Deadline: 28-Nov-2018 at 11:59:59 PM (Eastern Time – Washington D.C.)
The World Bank seeks to contract a consultancy firm to develop a training manual for the Government Performance Management System in Bangladesh. The training manual will be in Bangla and English. Also an e-learning platform will be developed to complement the training manual. It is desired that the interested firms have experience of working with the Government Performance Management System and development of the training systems to be used both for face to face training as well as self-administered online/ virtual training. The assignment requires for interested firms to have team members with experience in the development of training materials for the government and e-learning modules. A strong network in Bangladesh, and partnership with public sector institutions in developing the training systems would be advantageous for the qualified firms. The firms should have the capacity to identify national experts with profound understanding of the Government Performance Management System as well as the public administration system in Bangladesh.
Germany, Japan, Laerdal Global Health, the Netherlands, Qatar and an anonymous donor—have joined since the launch of the Global Financing Facility replenishment. They join existing funders the Bill & Melinda Gates Foundation, Canada, MSD for Mothers, Norway, and the United Kingdom to fund the GFF to improve the health and nutrition of women, children and adolescents.
today’s agri-food system. Whether it’s today’s soil moisture, tomorrow’s weather forecast, or the price of rice in Riyadh, every bit of data can improve the efficiency with which the world’s 570 million farmers put food into the mouths of its soon-to-be eight billion consumers. Digital technologies are facilitating the flow of data through the food system, shrinking information asymmetries and fashioning new markets along the way. How can we ensure these new markets are appropriately contested, and the treasure does not end up in the hands of a couple of gunslingers? Is there a public sector’s role in generating and disseminating data that on the one hand encourages innovation and competition and on the other reduces opportunities for market capture? One place to look may be at the crossroads of internet and public goods.
lately. Policymakers are concerned that America’s leading firms such as the FAANG stocks — Facebook, Apple, Amazon, Netflix and Google — are having adverse results on the rest of us and making economic policy less predictable. Why is this? Many of the companies have improved the lives of people across the world with highly desirable and useful products. These superstar firms have also done very well for many of their stakeholders and investors. The numbers are staggering. These five tech companies together account for roughly half of the gains achieved by the Standard & Poor’s 500 stock index in 2018. And in recent weeks, Apple became the world’s first trillion-dollar corporation, with Amazon not far behind. While the superstar firms have made life easier for many consumers, it’s hard for economists not to wonder whether the effects of their stratospheric success are entirely benign.
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been in the market for weather forecasts that help them decide when to plant and harvest to mitigate climate risks. Earlier this month, the 48th session of the Intergovernmental Panel on Climate Change delivered sobering news: the
the nature of work is changing as a result of advances in technology today. Fears that robots will take away jobs from people have dominated the discussion over the future of work, but the World Development Report 2019 finds that on balance this appears to be unfounded. Work is constantly reshaped by technological progress. Firms adopt new ways of production, markets expand, and societies evolve. Overall, technology brings opportunity, paving the way to create new jobs, increase productivity, and deliver effective public services. Firms can grow rapidly thanks to digital transformation, expanding their boundaries and reshaping traditional production patterns.
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