AI-Driven Participatory and Democratic Design

This award-winning research project explores innovative participatory methods through the development of novel software tools. The outcomes of this project provide new public participation tools that address the challenges of traditional participatory design processes, including power imbalances, knowledge gaps, communication barriers, trust issues, and the need for streamlined information flows.

AI-Driven Participatory and Democratic Design
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About

In this project, we pioneer automated participatory design at an urban scale. Our chatbot technology helps planners incorporate the public’s needs and ideas into the design process by engaging stakeholders in meaningful dialogues, thereby creating more inclusive and representative designs on an urban scale.

Funding

  • Ministery of Science and Technology (Technion TRDF)
  • Valiant LTD
  • Technical University of Munich Global Collaboration Grant
  • Ariel Univerisity

Related Papers

Stephen Yang, Jonathan Dortheimer, Aaron Sprecher, Qian Yang (2024). When design workshops meet chatbots: Meaningful participation at scale?. International Journal of Architectural Computing doi:10.1177/14780771241253440
Jonathan Dortheimer, Nik Martelaro, Aaron Sprecher, Gerhard Schubert (2024). Evaluating Large-Language-Model Chatbots to Engage Communities in Large-Scale Design Projects. Artificial Intelligence for Engineering Design, Analysis and Manufacturing doi:10.1017/S0890060424000027
Jonathan Dortheimer, Stephen Yang, Qian Yang, Aaron Sprecher (2023). Conceptual Architectural Design at Scale: A Case Study of Community Participation Using Crowdsourcing. Buildings doi:10.3390/buildings13010222
Jonathan Dortheimer (2022). Collective Intelligence in Design Crowdsourcing. Mathematics doi:10.3390/math10040539
Jonathan Dortheimer, Nikolas Martelaro, Gerhard Schubert, Aaron Sprecher (2022). CHATBOTS IN THE DESIGN PROCESS -Automating Design Conversation in Urban Design Projects. Unpublished doi:10.13140/RG.2.2.31654.40003
Jonathan Dortheimer, Eran Neuman, Tova Milo (2020). A Novel Crowdsourcing-based Approach for Collaborative Architectural Design. Proceedings of the 38th International Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe) [Volume 2] doi:10.52842/conf.ecaade.2020.2.155