Events & News
CS Colloquium
| Category | Lecture |
| Date | Tuesday, October 7, 2014 |
| Time | 11:00 am |
| Concludes | 12:00 pm |
| Location | Gould-Simpson 906 |
| Details | Coffee and light refreshments will be served at 11:45am in Gould-Simpson 906. Faculty Host: Stephen Kobourov |
| Speaker | Katy Borner |
| Affiliation | Indiana University |
Designing Multi-Scale Maps of Science and Technology
Recent developments in data mining, information visualization, and science of science studies make it possible to study science and technology (S&T) at multiple levels using a systems science approach. At the micro-level, the impact of single individuals, specific works, or legal frameworks can be examined. At the meso-level, the expertise profiles of institutions can be compared or the trajectories of student cohorts can be modeled. The macro-level provides a 10,000 foot view of the continuously evolving geospatial and topical landscape of science and technology and the global import/export activities, innovation diffusion, and brain circulation unfolding over both spaces. Relevant works and maps are featured in the international Places & Spaces: Mapping Science exhibit and the Atlas of Science.
The first part of this talk will present research results and case studies that aim to increase our scientific understanding of the inner workings of S&T. The second part discusses algorithms and tools applied to compute multi-scale maps of scholarly activity. The third part introduces a data visualization framework that aims to empower many to design insightful visualizations.
Relevant Links:
Cyberinfrastructure for Network Science Center: http://cns.iu.edu
Information Visualization MOOC: http://ivmooc.cns.iu.edu
Plug-and-Play Macroscope Tools: http://cishell.org
Places & Spaces: Mapping Science exhibit (http://scimaps.org)
References:
(1)Börner, Katy. 2010. Atlas of Science: Visualizing What We Know. The MIT Press.
(2)Scharnhorst, Andrea, Katy Börner, and Peter van den Besselaar, eds. 2012. Models of Science Dynamics: Encounters between Complexity Theory and Information Science. Springer Verlag.
(3)Börner, Katy, and David E. Polley. 2014. Visual Insights: A Practical Guide to Making Sense of Data. Cambridge, MA: The MIT Press.
Biography
Katy Börner is the Victor H. Yngve Professor of Information Science in the Department of Information and Library Science, School of Informatics and Computing, Adjunct Professor at the Department of Statistics in the College of Arts and Sciences, Core Faculty of Cognitive Science, Research Affiliate of the Center for Complex Networks and Systems Research and Biocomplexity Institute, Member of the Advanced Visualization Laboratory, Leader of the Information Visualization Lab, and Founding Director of the Cyberinfrastructure for Network Science Center at Indiana University in Bloomington, IN and Visiting Professor at the Royal Netherlands Academy of Arts and Sciences (KNAW) in The Netherlands. She is a curator of the international Places & Spaces: Mapping Science exhibit. She holds a MS in Electrical Engineering from the University of Technology in Leipzig, 1991 and a Ph.D. in Computer Science from the University of Kaiserslautern, 1997. She became an American Association for the Advancement of Science (AAAS) Fellow in 2012. In Spring 2014, she spent her sabbatical as a Science, Technology and Innovation Visiting Research Fellow at OECD in Paris.