Convened by Nathalie Holvoet, Dr. Sara Dewachter and  Diana Tiholaz, Institute of Development Policy, University of Antwerp

Over the last decades, global development paradigms have been characterized by a constant thirst for data—mobilizing diverse approaches to generate local data and knowledge as inputs into predefined mechanisms designed to address global and local problems. Yet, these approaches, under different labels such as citizen science or community research, did not confine to the mere role of data suppliers. Emerging practices of local data production increasingly attempt to challenge dominant paradigms by reimagining what counts as “data,” how it is produced and circulated, and which actors and feedback loops shape its meaning and use.

This seed panel convenes a workshop to explore these evolving dynamics, weaving together theory, practice, and innovation. We particularly welcome early-stage contributions that experiment with new forms of local data production, as well as reflections from practitioners, scholars, and activists directly engaged in such interventions. In line with its experimental spirit, participants are encouraged not only to present ideas but also to involve audiences through interactive and creative methods. 

By bringing together scholars, practitioners, and activists, this panel seeks to advance debates on the role of local data in shaping (G)local solutions to global sustainability challenges. It aims to highlight, in creative ways, how redefined notions of data production can open new pathways for equity, accountability, and transformative change.

In direct connection with the submitted Data in Motion harvest panel, this seed panel emphasizes innovation at the local level—exploring how such initiatives can effectively contribute to sustainability and development. Together, the two panels are designed as complementary spaces: the seed panel generates and tests new approaches in practice, while the harvest panel offers a broader, critical lens on how bottom-up and top-down regimes intersect.