When:
Friday, Apr 16, 2021 10:00a -
5:00p

Where:
Online event
Online
Williamstown, MA 01267

EventScheduled OnlineEventAttendanceMode

Admission:
$40-150

Categories:
LGBT, Lectures & Conferences, Social Good, Tech, Virtual & Streaming

Event website:
https://www.eventbrite.com/e/data4justice-conference-tickets-134587592111?aff=ebdsoporgprofile

The QSIDE Institute is excited to announce the convening of its first ever Data4Justice Conference. On April 16, 2021, members of QSIDE, affiliated institutions, and the public will assemble via Zoom to share ideas, network and learn together about the most innovative data science research and its social justice applications in our five research areas: criminal justice, education justice, environmental justice, health care justice and inclusion in the arts.


QSIDE is honored to present Heather McGhee as our Keynote speaker. Racial healing expert, former president of Demos — a "think-and-do" tank that works to create a more just and inclusive world, and author of The Sum of Us: What Racism Costs Everyone and How We Can Prosper Together, McGhee will discuss the importance of the intersection of research, data, and social justice to inspire a more equitable world.


The QSIDE Institute will also present talks and facilitate discussion surrounding our five research focus areas.


Health Care Equity


Firstly, the QSIDE Institute is pleased to welcome two phenomenal speakers who will be exploring topics in Health Care Equity. Dr. Oluwadamilola "Lola" Fayanju, MD, MA, MPHS of the Duke University School of Medicine will be presenting on "Diversity, Representativeness, and the Importance of Inclusive Research", while Max Jordan Nguemeni Tiako, M.S. of the Yale School of Medicine will be speaking on "Obstruction of Justice: Colorblindness as a Barrier Against Health Equity".


Inclusion in Arts/Media


Next, we will transition into conversations about Inclusion in Arts/Media, with talks led by three distinguished speakers. Dr. Allissa Richardson, Ph.D. of the USC Annenberg School of Communication will be speaking on "The Coming Archival Crisis: How Social Media Disappears Black Witnessing", Dr. Srivi Ramasubramanian, Ph.D. of Texas A&M University will be discussing "Data for Social Justice in Media Contexts", and Dr. Diana Greenwald, Ph.D. of the Isabella Stewart Gardner Museum will be exploring "Why Have There Been No Great Women Artists? Artistic Labor and Time Constraint in Nineteenth-Century America".


Environmental Justice


The QSIDE Institute is excited to explore topics in Environmental Justice with two more speakers. Lourdes Vera, M.A. of Northeastern University will be presenting on "A Community-Based Tool to Measure Hydrogen Sulfide Near Oil and Gas Development" while Dr. Alejandro Ponce, Ph.D. from the World Justice Project will be speaking on "Environmental Governance Indicators".


Criminal Justice


Another research focus area will surround topics in Criminal Justice. The QSIDE Institute is pleased to present two speakers: Dr. Jasmine Drake, Ph.D. of Texas Southern University who will be speaking on "The Intersectionality of Forensic Science and the Criminal Justice System" and Dr. Christian Smith, Ph.D. of Berea College who will be discussing "Identifying Racially Discriminatory Federal Judges".


Equity in Education


Lastly, the Data4Justice Conference will focus in on Education Equity. The QSIDE Institute is looking forward to presenting Dr. Anne-Marie Nuñez, Ph.D. of The Ohio State University who will be presenting on "Data for Equity in Education", and Dr. Manuel S. González Canché, Ph.D. of the University of Pennsylvania will be speaking on "The Perils of Machine Learning in Reproducing Inequities: An Application to Risk Models in FAFSA Verification".

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04/16/2021 10:00:00 04/16/2021 17:00:00 America/New_York QSIDE Data4Justice Conference The QSIDE Institute is excited to announce the convening of its first ever Data4Justice Conference. On April 16, 2021, members of QSIDE, affiliated institutions, and the public will assemble via Zo... Online, Williamstown, MA 01267 false MM/DD/YYYY