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Dr. Daniene Byrne

SUNY PRODiG+ Fellow

Ph.D. Stony Brook University

Daniene Byrne

 

Department of Technology and Society
Ph.D. Technology, Policy, and Innovation, Stony Brook University
M.A.P.P., Stony Brook University
MACT and STRIDE, Advanced Graduate Certificates, Stony Brook University
Emergent technology policy design and strategy; Responsible AI policy for media, education,
and automated vehicle systems; technology and democracy; stakeholders' influence on
decision-making

Courses Offered:

EST 206 Introduction to Technological Design
EST 320 Communication Technology Systems

Selected Publications:
Byrne, D. 2023. “Book Review: The Leak – Robert P. Crease with Peter Bond”, IEEE, Technology
and Society Magazine, 42, 2 (June 2023)
Byrne, D. 2021. “Book Review: Data Feminism- Catherine D’Ignazio and Lauren F. Klein”, IEEE,
Technology and Society Magazine. 41, 4. (December 2021)
Byrne, D. 2021. “Developing a Technology Policy Feedback Course” Graduate Research in STS
(GRiSTS) Disrupted Lives, Roundtable, STS Program, Kennedy School, Harvard University

I study public policymaking for emergent technologies as a design process with social justice impacts. I attended Stony Brook’s M.A.P.P. program, studying with urban planner Lee Koppelman, and then advanced to Stony Brook’s Ph.D. program in Technology, Policy and Innovation, led by Dr. David Ferguson. My interdisciplinary graduate experience connected society, policy, STS, science communication, and media studies; all relevant to understanding technological development and their intertwined cultural, social, and political impacts.  My dissertation focused on policy design processes for Automated Driving Systems (ADS). Working across engineering policy development and administrative law, I investigated STS theories using political science mixed methods. Results quantified the extent to which various stakeholder desires inform ADS policy decisions. In 2023-2024 I was fortunate to work for C/STEP as Program Manager. Future research will focus on the controversies and consequences throughout the ongoing development of Responsible AI policies for youth-related technologies in media and education.