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opendata

The time is right for an open data fund

Prasanna Lal Das's picture
Also available in: Español | Français

Nobody cares about open data. And they shouldn’t. What people care about are jobs, clean air, safety and security, education, health, and the like. And for open data to be relevant and meaningful, it must contribute to what people care about and need.

We wrote a few weeks ago that the private sector is increasingly using open data in ways that are not only commercially viable but also produce measurable social impact. What is missing is financing that can help catalyze the growth of data fueled businesses in emerging economies. We are developing a fund that will address this precise need.

The context
Companies such as Climate Corporation, Opower, Brightscope, Panjiva, Zillow, Digital Data Divide and many others have shown that it’s possible to be disruptive (in established sectors such as agriculture, health and education), innovative (across the data spectrum - from collection to storage to analytics to dissemination), profitable, and socially impactful at the same time (see Climate Corporation’s Ines Kapphan, Metabiota’s Ash Casselman, and the GovLabs@NYU’s Joel Gurin talk about how how open data based companies are tackling complex, sophisticated development problems in high-impact business sectors – their path breaking work is clear evidence of the growing maturity of the industry).

From Participation to Opportunity in Women's Work: What Data Tell Us

Jeni Klugman's picture
Also available in: 中文 | العربية | Español | Français

A new World Bank report, Gender at Work, emphasizes the need for multidimensional assessments of gender equality in the world of work. A fuller picture of the problem lends to more comprehensive policy solutions.

It is tempting to use a single indicator as the gauge of a country’s standing on gender equality and women’s economic empowerment. None is more alluring than labor force participation. It is consistently available and provided yearly for the vast majority of countries—currently 183 out of 214 on the Gender Data Portal. This is an exception in the universe of economic gender indicators, which are often patchy, irregular, and unreliable. However, this leaves an incomplete and even misguided impression of how countries fare.

The Data Revolution is Here: How is Open Data Changing the Private Sector?

Prasanna Lal Das's picture

How do you take the same data that everybody has access to and convert it into a billion dollar business? When do you look at all the data in the world and say you want more (and that you are going to collect it like no one has done before)? How do you stop worrying about open data, and begin solving development challenges instead? Who is doing what with open data and how and why?

Which country has the highest proportion of women in parliament?

Leila Rafei's picture
Also available in: العربية | Español | 中文 | Français

The latest data from the Inter-Parliamentary Union show that Rwanda tops the list as the country with the highest proportion of women in parliament, with nearly 64 percent of seats held by women in 2013. Globally, women account for an average of about 20 percent of parliamentary seats, up from 15 percent a decade ago.

The top ten countries are a mix of high and middle income economies, some with legally mandated gender quotas and some without. Rwanda, a low income country, is followed by Andorra at a flat 50 percent and Cuba at 49 percent. Sweden, with 44 percent of parliamentary seats held by women, is the country that achieved the highest rate without any gender quota.

Proportion of seats held by women in national parliaments (%)

Spicing up research on sub-national development through open data: Indonesia Data for Policy and Economic Research (INDO-DAPOER)

Also available in Bahasa

It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts. – Sherlock Holmes.
It's a game changer for those working on Indonesia's sub-national development issues. Comprehensive data at the sub-national level is now available to the public through INDO-DAPOER (Indonesia Data for Policy and Economics Research) at data.worldbank.org. DAPOER, which means ‘kitchen’ in Indonesian, is intended to be a ‘place’ where various data are blended, like spices, and cooked to produce analytical works, research papers, and policy notes.

INDO-DAPOER is the first World Bank sub-national database consisting of both province and district level data to be publicly accessible from anywhere in the world. The database provides access to around 200 indicators from almost 500 districts and 34 provinces in Indonesia, which in general go back to the early 1990s and even 1980s for some. The indicators are grouped into four main categories: fiscal, economic, social demographic, and infrastructure. Indicators range from sub-national government revenue and expenditure, sub-national GDP, to specific education, health, and infrastructure indicators such as net enrollment rate for junior secondary, immunization rate, and household access to safe sanitation.

From open data to development impact – the crucial role of the private sector

Prasanna Lal Das's picture

Can open data lead to reduced energy consumption (and therefore slow down climate change)? Can open data help improve maternal health services (and thus improve facets of public delivery of services)? Can open data help farmers and crop insurers make better crop predictions (and thus lead to smarter investment decisions in agriculture)? Can open data empower citizens to fight back against police corruption (and thus help promote the rule of law)?

खुले डेटा से विकास प्रभाव तक — निजी क्षेत्र की महत्‍वपूर्ण भूमिका

Prasanna Lal Das's picture

क्‍या ओपन डेटा (खुला/सर्वसुलभ डेटा) की वजह से ऊर्जा खपत में कमी आ सकती है (और इसलिए जलवायु परिवर्तन धीमा हो सकता है)? क्‍या ओपन डेटा से मातृत्‍व स्‍वास्‍थ्‍य सेवाएं बेहतर हो सकती हैं (और इस तरह सेवाओं के सार्वजनिक वितरण संबंधी पहलुओं को बेहतर किया जा सकता है)? क्‍या ओपन डेटा से किसानों और फसल बीमाकर्ताओं को फसल संबंधी पूर्वानुमान लगाने में मदद मिल सकती है (और इस तरह कृषि में निवेश के अधिक समझदारी वाले निर्णय लिये जा सकते हैं)? क्‍या पुलिस भ्रष्‍टाचार से लड़ने में ओपन डेटा नागरिकों को सशक्‍त कर सकता है (और इस तरह कानून के शासन को प्रोत्‍साहित करता है)?

What does "life expectancy at birth" really mean?

Emi Suzuki's picture
Also available in: 中文 | Français | Español



If a child is born today in a country where the life expectancy is 75, they can expect to live until they are 75… right?

Not exactly. 

The statistic “Life expectancy at birth” actually refers to the average number of years a newborn is expected to live if mortality patterns at the time of its birth remain constant in the future. In other words, it’s looking at the number of people of different ages dying that year, and provides a snapshot of these overall “mortality characteristics” that year for the population.

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