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Show me the data*
Rich Pauloo
PhD (2020) | Hydrogeologist | Data Scientist
*clean, standardized, documented, data in an API for sustainable groundwater management
Helen Dahlke
Graham Fogg
Alvar Escriva-Bou
Amanda Fencl
Hervé Guillon
Team
Agenda
1. The Challenge
2. Open data alone won’t save us
3. Domestic well failure
4. Transformative technologies
5. Take away message
2040
The Challenge: 5,000 days to groundwater sustainability
7,437
The Challenge: 5,000 days to groundwater sustainability
5,298
The Challenge: 5,000 days to groundwater sustainability
Why [open] data?
Data of the right type and amount
constrains our uncertainty
of the systems we manage in order to
make critical decisions.
Open data alone won’t save us
338 GSAs
making critical
decisions
Open data isn’t enough
We need to use data to constrain
uncertainty and make critical decisions.
Thoughtfully prepared data:
● Clean
● Standardized schemas for
optimized queries
● Clear documentation
● API
open data in
.dbf and .xlsx
files from 1990
without metadata
thoughtfully
prepared
open data
Open data alone won’t save us
bit.ly/drywells
Problem: 2,027 dry wells
during 2012-2016 drought,
impacting underserved
communities.
Approach: use open data,
AI, and domain knowledge to
predict observed well
failures, and forecast future
well failures.
Domestic well failure: an example of open data for groundwater sustainability
Donna Johnson, 70 (L) lifts pallets of donated bottled water from the back of her truck during her daily
delivery run to residents whose wells have run dry, with resident Gabriel Tapia, 31, in Porterville,
California October 14, 2014. Picture taken October 14, 2014. Photograph: Reuters/Lucy Nicholson.
How does a well go dry?
Domestic well failure: an example of open data for groundwater sustainability
Dry well predictions
Domestic well failure: an example of open data for groundwater sustainability
Data Debt
Well construction
Observed dry wells
Groundwater level
Domestic well failure: an example of open data for groundwater sustainability
Open Clean Standardized Metadata API
Technologies that will transform sustainable
groundwater management
● APIs (data infrastructure)
● AI
● Internet of things (IoT)
● Cloud computing
● Remote sensing
● Blockchain (smart contracts)
Transformative technologies
Technologies that will transform sustainable
groundwater management
● APIs (data infrastructure)
● AI
● Internet of things (IoT)
● Cloud computing
● Remote sensing
● Blockchain (smart contracts)
Transformative technologies
Beware
All the data and AI in the world won’t replace domain knowledge.
Domain knowledge alone won’t save us either. Combining the two will.
Transformative technologies
Summary
● 5,000 days to sustainable groundwater management in California. Make
sound data decisions now to improve outcomes tomorrow.
● Open data is a good start, but it’s not enough.
● Avoid data debt by making useful data. Useful data is clean, standardized,
documented, and accessible via programming languages (API).
● Neither Data/AI or domain knowledge alone is enough. We need both.
● We must build a culture of data literacy to achieve groundwater sustainability.
Take away message
Thank you.
richpauloo.github.io
@RichPauloo
bit.ly/drywells

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Show me the data

  • 1. Show me the data* Rich Pauloo PhD (2020) | Hydrogeologist | Data Scientist *clean, standardized, documented, data in an API for sustainable groundwater management
  • 2. Helen Dahlke Graham Fogg Alvar Escriva-Bou Amanda Fencl Hervé Guillon Team
  • 3. Agenda 1. The Challenge 2. Open data alone won’t save us 3. Domestic well failure 4. Transformative technologies 5. Take away message
  • 4. 2040 The Challenge: 5,000 days to groundwater sustainability
  • 5. 7,437 The Challenge: 5,000 days to groundwater sustainability
  • 6. 5,298 The Challenge: 5,000 days to groundwater sustainability
  • 7. Why [open] data? Data of the right type and amount constrains our uncertainty of the systems we manage in order to make critical decisions. Open data alone won’t save us 338 GSAs making critical decisions
  • 8. Open data isn’t enough We need to use data to constrain uncertainty and make critical decisions. Thoughtfully prepared data: ● Clean ● Standardized schemas for optimized queries ● Clear documentation ● API open data in .dbf and .xlsx files from 1990 without metadata thoughtfully prepared open data Open data alone won’t save us
  • 9. bit.ly/drywells Problem: 2,027 dry wells during 2012-2016 drought, impacting underserved communities. Approach: use open data, AI, and domain knowledge to predict observed well failures, and forecast future well failures. Domestic well failure: an example of open data for groundwater sustainability Donna Johnson, 70 (L) lifts pallets of donated bottled water from the back of her truck during her daily delivery run to residents whose wells have run dry, with resident Gabriel Tapia, 31, in Porterville, California October 14, 2014. Picture taken October 14, 2014. Photograph: Reuters/Lucy Nicholson.
  • 10. How does a well go dry? Domestic well failure: an example of open data for groundwater sustainability
  • 11. Dry well predictions Domestic well failure: an example of open data for groundwater sustainability
  • 12. Data Debt Well construction Observed dry wells Groundwater level Domestic well failure: an example of open data for groundwater sustainability Open Clean Standardized Metadata API
  • 13. Technologies that will transform sustainable groundwater management ● APIs (data infrastructure) ● AI ● Internet of things (IoT) ● Cloud computing ● Remote sensing ● Blockchain (smart contracts) Transformative technologies
  • 14. Technologies that will transform sustainable groundwater management ● APIs (data infrastructure) ● AI ● Internet of things (IoT) ● Cloud computing ● Remote sensing ● Blockchain (smart contracts) Transformative technologies
  • 15. Beware All the data and AI in the world won’t replace domain knowledge. Domain knowledge alone won’t save us either. Combining the two will. Transformative technologies
  • 16. Summary ● 5,000 days to sustainable groundwater management in California. Make sound data decisions now to improve outcomes tomorrow. ● Open data is a good start, but it’s not enough. ● Avoid data debt by making useful data. Useful data is clean, standardized, documented, and accessible via programming languages (API). ● Neither Data/AI or domain knowledge alone is enough. We need both. ● We must build a culture of data literacy to achieve groundwater sustainability. Take away message