Citizen Science with Python

Given at PyConLT 2019, I talk on dirty air analysis in North Macedonia, monitoring relocated Orangutangs with drones and SciPy, improving child-birth with scikit-learn and improving political engagement with R and Python.

Transcript

1. Citizen Science with Python
   @IanOzsvald – ianozsvald.com
   Ian Ozsvald
   PyConLT 2019 Keynote
   

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2. 
   Interim Chief Data Scientist
   
   19+ years experience
   
   How do we “do good” with data?
   Introductions
   By [ian]@ianozsvald[.com] Ian Ozsvald
   

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3. 
   Short stories on Citizen Science
   
   Tips for how you could do the same
   
   Short demo
   Goals today
   By [ian]@ianozsvald[.com] Ian Ozsvald
   

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4. Macedonian air quality
   By [ian]@ianozsvald[.com] Ian Ozsvald
   The “smelly fog” in Skopje
   Gorjan Jovanovski (when 21)
   Government open data showed “4* more pollution than
   Beijing and 20* EU limits”
   www.theair.app
   Photo: https://www.facebook.com/ilijoski
   

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5. 
   Initially a JSON dump
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   1 mil. People in 1 mo.
   
   Visualisation in Parliament
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   Challenged by a Minister
   
   Drove Government policy
   Political debate and change
   By [ian]@ianozsvald[.com] Ian Ozsvald
   

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6. 
   Get a public dataset – most people can’t but you can
   
   Load it, investigate
   
   Make some graphs with matplotlib
   
   Can you tell a story?
   How to start?
   By [ian]@ianozsvald[.com] Ian Ozsvald
   

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7. Updating outdated medical results
   By [ian]@ianozsvald[.com] Ian Ozsvald
   

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8. Updating outdated medical results
   By [ian]@ianozsvald[.com] Ian Ozsvald
   
   Friedman 1955
   
   Stages of labour
   by cervix dilation
   
   Different drugs,
   ages, technologies
   
   Significant medical
   decisions based on the result
   

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9. Updating outdated medical results
   By [ian]@ianozsvald[.com] Ian Ozsvald
   

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10. Actionable results
    By [ian]@ianozsvald[.com] Ian Ozsvald
    First or ‘many’ births?
    Weight (before delivery)
    Age
    

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11. 
    Check for out-dated assumptions
    
    Gather data & visualise
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    Produce simple models (if/then models are great!)
    
    Build up iteratively as you gain trust
    How to start?
    By [ian]@ianozsvald[.com] Ian Ozsvald
    

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12. 
    Dirk Gorissen – track 6 Orangutangs in 2000 km^2 of
    Bornean jungle
    
    Radio pings, drones and signal processing
    Where’s Bunga the Orangutang
    By [ian]@ianozsvald[.com] Ian Ozsvald
    

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13. 
    Sw Defined Radio, Python processing
    
    Automated flight paths
    
    SEE VIDEO
    
    Success on second round!
    Where’s Bunga the Orangutang
    By [ian]@ianozsvald[.com] Ian Ozsvald
    https://dirkgorissen.com/2019/01/06/wheres-pinoh-tracking-orangutans-with-drones-and-gnu-radio/
    

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14. 
    Automate a manual process
    
    Note – drones are complex, don’t start here!
    
    Collect data, analyse, visualise signal, make decisions
    How to start?
    By [ian]@ianozsvald[.com] Ian Ozsvald
    

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15. 
    Hackathon
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    Can we get more people registered to vote?
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    Using only open data and adwords
    
    Thanks Alex, Emiliano, Harry, John, Laurens, Nick
    Improving political engagement
    By [ian]@ianozsvald[.com] Ian Ozsvald
    

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16. Improving political engagement
    By [ian]@ianozsvald[.com] Ian Ozsvald
    

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17. Improving political engagement
    By [ian]@ianozsvald[.com] Ian Ozsvald
    

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18. 
    Jupyter Notebooks and open data
    
    Can we challenge a Guardian news article and fix it?
    
    Thanks to Tom Forth @thomasforth
    Short demo
    By [ian]@ianozsvald[.com] Ian Ozsvald
    

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19. 
    Tell useful data stories
    
    Where’s PyData Vilnius? Start it?
    
    Thank your organisers & speakers!
    
    Send me a postcard if I taught you something?
    Summary
    By [ian]@ianozsvald[.com] Ian Ozsvald
    

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20. “Monitoring Personal Air Quality”
    By [ian]@ianozsvald[.com] Ian Ozsvald
    Github.com/OxygenLithium
    PyLondinium 2018 talk by Robin & Oliver
    

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