Research Profile

Portrait of Fran Labronée

Fran Labronée

Early-Career Researcher in Urban Tech (I3D)
Urban Tech, International Inst. of Interdisciplinary Development (I3D) fran.labronee@example.org

Short Bio

I am at the beginning of my research career in Urban Tech at the International Institute of Interdisciplinary Development (I3D). My work explores how cities can responsibly integrate data-driven systems into public services and civic infrastructure, with early interests in mobility systems, energy transition, and responsible AI for urban governance. I collaborate with cross-disciplinary teams to prototype tools that are technically sound and socially grounded.

Research Interests

  • Urban technology & digital public infrastructure
  • Responsible AI in cities (transparency, fairness, accountability)
  • Data governance & participatory design
  • Human-centered evaluation of civic tech

Current Role

  • 2025–present: Junior Researcher, Urban Tech, International Inst. of Interdisciplinary Development (I3D)

Affiliations

  • Urban Tech, I3D (International Inst. of Interdisciplinary Development)

Education

  • MSc (or ongoing), Urban Technology / Smart Cities, Placeholder University, 2025
  • BSc, Engineering / Urban Informatics, Placeholder University, 2023

Teaching / Mentoring

  • Guest lab sessions on data ethics and basic ML for urban applications (2025–)

Awards

  • Early Career Travel Grant, Urban Tech Network (2025)

Publications & Outputs

  • In preparation: “Measuring Practical Fairness in City Service Classifiers: A Pilot with Mobility Tickets” (2025)
  • Workshop poster: “Civic Data Pipelines for Energy Transition Dashboards” (2024)

Abstract (Current Project)

Title: Responsible AI Prototyping for Urban Services.
This project explores lightweight audit and feedback loops for AI-assisted decision support in municipal contexts. We co-design data collection and evaluation criteria with practitioners and residents, focusing on transparency, accessibility, and measurable fairness impacts under real-world constraints.