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 »
A significant challenge facing a wide variety of disciplines is the ability to reproduce research results. Researchers across U-M are working together to develop best practices that promote reproducible data science, and Michigan IT staff play an important role in this effort. “Many IT staff members don’t normally get involved directly in specific research projects, so the reproducibility… Read More »
The Michigan Institute for Data Science held its Data Science Annual Symposium Tuesday, November 10 and Wednesday, November 11. The keynote featured Lauren Klein, English professor at Emory University, and Catherine D’Ignazio, urban science professor at the Massachusetts Institute of Technology. The pair discussed their book, “Data Feminism,” published last February. Klein and D’Ignazio introduced what they call the… Read More »
The Michigan Institute for Data Science (MIDAS) and Information and Technology Services (ITS) recently partnered with Microsoft Azure to offer cloud computing credits to U-M faculty members for both research and teaching projects. Congratulations to the following faculty members who received awards for their projects. Emily Mower Provost, associate professor of electrical engineering and computer science, College of… 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 »
The Michigan Institute for Data Science (MIDAS) and Information and Technology Services (ITS) have partnered with Microsoft Azure to offer cloud computing credits to U-M faculty members for both research and teaching projects. Research. Submit proposals for research projects in any discipline that fit one of the following categories: The research project is new and can take advantage of… 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 »
Almost overnight, the sleep and wake patterns of nearly four billion people may have changed because of COVID-19-spurred lockdowns. A free app built by University of Michigan researchers will help users understand their own sleep rhythms, shedding light on how their biological clock is responding to lockdowns, and give tips about how to shift their potentially disrupted rhythms… 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 »
As the novel coronavirus (COVID-19) advances around the world, a growing number of researchers are using computational models to estimate this spread. Among the first to publish on the subject is a team of Hong Kong- and China-based researchers that includes University of Michigan Institute for Data Science (MIDAS) research fellow Qianying Lin. For the past several weeks,… Read More »
Do you have experience working alongside community partners in data analysis or program evaluation? Do you want to connect with others who are using their skills for public good? You are invited to attend the 3rd annual Data for Public Good Symposium on Tuesday, February 25, 2020, Weiser Hall, 10th floor. Hosted by the Michigan Institute for Data Science (MIDAS),… Read More »
The Michigan Institute for Data Science (MIDAS) recently announced the awardees of its first round of Propelling Original Data Science (PODS) Grants. Fifteen interdisciplinary teams will receive over $1 million in combined funding support for an array of exciting projects with data science as the common thread. The projects range from detecting patterns of illicit wildlife trade networks, to… Read More »
The National Science Foundation recently recognized the Michigan Institute for Data Science and Information and Technology Services with grants totaling almost $3 million to support research in data equity, security, and privacy. Data science is an important tool that can help researchers tackle important societal challenges ranging from mobility and health to public safety and education. But data… Read More »
Last week, students and professors conducted live research in Hill Auditorium during a musical performance and informational presentation before nearly 200 community members. James Kibbie, chair of the School of Music, Theatre & Dance Organ Department, and Daniel Forger, professor of mathematics, received a grant from the Michigan Institute for Data Science to collaborate on the analysis of… Read More »
H.V. Jagadish has been appointed director of the Michigan Institute for Data Science (MIDAS), effective February 15, 2019. Jagadish, professor of electrical engineering and computer science, was one of the initiators of an earlier concept of a data science initiative on campus. “I have a longstanding passion for data science, and I understand its importance in addressing a… Read More »
Four U-M research teams will receive support for projects that apply data science tools to the study of music theory, performance, social media-based music making, and the connection between words and music. The funding is provided under the Data Science for Music Challenge Initiative through the Michigan Institute for Data Science (MIDAS). The projects include digital analysis of… Read More »
Please join the Michigan Institute for Data Science (MIDAS) for our annual symposium on Wednesday, October 11, titled “A Data-Driven World: Potentials and Pitfalls.” We’re welcoming an exciting group of speakers to Ann Arbor this year, including several eminent women working in the field of data science. The keynote address will be delivered by Cathy O’Neil, author of… Read More »
Five research teams from U-M and Shanghai Jiao Tong University in China are sharing $1 million to study data science and its impact on air quality, galaxy clusters, lightweight metals, financial trading and renewable energy. Since 2009, the two universities have collaborated on a number of research projects that address challenges and opportunities in energy, biomedicine, nanotechnology, and… Read More »
Researchers at U-M will use Big Data and mobile technology to learn how to predict when individuals will get diseases, and to unlock the potential of single-cell gene sequencing under three recently funded projects. The Michigan Institute for Data Science awarded the three interdisciplinary projects a combined $3 million under the second round of its Challenge Initiative program. “These… Read More »