Katy Börner

Data Analytics

Topic: Data Analytics in Support of Effective Workforce Training

Tens of millions of jobs are being transformed by artificial intelligence (AI) and automation. Rapid progress in science and technology and continuously shifting workforce needs demand more efficient education and training.
The first part of the talk presents visualizations that aim to communicate the dynamic skill (mis-)alignment between academic push, industry pull, and educational offerings. The work uses millions of publications, course syllabi, and job advertisements to discover responsiveness in the academic, educational, and industrial system. Results reveal the increasing importance of uniquely human skills, such as communication, negotiation, and persuasion.
The second part of the talk showcases how learning analytics can be used to optimize workforce training. Millions of logged events are analyzed to understand and communicate learners’ engagement, performance, and trajectories in online courses developed by MITxPro and Indiana University, e.g., https://visanalytics.cns.iu.edu.


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.

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.