TERMS OF REFERENCE THE WORLD BANK Project Task/Title Data collection supervisor/survey field monitor/trainer.

Closing Date: April 17, 2019




Project Task/Title Data collection supervisor/survey field monitor/trainer.

Location St. Lucia

Duration of the contract 20 days (from May 2019 to June 2019)

Type of contract Local individual short-term consultant (STC)

1Project Description

Saint Lucia is exposed to high levels of risk from meteorological and geologic hazards which have negative impacts on its economic and fiscal stability. Existing empirical evidence suggests that natural disasters affect the poor and socially vulnerable disproportionately, as both have higher sensitivity to disaster events and lower economic ability to recover from the negative impacts of such events relative to the less vulnerable population segments. Direct empirical evidence from Saint Lucia and the Eastern Caribbean, however, is scant.

The objective of this project is to analyze the welfare impacts of natural disasters on social vulnerability in order to inform disaster risk management (DRM) and other relevant strategies and policies, in particular, to be able to better target the poor and socially vulnerable in a comprehensive DRM Program.

Saint Lucia has advanced DRM and climate resilience significantly by introducing the National Hazard Mitigation Policy (2003), establishing the National Emergency Management Organization (NEMO) (2006), and enacting the National Disaster Management Plan (2007) to better guide assessment, prevention and post-disaster response activities.

National Social Protection Policy (2015) – provides a clear framework for enhancing equity, efficiency and transparency in the delivery of social protection services. The Policy’s overall goal is to provide a framework that promotes equity and enhances the well-being and capacity of poor and vulnerable households and populations in Saint Lucia to protect their consumption; invest in their future; and contribute meaningfully to national sustainable development. Relevant to the topic, the Policy also includes measures to reduce the consequences and impact of shocks.

Given this context, the DRM team has been working closely with the counterparts in the Ministry of Economic Development and the Central Statistics Office to prepare the Project, including: (i) identification of potential proxies for poverty; and (ii) developing a disaster risk management shocks module that was included in the national poverty survey.

The project will contribute to increased understanding and quantification of the impact of disasters on poverty, social vulnerability and welfare. These in turn would enhance Saint Lucia’s ability to integrate DRM into future socio-economic planning and policies. In addition, it would contribute to the World Bank’s twin goal of poverty reduction through better understanding and quantification of the relationship between disasters and poverty. 


2Objectives of this consultancy

The consultant will provide support to the implementation of SWIFT-DRM survey in St. Lucia. The consultant will work under the supervision of the World Bank team and will be closely monitoring the survey firm responsible for administering the survey. Moreover, the consultant will be a part of all the field

3Specific tasks

The consultant will:

  1. Work under close supervision of the world bank team and work with the survey firm on a daily basis.
  2. Assist in the preparation and implementation of the training of interviewers and supervisors, including development of interviewer, supervisor and data entry operator manuals and supervision instruments.
  3. Assist in the audit of the listing exercise.
  4. Participate in the pilot survey and first days of data collection, and document challenges, identify necessary changes to protocol, questionnaire.
  5. Assist in auditing and monitoring the actual survey.
  6. Support to the write-up of the final report on risks and poverty in St. Lucia.

4Outcomes and deliverables

The consultant will produce progress reports, highlighting main accomplishments, results and flagging areas of concern, if any.

  • Progress report 1 on listing.
  • Progress report on training and piloting the survey.
  • Progress report on final questionnaire and field monitoring.
  • Ensure that the data collected in the field is valid and ensure that all the data has been properly transferred to the team on completion of the survey.
  • Basic data analysis and help with the report.

In addition, the consultant will provide written notes as requested by team on any emerging areas of concern.

5Special conditions

Contract duration, level of effort, and schedule of deliverables

The duration of the contract will be from May 1st, 2019 to June 30th, 2019, with a level of consultant effort of 20 days within this period.  The rate of the consultant will be defined according to experience and Bank’s rates.

Contractual relationship and reporting

The consultant will work under the supervision of XXX (Economist, GPV04). They will be monitoring and supervising the work of the survey firm in listing (which is almost complete), and the actual survey.

Consultant desired profile

The consultant should comply with the following profile:

  • Master's degree in a relevant field such as development economics, statistics, etc.
  • Ability to be in the field as needed. Ability to travel to the field and move around.
  • Knowledge of STATA, ARCGIS/GPS data and CAPI.
  • Experience organizing and evaluating households’ survey in challenging environments, including sampling; data quality assurance; questionnaire design; fieldwork organization; and training implementation.
  • Excellent skills and experience in project management under challenging conditions. Experience working in developing countries preferred.  
  • Previous experience working with international institutions, and government agencies.
  • Fluency in English.

Please send your CV, writing sample and stata code (if you have it) to ffatima@worldbank.org and pgunio@worldbank.org by May 15, 2019. We will interview and select on a first come first serve basis.

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