Recently, I had two papers accepted for publication an the 2016 ACM Conference on Supporting Group Work (GROUP). One is a full length paper about a long-term study of a “data-as-art” installation at Cornell. The other is a note length paper essentially arguing that machine learning and grounded theory have some deep, compelling resonances. While I played a primarily supporting role on both these, I’m excited about the arguments that each is making (and appreciative of the lead authors for involving me).