Search (4 results, page 1 of 1)

  • × author_ss:"Fleischmann, K.R."
  • × type_ss:"a"
  • × year_i:[2020 TO 2030}
  1. Xie, B.; He, D.; Mercer, T.; Wang, Y.; Wu, D.; Fleischmann, K.R.; Zhang, Y.; Yoder, L.H.; Stephens, K.K.; Mackert, M.; Lee, M.K.: Global health crises are also information crises : a call to action (2020) 0.00 
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    Abstract
    In this opinion paper, we argue that global health crises are also information crises. Using as an example the coronavirus disease 2019 (COVID-19) epidemic, we (a) examine challenges associated with what we term "global information crises"; (b) recommend changes needed for the field of information science to play a leading role in such crises; and (c) propose actionable items for short- and long-term research, education, and practice in information science.
    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.12, S.1419-1423
  2. Slota, S.C.; Fleischmann, K.R.; Lee, M.K.; Greenberg, S.R.; Nigam, I.; Zimmerman, T.; Rodriguez, S.; Snow, J.: ¬A feeling for the data : how government and nonprofit stakeholders negotiate value conflicts in data science approaches to ending homelessness (2023) 0.00 
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    Abstract
    Governmental and organizational policy increasingly claims to be data-driven, data-informed, or knowledge-driven. We explore the data practices of local governments and nonprofits a seeking to end homelessness in the City of Austin. Drawing on 31 interviews with stakeholders, alongside the reflections and experiences of our interdisciplinary, cross-sector collaborative team, we consider the role of data in guiding and informing interventions and policy regarding homelessness. Ending homelessness is a particularly challenging scenario for intervention, with increasing politicization, changing circumstances, and needing rapid intervention to reduce harm. In exploring some implications of data science "in the wild" as it is deployed, understood, and supported within the Travis County Continuum of Care (CoC), we analyze how data-intensive work connects and engages across disciplinary boundaries. Furthermore, we consider how data science and the iField can collaborate in addressing complex, social problems as advisors and partners with invested organizations.
    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.6, S.727-741
  3. Slota, S.C.; Fleischmann, K.R.; Greenberg, S.; Verma, N.; Cummings, B.; Li, L.; Shenefiel, C.: Locating the work of artificial intelligence ethics (2023) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.3, S.311-322
  4. Verma, N.; Fleischmann, K.R.; Zhou, L.; Xie, B.; Lee, M.K.; Rich, K.; Shiroma, K.; Jia, C.; Zimmerman, T.: Trust in COVID-19 public health information (2022) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.12, S.1776-1792

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