About
Jonathan Dortheimer is an architect, educator, researcher, and founder of the Architectural Artificial Intelligence Research Lab at Ariel University. His work examines how artificial intelligence, computational methods, and participatory technologies can support architectural design, urban planning, and more transparent decision-making.
Jonathan is a senior lecturer at the Ariel University School of Architecture and a guest scholar at the Chair of Architectural Informatics, Technical University of Munich in Germany.
He completed his doctoral studies in 2021 at Tel Aviv University under the supervision of Prof. Eran Neuman and Prof. Tova Milo. He later worked as a postdoctoral researcher at the Material Topology Research Lab at the Technion, in collaboration with the Future Automation Lab at Cornell Tech, under the supervision of Prof. Aaron Sprecher and Prof. Wendy Ju.
Jonathan’s research treats spatial design as a collective, technological, and political-cultural practice. He develops and evaluates tools for participatory design, urban AI, computational design methods, and urban digital twins. Across these areas, his work asks how AI can augment human judgment without replacing professional responsibility, public deliberation, or local knowledge.
Alongside his academic work, Jonathan has founded several technology initiatives and co-founded Meirim, a platform promoting democratic participation in urban planning in Israel. As a registered architect since 2008, he has designed built projects, participated in architectural competitions, and taught design, research methods, and programming at Tel Aviv University, the Technion, Ariel University, TU Munich, and Cornell Tech.
Papers
AI-Driven Recommendations for Strategic Urban Renewal
Addressing Religious Architectural Restrictions with Computer Code: A Genetic Algorithm Approach
Power and Ethical Concerns in the Integration of Smart City Technologies: A Case Study of Parking Payment Applications in Israel
Towards a Robust Evaluation Framework for Generative Urban Design
Evaluating large-language-model chatbots to engage communities in large-scale design projects
When design workshops meet chatbots: Meaningful participation at scale?
Think AI-side the Box! Exploring the Usability of Text-to-Image Generators for Architecture Students
Conceptual Architectural Design at Scale: A Case Study of Community Participation Using Crowdsourcing
Of Stones and Words - Computational Framework for Multifaceted Historical Narration of Wadi Salib
Toward a Generative Pipeline for an AR Tour of Contested Heritage Sites
Collective Intelligence in Design Crowdsourcing
A machine learning approach to urban design interventions in non-planned settlements
Poster: Chatbots in the Design Process - Automating Design Conversation in Urban Design Projects
A Crowdsourcing Method for Architecture - Towards a Collaborative and Participatory Architectural Design Praxis
A Novel Crowdsourcing-based Approach for Collaborative Architectural Design
Open-source architecture and questions of intellectual property, tacit knowledge and liability
Open Source Architecture: Challenges and opportunities
Are you passionate about improving the design of cities?
We welcome applications from researchers, designers, and practitioners from diverse disciplinary backgrounds. If you are interested in contributing to research at the intersection of AI, design, and urban studies, we encourage you to apply and join our team.