Upstream governance, institutional mismatch, and rule formation in emerging technology and sustainability transitions.
My research examines how emerging technologies and sustainability transitions become governable when inherited institutions do not yet fit new policy problems. I study the upstream phase of governance; when actors are still deciding what a new problem is, who has authority over it, where decisions should be made, and what procedural rules can make governance accountable, reviewable, and durable.
Across AI governance, autonomous systems, AI infrastructure, clean energy transitions, collaborative governance, and nonprofit/civil society action, I analyze how rules, venues, administrative routines, and intermediaries shape whether governance stabilizes, stalls, shifts venues, or consolidates without meaningful learning.
I focus on the politics of making an innovation governable before mature policy conflict fully exists.
Research Areas
Contested Rule Formation and Institutional Mismatch
A framework for early-phase governance of disruptive innovations, focusing on classification, jurisdiction, venue settlement, and procedural rule formation.
Learn more →AI and Emerging Technology Governance
Institutional readiness, accountability lag, and procedural governance for AI, autonomous systems, and digital infrastructures.
Learn more →Clean Energy, Rule Location, and Constrained Polycentricity
Where governance actually lands in clean energy transitions under preemption, utility authority, and constrained polycentricity.
Learn more →Civil Society, Nonprofits, and Shadow Rule-Making
How nonprofits and communities make emerging problems governable through intervention, venue activation, and rule-object production.
Learn more →Collaborative Governance and Design Methods
Methods to study institutional change, attention reallocation, and design–implementation gaps in complex governance systems.
Learn more →Methods and Evidence
I use qualitative case analysis, process tracing, documentary analysis, structured comparison, mixed methods, text-as-data, and systems modeling to make governance empirically observable through rules, venues, routines, and accountability.
Sina Jangjoo
I am an incoming tenure-track Assistant Professor of Public Administration at The University of Texas at Tyler, beginning Fall 2026, and a PhD candidate in Public Administration and Policy at Florida State University.
My research sits at the intersection of public administration, policy process, science, technology, and environmental policy, urban governance, nonprofit studies, collaborative governance, and institutional design.
How new problems become governable
My work develops Contested Rule Formation to explain how actors classify new problems, settle authority, build venues, and create procedural rules before stable policy systems fully exist.
Research approach
Across projects, I focus on how governance becomes empirically visible: in rule objects, venue architectures, public records, procurement templates, program manuals, administrative routines, reporting obligations, and procedures for review and correction.
Current agenda
The agenda connects CRF, AI governance, clean-energy rule location, nonprofit shadow rule-making, collaborative governance attention budgets, and systems modeling of design–implementation gaps.
Latest from the Blog
Contact
I welcome conversations about research collaboration, public administration and policy scholarship, AI governance, clean energy transitions, nonprofit and civil society governance, and speaking or teaching opportunities.
Email: sjangjoo@fsu.edu · LinkedIn