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.
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.
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.
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?
All around the world, governments are recognizing the value and potential of Open Data. This is clear from the G8’s adoption of an Open Data Charter in June 2013 (with the G20 likely to follow suit), the growing number of countries adopting Open Data initiatives, and the 64 countries that have committed to Open Government Partnership action plans (most of which focus on Open Data). Kyrgyzstan has taken the first steps down this path.
The Kyrgyz Government has been implementing the Open Government Policy and has already undertaken several measures, such as creating official web portals for state bodies including Open Budget, Electronic Procurement, Foreign Aid and many others. Through these websites, citizens can find information about public services and activities offered by government ministries and other state agencies.
In 2013, based on a comprehensive analysis of Kyrgyz public information resources and in consideration of plans for leveraging ICT for good governance and sustainable development, the government designed an e-Government program and corresponding Action Plan for 2014-2017 with support from the United Nations Development Programme (UNDP). This program was approved by the Kyrgyz government on November 10, 2014.
In addition, this year the UNDP provided support to set up an online network for the Prime Minister’s online community liaison offices. This network has 63 connection points nationwide and supplements the Kyrgyz government’s official website by strengthening relations between the government and civil society by informing citizens about ongoing reforms, as well as and challenges that have been resolved for the country’s communities and citizens. This is one of the existing examples of Kyrgyz government utilizing its openness for greater citizen engagement.
While these improvements are impressive, the national level data often mask inequalities in skilled birth assistance within countries. There may be gaps within a country, for example, where wealthy women might have better access than women from poor households. According to the World Health Organization, "The high number of maternal deaths in some areas of the world reflects inequities in access to health services, and highlights the gap between rich and poor."
An unprecedented number of individuals and organizations are finding ways to explore, interpret and use Open Data. Public agencies are hosting Open Data events such as meetups, hackathons and data dives. The potential of these initiatives is great, including support for economic development (McKinsey, 2013), anti-corruption (European Public Sector Information Platform, 2014) and accountability (Open Government Partnership, 2012). But is Open Data's full potential being realized?
A news item from Computer Weekly casts doubt. A recent report notes that, in the United Kingdom (UK), poor data quality is hindering the government's Open Data program. The report goes on to explain that – in an effort to make the public sector more transparent and accountable – UK public bodies have been publishing spending records every month since November 2010. The authors of the report, who conducted an analysis of 50 spending-related data releases by the Cabinet Office since May 2010, found that that the data was of such poor quality that using it would require advanced computer skills.
Far from being a one-off problem, research suggests that this issue is ubiquitous and endemic. Some estimates indicate that as much as 80 percent of the time and cost of an analytics project is attributable to the need to clean up "dirty data" (Dasu and Johnson, 2003).
An unprecedented number of individuals and organizations are finding ways to explore, interpret and use Open Data. Public agencies are hosting Open Data events such as meetups, hackathons and data dives. The potential of these initiatives is great, including support for economic development (McKinsey, 2013), anti-corruption (European Public Sector Information Platform, 2014) and accountability (Open Government Partnership, 2012). But is Open Data’s full potential being realized?
A news item from Computer Weekly casts doubt. A recent report notes that, in the United Kingdom (UK), poor data quality is hindering the government’s Open Data program. The report goes on to explain that – in an effort to make the public sector more transparent and accountable – UK public bodies have been publishing spending records every month since November 2010. The authors of the report, who conducted an analysis of 50 spending-related data releases by the Cabinet Office since May 2010, found that that the data was of such poor quality that using it would require advanced computer skills.
Far from being a one-off problem, research suggests that this issue is ubiquitous and endemic. Some estimates indicate that as much as 80 percent of the time and cost of an analytics project is attributable to the need to clean up “dirty data” (Dasu and Johnson, 2003).
In addition to data quality issues, data provenance can be difficult to determine. Knowing where data originates and by what means it has been disclosed is key to being able to trust data. If end users do not trust data, they are unlikely to believe they can rely upon the information for accountability purposes. Establishing data provenance does not “spring full blown from the head of Zeus.” It entails a good deal of effort undertaking such activities as enriching data with metadata – data about data – such as the date of creation, the creator of the data, who has had access to the data over time and ensuring that both data and metadata remain unalterable.
These rates are falling faster than at any other time during the past two decades: from a 1.2% annual reduction during 1990-1995 to a 4% reduction during 2005-2013.
More children making it to their fifth birthday
The major improvements in under-5 child survival since 1990 are attributable to better access to affordable, quality health care, as well as the expansion of health programs that reach the most vulnerable newborns and children.
The 49% drop – from 90 deaths per 1,000 live births in 1990, to 46 deaths in 2013 – means that a baby born today has a dramatically better chance of survival to age 5 compared with a baby born in 1990.
More progress needed to achieve the global Millennium Development Goal 4 target
Four out of 6 World Bank Group regions are on track to achieve Millennium Development Goal 4 (MDG 4), which is to reduce the under-5 mortality rate by two-thirds by 2015. Sub-Saharan Africa and South Asia are two regions where the rates of decline remain insufficient to reach MDG 4 on a global scale. In 2013, the highest under-5 mortality rate was in Sub-Saharan Africa, where there were 92 deaths per 1,000 live births or where 1 in 11 children die before reaching the age of 5.
How are individuals and organizations taking advantage of the data that governments are publishing? This is part of a series looking at how data are being used for social good. Last time we covered Nigeria’s Follow the Money Initiative, this time we’re heading to East Africa.
In Kenya, Data Science, LTD (www.datascience.co.ke) is a data analysis and research company providing services to government, local organizations, and businesses. The company seeks to promote greater understanding and use of available data to gain insights for better planning, resource allocation, and entrepreneurship. This blog post is based on a recent Google Hangout discussion with Data Science, LTD founder Linet Kwamboka.
So what is it like being a data analysis company in Kenya, and what can others learn from Linet’s experience?
Open data roots
Linet worked on the World Bank supportedopendata.go.ke as a project manager in the lead up to the initiative's launch in 2011. The company works with clients seeking to utilize data to make better decisions. They include private companies involved in marketing, jobs, retail, and consumer products. With government and civil society clients, the focus is to improve decision-making that lead to better public services and advocacy efforts.
Overcoming gaps in data
Linet has learned that the tasks of sourcing, analyzing, and transforming data into more readily consumed and actionable forms can take a significant amount of effort and time. In many situations, the data simply do not exist or are out of date.