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Global Perspectives on Ethical Data Management: A cross-disciplinary workshop on international data projects and cultural approaches to data harm.

This interactive discussion will explore the benefits and challenges inherent to multi-institutional and international projects that represent diverse disciplinary and cultural data practices. Speaking from varied roles on such projects or programs, presenters will address what it means to take a global cultural approach to data ethics, given the nature of working with data produced by different communities and navigating the complex landscape of international policies and cultural expectations.

A facilitated discussion will follow speaker introductions, aimed at sharing best practices and generating strategies for building global cultural competencies, identifying resources available to support global digital research at Pitt, and creating connections across disciplinary boundaries.

What might it look like for researchers to take an ethical perspective on global data harm when developing international collaborations? What is involved when translating policies to practice and coordinating complex research projects? How might we address implicit power relations, funding inequities, and the continued impact of colonialism on the data produced by our research and other activities? Join us for this conversation to learn more and connect with other Pitt community members interested in global approaches to data ethics.

Speakers:

  • Ruth Mostern, Professor of History and Director of the World History Center
  • Stephen Wludarski, Program Manager for the National Consortium for Teaching about Asia (NCTA) Pittsburgh, Asian Studies Program
  • Victoria Sterling, Former Grant Manager for the Geography of Philosophy Project
Date:
Friday, February 23, 2024
Time:
12:00pm - 1:30pm
Location:
Hillman Library, Room 254 (Executive Conference Room)
Campus:
Pittsburgh
Categories:
Data Ethics, Digital Scholarship Workshop/Presentation
Registration has closed.

Event Organizer

Rachel Starry