Deadline: 18-Dec-2018 at 11:59:59 PM (Eastern Time – Washington D.C.)
The DRFIP is undertaking a four-year DRF Analytics Project to improve the
understanding and to increase the capacity of governments to take informed decisions on DRF based on sound financial analysis. The objective of the project will be achieved through four outcomes:
i. Governments understand their financial risk related to natural disasters;
ii. Governments employ efficient financial/actuarial analysis, such as cost-benefit analyses, in the development of DRF strategies;
iii. Improved financial capacity to meet financial needs immediately following natural disasters; and
iv. Increased capacity in Governments to monitor and evaluate DRF strategies. Under this project a suite of interactive DRF quantitative tools will be developed which can be adapted and applied to support capacity building and decision making in countries.




access to education and improving learning outcomes for the forcibly displaced and affected host communities (ii) to improve our effectiveness to facilitate the transition and uptake from humanitarian education responses to long-term solutions for sustainable access to quality education for the forcibly displaced. The TORs aims to select an agency with extensive experience in practical, empirically grounded and field-based research as well as operation in education policy preferably in forced displacement context to conduct research on
firms to supply drone and street-view imagery data collection services in a secondary city in Indonesia. For the street view images, the firm will be expected to use both a car mounted camera as well as more portable 360-degree devices. For the drone images, the size of the area of interest (AOI) will total roughly 80 square meters, however the data can be parsed into manageable sized mosaics.

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