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.
As public and private financial institutions innovate and expand the range of financial 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.
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.
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.
On the eve of International Women’s Day, I was at a UN WOMEN side event in NYC when my phone started buzzing with well wishes for a happy women’s day from my friends in Asia, filling me with — ambivalence. To be honest, the day always leaves me with mixed feelings: despite the great strides that the world has made in women’s rights in various ways, for me, it’s also a reminder of how so many women still don’t enjoy our basic human rights.
As we’ve returned from women’s day to what in many ways is still a man’s world, I wanted to share three thoughts about the intersection of women’s rights with our data world today.
Combinatorial innovation is driving innovation in satellite-based economic measurements at unprecedented resolution, frequency and scale. Increasing availability of satellite data and rapid advancements in machine learning methods are enabling a better understanding into the fundamental forces shaping economic development.
Why satellite data innovations matter
The desire of human beings to “think spatially” to understand how people and objects are organized in space has not changed much since Eratosthenes — the Greek astronomer best known as the “father of Geography” — first used the term “Geographika” around 250 BC. Centuries later, our understanding of economic geography is being propelled forward by new data and new capabilities to rapidly process, analyze and convert these vast data flows into meaningful and near real-time information
We know that high quality development data is the foundation for meaningful policy-making, efficient resource allocation, and effective public service delivery. Unfortunately, data deprivation”, finding that What’s worse, data is often most scarce in the areas where it is most desperately needed. For one, the scarcity of individual-level data on issues like assets and consumption severely curtails our ability to make decisions to reduce gender disparities. Similarly, despite the urgency of the need to manage climate risk, significant voids remain with regards to climate data, such as impacts on freshwater resources. Education, health, food security, and infrastructure are just a few of the many other areas where more and better data is needed to deliver progress.
A paper by my colleague Umar Serajuddin et al. (2015) describes this phenomenon as “
We’re living in a time of disruptive technologies evolving at an exponential pace. Today, you can enjoy an Impossible Burger (meat industry disrupted) delivered by Caviar (food delivery disrupted) to your AirBnB (hotel industry disrupted) while you’re on FaceTime (telecommunication industry disrupted) urging your teenager to get back to lessons on Khan Academy (education industry disrupted). And all the while, you’re leaving a trail of digital data points.