World Bank Strengthening Gender Statistics project is partnering with National Statistical
Offices in twelve IDA-19 countries to support the production of gender data in the economic domain.
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Tag Archives: Data
Djibouti’s Data Collection Efforts: How Information Helps Tackle Poverty
Four years ago, the Government of Djibouti launched Vision 2035, a target to improve 
living standards for the country’s people over the next two decades. A country in the Horn of Africa, Djibouti has a rocky, arid landscape that has driven the vast majority of people to cities. More than 35 percent of the country lives in poverty, and about 21 percent in extreme poverty, including nomadic Djiboutians and others who live in extreme rural poverty.
Global Gas Flaring Jumps to Levels Last Seen in 2009
WASHINGTON, July 21, 2020 — Estimates from satellite data show global gas flaring 
increased to levels not seen in more than a decade, to 150 billion cubic meters (bcm), equivalent to the total annual gas consumption of Sub-Saharan Africa.
The 3% rise, from 145 billion cubic meters (bcm) in 2018 to 150 bcm in 2019, was mainly due to increases in three countries: the United States (up by 23%), Venezuela (up by 16%), and Russia (up by 9%). Gas flaring in fragile or conflict-affected countries increased from 2018 to 2019: in Syria by 35% and in Venezuela by 16%, despite oil production flattening in Syria and declining by 40% in Venezuela.
World Bank data infrastructure: shortening the path from data to insights
Data is not valuable in a vacuum. Data is only valuable once information, insight or in 
other words knowledge is extracted from it and is used to make decisions, shape policies, and change behaviors.
Data scientists, analysts, and researchers spend a significant amount of time and effort extracting knowledge from data and communicating it. Because extracting knowledge from data can be expensive, it is important to find ways to reduce its cost. A robust and well-designed data infrastructure can contribute to this cost reduction by smoothing the frictions involved with data analytics projects: storing, searching, accessing, understanding, cleaning, transforming, analyzing, and visualizing data. Lowering that cost can go a long way toward increasing data use and knowledge production.
Is education ready to work in data-intensive environments?
What do initiatives such as personalized and adaptive learning, chatbots for education, 
automatic translators or the use of predictive learning analytics have in common? All of them are components of a ‘data-driven education’.
In many countries, there is a clear interest in expanding the role of digital technologies in education, which inevitably is leading towards more data-intensive educational systems. With the growing interest for adaptive intelligent tutoring systems offering natural language interaction, tools for predicting school dropout or new automated systems to boost student recruitment, it is likely that the importance of data-intensive technologies for education will increase in the years to come.
eC2: Scoping and Design of Integrated Data Platform.
Deadline: 10-Aug-2019 at 11:59:59 PM (Eastern Time – Washington D.C.) 
The World Bank (WB) is supporting the Government of Indonesia to develop a programmatic response to the challenges of sustainable urbanization. City Planning Labs (CPL) is one such Bank Executed Technical Assistance initiative that aims to support municipal governments to build capacity for a data-driven approach to city planning, enabling the development of smart, inclusive, and sustainable cities. Given the success of the interventions in two Indonesian cities namely Kota Semarang and Kota Denpasar, CPL has received multi-year support from the Indonesia Sustainable Urbanization (IDSUN) Multi-Donor Trust Fund (MDTF) to scale-up the initiative.
Harnessing the power of data so no child is left behind
Data plays a crucial role in the 2030 agenda set out by the Sustainable Development 
Goals (SDGs). It helps us to focus policies and make better decisions. It is needed to set targets, measure progress towards those targets and to hold governments accountable to their commitments under the SDGs.
Data is also essential for governments to fulfill their pledge to leave no one behind in the SDGs; that the goals should be met for all segments of society and that those furthest behind should be reached first. Despite significant progress over the last few years, we are still far away from being able to systematically identify those at risk of being left behind or to monitor their progress towards the 2030 commitments.
Financial innovation and additionality: The power of economic analysis and data analytics
As public and private financial institutions innovate and expand the range of financ
ial products that households and firms use, questions about how these services are affecting consumers, providers, and the economy as a whole have become central. A new policy brief by Abraham, Schmukler, and Tessada explores how evaluating the “additionality” of financial services can help answer such questions.
Report: Women, Business and the Law 2019- A Decade of Reform
Women, Business and the Law measures global progress toward gender equality in the 
law. Topic notes and related research provide further analysis of the data. To gain new insight into how women’s employment and entrepreneurship choices are affected by legal gender discrimination, this study examines ten years of Women, Business and the Law data through an index structured around economic decisions women make as they go through different stages of their working lives.
eC2: Air Quality Management in Vietnam, Air Emission Sectoral Data Verification
Deadline: 27-May-2019 at 11:59:59 PM (Eastern Time – Washington D.C.) 
The scope of work described here focuses on the verification of the modelling data that has been used and subsequently additional collection and validation of activity data and characteristics for key emission sources at the regional level of larger Hanoi region. This work shall be done mostly in close cooperation with Hanoi and secondly in cooperation with MONRE and Bac Ninh and Hung Yen. The objective of the assignment under this Terms of Reference is to assess and collect the data gaps and propose the best set of regionally attributed activity data for the key sources of air pollution in the different sectors. The final datasets shall be suitable for incorporation in the Vietnam GAINS model and discussed and consulted with IIASA, CEMM, MONRE, Hanoi, Bac Ninh and Hung Yen and their respective Department of Natural Resources and Environment (DONRE) as well as World Bank. The World Bank will support and facilitate the consultations with MONRE, Hanoi, Bac Ninh and Hung Yen.
Netherlands for the World Bank 
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