Abstract
The paper explores the usage of crowdsourcing (CS) as a social partner in transdisciplinary (TD) projects, highlighting its value in stakeholder engagement, knowledge integration and social impact in sustainable development and innovation. A two-stage study was conducted, including a literature review and concept-centric analysis of 11 projects, to examine the role of CS throughout the TD project lifecycle. The research introduces a maturity model that systematises CS involvement by identifying different levels of engagement. The findings show that CS enhances the co-production of solutions, improves outcomes and broadens their dissemination through societal participation. The study provides a practical framework (model 4L) for researchers and policymakers to integrate CS into TD projects, thereby promoting social innovation and effective responses to complex challenges.
Paper Type
Short Paper
DOI
10.62036/ISD.2025.149
Crowdsourcing as a Social Partner of Transdisciplinary Projects
The paper explores the usage of crowdsourcing (CS) as a social partner in transdisciplinary (TD) projects, highlighting its value in stakeholder engagement, knowledge integration and social impact in sustainable development and innovation. A two-stage study was conducted, including a literature review and concept-centric analysis of 11 projects, to examine the role of CS throughout the TD project lifecycle. The research introduces a maturity model that systematises CS involvement by identifying different levels of engagement. The findings show that CS enhances the co-production of solutions, improves outcomes and broadens their dissemination through societal participation. The study provides a practical framework (model 4L) for researchers and policymakers to integrate CS into TD projects, thereby promoting social innovation and effective responses to complex challenges.
Recommended Citation
Rostek, K. & Baj-Rogowska, A. (2025). Crowdsourcing as a Social Partner of Transdisciplinary ProjectsIn I. Luković, S. Bjeladinović, B. Delibašić, D. Barać, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation: How Data Science and Generative AI Contributes to ISD (ISD2025 Proceedings). Belgrade, Serbia: University of Gdańsk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences. ISBN: 978-83-972632-1-5. https://doi.org/10.62036/ISD.2025.149