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#Care international jordan full
Providing conditional cash for the full school year of at least 10 months is believed to be more effective and protective for children in need.At minimum, the children receiving conditional cash should be differentiated by age: young (6-11) and old (12-16). Different interventions are required for different groups of children.
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Providing awareness sessions on the importance of education is a small cost component of conditional cash that could be cost-effective.
#Care international jordan free
It can free up funds to reach at least 40 percent more children with conditional cash, or allow existing recipient households to benefit from other economic resilience interventions. Tweaking the transfer size and frequency can affect cost-efficiency by more than 30 percent.Conditional Cash for Education and Protection cost $1,474 per child on average, across nine projects within the program portfolio.Beyond this he/she also supports the Program Manager(s) to implement core processes and activities of the program(s) as well as the head of section in programme reporting.This case study summarizes an analysis conducted by CARE using the Dioptra tool to generate cost-efficiency estimates for Conditional Cash for Education and Protection in Jordan. The Programme Officer (Social Assistance) on will be accountable for providing a structure that supports the efficient management of data analysis and information management in the context of UNICEF cash programmes. The Programme Officer (Social Assistance) will provide technical support for the design, planning, implementation management, monitoring of UNICEF’s cash transfer programme/project activities, that is consistent with UNICEF rules and regulations and supports the national social assistance system. Under the general supervision and guidance of the supervisor, the Programme Officer (Social Assistance) will provide guidance and technical assistance to support the UNICEF Lebanon country office in launching and implementing cash transfer programmes to contribute to achieving results for children. The incumbent will carry out regular country visits to support teams on site. The incumbent will provide technical support and guidance to other UNICEF security and security analyst posts in the region and will establish a functional network for information sharing between them. The incumbent will provide programmatic security support and analysis for all programs which will strengthen regional strategic orientations and inform existing strategies, including communication and access strategies and provide the basis for measures to assist in reducing the number of targeted population missed in hard to reach areas. The incumbent will develop country and regional specific thematic analysis of specific insecure areas, analysis of the underlying cause of inaccessibility and insecurity, the local dynamics, and planning and implementation of mitigation measures customized to the local context and risk analysis.
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Under the direct supervision of the Regional Security Advisor UNICEF, the Security Specialist will provide specific analysis, advice and support to the Regional/Country Offices relative to the UNICEF programme activities and operations in insecure areas as well as affected personnel and partners. If you’re a research scientist with AI skills and a passion for trying to push the envelope on how we can use big data, machine learning and more to help UNICEF help children, then this consultancy is for you. And we need accurate, frequently updated data in order for us to deliver that programming using risk informed responses within challenging conflict zones and areas of instability. We need data, timely, granular data to help us make evidence-based programme decisions for rapidly emerging and evolving humanitarian crises. We’re partnering with other agencies to improve pandemic prediction and preparedness. We’re looking at environmental risks to children, from both climate change and increasing urbanization. We’re using AI to improve our knowledge of where families live with respect to schools, health facilities, and access to water, sanitation and hygiene. The Data & Analytics team in UNICEF is using big data and machine learning to try and answer some of the most pressing questions facing children today.