14 results match your criteria: "Humboldt Institute for Internet and Society[Affiliation]"
Amidst tremendous changes in the worlds of work in light of digitalization, non-attachmental work designs, where individuals gain income without being bound by a fixed administrative attachment to an employer, hold promises of self-actualization along with threats of insecurity. Today's technology boom and the consequent flexibility and uncertainty it brings into workers' lives may translate into inspiring growth opportunities or overloading pressure, contingent upon mental health and wellbeing impacts. This paper first provides a conceptualization of the non-attachmental work designs of the 21st century, before proceeding to an extensive mapping of literature at their intersection with psychological health.
View Article and Find Full Text PDFPLoS One
October 2022
Oxford Internet Institute, University of Oxford, Oxford, United Kingdom.
The Covid-19 pandemic has led to the rise of digitally enabled remote work with consequences for the global division of labour. Remote work could connect labour markets, but it might also increase spatial polarisation. However, our understanding of the geographies of remote work is limited.
View Article and Find Full Text PDFFront Psychol
March 2022
Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, Germany.
Sharing economy platforms mediate exchanges between service providers and consumers. The experiences of service providers in the sharing economy have been extensively studied. Nevertheless, our knowledge in regard to the extent to which providers' participation influences their wellbeing remains incomplete.
View Article and Find Full Text PDFInt J Educ Technol High Educ
September 2021
Global Learning Council/Leibniz Association, Chausseestraße 111, 10115 Berlin, Germany.
Unlabelled: The edtech community has promoted claims that digital education enhances access, learning, and collaboration. The COVID-19 pandemic tested these claims like never before, as higher education systems seemingly overnight had to move teaching online. Through a sequential mixed-method approach, we investigated how 85 higher education leaders in 24 countries experienced this rapid digital transformation.
View Article and Find Full Text PDFFront Res Metr Anal
July 2021
Research Program Knowledge and Society, Alexander von Humboldt Institute for Internet and Society, Berlin, Germany.
Science is increasingly expected to help in solving complex societal problems in collaboration with societal stakeholders. However, it is often unclear under what conditions this can happen, i.e.
View Article and Find Full Text PDFPLoS One
November 2021
Alexander von Humboldt Institute for Internet and Society, Berlin, Germany.
Based on a communication-centered approach, this article examines how researchers approach societal impact, that is, what they think about societal impact in research governance, what their societal goals are, and how they use communication formats. Hence, this study offers empirical evidence on a group that has received remarkably little attention in the scholarly discourse on the societal impact of research-academic researchers. Our analysis is based on an empirical survey among 499 researchers in Germany conducted from April to June 2020.
View Article and Find Full Text PDFPLoS One
September 2021
Harding Center for Risk Literacy, Faculty of Health Sciences Brandenburg, Potsdam, Germany.
Numerous health insurers offer bonus programmes that score customers' health behaviour, and car insurers offer telematics tariffs that score driving behaviour. In many countries, however, only a minority of customers participate in these programmes. In a population-representative survey of private households in Germany (N = 2,215), we study the acceptance of the criteria (features) on which the scoring programmes are based: the features for driver scoring (speed, texting while driving, time of driving, area of driving, accelerating and braking behaviour, respectively) and for health scoring (walking distance per day, sleeping hours per night, alcohol consumption, weight, participation in recommended cancer screenings, smoking status).
View Article and Find Full Text PDFBMC Proc
December 2020
Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany.
Stud Health Technol Inform
June 2020
Berlin Institute of Health (BIH), Germany.
The cryptographic method Secure Multi-Party Computation (SMPC) could facilitate data sharing between health institutions by making it possible to perform analyses on a "virtual data pool", providing an integrated view of data that is actually distributed - without any of the participants having to disclose their private data. One drawback of SMPC is that specific cryptographic protocols have to be developed for every type of analysis that is to be performed. Moreover, these protocols have to be optimized to provide acceptable execution times.
View Article and Find Full Text PDFPLoS One
October 2017
German Institute for Economic Research, Berlin, Germany.
It is widely acknowledged that data sharing has great potential for scientific progress. However, so far making data available has little impact on a researcher's reputation. Thus, data sharing can be conceptualized as a social dilemma.
View Article and Find Full Text PDFCrowd science is scientific research that is conducted with the participation of volunteers who are not professional scientists. Thanks to the Internet and online platforms, project initiators can draw on a potentially large number of volunteers. This crowd can be involved to support data-rich or labour-intensive projects that would otherwise be unfeasible.
View Article and Find Full Text PDFScience
March 2016
German Institute for Economic Research, 10117, Berlin, Germany. Max Planck Institute for Human Development, 14195, Berlin, Germany.
PLoS One
January 2016
German Socio-Economic Panel, German Institute for Economic Research, Berlin, Germany.
Despite widespread support from policy makers, funding agencies, and scientific journals, academic researchers rarely make their research data available to others. At the same time, data sharing in research is attributed a vast potential for scientific progress. It allows the reproducibility of study results and the reuse of old data for new research questions.
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