Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Jacob Ritchie"'
Autor:
Benjamin Hurt, Oishee Bintey Hoque, Finn Mokrzycki, Anjali Mathew, Maryann Xue, Luka Gabitsinashvili, Haile Mokrzycki, Ranya Fischer, Nicholas Telesca, Lauren Aurelia Xue, Jacob Ritchie, J. D. Zamfirescu-Pereira, Michael Bernstein, Mark Whiting, Madhav Marathe
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-10 (2023)
Abstract Understanding the scope, prevalence, and impact of the COVID-19 pandemic response will be a rich ground for research for many years. Key to the response to COVID-19 was the non-pharmaceutical intervention (NPI) measures, such as mask mandate
Externí odkaz:
https://doaj.org/article/9c43b4628db644cba74afcb9b96d4ca3
Publikováno v:
MedEdPublish, Vol 9, Iss 1 (2020)
Problem: Based on a specific community benefit analysis of Greenville, South Carolina, we identified the Dunean community with its increased prevalence of health inequities with respect to access to health care, poverty burden, and disease mortali
Externí odkaz:
https://doaj.org/article/773f99f9b6fd49b98d1448b1ee79a8ef
Autor:
Alan Y. Cheng, Jacob Ritchie, Niki Agrawal, Elizabeth Childs, Cyan DeVeaux, Yubin Jee, Trevor Leon, Bethanie Maples, Andrea Cuadra, James A. Landay
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Autor:
Yimeng Liu, Jacob Ritchie, Sven Kratz, Misha Sra, Brian A. Smith, Andrés Monroy-Hernández, Rajan Vaish
Publikováno v:
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems.
Autor:
Jeremy Barenholtz, Jacob Ritchie, Xinwei Yao, Kayvon Fatahalian, Michaela Murray, Will Crichton, Daniel Y. Fu, Geraldine Moriba, Maneesh Agrawala, Haotian Zhang, James Hong, Ben Hannel
Publikováno v:
KDD
Cable (TV) news reaches millions of US households each day. News stakeholders such as communications researchers, journalists, and media monitoring organizations are interested in the visual content of cable news, especially who is on-screen. Manual
Publikováno v:
Wang, Z, Ritchie, J, Zhou, J, Chevalier, F & Bach, B 2021, ' Data Comics for Reporting Controlled User Studies in Human-Computer Interaction ', IEEE Transactions on Visualization and Computer Graphics, vol. 27, no. 2, pp. 967-977 . https://doi.org/10.1109/TVCG.2020.3030433
Inspired by data comics, this paper introduces a novel format for reporting controlled studies in the domain of human-computer interaction (HCI). While many studies in HCI follow similar steps in explaining hypotheses, laying out a study design, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21f2a9a2ab77419528e0d38f6807e8cd
https://hdl.handle.net/20.500.11820/09b123ed-c649-422e-95bb-2c52adce564b
https://hdl.handle.net/20.500.11820/09b123ed-c649-422e-95bb-2c52adce564b
Inspired by data comics, this paper introduces a novel format for reporting controlled studies in the domain of human-computer interaction (HCI). While many studies in HCI follow similar steps in explaining hypotheses, laying out a study design, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d027da50d07216c9460fe86d8f4cd8b2
https://doi.org/10.31219/osf.io/unmyj
https://doi.org/10.31219/osf.io/unmyj
Autor:
Isabel Delwel, Marissa L. Childs, Devin Kirk, Morgan P. Kain, Lisa I. Couper, Erin A. Mordecai, Nicole Nova, Jacob Ritchie, Mallory J Harris
Publikováno v:
Proceedings of the Royal Society B: Biological Sciences
Non-pharmaceutical interventions to combat COVID-19 transmission have worked to slow the spread of the epidemic but can have high socio-economic costs. It is critical we understand the efficacy of non-pharmaceutical interventions to choose a safe exi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15d376381205d81ee9a8f93ce58f8759
Autor:
Devin Kirk, Lisa I. Couper, Morgan P. Kain, Isabel Delwel, Mallory J Harris, Nicole Nova, Jacob Ritchie, Marissa L. Childs, Erin A. Mordecai, Alexander D. Becker
Publikováno v:
Proceedings of the Royal Society B: Biological Sciences. 288:20210811
Mathematical models of epidemics are important tools for predicting epidemic dynamics and evaluating interventions. Yet, because early models are built on limited information, it is unclear how long they will accurately capture epidemic dynamics. Usi
BACKGROUND Mental illness affects a significant portion of the worldwide population. Online mental health forums can provide a supportive environment for those afflicted and also generate a large amount of data that can be mined to predict mental hea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6761fbe099f628098de5e8930cc3e442
https://doi.org/10.2196/preprints.15371
https://doi.org/10.2196/preprints.15371