Symposium on Frontiers in Geospatial Data Science: Uncertainty and Bias in Geospatial Data Science

Type: Panel
Theme:
Sponsor Groups:
Poster #:
Day: 4/6/2019
Start / End Time: 1:10 PM / 2:50 PM (MDT)
Room: Roosevelt 1, Marriott, Exhibition Level
Organizers: Dandong Yin, Shaowen Wang, Jing Gao
Chairs: Jing Gao

Description

Panelists:

John P. Wilson spatial.usc.edu/team-view/john-p-wilson

Karen Kemp spatial.usc.edu/team-view/karen-kemp

Alex de Sherbinin www.columbia.edu/~amd155

Antoinette Winklerprins antoinette.winklerprins.us/?/bio


Session Rundown:

5 min – intro to topic & panelists

50 min – moderated discussion

Sample Questions:
What are the biggest unknown about geospatial data uncertainty right now?
In today's increasingly interdisciplinary research environment, integrating diverse data (environmental and socioeconomic) is the norm, what are your recommendations for best practice in integrative data analyses?
What should we educate students in Geospatial Data Science about uncertainties?
How would you envision common practice surrounding geospatial data uncertainty might change in the next ten years?
40 min – Q&A with audience

5 min – conclusion


Agenda

Type Details Minutes
Panelist Alex De Sherbinin CIESIN, The Earth Institute at Columbia University 20
Panelist Karen Kemp University of Southern California 20
Discussant John Wilson University Of Southern California 20
Panelist Antoinette WinklerPrins National Science Foundation 20

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