Networks and Complexity

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

What does it mean to solve a problem in our universe? That's a trickier question than you might think, with some fairly high-stakes ramifications in the worlds of computing and even philosophy. In this episode of Stuff to Blow Your Mind, Robert and Joe explore the inherent log ...

We’ve all been there, a project starts off simple, but quickly becomes more complex. In this episode, we are joined by Sarah Drasner to talk with us about how to deal with complex codebases and systems. Guests: Sarah Drasner - @sarah_edo Panelists: Ryan Burgess - @burgessdryan Je ...  Show more

In this episode, we explore foundational algorithms and data structures that every developer and computer science enthusiast should know. Covering everything from Binary Search Trees (BSTs) to advanced concepts like Dynamic Programming and Greedy Algorithms, this episode is packe ...  Show more

Today Corey talks with Pranav Maheshwari from The Graph, an indexing protocol for querying networks like Ethereum and IPFS. We'll dive deep into how The Graph works, what it aims to solve, what complications it has faced as it has scaled out to its current state, and where it exp ...  Show more