Please consider sponsoring the QSIDE Colloquium!
The QSIDE Colloquium series is pleased to announce our spring 2021 speakers! Please register for your events as soon as possible; attendance is limited and is on a first-come, first-served basis.
All talks will be held virtually via a Zoom webinar. Zoom details will be sent prior to each event.
Size Matters to Lesbians Too: Queer Trans Feminist Interventions into Data, Algorithms, and Visualizations
Speaker: Jen Jack Gieseking, Associate Professor of Geography, University of Kentucky Ph.D.
Date and Time: January 27, 2022 4:00p.m. Eastern
Abstract: Does “not tiny” data ever qualify as big enough when marginalized people do not have the resources to produce, self-categorize, analyze, or store “big data”? How can algorithms support projects of resistance and resilience, rather than merely enact processes of data sorting and surveillance? In which ways can data visualization multiply rather than simplify narratives? Most data collected about lesbian, gay, bisexual, trans*, and queer (LGBTQ) people throughout history has only been used to pathologize and stigmatize. I draw upon the geographic concept to address how the size of data, the construction of algorithms, and the outcome of data visualizations matter to lesbians, queers, and trans people too. I examine the relationship between the digital and material spaces of lesbians, queers, and trans people, and their social and economic repercussions through research completed at the Lesbian Herstory Archives on LGBTQ publications and organizing records, as well as data scraping of the #ftm and #mtf hashtags on Tumblr. Drawing upon a queer trans feminist and critical geographic perspective, I argue that a wide range of imbricated scales of technology exist which extend the usual vertical portrayal of scale (from the body to the global) to a horizontal positionality that reveals the nuanced way power operates.
A Road to Inequity Paved with Good Intentions: Data Science and Health Care Delivery in the US
Speaker: Taj Mustapha, Assistant Dean of Diversity, Equity and Inclusion, University of Minnesota Medical School and Assistant Professor of Internal Medicine and Pediatrics, University of Minnesota
Date and Time: February 24, 2021 4:00p.m. Eastern
Abstract: Researchers have uncovered racial disparities in infant and maternal mortality, survival after myocardial infarction, pain control for long bone fractures, vaccine administration, cancer screening, minimally-invasive versus radical surgical procedures, and more. However, those inequities remain. In fact, many times institutional efforts to address racial and other disparities have resulted in increased disparities. In order to understand why, it is important to understand the barriers to equity fundamental to the foundation of modern medicine and healthcare delivery in the US. This talk seeks to expose some of those foundational and systemic barriers, and to generate discussion about the role of data science in overcoming these barriers in the future.