Simon David Hirsbrunner
Biographic Data
| ID | 4497637 |
|---|---|
| NAME | Simon David Hirsbrunner |
| GIVEN NAMES | Simon David |
| FAMILY NAME | Hirsbrunner |
| SIGNATURE | HIRSBRUNNER S D |
| AFFILIATIONS | University of Tübingen |
| ORCID | 0000-0001-5529-4171 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Contestation in artificial intelligence as a practice: From a system-centered perspective of contestability toward normative contextualization, situative critique and organizational culture
The mainstreaming of Artificial Intelligence (AI) in technologies of various application fields offers many opportunities, but also comes with a number of risks for data subjects, users, developers, intermediaries and other stakeholders. This includes, among other things, risks posed by technical unreliability, epistemic opacity, privacy intrusions and algorithmic discrimination. As a consequence, scholars of various academic disciplines have pro…
From critical technical practice to reflexive data science
In this article, we reconsider elements of Agre’s critical technical practice approach ( Agre, 1997 ) for critical technical practice approach for reflexive artificial intelligence (AI) research and explore ways and expansions to make it productive for an operationalization in contemporary data science. Drawing on Jörg Niewöhner’s co-laboration approach, we show how frictions within interdisciplinary work can be made productive for reflection. We…
Computational methods for climate change frame analysis: Techniques, critiques, and cautious ways forward
Frame analysis is a popular methodological paradigm to investigate how climate change is reported in the media, how it is negotiated by political actors, and perceived by publics. Its scope of application extends across various academic disciplines and transcends traditional boundaries of research such as those between quantitative and qualitative methods. Recent transformations of the media landscape have a strong influence on how frame analysis…
A New Science for Future: Climate Impact Modeling and the Quest for Digital Openness
Building on concepts from Science & Technology Studies, Simon David Hirsbrunner investigates practices and infrastructures of computer modeling and science communication in climate impact research. The book characterizes how scientists calculate future climate risks in computer models and scenarios, but also how they circulate their insights and make them accessible and comprehensible to others. By discussing elements such as infrastructures, vis…
Negotiating the Data Deluge on YouTube: Practices of Knowledge Appropriation and Articulated Ambiguity Around Visual Scenarios of Sea-Level Rise Futures
The present study aims at evaluating how YouTube users understand, negotiate and appropriate science-related knowledge on YouTube. It is informed by the qualitative analysis of post-video discussions around visual scenarios of sea-level rise (SLR) triggered by climate change. On the one hand, the SLR maps have an exemplary status as contemporary visualizations of climate change risks, beyond traditional image categories such as scientific or popu…
New Science for Future: Climate Impact Modeling and the Quest for Digital Openness
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A New Science for Future: Climate Impact Modeling and the Quest for Digital Openness
Building on concepts from Science & Technology Studies, Simon David Hirsbrunner investigates practices and infrastructures of computer modeling and science communication in climate impact research. The book characterizes how scientists calculate future climate risks in computer models and scenarios, but also how they circulate their insights and make them accessible and comprehensible to others. By discussing elements such as infrastructures, vis…
Negotiating the Data Deluge on YouTube: Practices of Knowledge Appropriation and Articulated Ambiguity Around Visual Scenarios of Sea-Level Rise Futures
The present study aims at evaluating how YouTube users understand, negotiate and appropriate science-related knowledge on YouTube. It is informed by the qualitative analysis of post-video discussions around visual scenarios of sea-level rise (SLR) triggered by climate change. On the one hand, the SLR maps have an exemplary status as contemporary visualizations of climate change risks, beyond traditional image categories such as scientific or popu…
New Science for Future: Climate Impact Modeling and the Quest for Digital Openness
From critical technical practice to reflexive data science
In this article, we reconsider elements of Agre’s critical technical practice approach ( Agre, 1997 ) for critical technical practice approach for reflexive artificial intelligence (AI) research and explore ways and expansions to make it productive for an operationalization in contemporary data science. Drawing on Jörg Niewöhner’s co-laboration approach, we show how frictions within interdisciplinary work can be made productive for reflection. We…
Computational methods for climate change frame analysis: Techniques, critiques, and cautious ways forward
Frame analysis is a popular methodological paradigm to investigate how climate change is reported in the media, how it is negotiated by political actors, and perceived by publics. Its scope of application extends across various academic disciplines and transcends traditional boundaries of research such as those between quantitative and qualitative methods. Recent transformations of the media landscape have a strong influence on how frame analysis…
Contestation in artificial intelligence as a practice: From a system-centered perspective of contestability toward normative contextualization, situative critique and organizational culture
The mainstreaming of Artificial Intelligence (AI) in technologies of various application fields offers many opportunities, but also comes with a number of risks for data subjects, users, developers, intermediaries and other stakeholders. This includes, among other things, risks posed by technical unreliability, epistemic opacity, privacy intrusions and algorithmic discrimination. As a consequence, scholars of various academic disciplines have pro…
Computer Science (4 works) · Engineering (3 works) · Epistemology (3 works) · Social science (3 works) · Sociology (3 works) · Climate change (2 works) · Climate Change Communication and Perception (2 works) · Data science (2 works) · Engineering ethics (2 works) · Ethics and Social Impacts of AI (2 works)