Zobrazeno 1 - 10
of 216
pro vyhledávání: '"Frauke Kreuter"'
Publikováno v:
Data & Policy, Vol 5 (2023)
Statistical profiling of job seekers is an attractive option to guide the activities of public employment services. Many hope that algorithms will improve both efficiency and effectiveness of employment services’ activities that are so far often ba
Externí odkaz:
https://doaj.org/article/222aa40fce9644a0bf4ce6e12822d00c
Autor:
Elena Badillo-Goicoechea, Ting-Hsuan Chang, Esther Kim, Sarah LaRocca, Katherine Morris, Xiaoyi Deng, Samantha Chiu, Adrianne Bradford, Andres Garcia, Christoph Kern, Curtiss Cobb, Frauke Kreuter, Elizabeth A. Stuart
Publikováno v:
BMC Public Health, Vol 21, Iss 1, Pp 1-12 (2021)
Abstract Background Guidelines and recommendations from public health authorities related to face masks have been essential in containing the COVID-19 pandemic. We assessed the prevalence and correlates of mask usage during the pandemic. Methods We e
Externí odkaz:
https://doaj.org/article/b1e9ed0335c444b3bfc47760c50083e3
Publikováno v:
Frontiers in Sociology, Vol 7 (2022)
Prediction algorithms are regularly used to support and automate high-stakes policy decisions about the allocation of scarce public resources. However, data-driven decision-making raises problems of algorithmic fairness and justice. So far, fairness
Externí odkaz:
https://doaj.org/article/53530bf0c49543a2903e936506017dbb
Publikováno v:
International Journal of Public Health, Vol 67 (2022)
Objectives: Real-time data analysis during a pandemic is crucial. This paper aims to introduce a novel interactive tool called Covid-Predictor-Tracker using several sources of COVID-19 data, which allows examining developments over time and across co
Externí odkaz:
https://doaj.org/article/6f16255dedd2478a828786cfb58f891f
Publikováno v:
Harvard Data Science Review (2022)
Externí odkaz:
https://doaj.org/article/46a784a787a84c0a8f02f417015c9315
Autor:
Kira E. Riehm, Elena Badillo Goicoechea, Frances M. Wang, Esther Kim, Luke R. Aldridge, Carly P. Lupton-Smith, Rachel Presskreischer, Ting-Hsuan Chang, Sarah LaRocca, Frauke Kreuter, Elizabeth A. Stuart
Publikováno v:
International Journal of Public Health, Vol 67 (2022)
Objectives: To examine the association of non-pharmaceutical interventions (NPIs) with anxiety and depressive symptoms among adults and determine if these associations varied by gender and age.Methods: We combined survey data from 16,177,184 adults f
Externí odkaz:
https://doaj.org/article/3cf8c4feca444fb982f6428951b178e3
Publikováno v:
Big Data & Society, Vol 9 (2022)
Academic and public debates are increasingly concerned with the question whether and how algorithmic decision-making (ADM) may reinforce social inequality. Most previous research on this topic originates from computer science. The social sciences, ho
Externí odkaz:
https://doaj.org/article/86c3e37af5f147728d694c34ef3a10f3
Publikováno v:
Harvard Data Science Review (2021)
Externí odkaz:
https://doaj.org/article/b91baaf18c844b0f81c8f3d719d030c0
Autor:
Joseph W. Sakshaug, Jonas Beste, Mustafa Coban, Tanja Fendel, Georg-Christoph Haas, Sebastian Hülle, Yuliya Kosyakova, Corinna König, Frauke Kreuter, Benjamin Küfner, Bettina Müller, Christopher Osiander, Silvia Schwanhäuser, Gesine Stephan, Ehsan Vallizadeh, Marieke Volkert, Claudia Wenzig, Christian Westermeier, Cordula Zabel, Stefan Zins
Publikováno v:
Survey Research Methods, Vol 14, Iss 2 (2020)
The COVID-19 pandemic and associated government lockdown restrictions have fueled a high demand for survey data on how individuals and establishments are coping with the restrictions. However, the pandemic has also dramatically affected surveys thems
Externí odkaz:
https://doaj.org/article/497eaf647bf14b7abfa500b55c35c730
Autor:
Frauke Kreuter, Neta Barkay, Alyssa Bilinski, Adrianne Bradford, Samantha Chiu, Roee Eliat, Junchuan Fan, Tal Galili, Daniel Haimovich, Brian Kim, Sarah LaRocca, Yao Li, Katherine Morris, Stanley Presser, Tal Sarig, Joshua A. Salomon, Kathleen Stewart, Elizabeth A. Stuart, Ryan Tibshirani
Publikováno v:
Survey Research Methods, Vol 14, Iss 2 (2020)
This paper describes a partnership between Facebook and academic institutions to create a global COVID-19 symptom survey. The survey is available in 56 languages. A representative sample of Facebook users is invited on a daily basis to report on symp
Externí odkaz:
https://doaj.org/article/d9663bee1f8044b098258e6fca65c65d