Practicing Data Governance to Increase Benefits and Reduce Harms of Big Data
This PDW will consider how to improve existing organizational governance practices with enhanced and innovative approaches to structural, technological, and regulatory mechanisms and will highlight approaches in commercial, public sector, health care, urban planning, and technology design contexts.
Data governance occurs within and across organizations through on the ground practices and technologies used to create, aggregate, apply, repurpose, and monetize data. How these data are or should be governed are vital questions that require we critically examine existing and emerging practices. The reuse of organizational data beyond their original purpose is putting a strain on organizational and managerial decision-making processes and institutions that in the past governed these issues, particularly as data are increasingly implicated in opaque algorithmic and artificial intelligence technologies.
The interactive workshop format is designed to engage academics and practitioners in addressing trade-offs and synergies of data governance practices to realize governance goals.
- PDW organizers will briefly present research across multiple cases involving big data governance (30 minutes).
- Two interlocking round table discussion sessions will draw from participants’ experiences and research for specific insights about governance practices (30 minutes each).
- Panelists will then report back on the roundtables and moderate a discussion to synthesize insights (30 minutes).
The roundtables are organized around four general topics:
- the Organizational Structures table will consider practices and formal organizing such as data access committees, ethics officers, research review protocols, etc.;
- the Governance Technologies table will consider how technologies such as automated monitoring via bots or blockchains might address governance challenges;
- the Regulatory and Policy table will consider organizational responses to policies such as the European General Data Protection Regulation (GDPR) as well as organization policies for data access;
- the Managing the Consequences table will consider data governance is necessary to address benefits and harms from data-intensive technologies (e.g., AI, machine learning).
The first round will identify key problems, and the second will focus on solutions.
Panelists, discussion table leaders:
- Elizabeth Davidson, Professor in Information Technology Management, Shidler College of Business, University of Hawai’i Manoa
- Brian Fisher, Professor of Interactive Arts and Technology, Simon Fraser University
- Jeffrey Nickerson, Professor and Associate Dean of Research in the School of Business at Stevens Institute of Technology
- Anne Washington, Assistant Professor of Data Policy in the Steinhardt School at New York University
- Jenifer Winter, Professor in the School of Communications and Co-Director of the Pacific Information and Communication Technology for Development Collaborative at the University of Hawai’i Manoa
Organizer: Elizabeth Davidson, email@example.comRegistration: no pre-registration is necessary.#AOM2020