Deadline: 10-Oct-2018 at 11:59:59 PM (Eastern Time – Washington D.C.)
Assignment Description: The World Bank aims to apply financing from GFDRR to support efforts to improve the resilience of its coastal areas in India and Bangladesh to enable future investment plans towards building long-term resilience. This technical assistance aims to support the Governments of Bangladesh and India to enhance analytical understanding of past and current interventions, determine lessons learned to assess and improve the quality of resilient investments and improve service delivery of disaster risk management by building and expanding institutional capacities through knowledge exchange and technical and operational collaboration. The expected outcomes of this study are a detailed study assessing past and current coastal resilience interventions (such as multi-purpose cyclone and flood shelters, early warning and dissemination systems, coastal embankments, and community based disaster risk management), cost-benefit analysis of various intervention options, and best practices and lessons learned through data analysis, conceptual/numerical modeling and stakeholder consultations. Also, a comprehensive dissemination strategy will be developed to share the results of the study with the involved agencies, practitioners, and the public in general.
a promising approach to equipping individuals with the skills needed to thrive in digital economies. Despite the potential of these programs, women often participate at lower rates than men.



facilitating trade. While large investments in trade-related infrastructure capture global headlines, transaction costs generated by inefficient border clearance and trade-related regulatory requirements are one of the major 
challenges. Water and food demands are growing. Competition for water is escalating. You rely heavily on unpredictable rain to grow food and sustain your livelihood. Weather related disasters — such as floods, droughts, and heat waves — are increasing in frequency, intensity, and duration.
training, and over 875 million people are expected to
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