The Perils and Promise of Environmental Data Science
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Keynote address delivered in April 2019 to the Yale School of Forestry & Environmental Studies, during their annual research conference. "The mission of the Annual F&ES Research Conference is to provide a forum for research degree students and postdocs to share their original work with the F&ES community, as well as with the broader Yale and New Haven communities. After the success of last year's partnership with Yale Pathways to Science, we will again open conference attendance to local high school students and host events emphasizing research communication. Our aim is for the conference to facilitate interdisciplinary communication and collaboration both within the School and beyond the walls of Kroon."
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The Perils and Promise of Environmental Data Science
- 1. The Perils and Promise of Data Science for Environmental Scholarship Dawn Wright, Ph.D. Chief Scientist, Environmental Systems Research Institute (aka Esri) Courtesy Professor of Geography & Oceanography, Oregon State University 35th Forestry & Environmental Studies Research Conference Yale University April 11, 2019
- 2. Environmental Stewardship EcohydrologyUrban / Industrial Ecology Meteorology, Climate Science and Communication Sustainability Science Forestry Economics Urban Planning Biogeochemistry
- 4. Analysis starts with a question . . . Analysis ResultsExplore Clean / Structure Enrich DistillQuestion See the problem. What can it answer? What’s missing? Identify key stories.
- 5. DiagnosticDescriptive Predictive Why Did It Occur?What Occurred? Where and When? What Will Occur? Where and When? What Do We Do About It? Prescriptive Deeper InsightsHindsight Foresight Data Science ANALYTICS Advanced Analysis, Scientific Methods, Tools, Algorithms
- 6. The 3 Stages of Data Science Data Sourcing Data Formatting Data Storage Data Size Data Flow Data Transformation Data Validation Data Enrichment Colocation of Data Feature Engineering Build, Fit and Validate Model Run, Explore Alternatives Develop, Evaluate, Deploy Generate, Share, Rerun Findings Create Information Products Interact, Collaborate, Integrate D ATA P R E PA R AT I O N A N A LY S I S D I S S E M I N AT I O NA N A LY S I S D I S S E M I N AT I O ND ATA P R E PA R AT I O ND ATA P R E PA R AT I O N A N A LY S I S D I S S E M I N AT I O N
- 7. “Yer off the edge of the map, mate. Here there be monsters!” -- Captain Barbossa, Pirates of the Caribbean: The Curse of the Black Pearl
- 8. Nature, Feb 2019 Feb 2019 Nature, May 2016 Nature Comm, Sep 2018 Nature, Aug 2018 Science, Aug 2017
- 10. Hallmarks of Reproducibility & Replicability? Traditional “Laboratory Bench” Science All photos courtesy Instagram: @circe_verba
- 12. Environmental Data Science D ATA P R E PA R AT I O N A N A LY S I S D I S S E M I N AT I O N Notebook Server
- 14. http://www.lib.cam.ac.uk/dataman/pages/preservation.html and courtesy of Mark Gahegan, Centre for eResearch, U. of Auckland
- 15. Environmental Data Science Analytic Engines Python Notebooks D ATA P R E PA R AT I O N A N A LY S I S D I S S E M I N AT I O N Notebook Server
- 17. “Once upon a time . . .”
- 18. “Stories are data with a soul . . . persuasive and memorable.” Nancy Baron | Director of Science Outreach COMPASS Science Communication, Inc.
- 20. More Perspective esriurl.com/datascience These Slides esriurl.com/yalefes Contact Dawn Wright, dwright@esri.com Twitter: @deepseadawn
- 21. Extra Slides
- 23. Esri Geo-Enabled Systems Esri Geospatial Cloud Insights Hub Mission Awareness Excalibur UrbanIndoors Spatial BI Engagement Collaboration Image Exploitation Urban Planning Indoor Mapping Directly Supporting Focused Workflows And without the need for in-depth GIS knowledge
- 24. ArcGIS Urban | Integrated City Planning and Design Baseline Suitability Impact Evaluations Indicators Plans Zoning Land Use Projects Buildings Infrastructure • Government • AEC • Real Estate • Citizens Stakeholders Immersive Create Planning Scenarios Engage Citizens ArcGIS Urban Track and Evaluate Projects
- 25. • Open Science Libraries • All Types of Data • ArcGIS API for Python • Analytic Servers Integrating A Workbench for R&R within the World of Open Science Hosted Python Notebooks | For Integration, Modeling, and Automation Scripting Providing Notebooks as an Item . . . and ArcPy Geoprocessing in a Server Organizes • Code • Data • Visualization • Documentation Data Stores/LakesOpen Science Libraries New Analytic Servers (Image, Geoanalytics, Spatial) Notebook Server ArcGIS Enterprise