The Data Skeptic Podcast features interviews and discussion of topics related to data science, stati
In this episode, we learn why simply analyzing the structure of a network is not enough, and how the
In this episode we'll discuss how to use Github data as a network to extract insights about teamwork
In this episode, Kyle does an overview of the intersection of graph theory and computational complex
In this episode, listeners will learn about Actantial Networks—graph-based representations of narrat
How to build artificial intelligence systems that understand cause and effect, moving beyond simple
In this episode we talk with Manita Pote, a PhD student at Indiana University Bloomington, specializ
Kyle discusses the history and proof for the small world hypothesis.
Kyle asks Asaf questions about the new network science course he is now teaching. The conversation
In this episode we talk with Bavo DC Campo, a data scientist and statistician, who shares his expert
In this episode we talk with Justin Wang Ngai Yeung, a PhD candidate at the Network Science Institut
In this episode today’s guest is Celine Wüst, a master’s student at ETH Zurich specializing in secur
In this episode, Gabriel Petrescu, an organizational network analyst, discusses how network science
Is it better to have your work team fully connected or sparsely connected? In this episode we'll tr
A man goes into a bar… This is the beginning of a riddle that our guest, Yoed Kennet, an assistant p
In this episode, Garima Agrawal, a senior researcher and AI consultant, brings her years of experien
In this episode, Bnaya Gross, a Fulbright postdoctoral fellow at the Center for Complex Network Rese
Our guests, Erwan Le Merrer and Gilles Tredan, are long-time collaborators in graph theory and distr
In this episode, Šimon Mandlík, a PhD candidate at the Czech Technical University will talk with us
