Portfolio Analytics

Webinar Series on Portfolio Analytics – Tools for R&D Decision Making

Federal R&D agencies need effective tools for analysis of past investments and for placement of future investments. Such tools are often covered under the umbrella of “portfolio analytics.” This webinar series will feature needs, strategies, and tools used by several federal agencies to assess the impacts and results of past R&D investments; to identify trends and potential areas of collaboration; and to support strategic decision making for long-term funding requests.  A perspective from academia will also be provided.  Presenters will demonstrate the types of data needed for effective tools and examples of the questions being answered by these tools.

Table of Contents

• Webinar 1
• Webinar 2

Webinar 1

August 11, 2020, 2:00  – 3:00 pm
Dr. George Santangelo, Director, Office of Portfolio Analysis, National Institutes of Health

Webinar 2

Modeling and Visualizing Science and Technology Developments

August 19, 2020, 11:00 am – 12:00 pm

Abstract

In the information age, the ability to read and make data visualizations is as important as the ability to read and write. This talk introduces a theoretical data visualization framework (DVL) meant to empower anyone to systematically render data into insights using temporal, geospatial, topical, and network analyses and visualizations. Exemplarily, the DVL is applied to

• Map science and technology, see interactive data visualizations from the Places & Spaces: Mapping Science exhibit (http://scimaps.org) and recent PNAS special issue on Modeling and Visualizing Science and Technology Developments (https://www.pnas.org/modeling).
• Teach Visual Analytics (https://visanalytics.cns.iu.edu) to students around the globe.

References

• Börner, Katy, Andreas Bueckle, and Michael Ginda. 2019. Data visualization literacy: Definitions, conceptual frameworks, exercises, and assessments. PNAS, 116 (6) 1857-1864.
• Börner, Katy. 2015. Atlas of Knowledge: Anyone Can Map. Cambridge, MA: The MIT Press.
• Börner, Katy. 2010. Atlas of Science: Visualizing What We Know. Cambridge, MA: The MIT Press.

Bio

KATY BÖRNER is the Victor H. Yngve Distinguished Professor of Engineering and Information Science in the Departments of Intelligent Systems Engineering and Information Science, School of Informatics, Computing, and Engineering; core faculty of the Cognitive Science Program; and founding director of the Cyberinfrastructure for Network Science Center (http://cns.iu.edu)—all at Indiana University in Bloomington, Indiana.

She is also a visiting professor at the Royal Netherlands Academy of Arts and Sciences (KNAW) in the Netherlands; Visiting Professor and Mercator Fellow in User-Centered Social Media, Department of Computer Science and Applied Cognitive Science, University of Duisburg-Essen, Duisburg, Germany; and Humboldt Fellow, Technology/Media Centre, Dresden University of Technology, Germany.  Börner became a Fellow of the American Association for the Advancement of Science (AAAS) in 2012, a Humboldt Research Fellow in 2017, and an Association for Computing Machinery (ACM) Fellow in 2018. Since 2005, she serves as a curator of the international Places & Spaces: Mapping Science exhibit (http://scimaps.org).

Börner’s research focuses on the development of data analysis and visualization techniques for information access, understanding, and management. She is particularly interested in the formalization, measurement, and systematic improvement of people’s data visualization literacy; the study of the structure and evolution of scientific disciplines; the analysis and visualization of online activity; and the development of cyberinfrastructures for large-scale scientific collaboration and computation.

She holds an MS in electrical engineering from the University of Technology in Leipzig, and a PhD in computer science from the University of Kaiserslautern.