Opinion Dynamics Models

In the final episode of our Recommender Systems season, we explore the growing questions of trust, manipulation, privacy, fairness, sustainability, and user control. From fake reviews and shilling attacks to explainable recommendations and user-selected algorithms, we look at wha ...  Show more

In part two of the Data Skeptic Recommender Systems season finale, Kyle asks a deceptively difficult question: what should recommender systems actually optimize for? Drawing on conversations from across the season, the episode explores engagement, filter bubbles, popularity bias, ...  Show more

Why do some companies become household names, while others flame out? How do certain memes go viral? And why do some social movements take off and spread, while others fizzle? Today on the show, we talk with sociologist <a href="https://www.asc.upenn.edu/people/faculty/damon-c ...

Why do some companies become household names, while others flame out? How do certain memes go viral? And why do some social movements take off and spread, while others fizzle? Today on the show, we revisit a favorite 2021 conversation with sociologist <a href="https://www.asc. ...

In this Ask a PST episode of the Scrum.org Community Podcast, guest host Lindsay Velecina is joined by Professional Scrum Trainer Dominik Maximini to answer listener questions about forecasting and release planning. Dominik shares practical insights on estimati ...

Modeling the real world using simulation