February 15th, 2019
“Critical Data Studies is an emerging interdisciplinary field that addresses the ethical, legal, sociocultural, epistemological, and political aspects of data science, big data, and digital infrastructure.”
There is a great deal of talk about data-driven research and “Big Data” at Purdue and, in general, in the business and education sectors across the U.S. For example, through the University’s Integrated Data Science Initiative (IDSI) launched this year, Purdue researchers aim to be at the “forefront of advancing data science-enabled research and education by tightly coupling theory, discovery, and applications while providing students with an integrated, data science-fluent campus ecosystem.”
There is growing acknowledgement across sectors that reliance on automated and data-driven decision-making, ubiquitous data collection, and the networked nature of daily life has profoundly impacted human relationships, trust in public institutions, and power imbalances across societies.
The Critical Data Studies Collaborative at Purdue is a multidisciplinary community that seeks to create opportunities for dialogue about the ethical, legal, sociocultural, epistemological, and political aspects of data science, big data, and digital infrastructure by providing a space to share work and expertise; promote student, trainee, and faculty learning; and collaborate on new research and learning initiatives.
During the 2018-2019 academic year, the CDS Collective launched the inaugural Critical Data Studies Distinguished Lecture Series, Fall (Safiya Noble, Oct. 3) & Spring (Virginia Eubanks, Feb. 13); and the monthly Open Seminar Series. Beginning 2019-2020, the collaborative will launch a Critical Data Studies Cohort of the Data Mine Learning Community in collaboration with faculty and postdocs affiliated with the Purdue Honors College, Purdue University Libraries and School of Information Studies, African American Studies, and the Department of Anthropology.
To learn more, visit http://tinyurl.com/critdatastudies.