Learn to Code

Ekaterina (Kat) Fedorova from MIT EECS joins us to discuss strategic learning in recommender systems—what happens when users collectively coordinate to game recommendation algorithms. Kat's research reveals surprising findings: algorithmic "protest movements" can paradoxically he ...  Show more

Anas Buhayh discusses multi-stakeholder fairness in recommender systems and the S'mores framework—a simulation allowing users to choose between mainstream and niche algorithms. His research shows specialized recommenders improve utility for niche users while raising questions abo ...  Show more

Command line heroes are software engineers, developers, programmers, systems administrators—coders. That variety in coding careers is almost as varied as the paths coders take to land their jobs.  Saron Yitbarek and Clive Thompson start the season by exploring some ways coders st ...  Show more

In this episode, I'm joined by Peter Kuperman, CEO & Founder of Hatch Coding, for an enlightening conversation where we debunk common misconceptions about teaching coding, like who should teach it, who should learn it, and what role AI should play. You'll also hear strategies for ...  Show more

Colleen is a military spouse, mother of three, and taught herself how to code over a number of years. She learned to code and became a freelance developer with little time, little money, and a lot of patience. She tells us how she did it, and how you can do it too. Show Links Dev ...  Show more

Jesse Weigel pivoted into a new tech career under a unique combination of circumstances – a growing family, a curiosity for coding, and a friend with a job opportunity. Even without formal training, Jesse was able to teach himself to code, leave his job in the restaurant industry ...  Show more