Convergence on Tap!
Join us March 31, 2021 for
NEREID: Convergence on Tap!
7:30pm EDT/4:30pm PDT
The event is free but you do need to register.
Presenting a moderated panel discussion followed by time for open informal conversation.
Our panel includes:
Inna Kouper is a research scientist at the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington. She studies emerging technologies and data practices and works on projects that advance open science and data sharing. She has expertise in information behavior, computer-mediated communication, and data management. Dr. Kouper has a PhD in information science from Indiana University and a PhD in sociology from the Institute of Sociology, Moscow, Russia. Her latest project "Extending data curation to interdisciplinary and highly collaborative research" examines data practices of interdisciplinary research teams and develops recommendations to help these teams manage their data. https://luddy.indiana.edu/contact/profile/?profile_id=42
Ryan McGranaghan is the Principal Data Scientist and Aerospace Engineering Scientist at ASTRA Associates in Boulder, CO, where he leads data science and machine learning efforts to improve our understanding of the Earth’s space environment. Ryan began this role after completing a Jack Eddy Living With a Star Postdoctoral Fellowship at the NASA Jet Propulsion Laboratory, during which he studied the Earth’s and solar system planets’ interactions with the Sun. Ryan takes a multi-disciplinary (what he terms ‘antidisciplinary’) approach to the study of space, bringing together traditional space physics with innovation from the field of data science. He has embraced antidisciplinary and convergent approaches to the study of the world around us as the Principal Investigator for awards across NASA, the Department of Defense (including DARPA), and the National Science Foundation. He is currently the PI for the Convergence Hub for the Exploration of Space Science (CHESS) NSF project, the Predictive Risk Investigation SysteM (PRISM) for Multi-layer Dynamic Interconnection Analysis NSF project, and a NASA Early Career Investigator Program - each of which are solving grand challenges in the Earth and Space Sciences through the convergence of fundamental, data, and team sciences. His latest passion has been a new podcast called Origins that examines the pivotal moments across the lives of thought-leaders from science, art, engineering, and design.
Attila Varga is a postdoctoral fellow at the Center for Complex Networks and Systems Research at Indiana University, and he holds a Ph.D. degree in Sociology from the University of Arizona. Attila’s interests lie at the crossroads of complex networks, scientometrics, and computational social science. His most recent work is focused on the historical evolution of citation networks and the application of machine learning approaches to bibliometric data; the latter team project is currently modeling population dynamics of scientists around research fields using graph embedding methods. Attila’s research has been published in PLOS One, PNAS, and Scientometrics.
https://scholar.google.com/citations?user=UhTTLBkAAAAJ&hl=en
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