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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, visualizations, models, software and data, the chapters show how computational modeling practices are currently changing in light of digital transformations and expectations for an open science. A number of inventive research devices are proposed to capture both the fluidity and viscosity of contemporary digital technology.

Building on concepts from Science & Technology Studies, the author 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, visualizations, models, software and data, the chapters show how computational modeling practices are currently changing in light of digital transformations and expectations for an open science. A number of inventive research devices are proposed to capture both the fluidity and viscosity of contemporary digital technology.

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 popular imagery. YouTube, on the other hand, is a convenient media environment to investigate the situated appropriation of such visual knowledge, considering its increasing relevance as a navigational platform to provide, search, consume and debate science-related information. The paper draws on media practice theory and operationalizes digital methods and qualitative coding informed by Grounded Theory. It characterizes a number of communicative practices of articulated knowledge appropriation regarding climate knowledge. This includes "locating impacts," "demanding representation," "envisioning further," "debating future action," "relativizing the information," "challenging the reality of anthropogenic climate change," "embedding popular narratives," "attributing to politics," and "insulting others." The article then discusses broader questions posed by the comments and related to the appropriation and discursive negotiation of knowledge within online video-sharing platforms. Ambiguity is identified as a major feature within the practice of science-related information retrieval and knowledge appropriation on YouTube. This consideration then serves as an opportunity to reconsider the relationship between information credibility and knowledge appropriation in the age of the digital. Findings suggest that ambiguity of information can have a positive impact on problem definition, future imagination and the discursive negotiation of climate change.

This article discusses fairness in artificial intelligence (AI) based policing procedures using facial recognition as an example. Algorithmic decisions based on discriminatory dynamics can (re)produce and automate injustice. AI fairness here concerns not only the creation and sharing of datasets or the training of models but also how systems are deployed in the real world. Quantifying fairness can distract rom how discrimination and oppression translate concretely into social phenomena. Integrative approaches can help actively incorporate ethical, legal, social, and economic factors into technology development to more holistically assess the consequences of deployment through continuous interdisciplinary collaboration.

Die Handreichung ist das Ergebnis eines Workshops der Forschungsgruppe "Digitalisierung der Wissenschaft" am Weizenbaum-Institut in Berlin am 17. Januar 2020. Ziel dieser Handreichung ist es, grundsätzliche Einstiegsfragen zum Thema Öffnen und Teilen von qualitativen Forschungsdaten zu beantworten. Dabei verstehen wir unter Öffnen und Teilen die Zugänglichmachung zur Sekundärnutzung für andere Forschende. In dieser Handreichung werden wir auf die Unterschiede zwischen verschiedenen Forschungsfeldern und deren Eigenheiten im Umgang mit qualitativen Forschungsdaten eingehen und dabei auch die Unterschiedlichkeit verschiedener Datensorten berücksichtigen (z.B. Interviewtranskripte, Videoaufzeichnungen, Beobachtungsprotokolle, Primär- und Kontextdaten).

This work has been funded by the Federal Ministry of Education and Research of
Germany (BMBF) (grant no.: 16DII121, 16DII122, 16DII123, 16DII124, 16DII125,
16DII126, 16DII127, 16DII128 - "Deutsches Internet-Institut").

Diese Arbeit wurde durch das Bundesministerium für Bildung und Forschung (BMBF) gefördert (Förderkennzeichen: 16DII111, 16DII112, 16DII113, 16DII114, 16DII115, 16DII116, 16DII117 - "Deutsches Internet-Institut").

Während Klimaforschung lange als rein naturwissenschaftliches Unterfangen galt, wird sie seit den 2010er Jahren zunehmend auch in den Sozialwissenschaften betrieben. Die Popularisierung in und außerhalb der Wissenschaft hat dabei nicht nur zu neuen Problembezügen geführt, sondern auch eine wachsende Unübersichtlichkeit produziert: Es ist ein Bedarf entstanden, disziplinäre Einstiegspunkte, interdisziplinäre Anschlussmöglichkeiten und transdisziplinäre Austauschgelegenheiten zu sondieren. Die Beiträger*innen des Bandes rezensieren zentrale Schlüsselwerke der sozialwissenschaftlichen Klimaforschung und ermöglichen so einen ersten Zugang zum sowie eine Orientierung im Forschungsfeld