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Funding The Data Revolution

Claire Melamed's picture

A revolution starts with an idea, but to become real, it has to move quickly to a practical proposition about getting stuff done.  And getting things done needs money.  If the ideas generated last year, in the report of the UN Secretary General’s Independent Expert Advisory Group and elsewhere, about how to improve data production and use are to become real, then they will need investments.  It’s time to start thinking about where the money to fund the data revolution might come from, and how it might be spent.

Getting funding for investment in data won’t be easy.  As hard-pressed statistical offices around the world know to their cost, it’s tough to persuade governments to put money into counting things instead of, say, teaching children or paying pensions.  But unless the current excitement about data turn into concrete commitments, it will all fade away once the next big thing comes along, leaving little in the way of lasting change.

Next step for the Data Revolution: financing emerging priorities

Grant Cameron's picture

Last August, the UN Secretary-General Ban Ki-moon asked an Independent Expert Advisory Group (IEAG) to make concrete recommendations on bringing about a Data Revolution in sustainable development.  In response, the IEAG delivered its report, and among other items, recommends, “a new funding stream to support the Data Revolution for sustainable development should be endorsed at the Third International Conference on Financing for Development,” in Addis Ababa in July 2015.

Three Issues Papers for Consultation

To support this request and to stimulate conversation, the World Bank Group has drafted issues papers that focus on three priority areas:

  1. Data innovation
  2. Public-private partnerships for data
  3. Data literacy and promotion of data use

The papers aim to flesh out the specific development needs, as well as financing characteristics needed to support each area. A fuller understanding of these characteristics will determine what kind of financing mechanism(s) or instrument(s) could be developed to support the Data Revolution.

How does open data play out in fragile states

Sandra Moscoso's picture
#ARTF's Ditte Fallesen describes the opportunities and challenges around #opendata in Afghanistan
#ARTF's Ditte Fallesen describes the opportunities and challenges
around #opendata in Afghanistan. Photo: Sandra Moscoco

​There's a lot of energy around the role of open data in development. There are talks of data fueling 'smart cities,' citizen engagement in planning and budgeting, public transparency and accountability, entrepreneurship (even without open data), and more. 
 
These show the promise of open data, which doesn’t come easy in stable governments. But how does open data play out in the context of fragile states and conflict situations? 
 
Last year, we asked ourselves these questions and reached out to the aid community.

How does this investment help accessibility for this metropolitan area’s poorest 40 percent?

Shomik Mehndiratta's picture
Accessibility analysis is an essential element of understanding cities and public service delivery. Activity‐based accessibility measures relate to the distribution of activities (for example, jobs or schools) in a given space, and the ease of reaching these activities. This type of measure directly relates to the qualities of a multi-modal transport system (e.g. transport network, speeds and costs), but also includes the qualities of the land‐use system (e.g. distribution of land uses, and thus activities), and allows for a spatial temporal multi-modal analysis based on changing land uses.

Accessibility offers a powerful lens to assess how a mobility system is serving an urban area. For example, road congestion is a more severe constraint in a dispersed setting with few transit, walking and cycling options (such as the Atlanta metropolitan area), compared to traditional mixed-use downtowns (such as New York City), where residents can access jobs and other opportunities walking, cycling and using mass transit. 
 
Block-level measure of job access within 60 minutes by public transport

Accessibility indicators are not just conceptually powerful – they are also easy to operationalize: the number of jobs accessible within a 60-minute timeframe is a popular and powerful indicator to evaluate how well the mobility system is serving a particular spatial area, or group of people (such as the most vulnerable).

“Smart mobility” for developing cities

Ke Fang's picture
Follow the author on Twitter: @KeFang2002
 

In many developing cities, transport infrastructure – whether it be roads, metro systems or BRT - is not growing fast enough, and cannot keep up with the ever-increasing demand for urban mobility. Indeed, constructing urban transport infrastructure is both expensive and challenging. First, many cities do not yet have the capacity to mobilize the large amount of funds needed to finance infrastructure projects. Second, planning and implementing urban transport infrastructure projects is tough, especially in dense urban areas where land acquisition and resettlement issues can be extremely complex. As a result, delays in project implementation are the norm in many places.

Therefore, solving urgent urban transport problems in these cities requires us to think outside the box. Fortunately, the rapid development of ICT-enabled approaches provides a great opportunity to optimize and enhance the efficiency of existing and new urban transport systems, at a cost much lower than building new infrastructure from the ground up.

