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Data Mining for Good
Jeanne Holm
University of California, Los Angeles
Big Data and Civic Innovation
September 16, 2015
+ 2
+ 3
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Kampala, Uganda
4
15
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Washington D.C.
16
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Los Angeles
26
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Open Data for Development
 SDGs
32
33
34
35
People Take Action
+ 38
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Releasing and using
open data is about
empowering people to
make better decisions
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41
42

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Jeanne Holm: Data Mining for Good - How Linked Data is Transforming Cities

Editor's Notes

  1. Web of data Linked data via SQL and RDF Inference through RIF and OWL Vocabularies with OWL and SKOS Query via SPARQL Vertical applications This week you’ll hear about excellent aspects of all of these, from technology advances to prototypes in specific sectors to sophisticated applications that ease the burden of detailed transactions that lead to greater understanding. Today, I want to focus on the ways in which the work you each do can and do affect the lives of citizens across the planet. From technologists to farmers, from politicians to start up business owners, people are capitalizing on the wave of the semantic web.
  2. Nampiira and her husband live in Lugazi district, near Kampala, Uganda. They own a small farm. Like you and I, they have hopes and dreams for themselves and their family. They want a stable income, a safe home, and a good education and future for their children. Each day they make decisions that will affect their future: what and when to plant, how to mitigate risk, and how to spend their money.
  3. They are often subject to the whims of weather. They want to build a well rather than gathering water at the river. Satellite imagery of storms APIs to data from space missions that show weather, land use, moisture levels in soil, and water on the surface and under the ground.
  4. One of the most important things is getting water at the farm
  5. Some of the decisions happen in Nampiira’s community without her knowledge. The crops she plants each year are partly determined by seed crop available and affordable. These can be identified by local businesses and seed companies through data gathered by crop viability, weather patterns, predicted blight, etc.
  6. Crowdsourcing of banana blight
  7. Access to crop prices (mFarm)
  8. Validate progress of road construction
  9. Mobile money for women’s saving group
  10. Send my child to school My daughter goes to college in Makerere and starts a new business based on open data for health care for maternal health Data integration from multiple sources Mapping seamlessly with geospatial data from many places Analytics Visualization Mobile push and pull as we migrate from SMS to smart phones in Africa
  11. Nampiira doesn’t have to change her culture, values, or dreams. What changes is that she is now confident in the decisions she makes, she is less worried about the future, and better able to handle the things that come up. Linked data truly can bring about change for all people.
  12. Africa Open Data Meet Up Africa Open Data Conference in Dar es Salaam, Tanzania, September 2-6, 2015 Code for Africa, School of Data, Ebola Data Jam, Open Data for Development, Web Foundation, +
  13. Provides developers tools and raw data formats to develop new capabilities Partnership with W3C: eGov Interest Group + activities, standards, and recommendations RPI for research in semantic web and open linked data Data hosted in the cloud Open source platform Builds on ontologies developed in specific areas Ontologies and schema adoption and augmentation with Schema.org, IEEE, ISO, AGU, OASIS, and others Crowdsourced folksonomies RPI and Professor Jim Hendler Lead for semantic web for Data.gov W3C leadership (w3c.org) Government Linked Data Working Group eGovernment Interest Group (join for free!) Government of India Shared leadership in open source platforms CKAN Co-developing components of the Open Government Platform Open Knowledge Foundation
  14. Worked to roll out Red Cross hurricane app the night of the storm
  15. 284 deaths, but could have been so much more
  16. First responder needs by parcel
  17. Evacuation risk and routes
  18. Most diverse city on the planet 9 million people 147 languages spoken
  19. Web of data Linked data via SQL and RDF Inference through RIF and OWL Vocabularies with OWL and SKOS Query via SPARQL Vertical applications This week you’ll hear about excellent aspects of all of these, from technology advances to prototypes in specific sectors to sophisticated applications that ease the burden of detailed transactions that lead to greater understanding. Today, I want to focus on the ways in which the work you each do can and do affect the lives of citizens across the planet. From technologists to farmers, from politicians to start up business owners, people are capitalizing on the wave of the semantic web.