At the 50th Anniversary for the Annual Meeting of the Society for Social Studies of Science (4S), Toronto, October 7-10, 2026, Scott Frickel (Brown University), Silke Beck (Technical University of Munich) and David Demortain (University of Paris - Gustave Eiffel) have put together an exciting panel entitled, “Computational Science and Technology Studies?”
The panel seeks to explore questions/dilemmas associated with the emergence of computational methods–broadly, the harnessing of computer techniques, tools and pipelines to interactively extract and analyze digital datasets – that represent an increasingly transformative technoscientific force in society, one that portends major shifts in the organization and distribution of technoscientific power. To date, STS seems unsure what to do about it. Where some see algorithms and “big data” as ontological threats that reduce complex social worlds to ones and zeros, others see epistemic opportunity in mysterious cultures and research objects to investigate. Where some have questioned computational methods as an imperialist (and racist) project, others champion specific approaches or techniques. Still others signal a cautious curiosity about whether computational methods might hold a legitimate place within STS, a way to broaden the field’s predominantly analog analytic toolkit by reflexively and systematically analyzing the voluminous textual worlds of technoscience refracted through regulatory reports, transcriptions of parliamentary debates, expert testimony, social media, and more. We propose a traditional open panel to provide a forum for discussing and debating the challenges and potential advantages of computational methods as these technologies relate to the study of science, technology, innovation, and society. As artificial intelligence and related technologies rapidly reshape societal norms, values, and institutions, how is STS responding? How should it respond? What would the reflexive integration of computational approaches into more standardized STS theory-methods packages look like? Conversely, how might STS inform critical thinking in the broader society and shape public policy to minimize threats these technologies may pose?
Exploring similar dilemmas raised as a research proposal pitch, at this panel Uni Luxembourg researchers Carr (DGE=) along with State/Wang/Yue (SnT) will take the side of 'cautious curiosity' as it lays at the heart of how social scientists and computer scientists can work/research together and boost one another's work towards solving real-world, urgent, problems. In this case, we explore gaming as a means of modeling. The title and abstract are as follows.
Digital twinning and learning about AI infrastructural development: What can Minecraft tell us about data centers?
Abstract
Data centers are a real-world problem springing up in/around cities, demanding resources, and posing as both threats and answers to digital security. Meanwhile, scholars are exposing related societal risks for land use, electrical grids, waterways, property values, and local politics (Carr/Madron 2025). To deliver a critical reflection on these issues, we experiment with digital twins generated in Minecraft. The urban twin is constructed using spatial data obtained from Google Earth Engine and related open geographic data sources, enabling the reconstruction of a prototype small Luxembourgish municipality, along with its infrastructure networks, buildings and land use. At the same time, LLM-driven agents representing urban residents are unleashed inside the digital twin, which then simulate interactions with the changing environment and with each other. Cautiously, we contend that the simulation has several applications and implications for the literature: 1) following scholars of urban gaming, it can act as an educational tool towards digital literacy and urban development; 2) following scholars of digital twinning (van der Laag et al. 2026), renderings help unpack the sociopolitical implications of data centre development, including cross-jurisdictional asymmetries; 3) LLMs and Minecraft can offer a new generation of modeling, contributing to debates about new modes in mapping (Kitchin/Dawkins 2024).
References
Carr/Madron 2025. Post-political clouds: Suspended failure in Google’s data centre development. Urban Stud, 62(13), 2600-2616.
Kitchin/Dawkins 2025. Digital twins and deep maps. Trans. Inst. Br. Geogr. 50e12699.
Van der Laag et al. 2026. Digital twins for cities–The rise of the socio-technical system. Environ Plan B: Urban