Research Team

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Jonathan Dortheimer

Head of Lab

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

2025 Publication

Quantifying Architectural Experience using VLMs: Does AI Dream of Rendered Spaces?

Gal Guz, Nikolas Martelaro, Gerhard Schubert, Jonathan Dortheimer
  • Venue CAAD Futures 2025
  • AI-Assisted Design
  • Synthetic Humans
2025 Publication

AI-Driven Recommendations for Strategic Urban Renewal

Haya Brama, Tal Grinshpoun, Oded Landau, Jonathan Dortheimer
  • Venue CAADRIA 2025
  • Urban AI
  • Social Impact Prediction
2025 Publication

Addressing Religious Architectural Restrictions with Computer Code: A Genetic Algorithm Approach

Jonathan Dortheimer, Gaya Bitman
  • Venue CAADRIA 2025
  • AI-Assisted Design
  • Urban Studies
2025 Publication

Power and Ethical Concerns in the Integration of Smart City Technologies: A Case Study of Parking Payment Applications in Israel

Jonathan Dortheimer, Gilad Chalfon
  • Venue Journal of Urban Technology
  • Urban Studies
  • Urban Digital Twins
2024 Publication

Towards a Robust Evaluation Framework for Generative Urban Design

Haya Brama, Agata Dalach, Tal Grinshpoun, Jonathan Dortheimer
  • Venue eCAADe 2024
  • Urban AI
  • Social Impact Prediction
  • AI-Assisted Design
2024 Publication

Evaluating large-language-model chatbots to engage communities in large-scale design projects

Jonathan Dortheimer, Nik Martelaro, Aaron Sprecher, Gerhard Schubert
  • Venue Artificial Intelligence for Engineering Design, Analysis and Manufacturing
  • Conversational AI
  • AI-Assisted Design
2024 Publication

When design workshops meet chatbots: Meaningful participation at scale?

Stephen Yang, Jonathan Dortheimer, Aaron Sprecher, Qian Yang
  • Venue International Journal of Architectural Computing
  • Conversational AI
  • AI-Assisted Design
2023 Publication

Think AI-side the Box! Exploring the Usability of Text-to-Image Generators for Architecture Students

Jonathan Dortheimer, Gerhard Schubert, Agata Dalach, Lielle Brenner, Nikolas Martelaro
  • Venue eCAADe 2023
  • AI-Assisted Design
  • Conversational AI
2023 Publication

Conceptual Architectural Design at Scale: A Case Study of Community Participation Using Crowdsourcing

Jonathan Dortheimer, Stephen Yang, Qian Yang, Aaron Sprecher
  • Venue Buildings
  • Collective Intelligence
  • AI-Assisted Design
2022 Publication

Of Stones and Words - Computational Framework for Multifaceted Historical Narration of Wadi Salib

Eytan Mann, Jonathan Dortheimer, Alona Nitzan-Shiftan, Aaron Sprecher
  • Venue CAADRIA 2023
  • Urban Studies
  • AI-Assisted Design
2022 Publication

Toward a Generative Pipeline for an AR Tour of Contested Heritage Sites

Eytan Mann, Jonathan Dortheimer, Aaron Sprecher
  • Venue IEEE International Conference on Artificial Intelligence and Virtual Reality
  • Urban Studies
  • AI-Assisted Design
2022 Publication

Collective Intelligence in Design Crowdsourcing

Jonathan Dortheimer
  • Venue Mathematics
  • Collective Intelligence
  • AI-Assisted Design
2022 Publication

A machine learning approach to urban design interventions in non-planned settlements

Anna Boim, Jonathan Dortheimer, Aaron Sprecher
  • Venue CAADRIA 2022
  • Urban AI
  • Urban Studies
2022 Publication

Poster: Chatbots in the Design Process - Automating Design Conversation in Urban Design Projects

Jonathan Dortheimer, Nikolas Martelaro, Gerhard Schubert, Aaron Sprecher
  • Venue Design Computing and Cognition 2022
  • Conversational AI
  • AI-Assisted Design
2021 Publication

A Crowdsourcing Method for Architecture - Towards a Collaborative and Participatory Architectural Design Praxis

Jonathan Dortheimer
  • Venue Tel Aviv University
  • Collective Intelligence
  • AI-Assisted Design
2020 Publication

A Novel Crowdsourcing-based Approach for Collaborative Architectural Design

Jonathan Dortheimer, Eran Neuman, Tova Milo
  • Venue eCAADe 2020
  • Collective Intelligence
  • AI-Assisted Design
2020 Publication

Open-source architecture and questions of intellectual property, tacit knowledge and liability

Jonathan Dortheimer, Talia Margalit
  • Venue The Journal of Architecture
  • Urban Studies
2017 Publication

Open Source Architecture: Challenges and opportunities

Jonathan Dortheimer
  • Venue Tel Aviv University
  • Urban Studies
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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.

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