n-Space Fellowship Open Call

n-Space Fellowship Open Call

n-Space at Somerset House Studios is a space for experimental, collaborative research across art, technology and society. It aims to support outcomes that don’t fit within traditional institutional platforms, bringing artists, technologists and researchers together to generate insights, knowledge and interventions in emerging sociotechnical systems.

An evolving cross-sector network, n-Space tests novel forms of collaboration capable of engaging with rapid technological and cultural change, prioritising process, creative R&D and unconventional methods that cut across the arts, humanities and sciences.

The first n-Space fellowship launched in October 2025 with an invited cohort of six fellows* working together to explore the question of ‘Governance’. For the second fellowship cohort, the convening line of inquiry will be ‘Prediction’. Fellows will work individually and collectively with Somerset House Studios and partners UAL’s Creative Computing Institute, Abandon Normal Devices and Lancaster University within a uniquely designed cross-disciplinary programme.

*Adnan Naqvi, Agnes Cameron, dmstfctn, Ed Fornieles, Hannah Cobb, Leela Jadhav

On ‘Prediction’

Prediction is an old technology. Long before machine learning, divination and prophecy offered ways of interpreting what comes next. Today that task falls to sensing infrastructures, statistical forecasting, protocols and AI systems that shape markets, behaviours, governance and public life, and offer new models for understanding the mind. Prediction is not simply a means of anticipating the future, but a way of producing it. It moves between chance and calculation, between tracking trends and speculating on what might be, seeking patterns while contending with contingency. It is a service, a commodity and, for some, a worldview.

We welcome proposals from artists, designers, engineers, lawyers, scientists, and technologists who are interested in being part of a collaborative research cohort to undertake or develop research and can demonstrate an interest in prediction as a subject of inquiry in their existing work.