Third Conference on Measuring Human Progress Can HD Measurement Inform the Post2015 Agenda New York 1011 March 2014 Session 5 Stefan Schweinfest Acting Director United Nations Statistics Division ID: 611397
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Slide1
How new and emerging data sources might strengthen Human Development Measurement
Third Conference on Measuring Human Progress
Can HD Measurement Inform the Post-2015 Agenda
New York,
10-11 March
2014
Session 5
Stefan
Schweinfest
Acting Director
United Nations Statistics DivisionSlide2
Significant extension of data requirements in terms of scope and disaggregation
Increased focus on individuals well-being in all its dimensionsIncreased role of statistics
Expected consequences of the post-2015Slide3
HIGH LEVEL PANEL REPORT ON POST 2015
is calling for a “data revolution”
Core ideas of the proposed “data revolution”
Bring new information technologies (e.g. mobile technology) and statistics together to improve development data
Disaggregate data (by gender, geography, income,..), to make sure that
“no one
is left
behind”
Better data and statistics for better accountability and better decision making
“A true data revolution would draw on existing and new sources of data to fully integrate statistics into decision making, promote open access to, and use of, data and ensure increased support for statistical systems.”Slide4
Main challenges for statistics:
Data dimension: Fill existing data gaps and satisfy the increased requirements: new methodologies, integration with geospatial information, big data, smart IT use/methods of data capture, strengthening of existing statistical tools: household surveys
, administrative sources, census/vital statistics registration, agricultural surveys, measurement frameworks (SNA/SEEA) etc.Capacity dimension
Strengthen capacity at all
levels; strengthen partnerships and coordinationSlide5
Big Data discussed by official statisticians
UNSC, February 2013, Friday Seminar on “Big Data for Policy, Development and Official Statistics”59th ISI World Statistics Congress, August 2013 discussed big dataEuropean Statistical System, September 2013, Director Generals adopted the Scheveningen Memorandum on Big DataBureau of Conference of European Statisticians, 22 October 2013, in-depth review of Big DataUNSD and NBS China, October 2013, international seminar on Big Data and Modernizing Statistical SystemsSurvey of statistical offices
, Fall 2013: 107 responses were received and analyzedUNSC, March 2014, SG report “Big data and modernization of statistical systems”Slide6
Survey results: Sources of Big Data
Administrative data: Tax, VAT and Social Security data (not regarded as ‘real’ Big Data) - share the challenges such as confidentiality and legislationTransactional sources: supermarket scanner data, phone communication, credit cards transactions and toll collection dataSensor or satellite sources: several countries use satellite imaging for survey design and land useTracking or GPS sources:
used by a few countriesBehavioral data sources: not yet usedOpinion or social media sources: very few countries make use Slide7
Some current examples
Australia, Colombia: use of satellite images of land use for agriculture statisticsBhutan: mobile communication technology for data collection for consumer price indexEstonia: mobile positioning data for international travel statisticsSlide8
Survey results: Areas of use (in next 12
months)Scanner data or web scraping for frequently updated price indices that complement the standard consumer price indexAlso producer prices, real estate prices and hotel prices Mobile phone data used for travel and tourism statisticsSocial media sentiment for consumer confidence
Web vacancy data for employment statisticsUse of detailed data from highway tolls and road sensors for transportation statisticsUse of satellite images of land use for agriculture statisticsSlide9
Potential and challenges of Big Data
The existing IT infrastructure and capabilities have to be enhanced to support the processing of high-volume and high-velocity data from various sourcesMore advanced skills for data analysis and computational informatics are necessaryThe Government sector will need to invest considerable efforts to establish an authorizing framework, which fosters public trust and sets out the rules for access and use of automatically generated digital data with a personal contentSlide10
Way forward
Big Data is here to stay, and raises similar challenges and opportunities for most countriesExperiences, practices and solutions can be sharedRegional initiatives have started at UNECE and UNESCAPOutcome from 45th Statistical Commission was the creation of a UN Global Working Group on the use of Big Data for official statistics, which willComplement regional initiatives
Address the potential use of Big Data for the post-2015 development agenda Establish Big Data platform for
inventory of data sources, guidelines and
analytical
toolsSlide11
Vital
statistics reported to the UN DYB 2010-2012Births
DeathsSlide12
Thank You !
Stefan SchweinfestActing DirectorUnited Nations Statistics DivisionSchweinfest@un.orghttp://unstats.un.org