The rise of Open Data in Kazakhstan

Alfiya Kaulanova's picture
Also available in: ру́сский язы́к
Homes near an urban center in Kazakhstan.
Photo: Shynar Jetpissova / World Bank
E-government and Open Data have already brought visible economic impact to countries around the world. The numbers vary per country and per sector, but they all point in the same way: opening up data creates economic and social value.

Seven years ago, Kazakhstan’s government set the development of e-government as a priority. As a result, today there are more than 2.6 million users registered on the country’s “electronic government” portal (www.e-gov.kz), accounting for almost 30 percent of Kazakhstan’s economically active population.

On average, Kazakhstani people receive about 40 million different services a year electronically. In the next three years, e-government can completely switch to the mobile format.

Open India: New Interactive App Features State-level Sectoral Data

Vilas Mandlekar's picture
What is the World Bank Group (WBG) doing to help address India's development challenges? And how is the Bank doing in implementing its programs in India's low-income states?  These are some of the questions that are addressed via Open India (openindia.worldbankgroup.org), a new web-based app that lays out the WBG's Country Partnership Strategy (CPS), operational projects, and knowledge products in India.

What makes the Open India site unique?
This web app takes a new and different approach in presenting the WBG's partnership strategy and current projects, by doing so in a transparent, interactive, and easy-to-use web platform. It features data visualizations that connect the main engagement areas  ̶   Economic Integration, Spatial Transformation, and Social Inclusion  ̶   with the underlying challenges that are being addressed through the WBG's operations and knowledge products in India.  An essential component of the new Open India web app is sectoral data that quantifies India's development challenges. For example, the range of India's infrastructure and transportation gaps is presented as a data visualization below.
 

Source: Open India

Open India: new interactive app features state-level sectoral data

Vilas Mandlekar's picture
What is the World Bank Group (WBG) doing to help address India's development challenges? And how is the Bank doing in implementing its programs in India's low-income states?  These are some of the questions that are addressed via Open India (openindia.worldbankgroup.org), a new web-based app that lays out the WBG's Country Partnership Strategy (CPS), operational projects, and knowledge products in India.

What makes the Open India site unique?
This web app takes a new and different approach in presenting the WBG's partnership strategy and current projects, by doing so in a transparent, interactive, and easy-to-use web platform. It features data visualizations that connect the main engagement areas  ̶   Economic Integration, Spatial Transformation, and Social Inclusion  ̶   with the underlying challenges that are being addressed through the WBG's operations and knowledge products in India.  An essential component of the new Open India web app is sectoral data that quantifies India's development challenges. For example, the range of India's infrastructure and transportation gaps is presented as a data visualization below.
 

Source: Open India
 

Can Data Help Us Understand How Citizens Feel About Their States?

Victoria L. Lemieux's picture

ANSA-AW Arne Hoel

Last week, I had the honor of receiving one of the World Bank's FY15 Big Data Innovation Challenge awards for a proposal developed with a team of researchers from within and outside of the Bank. To give you a snapshot of the project, let me recount a familiar story which you may not have thought about for a while.  On December 17th, 2010, a Tunisian fruit vendor named Mohammed Bouazizi took a can of gasoline and set himself on fire in front of the local governor's office.  Bouazizi’s actions resulted from having his fruit cart confiscated by local police and his frustration at not obtaining an audience with the local governor; his death sparked what we now know as the "Arab Spring." With no other means of voicing discontent and lack of trust, citizens can embrace extreme forms of protest against institutions and governments that quickly escalate. 

Relative versus absolute poverty headcount ratios: the full breakdown

Juan Feng's picture

Most countries in the world measure their poverty using an absolute threshold, or in other words, a fixed standard of what households should be able to count on in order to meet their basic needs. A few countries, however, have chosen to measure their poverty using a relative threshold, that is, a cutoff point in relation to the overall distribution of income or consumption in a country.

Chart 1


The chart above shows the differences between relative and absolute poverty headcount ratios for countries that have measured both. You can select other countries from the drop down list, but for example, you can see that Romania switched from measuring poverty in absolute terms to measuring poverty in relative terms in 2006.  Absolute poverty headcount ratios steadily declined from 35.9% in 2000 to 13.8% in 2006. However, by relative measures, the national poverty headcount ratio in 2006 was 24.8%.  This does not mean that poverty bumped up in 2006. These two numbers are simply not comparable, but what exactly do they both mean?


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