Cracking the Cold Start Problem

In this episode of Data Skeptic, we dive deep into the technical foundations of building modern recommender systems. Unlike traditional machine learni...

Designing Recommender Systems for Digital Humanities

In this episode of Data Skeptic, we explore the fascinating intersection of recommender systems and digital humanities with guest Florian Atzenhofer-B...

DataRec Library for Reproducible in Recommend Systems

In this episode of Data Skeptic's Recommender Systems series, host Kyle Polich explores DataRec, a new Python library designed to bring reproducibilit...

Shilling Attacks on Recommender Systems

In this episode of Data Skeptic's Recommender Systems series, Kyle sits down with Aditya Chichani, a senior machine learning engineer at Walmart, to e...

Music Playlist Recommendations

In this episode, Rebecca Salganik, a PhD student at the University of Rochester with a background in vocal performance and composition, discusses her...

Bypassing the Popularity Bias

Sustainable Recommender Systems for Tourism

In this episode, we speak with Ashmi Banerjee, a doctoral candidate at the Technical University of Munich, about her pioneering research on AI-powered...

Interpretable Real Estate Recommendations

In this episode of Data Skeptic's Recommender Systems series, host Kyle Polich interviews Dr. Kunal Mukherjee, a postdoctoral research associate at Vi...

Why Am I Seeing This?

In this episode of Data Skeptic, we explore the challenges of studying social media recommender systems when exposure data isn't accessible. Our guest...

Eco-aware GNN Recommenders

In this episode of Data Skeptic, we dive into eco-friendly AI with Antonio Purificato, a PhD student from Sapienza University of Rome. Antonio discuss...

Networks and Recommender Systems

Kyle reveals the next season's topic will be "Recommender Systems".  Asaf shares insights on how network science contributes to the recommender system...

Network of Past Guests Collaborations

Kyle and Asaf discuss a project in which we link former guests of the podcast based on their co-authorship of academic papers. 

The Network Diversion Problem

In this episode, Professor Pål Grønås Drange from the University of Bergen, introduces the field of Parameterized Complexity - a powerful framework fo...

Complex Dynamic in Networks

In this episode, we learn why simply analyzing the structure of a network is not enough, and how the dynamics - the actual mechanisms of interaction b...

Github Network Analysis

In this episode we'll discuss how to use Github data as a network to extract insights about teamwork.
Our guest, Gabriel Ramirez, manager of the...

Networks and Complexity

In this episode, Kyle does an overview of the intersection of graph theory and computational complexity theory.  In complexity theory, we are about th...

Actantial Networks

In this episode, listeners will learn about Actantial Networks—graph-based representations of narratives where nodes are actors (such as people, insti...

Graphs for Causal AI

How to build artificial intelligence systems that understand cause and effect, moving beyond simple correlations?
As we all know, correlation is...

Power Networks

Unveiling Graph Datasets

Network Manipulation

In this episode we talk with Manita Pote, a PhD student at Indiana University Bloomington, specializing in online trust and safety, with a focus on de...

The Small World Hypothesis

Kyle discusses the history and proof for the small world hypothesis.

Thinking in Networks

Kyle asks Asaf questions about the new network science course he is now teaching.  The conversation delves into topics such as contact tracing, tools...

Fraud Networks

In this episode we talk with Bavo DC Campo, a data scientist and statistician, who shares his expertise on the intersection of actuarial science, frau...

Criminal Networks

In this episode we talk with Justin Wang Ngai Yeung, a PhD candidate at the Network Science Institute at Northeastern University in London, who explor...

Graph Bugs

In this episode today's guest is Celine Wüst, a master's student at ETH Zurich specializing in secure and reliable systems, shares her work on automat...

Organizational Network Analysis

In this episode, Gabriel Petrescu, an organizational network analyst, discusses how network science can provide deep insights into organizational stru...

Organizational Networks

Is it better to have your work team fully connected or sparsely connected?

In this episode we'll try to answer this question and more wi...

Networks of the Mind

A man goes into a bar… This is the beginning of a riddle that our guest, Yoed Kennet, an assistant professor at the Technion's Faculty of Data and Dec...

LLMs and Graphs Synergy

In this episode, Garima Agrawal, a senior researcher and AI consultant, brings her years of experience in data science and artificial intelligence. Li...

A Network of Networks

In this episode, Bnaya Gross, a Fulbright postdoctoral fellow at the Center for Complex Network Research at Northwestern University, explores the tran...

Auditing LLMs and Twitter

Our guests, Erwan Le Merrer and Gilles Tredan, are long-time collaborators in graph theory and distributed systems. They share their expertise on appl...

Fraud Detection with Graphs

In this episode, Šimon Mandlík, a PhD candidate at the Czech Technical University will talk with us about leveraging machine learning and graph-based...

Optimizing Supply Chains with GNN

Thibaut Vidal, a professor at Polytechnique Montreal, specializes in leveraging advanced algorithms and machine learning to optimize supply chain oper...

The Mystery Behind Large Graphs

Our guest in this episode is David Tench, a Grace Hopper postdoctoral fellow at Lawrence Berkeley National Labs, who specializes in scalable graph alg...

Customizing a Graph Solution

In this episode, Dave Bechberger, principal Graph Architect at AWS and author of "Graph Databases in Action", brings deep insights into the field of g...

Graph Transformations

In this episode, Adam Machowczyk, a PhD student at the University of Leicester, specializes in graph rewriting and its intersection with machine learn...

Networks for AB Testing

In this episode, the data scientist Wentao Su shares his experience in AB testing on social media platforms like LinkedIn and TikTok.
We talk ab...

Lessons from eGamer Networks

Alex Bisberg, a PhD candidate at the University of Southern California, specializes in network science and game analytics, with a focus on understandi...

Github Collaboration Network

In this episode we discuss the GitHub Collaboration Network with Behnaz Moradi-Jamei, assistant professor at James Madison University.  As a network s...