Jaime Snyder was awarded a National Science Foundation (NSF) Faculty Early Career Development Program (CAREER) award totaling $549,966. In her 5-year critical design study, titled Visually Encoding Personal Data for Vulnerable Populations, she will look at alternatives to the design of visualizations of personal data for vulnerable populations. NSF CAREER awards are given to early-career faculty who have the potential to serve as academic role models in research and education, and to lead advances in the mission of their department or organization. Congratulations, Jaime!
Jaime Snyder also had the following two papers accepted to conferences:
- “Visually Encoding the Lived Experience of Bipolar Disorder” was accepted to CHI 2019, along with Elizabeth Murnane, Caitlin Lustig, and Stephen Voida.
- “Spanning the Boundaries of Data Visualization Work: An Exploration of Functional Affordances and Disciplinary Values” was accepted to iConference 2019, along with Katie Shilton.
The Value Sensitive Design Lab and the Tech Policy Lab have a new publication titled, Data statements for natural language processing: Toward mitigating system bias and enabling better science. This work with Emily Bender in computational linguistics and Batya Friedman proposes data statements as a schema and professional practice for mitigating bias in natural language processing systems. The piece appears in Transactions of the Association of Computational Linguistics.
Katherine Cross was interviewed for an article in The Verge titled, Katherine Cross on moderating online gaming communities and artificial intelligence.