In this podcast the author explains a paper to me, your host, Professor Sune Lehmann (https://sunelehmann.com). The participants are authors of a paper in network science or data science. Sometimes I feature a group of co-authors! The intended audience is PhD students, PostDocs and other scientists. The idea is to start with a bit about the paper's author, the idea for the paper. Then talk about the research itself. And we’ll end by gossiping about the reviewing process, etc. The whole thing is based on the idea that papers are so formal. And that when two people talk to each other informally, it’s often more fun – and tends to get ideas across more effectively.
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episode 1: Tina Eliassi-Rad - Dark Side of the Moon
It's a new season! And LazyPod is back with a strong line-up of guests.
Today on the pod, for the inaugural episode of season 2, is Tina Eliassi-Rad.
Tina is an incredibly accomplished scientist. She is a Professor of Computer Science at Northeastern University. She is also a core faculty member at Northeastern's Network Science Institute and the Institute for Experiential AI. In addition, she is an external faculty member at the Santa Fe Institute and the Vermont Complex Systems Center. Her research is at the intersection of data mining, machine learning, and network science.
She has over 100 peer-reviewed publications (including a few best paper and best paper runner-up awards); and has given over 200 invited talks and 14 tutorials. Tina's work has been applied to personalized search on the World-Wide Web, statistical indices of large-scale scientific simulation data, fraud detection, mobile ad targeting, cyber situational awareness, drug discovery, democracy and online discourse, and ethics in machine learning.
Tina received an Outstanding Mentor Award from the U.S. Department of Energy's Office of Science in 2010, became an ISI Foundation Fellow in 2019, was named one of the 100 Brilliant Women in AI Ethics in 2021, and received Northeastern University's Excellence in Research and Creative Activity Award in 2022.
In this wide-ranging conversation, we talk about Tina's life, career and her paper "The Why, How, and When of Representations for Complex Systems" (1).
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References:
(1) Leo Torres, Ann Sizemore Blevins, Danielle S. Bassett, Tina Eliassi-Rad. The Why, How, and When of Representations for Complex Systems. SIAM Review (SIREV), 63(3): 435-485, 2021.