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format: Traditional Open Panel
A Traditional Open Panel is composed of typical academic paper presentations, possibly followed by reflections by a discussant.
P014
2 paper proposals
Propose
Commoning socio-technical frontiers: Navigating cutting-edge science and technology through the lens of sympoiesis.
P028
1 paper proposal
Propose
Space could be otherwise: imagining (new)space futures and their democratic alternative(s)?
P039
2 paper proposals
Propose
Decolonizing futures: Rethinking resilience through indigenous knowledge and local innovation systems
P050
2 paper proposals
Propose
Toward biomedical and health testing studies? Reassembling testing practices and health futures
P061
2 paper proposals
Propose
More-than-human (non)futures: on the (im)possibility to include non-humans in STS research
P062
1 paper proposal
Propose
Genuine collaboration for resilient futures: Reimagining STS in applied environmental research
P074
1 paper proposal
Propose
In my head, in my hands: Embodied encounters with generative AI in creative work
P077
2 paper proposals
Propose
From margins to methods: Re-making of socio-technical futures with justice and care.
P079
1 paper proposal
Propose
Situated microbes: Perspectives from empirical niches for reimagining resilience
P096
2 paper proposals
Propose
The platformization of health: What if the boundaries between activism and influencing were to blur?
P098
P103
1 paper proposal
Propose
An (un)avoidable scale-up? Exploring contested futures of the 'green gas' sector
P118
P119
1 paper proposal
Propose
Making short work of farm work: agriculture, labour, and science and technology
P124
4 paper proposals
Propose
When models act: Forecasting, automation and the politics of future-making
P125
5 paper proposals
Propose
A field in formation: What do we mean by ‘critical’ and ‘AI’ in Critical AI Studies?
P136
2 paper proposals
Propose
Outlasting 'disruption': Empirical perspectives on practical reasoning with AI
P143
2 paper proposals
Propose
Beyond default futures: Social technologies as tools for collective anticipation
P144
1 paper proposal
Propose
Material citizenship politics: Revisiting critical potentials in times of contentious civil rights
P154
P156
4 paper proposals
Propose
Making and unmaking of new scientific fields: Contestations, practices, and institutional pathways
P158
1 paper proposal
Propose
Funding futures: Rethinking research support through sociotechnical imaginaries of fairness and innovation
P160
2 paper proposals
Propose
The politics of expertise. Hybrid objects between aesthetics, science and activism.
P173
2 paper proposals
Propose
AImagineries of the social: The adoptions of GenAI in making knowledge on social realities
P178
1 paper proposal
Propose
Caring for the possible: In the meantime of healthcare’s data-driven futures
P191
3 paper proposals
Propose
Ecological Translation: Speaking for and with the Mute World through Law, Science and Technology
P194
1 paper proposal
Propose
Technologies of precision: Exploring the meanings, practices, and politics of precisioning tools across healthcare, agriculture, and warfare.
P195
1 paper proposal
Propose
Marginalized voices: Democratizing the green transition through environmental justice
P209
P214
P217
1 paper proposal
Propose
‘Nothing comes without its world’: Futuring work with/through/against AI epistemologies
P231
3 paper proposals
Propose
More than Politics: Science, Technology and Expertise in an age of populism
P254
2 paper proposals
Propose
The limits of inclusion: navigating the tension between democracy and expertise in public engagement with science
P262
P265
1 paper proposal
Propose
Statistical Harmonization and Standardization: Constructing and Contesting Comparability
P275
1 paper proposal
Propose
How to Explain Erosion Rates to a Dead Hare: Or, What Counts as Soil Data in the Anthropocene?
P278
2 paper proposals
Propose
Materials and substances in (trans)formation: Methods and Concepts for Ethnographies and Histories of Late Industrialism
P284
1 paper proposal
Propose
Understanding the impact of decision-support AI technologies on medical practice: Learning from empirical studies.