Interviewed about the Health Data Exploration Project
I got filmed talking about my research at the Computing Community Consoritum (CCC) Symposium on Computing Research in May 2016.
Matthew Bietz
RWJF gives $1.9M to Health Data Exploration project
I am very excited to share that Kevin Patrick (UCSD/Calit2) and I will be leading the Health Data Exploration project’s new efforts to advance the use of of personal data for public health research.
Health Data Exploration Report Published
Our report examines attitudes towards personal health data from the individuals who track personal health data, the companies involved in self-tracking devices, apps, or services, and the researchers who might use the data.
Presentation at 4S 2013
“Personal Genetic Code: Algorithmic Living, Genomics, and the Quantified Self” at the 4S 2013 Annual Meeting.
Book Chapter Published
My chapter titled “Distributed Work: Working and Learning at a Distance” has been published in Technology-Enhanced Professional Learning.
Book Chapter Accepted
My chapter titled “Distributed Work: Working and Learning at a Distance” has been accepted for publication.
Facebook revives gay search
I remember way-back-when, in the early days of Facebook, it used to be possible to run searches based on personal attributes. Anyone who listed themselves as a woman interested in women was easy to find. And then, I think in part due to complaints from users and privacy advocates, that functionality disappeared (or at least was a lot harder to access). Now it’s back with a vengeance.
Updated Site Design
I’m sure that you, as a frequent visitor to MatthewBietz.org, have noticed that we’ve got a new (simpler) look. I’d been planning on updating things around here, but some lovely hackers have forced my hand. For the moment I’m using a default theme, but hope to customize it soon when I get a few spare moments.
2 Papers Accepted to CSCW 2013
Two papers have been accepted to the CSCW 2013 conference: “The work of developing cyberinfrastructure middleware projects” and “Globally distributed system developers: Their trust expectations and processes.”
Workshops on Data-Intensive Collaboration at CSCW 2012
Science and engineering are facing huge increases in data volumes and shifts toward more data-intensive work. The amount of data being produced is rapidly increasing with the development of new sensing and computer technologies, increasing use of computational simulation, and a move toward larger-scale and more interdisciplinary projects. Two workshops at CSCW will explore data-intensive collaboration from sociotechnical perspectives.