Governing the Fab Lab Commons: An Ostrom-Inspired Framework for Sustainable University Shared Spaces

The Fourth Industrial Revolution has reshaped shared spaces in higher education, with manufacturing labs (Fab Labs) emerging as vital hubs for collaboration. However, a systematic framework for ensuring their long-term sustainability as shared resources is lacking. This study addresses this gap by conceptualizing the university Fab Lab as a ‘commons’ and applying Elinor Ostrom’s Institutional Analysis and Development (IAD) framework. We propose a new analytical framework for sustainable space sharing, reconstructed from Ostrom’s principles into three university policy domains: Resource Policy (Rp), Actor/User Policy (Ap), and Community/Governance Policy (C/Gp). To validate this framework, we conduct a case study of the ‘Idea Factory’ at Seoul National University, analyzing its operational policies in conjunction with global standards like the Fab Charter. The proposed framework provides practical guidance for establishing spatial policies and architectural plans that emphasize autonomy, adaptability, and polycentric governance. It offers a new paradigm for sustainability in university commons by integrating bottom-up community approaches with robust institutional design, providing a theoretical foundation for implementing effective sharing schemes in rapidly evolving educational environments.

Authors

Institutions

Publication Details

Journal
Buildings
Published
2026-01-04
DOI
https://doi.org/10.3390/buildings16010228
Primary Topic
Innovative Approaches in Technology and Social Development
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Governing the Fab Lab Commons: An Ostrom-Inspired Framework for Sustainable University Shared Spaces

Eunki Kang, Yoon-jeong Shin
Buildings
Innovative Approaches in Technology and Social Development
article

Governing the Fab Lab Commons: An Ostrom-Inspired Framework for Sustainable University Shared Spaces

Eunki Kang, Yoon-jeong Shin
article en

Abstract

The Fourth Industrial Revolution has reshaped shared spaces in higher education, with manufacturing labs (Fab Labs) emerging as vital hubs for collaboration. However, a systematic framework for ensuring their long-term sustainability as shared resources is lacking. This study addresses this gap by conceptualizing the university Fab Lab as a ‘commons’ and applying Elinor Ostrom’s Institutional Analysis and Development (IAD) framework. We propose a new analytical framework for sustainable space sharing, reconstructed from Ostrom’s principles into three university policy domains: Resource Policy (Rp), Actor/User Policy (Ap), and Community/Governance Policy (C/Gp). To validate this framework, we conduct a case study of the ‘Idea Factory’ at Seoul National University, analyzing its operational policies in conjunction with global standards like the Fab Charter. The proposed framework provides practical guidance for establishing spatial policies and architectural plans that emphasize autonomy, adaptability, and polycentric governance. It offers a new paradigm for sustainability in university commons by integrating bottom-up community approaches with robust institutional design, providing a theoretical foundation for implementing effective sharing schemes in rapidly evolving educational environments.

BuildingsVol. 16(1)
Soongsil University (KR), Sejong University (KR)
National Research Foundation, National Research Foundation of Korea
Quality Education
Openalex Percentile: Top 98%
Innovative Approaches in Technology and Social Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.