Boston University

Measuring & Visualizing the Collaborative Infrastructure of University Science, Jason Owen-Smith, Institute for Research on Innovation & Science, University of Michigan

Concluding Remarks, Katy Börner

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