Electric mobility is increasingly positioned at the centre of climate mitigation, urban transformation, and energy system transitions. Yet the rapid expansion of electric vehicle (EV) infrastructure particularly charging systems raises critical questions about equity, governance, behavioural change, and the societal implications of data-driven mobility systems.
This half-day interdisciplinary workshop at HIAS, organized by Sanchari Deb, Achim Oberg and Detlef Schulz, brings together researchers from data science, energy systems, climate science, urban studies, science and technology studies (STS), sociology, geography, and governance research to explore how emerging data practices in e-mobility intersect with broader social, ethical, and policy challenges. Building on ongoing fellowship research on accessible, smart, and sustainable charging infrastructure, the workshop connects granular, session-level charging data and AI-enabled analytics with questions of justice, urban space, and climate resilience.
Through lightning talks, panel discussion, and an interdisciplinary co-creation lab, the workshop aims to foster dialogue across technical and social domains, showcase early-stage research, and stimulate new collaborative ideas. A particular focus is placed on how AI, machine learning, and mobility datasets can support equitable infrastructure planning, improve behavioural understanding, and enable resilient mobility systems under climate stress.
The workshop also serves as a platform to explore future interdisciplinary research collaborations aligned with national and international funding opportunities, including DFG, EPSRC, and Horizon Europe calls related to sustainable mobility, energy systems, and climate adaptation.
Call for Contributions
We invite early-career and senior researchers from a wide range of disciplines to contribute to this interdisciplinary workshop. Contributions are particularly welcome from (but not limited to):
- Energy systems and power systems engineering
- Data science, AI, and machine learning for mobility and energy
- Climate science and climate-resilient infrastructure
- Urban studies, planning, and geography
- Science and Technology Studies (STS)
- Sociology, political science, and governance of transitions
- Mobility justice, ethics, and sustainability research
Types of Contributions
Participants are invited to propose short lightning talks (10 minutes) addressing one or more of the following themes:
- Data-driven analysis of EV charging behaviour and infrastructure
- AI and machine learning for smart and sustainable mobility systems
- Climate impacts, resilience, and adaptation in e-mobility and energy infrastructure
- Social, behavioural, and sociotechnical dimensions of electric mobility
- Governance, regulation, and policy challenges in e-mobility transitions
- Equity, accessibility, and justice in charging infrastructure deployment
Lightning talks will be followed by a panel discussion and an interdisciplinary co-creation lab, where participants will work in mixed groups to:
- Map key technical and societal challenges in e-mobility
- Develop future scenarios or intervention pathways (e.g. equitable charging networks, climate-resilient systems)
- Sketch integrated methodological approaches combining quantitative and qualitative tools
Each group will produce a short concept note or storyboard, with the aim of identifying promising directions for future collaborative research and funding proposals.
Submission Information
Interested contributors are invited to submit:
- A short abstract (150–200 words) outlining their proposed lightning talk
- A brief bio (2–3 sentences) including disciplinary background and career stage
In cooperation with
