Author Archives: Kristin Burgard, MIDAS
As a community who supports data intensive research, you know that how we interact with data is ever evolving. Now, more than ever, data for good represents a diverse and interdisciplinary effort to engage, educate, and empower the world around us. Statistics in the Community (STATCOM), the Center for Education Design, Evaluation, and Research (CEDER), and the Community… Read More »
Video is being acquired at an alarming rate across domains, including social research, healthcare, entertainment, sporting and more. The ability to code this video—attribute certain properties, labels, and other annotations—in support of analytical domain-relevant questions is critical; otherwise, human coding is required. Human coding, however, is laborious, expensive, not repeatable, and, worse, often error prone. Video coding, an… Read More »
MIDAS Reproducibility Day Join MIDAS on Monday, September 14, 2020, from 2 pm to 5 pm (note: this is a new time), to virtually celebrate the exemplary work of U-M researchers, and attend presentations by the winners of the MIDAS Reproducibility Challenge. The keynote speaker, Beth Plale, director of the Data to Insight Center at Indiana University Bloomington, researches new… Read More »
Last week, the Michigan Institute for Data Science (MIDAS) announced the awardees of its COVID-19 data science grants. Seven interdisciplinary teams, chosen from 49 submissions, received funding for COVID-19 research. With data science methods at the core, these teams combat the pandemic in varied and creative ways, including better clinical decisions for in-patients, strategies to improve testing, data-driven guidance… Read More »
In June 2018, the World Economic Forum chose the Detroit region to pilot the concepts behind the integration of disparate mobility modes. MIDAS affiliated faculty, Danai Koutra and Aditi Misra, and fellow, Arya Farahi, made significant contributions to the forum’s recent publication “Digitizing and Transforming Mobility Systems: Lessons from the Detroit Region.” Beyond all else, the pilot demonstrated… Read More »
The first of its kind at U-M, the MIDAS Reproducibility Challenge aims to highlight high-quality, reproducible work at U-M by collecting examples of best practices across diverse fields. There will be a prize pool of up to $15,000 cash award for the winning teams. Besides incentivizing reproducible workflows and enabling a deeper understanding of issues of reproducibility, the… Read More »