Soumik Sarkar responded to the discussion topics each with a potential research question.
Definition of Scales
First of all, Scales can be defined spatial and temporal and may be event-driven, the question thus remains, how do you fuse information.
Based on the discussion during the workshop, how can data address cultural scales?
Research needs to be conducted into the interaction between scales with data analytics as the backbone.
Typology of cities—communities—circulation model/resource loop (CPS concept)—cities and rural—how do they exchange—cluster analysis—network analysis/connectivity, (unsupervised learning)
Economics relates to risk analysis and provides opportunity for insurance companies to integrate into the research.
New methods- exploration to allow convergence? We can’t expect all the disciplinary research processes to be equal. Maybe the independent sciences need to still operate separately with computer science to act as the connective tissue.
Biases—artificial data correlation
Data needs—raw data is not the issue, but how to process the date and the question is how to conduct—annotation, labeling—what’s cover crop, what’s ag drainage?
Open data—competitions—data/nomenclature standards—benchmarks
Satellite data—should we pay for it? Private/public data availability
Ethics—do we care how the data was collected?
LIDAR data availability
People integration into Research—communication of research to public
Planning grant are needed to test the best opportunities to integrate people into research due to lack of trust, lack of training.
Research programs should provide relevant experience in graduate school. The public should not be just source of data – they need to see a return.
This event is supported by the National Science Foundation, Award #1929601. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.