So, I won the NSF CAREER award. To say I’m excited about this would be an understatement — my first Ph.D student has support locked in, I get to actually do the work I’ve been building towards for years now, and we’re going to have a much better understanding of how recommender systems (mis)behave in response to their individual and social human contexts.
Blog Articles 1–5
Over the years of teaching and research, I have gradually standardized the notation that I use for describing the math of recommender systems. This is the notation that I use in my classes, Joe Konstan and I have adopted for our MOOC, and that I use in most of my research papers. (And thanks to Joe for helping revise it to its current form.)
Fabric posters are great. You don't need a clumsy poster tube, just fold it up and put it in your suitcase.
As you're hopefully well aware if you follow my Twitter, the end of this month will bring the first Conference on Fairness, Accountability, and Transparency (FAT*). It's been an honor to be involved in some of the planning for this conference series; it is also a great honor to have two papers in the first edition. Algorithmic fairness is the main focus of my research agenda for the next several years.
Last year, I wrote up the software and hardware tools I use. I am still using a lot of that stack, so I thought this year I would just highlight the changes: