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."

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

3. www.shellypalmer.com/data-science/

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

11. Workflow / Workbench

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.

19. storymaps.arcgis.com

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