friday lunchtime lecture: a data revolution for international development

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  • 8/17/2019 Friday lunchtime lecture: A data revolution for international development

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    A data revolution in

    development?Rupert Simons

    13 May, 2016

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    Topics for discussion

    • Understand initiatives being taken to close those gaps

    • Assess the transparency of aid spending and results

    • Describe some development data gaps

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    Data gaps in an emergency: Sierra Leone

    Managing Ebola Mining industry collapses Emergency budgeting

    • Mining companies allprivately held or quotedon AIM, outside SL

    Taxes, royalties fell from ~$50m to ~$10m

    • Contracts, payments notpublished

    • GDP fell by ~20% in 2015• Weekly tax take fell from

    ~$10 to ~$5 million in

    worst weeks of Ebola• 70% of budget is wages• >$100million emergency

    loan needed from IMF

    • Where are the patients?• Where are the

    ambulances?•

    Have the Ebola reliefworkers been paid?

    0

    4590

    135

    180

    2007 2009 2011 2013 2015

    Iron ore price, USD per mt

    Source: WHO, FT, IMF

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    Data gaps in development: a global problem

    Economic growth Women who die giving birth Agricultural production

    • Only 1 in 5 Africancountries derive deathrates from national civicregistries

    • Maternal mortalitycalculated from algorithmbased on GDP, fertilityrate and “skilledattendance at birth”

    • Ethiopian maize, tefproduction used to growby 2-3% per year

    Since 2008, production hasnearly doubled• 10-15 million Ethiopians

    still require food aid

    • 1950s methods measureagriculture, modernmethods services

    ‘Rebasing’ doubled GDP inNigeria and Ghana• Lower income countries

    get cheaper loans

    0

    750

    1500

    2250

    3000

    2007 2009 2011 2013 2015

    Nigeria GDP, USD per capita

    Source: Morten Jerven, Development Initiatives, FAO

    1990 2015

    Maternal mortality, thousands

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    Topics for discussion

    • Assess the transparency of aid spending and results

    • Describe some development data gaps

    Understand initiatives being taken to close those gaps

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    Source: UN report ‘A World that Counts’

    Top down: Donors and UN agencies have helped funda growing number of household surveys

    Unfortunately global priorities often trump national ones:

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    Bottom up: there is growing use of citizen generated data . . .

    Source: Open Nepal, ipaidabribe.com

    Thousands of Indians report when they were asked for, paid orrefused to pay a bribe

    Nepalese citizens use a localhelpdesk after the earthquake

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    . . . and there may be some big dataapplications, though there are risks too

    Source: UN report ‘A World that Counts’

    Example: Using cellphone calls to track malaria in Cote d’Ivoire

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    Meanwhile, civic registration andadministrative data lags far behind

    Source: Development Initiatives “Data Revolution in Africa”

    Census Poverty census Birth statistics

    Recent (last 10years for census,last 3-5 years forsurvey)

    Out of date

    Unusable orunavailable

    Quality and availability of data in African countries,percentage of countries

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    Estimates for closing data gaps range widely,with $100-200 million per year as the median

    Source: Brookings; CGD; SDSN

    17-66

    Cost of building and maintaining statistical systems tomonitor the Sustainable Development GoalsUSD million per year

    100-200

    1,100

    900- 1,000

    >10,000

    New money

    Existing aid

    Own resources

    Not specified

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    Topics for discussion

    • Assess the transparency of aid spending and results

    • Describe some development data gaps

    Understand initiatives being taken to close those gaps

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    Publish What You Fund reviewed the quality ofdata produced by major aid donors

    Activity level data(28 indicators)

    Organisation leveldata (8 indicators)

    Commitment totransparency (3indicators)

    We worked withpeople from

    46 agencies in

    22 countries

    and 36independent reviewersand CSOs

    100

    To assess 39 indicators ofdata on aid and development

    Maximum possible score

    Over a data collectionperiod of 14 weeks

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    What we found: Aid is getting moretransparent

    2013 Index 2014 Index 2016 Index

    Very GoodGoodFairPoorVery Poor

    Source: Aid Transparency Index 2013-16

    Performance of agencies in the Index

    Total 67 68 46

    Ten donors did very well:

    • UNDP• U.S. – MCC• UNICEF• UK – DFID• The Global Fund•

    World Bank – IDA• IADB• AsDB• Sweden• AfDB

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    The norm is gradually shifting from annualreporting to quarterly, monthly or real time

    Annual reporting • Companies House/ Charity Commission returns • OECD-DAC Credit Reporting Statistics (for official donors)• Annual report on website (usually in PDF)

    Regular updating• Monthly or quarterly publication• Machine-readable and web formats• Edit for confidentiality

    Real-time data sharing• Uploaded automatically• Daily decision-making• Limited editing

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    !""#

    Over 400 organisations are now publishing datain the IATI standard

    Number of IATI publishers by type2011-15

    Source: IATI annual report 2015

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    However, only a minority of donors arepublishing forward-looking spending data

    Forecast aid flows recorded in IATINovember 2015 snapshot

    Source: IATI annual report 2015

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    Some governments are using the data

    NGOs are using it too,

    for example:

    Source: IATI, Development Gateway

    IATI import system inuse

    IATI import systemunder development

    IATI partner country

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    Very few other people are using it

    Source: Press searches

    Flood victims have demanded thatsome of Britain’s £12billion foreign

    aid budget is used to help themafter a catastrophic few weeks.

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    Questions