The Michigan Institute for Data Science (MIDAS) is convening a research working group on Trustworthy Data Science. We had a working group meeting last summer in response to an NSF funding announcement on secure and trustworthy cyberspace, and would like to expand to cover a wider range of research topics under the broad theme of “Trustworthy Data Science”. This will include research and its application on data security, privacy, data fairness, validity, and sensible applications to policy. Such topics are essential in data science methodology and tools development, and in many research areas including healthcare, education, business and finance, sustainability, and social sciences. Our working group welcomes methodologists as well as researchers in any research area who take these issues into consideration. We hope to create an interdisciplinary forum that will foster innovative ideas and new collaboration.
- Each participant has 2-3 minutes (based on the number of participants) to describe: a) their research focus and, b) their interest in any aspect of data security, privacy, fairness and validity.
- Dr. H. V. Jagadish (EECS) will give an overview of these research areas and major issues.
- Open discussion on ideas, collaboration and interesting funding opportunities.
Future Plan: Based on the interest of participants, MIDAS will hold regular meetings on Trustworthy Data Science (in the form of chalk talks, discussion of funding announcements, etc.), to foster innovative ideas and collaboration.
Please sign up using the online form.
For questions, please contact Jing Liu, MIDAS Senior Scientist and Industry Partnership Leader (firstname.lastname@example.org; 734-764-2750). Please share this announcement with your colleagues who might be interested.