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Child Centered Risk Assessment Consultancy

Suva

  • Organization: UNICEF - United Nations Children’s Fund
  • Location: Suva
  • Grade: Administrative support - SC-2/SB-1, Service Contract
  • Occupational Groups:
    • Social Affairs
    • Children's rights (health and protection)
    • Statistics and Monitoring
  • Closing Date: Closed

If you are a committed and creative professional who is passionate about making a lasting difference for children, the world's leading children's rights organization would like to hear from you. UNICEF Pacific is seeking to engage a motivated individual to update the child-centered risk assessments for 9 Pacific Island Countries in preparation for our new country programme from 2018-2022.

 Purpose of Assignment:

The purpose of such child-centred risk assessments is not just to produce maps, but to use them as tools for planning as well as programme design and implementation, and for advocacy on child-centered Disaster Risk Reduction and Climate Change Adaptation. By reconsidering the geographical focus, the beneficiaries, the outreach, the timing and the approach, UNICEF programme interventions can become effective risk reduction and adaptation interventions. UNICEF Pacific is currently developing its new country programme for 2018-2022, and will use the CCRA as a vital input to risk inform it.

Objectives

The consultant/contractor shall update the child-centered risk assessments for Tonga, Tuvalu, Samoa, FSM, Marshall Islands, Fiji, Vanuatu, Solomon Islands and Kiribati by looking at country specific priorities risk index. The consultant/contractor is expected to expand on the methodology developed for the child-centred risk assessments to document any necessary inconsistences with that methodology due to data availability, produce key risk maps, provide country priorities risk briefs and to provide a full annotated dataset including all 9 countries.

The consultant will work under the direct supervision of the Head of WASH in Suva, Fiji an expected to conduct this assignment in three phases, as follows:

Phase 1. Refining of methodology

  1. Identify country-specific priorities, needs and information available through direct involvement of the relevant CO and key stakeholders as indicated by UNICEF.

     

  2. Discuss the most suitable format of the CCRA outcomes to meet UNICEF staff's knowledge and skills. For example, GIS data can be packaged in a way to simplify accessibility and interpretation from users without technical background.

     

  3. Discuss options for in-country training of UNICEF staff

     

  4. Prepare a final and agreed conceptual and analytical framework for the risk analysis that will address each country's key priorities.

     

    Phase 2: Refine country specific CCRAs

     

  5. Analyse available relevant geospatial data on hazards or use pre-existing hazard maps and modify the analysis to produce individual hazard map and also include a composite hazard map i.e. earthquake and tropical cyclone from SPC's Pacific Catastrophic Risk Financing Initiative (PCRAFI), flood and landslide induced by precipitation (e.g. national meteorological or statistical office), drought and drought intensity from Columbia University's drought frequency dataset, climate change and adaptation (e.g. PACE-SD-University of the South Pacific),       resulting in the geospatial distribution of normalized weighted hazard contribution and example maps. Also explore possibility to include effects of climate change from IPCC projections such as sea level rise.

     

  6. Analyse data on exposure in terms of geospatial distribution of children (0-18 years old), using census data available through SPC's PRISM project (Tonga, Tuvalu, FSM), through REDATAM (Samoa), or directly from the national authorities (Marshall Islands). The geospatial distribution of children should also be calculated relative to the availability of basic services such as schools, hospitals/health centres and sanitation facilities; natural buffer such as land cover/vegetation; and the location of the community relative to disaster i.e. frequent landslide/strongwinds on the hill, floods near the river/ on the valley, near shores relative to coastal inundation and erosion from sea level rise, resulting in the geospatial distribution of normalized child exposure and example maps.

     

  7. Analyse data on vulnerability in terms of different child-centred indicators from UNICEF key sectors such as Health, Nutrition, Education, WASH, Child Protection and Social Policy that are relevant for determining how susceptible children are to the impact of each of the hazards above and also to combination of multiple hazards. Data source for indicators are available in the national surveys & SPC NMDI database. It is important to use data on the lowest available level of aggregation. The results are normalized weighted vulnerability indices for each sector and example maps.

     

  8. Analyse risk by computing the spatial distribution of the risk contribution of each hazard and then aggregating them together. Two risk indices should be computed, one societal focused risk index combining hazard, exposure and vulnerability indices, and one individual focused risk index only combining hazard and vulnerability indices. The analysis will fully capture the sectoral indices and hazard specific risk indices and maps for each of the 9 countries including Federated States of Micronesia, Fiji, Kiribati, Marshall Islands, Samoa, Solomon Islands, Tonga, Tuvalu, and Vanuatu,

    Phase 3: Validation, capacity building and reporting

     

    1. Validate the analysis findings with the country office.
    2. In country training of UNICEF staff and partners
    3. Produce a first complete draft of the report which will include chapters on 9 country specific analysis. This will include tables, graphs and maps
    4. Produce second draft of the report integrating inputs from the validation workshop and comments on the first draft.
    5. Consideration of and comments on the second draft of the report by the steering committee.
    6. Final draft text of report is prepared, formatted and published. The consultant/contractor should also provide a coherent set of annotated data files and GIS layers that includes all 9 countries

     

A copy of the detailed terms of reference is attached

Download File External TOR CCRA TOR _Final 21122016.docx

QUALIFICATIONS AND SPECIALISED KNOWLEDGE/COMPETENCE REQUIRED FOR THIS CONSULTANCY

Qualifications

  • Advanced Degree in one of the disciplines relevant to the following areas: Geography, Water & Sanitation Engineering, Risk Assessment, or a field relevant to WASH or DRR related development assistance.
  • Additional training in GIS and quantitative data analysis.

Experience

  • Three years progressively responsible experience in data analysis and research.
  • Experience in geospatial analysis (GIS and/or remote sensing).
  • Experience working with UN, Government and NGO partners is desirable.

Languages

  • Fluency in English

 

TYPE OF CONTRACT:

  • Total estimated time for this consultancy is an estimated input of 60 work days (more than one staff member may be working on any given day)

Interested candidates must submit the following documents with their application in order to be considered

  • A cover letter describing how you meet each of the requirements listed above (max. 2 pages)

  • Updated CV and completed UN Personal History Form (P11)

Download File Personal History Form UN P 11 -UNICEF version.doc

  • Your financial and technical proposal please indicate your ability, availability and daily/monthly rate (in US$) to undertake the terms of reference above (including travel and daily subsistence allowance, if applicable).  Applications submitted without a daily/monthly rate will not be considered.

UNICEF is committed to diversity and inclusion within its workforce, and encourages qualified female and male candidates from all national, religious and ethnic backgrounds, including persons living with disabilities, to apply to become a part of our organisation.

 

 

This vacancy is now closed.
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