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Im Fokus des TechnikRadar 2022 steht die Frage, wie die Deutschen die Möglichkeiten der digitalen Transformation im Gesundheitswesen beur­teilen.

Das TechnikRadar ist eine regelmäßige, bundesweit repräsentative Befragung. Als langfristig angelegtes Frühwarnsystem macht es Fehlentwicklungen des technolo­gischen Wandels rechtzeitig erkennbar oder weist auf einen besonderen Kommunikationsbedarf hin.
Zur Verfügung werden die Daten der repräsentativen Bevölkerungsbefragung gestellt.

Dieser Bericht beschreibt eine Expertenerhebung zum sozio-technischen Kontext der deutschen Energiewende und stellt ausgewählte Ergebnisse vor. Wesentliche sozio-technische Treiber des Energiesystems und dessen Entwicklung wurden identifiziert sowie alternative Zukünfte für jeden Treiber auf Basis von Literaturanalyse und Expertenbefragungen abgeleitet. Die wechselseitigen Beziehungen zwischen den möglichen Zukünften der Treiber wurden in einer Reihe von Experteninterviews unter Verwendung der Cross-Impact Bilanz Analyse abgeschätzt. Eine vorläufige Evaluation der Rohdaten ergab insgesamt 565 konsistente Kontextszenarien. Bevor jedoch endgültige Ergebnisse abgeleitet werden können, ist eine weitere Konsolidierung der Daten notwendig. ; An expert survey about the socio-technical context of the German Energy Transforamtion is described and selected results are reported. Major socio-technical drivers of the energy system and its evolution were identified, alternative futures for each driver were derived based on literature review and expert questioning. Using the framework of Cross-Impact Balance Analysis, the interrelations between the possible futures of the drivers were estimated by a series of expert interviews. A preliminary evaluation of the raw data resulted in 565 consistent context scenarios. Further data consolidation is necessary, however, before final results can be derived.

Energy conversion is a major source of greenhouse gas (GHG) emissions, and energy transition scenarios are a key tool for gaining a greater understanding of the possible pathways toward climate protection. There is consensus in energy research that political and societal framework conditions will play a pivotal role in shaping energy transitions. In energy scenario construction, this perspective is increasingly acknowledged through the approach of informing model-based energy analysis with storylines about societal futures, an exercise we call "socio-technical energy scenario construction" in this article. However, there is a dispute about how to construct the storylines in a traceable, consistent, comprehensive, and reproducible way. This study aims to support energy researchers considering the use of the concept of socio-technical scenarios in two ways: first, we provide a state-of-the-art analysis of socio-technical energy scenario construction by comparing 16 studies with respect to five categories. Second, we address the dispute regarding storyline construction in energy research and examine 13 reports using the Cross-Impact Balances method. We collated researcher statements on the strengths and challenges of this method and identified seven categories of promises and challenges each

"Using German and British panel data, we analyse the impact of transitions from unemployment to full-time employment on life satisfaction, with special focus on the influence of job quality. On average there are pronounced positive effects of a new job in both countries, even after controlling for income changes and other factors. These effects are smaller for people taking up low-paid jobs (in Germany, but not in Britain) or temporary jobs, but even this group is significantly better off compared to people remaining unemployed in both countries. We also use job satisfaction as an alternative indicator of job quality. Re-employed persons with low job satisfaction scores are not likely to experience a significant rise in life satisfaction." (author's abstract)

The transformation of the energy system is a highly complex process involving many dimensions. Energy system models help to understand the process and to define either target systems or policy measures. Insights derived from the social sciences are not sufficiently represented in energy system models, but address crucial aspects of the transformation process. It is, therefore, necessary to develop approaches to integrate results from social science studies into energy system models. Hence, as a result of an interdisciplinary discourse among energy system modellers, social scientists, psychologists, economists and political scientists, this article explains which aspects should be considered in the models, how the respective results can be collected and which aspects of integration into energy system models are conceivable to provide an overview for other modellers. As a result of the discourse, five facets are examined: Investment behaviour (market acceptance), user behaviour, local acceptance, technology innovation and socio-political acceptance. Finally, an approach is presented that introduces a compound of energy system models (with a focus on the macro and micro-perspective) as well as submodels on technology genesis and socio-political acceptance, which serves to gain a more fundamental knowledge of the transformation process.