center for effective global action
TRANSCRIPT
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CENTER FOR EFFECTIVE GLOBAL ACTION An analytics engine for global development
Temina Madon Hacking Measurement 27 August 2015
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West Coast network, global presence
60+ Researchers across !9 universities!
40+ Countries with !active trials!
70 Investments in!10 different sectors!
20 Visiting scholars (talent)brought to the US since 2010!
Headquarters at UC Berkeley
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Data analytics for development…
We build portfolios of rigorous product trials, in different sectors:
Climate & Energy Education Institutions Health Financial Inclusion
Tech & Infrastructure Agriculture Measurement Transparency Global Networks
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Development engineering Development Engineering is an approach for the design of technologies that advance economic development in very low-resource settings.
The approach links the design of technologies with social or economic interventions that facilitate scale-up and impact. It leverages insights from development economics to address the unique market failures, institutional weaknesses, and behavioral constraints found in developing countries.
Development engineers also use remote sensing, digital data streams, and other advanced measurement techniques to more reliably track the outcomes of development interventions.
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Journal: Development Engineering
• h"p://www.journals.elsevier.com/development-‐engineering
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Learning from failure…
Source: Ken Lee, UC Berkeley
Mo4va4on?
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Moving away from the status quo
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1990s/2000: Randomiza4on
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Repor>ng Bias
Human Errors
Costly Infrequent
Fundamental Issues with Tradi2onal Data Collec2on Methods:
Now: Revolu4onize measurement
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Accurate Unbiased Cheaper Frequent
Innova4on in Data Capture
Prospects of Newer Sensing Technologies:
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The Goldilocks Project
3 Case Studies integra>ng tech into NGOs’ M&E architecture
1. Assessing agricultural yields using satellite imagery (One Acre Fund + World Bank + Stanford + Skybox)
2. Monitoring clean cookstove adop4on with environmental sensors (Poten>al Energy + UC Berkeley)
3. Monitoring food staples prices via camera-‐enabled smartphones (World Food Programme + Univ Washington + Premise)
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Case Study 1: Satellites
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Case Study 1: Es4ma4ng Agricultural Yields
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Es4ma4ng Agricultural Yields
Center on Food Security and the Environment, Stanford University
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Es4ma4ng Agricultural Yields
Center on Food Security and the Environment, Stanford University
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Case Study 1: Es4ma4ng Agricultural Yields
Center on Food Security and the Environment, Stanford University
Corr = 0.43
NGO fields Control Group
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• CEGA (David Lobell & Marshall Burke)
• Skybox • World Bank (Living Standards Measurement Survey team)
• Ministry of Agriculture in Uganda
• One Acre Fund in Kenya
Partners
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Case Study 2: Sensors
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Do people use Cookstoves?
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Wilson & Rosa (2014).
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Survey Data
• Survey par>cipants overes>mated cooking >me by 72min a day and cooking events by 1.3 meals a day…
• Twice as much as sensor-‐measured values
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Filters, Latrines and Power (Oh My!)
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Filters, Latrines and Power (Oh My!)
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Case Study 3: Smartphones
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Passive Measurement: GridWatch
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Moving toward interven4on…
• How to harness IoT to improve the lives of the poor? – Low-‐cost sensors for “precision agriculture”
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1. Policy makers want to design and implement “interven>ons” that drive social outcomes
2. Need be"er measurement technologies to track progress against objec>ves: remote sensing
3. Next Stage: Unique opportuni>es to use IoT as interven>ons to drive poverty reduc>on
Are we having an impact?
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Center for Effective
GLOBAL ACTION