@misc{10481/111742,
year = {2024},
month = {11},
url = {https://hdl.handle.net/10481/111742},
abstract = {Case-based platforms, such as Participedia, PartScout, Co-Cities, and LATINNO, are increasingly recognized as inclusive, cumulative, and informative tools for designing collaborative and participatory actions. These platforms are equipped with social technologies, crowdsourcing applications, and human-computer interactions, which facilitate the dissemination, analysis, and exchange of participatory design and planning (PD&P) experiences that address chronic public problems related to shared interests and values. However, exploring the ever-increasing, interdisciplinary, and extensive scope of PD&P cases to gain insights is challenging for researchers and practitioners, thereby making it essential to develop effective strategies. Despite participatory practices being inherently collective, there is little discussion of how to leverage collective intelligence (CI) into participatory research. We claim, accordingly, that the systematic use of CI will enrich our understanding of the diverse realm of PD&P. We have approached case-based platforms through the lens of CI, as an umbrella term bridging various concepts encompassing cooperative, bottom-up, citizen-led, collaborative, and grassroots actions. This study aims to conduct a meta-analysis to reveal cross-case patterns, specifically probing contextual, methodological, and actor-related dimensions, within a dataset comprising 2,439 cases. The research design is grounded in the case survey method, further enhanced by integrating AI-based clustering, mapping, and semantic analysis. The findings point to the promising performance of the proposed method in revealing diversified and highly interconnected PD&P patterns. Despite its limitations, this preliminary study provides valuable insights through the CI genome, contributing to a comprehensive understanding of PD&P landscapes and stimulating new research questions.},
organization = {This  research  was  conducted  in  the  scope   of   PhD   thesis   with   financial   support    from    the    Scientific    and    Technological       Research       Council       of      Turkey      (TUBITAK)      BIDEB-2214/A        International        Research        Fellowship  Program.  Project  Number:  1059B142100330The  authors  would  like  to  acknowl-edge  that  this  paper  is  submitted  in  partial  fulfillment  of  the  requirements  for the PhD degree at Yıldız Technical University},
publisher = {Faculty of Architecture, Istanbul Technical University},
keywords = {Case  survey},
keywords = {Clustering},
keywords = {Collective  intelligence},
keywords = {Participatory  practices},
keywords = {Self-organizing maps},
title = {Exploring case-based platforms: AI-powered meta-analysis of participatory design and planning practices},
doi = {https://doi.org/10.58278/0.2024.62},
author = {Heyik, Muhammet Ali and Romero-Martínez, José-María and Erdoğan, Meral},
}