Background
I. Background
UN Women, grounded in the vision of equality enshrined in the Charter of the United Nations, works for the elimination of discrimination against women and girls; the empowerment of women; and the achievement of equality for women as partners and beneficiaries of development, human rights, humanitarian action and peace and security. Placing women’s rights at the centre of all its efforts, UN Women leads and coordinates United Nations system efforts to ensure that commitments on gender equality and gender mainstreaming translate into action throughout the world.
To support member states in implementing the 2030 Agenda, UN Women’s Flagship Programme Initiative “Making Every Woman and Girl Count (Women Count)” aims to affect a radical shift in the availability, accessibility and use of data and statistics on key aspects of gender equality and women’s empowerment. The Asia-Pacific regional component of the MEWG Programme, in particular, supports countries across the region to build a supportive environment for the production of gender data, increase the quality and availability of this data, and ensure gender statistics are accessible to users in governments, civil society, academia, the private sector and the general public.
The Asian and Pacific Civil Registration and Vital Statistics (CRVS) Decade, 2015-2024, was proclaimed in 2014 at the first Ministerial Conference on CRVS in Asia and the Pacific. Through the declaration of the Decade, governments marked 2015-2024 as a timeframe for realizing their shared vision that all people in Asia and the Pacific will benefit from universal and responsive CRVS systems facilitating the realization of their rights and supporting good governance, health and development. Member States committed to “promoting gender equality and the empowerment of women and girls through the provision of documents to prove family relations and civil status, and the production of age-, sex- and geographically disaggregated statistics”. In connection to this, a Ministerial Conference on CRVS will be held in Bangkok in 2021. The conference will include a session on using CRVS to inform gendered responses to COVID-19 in Asia and the Pacific. In contribution to this event, and in order to generate a knowledge product that can enhance the availability of evidence on how CRVS can be used to inform emergency responses, UN Women is seeking the services of a consultant.
Duties and Responsibilities
II. Duties and Responsibilities
Under the supervision and guidance of the Gender Statistics Specialist, the consultant will undertake the following tasks:
- Using CRVS microdata from at least one country in Asia-Pacific, conduct gender analysis of the differentiated consequences of COVID-19 among women and men (e.g. cause of death, cases by type of job, location, etc) and assess gender data availability and gaps in the context of providing information to inform gendered responses to the COVID-19 crisis;
- Building on the analysis described under (1), draft a paper (15 pages) explaining how this data was used (where available) and could have been used (where not available) to inform gender-sensitive responses to COVID-19.
- Include a conclusion section (3 pages) with specific recommendations to improve the availability and quality of CRVS data, particularly in the context of informing gender sensitive responses to crises.
- Prepare a power point summarizing the findings of the paper (10 slides)
III. Expected Deliverables
Deliverable | Timeline |
Summary of findings (excel sheet with data tables, and word document with description of key findings) from analysis of CRVS microdata from at least one country in Asia-Pacific, including:
| 15 November 2020 |
First draft of paper, including:
| 30 November 2020 |
Final draft paper incorporating feedback from UN Women and partners
| 15 December 2020 |
Final draft PPT summarizing the findings from the paper | 15 December 2020 |
Competencies
IV. Competencies
Knowledge and experience:
- Thorough knowledge of statistical practices for CRVS registries and related data analysis.
- Demonstrated knowledge of gender equality, disaster/humanitarian interventions and the Asia-Pacific region.
- Excellent writing skills. Experience writing policy briefs or statistical papers.
- Experience working in CRVS within a national statistical system highly desirable.
- Previous experience working in partnership with UN Women and other UN agencies an advantage.
- Fluency in English.
Corporate Competencies:
- Demonstrates integrity by modeling the United Nations' values and ethical standards.
- Promotes the vision, mission, and strategic goals of the UN and UN Women.
- Displays cultural, gender, religion, race, nationality and age sensitivity and adaptability.
- Ability and willingness to work as part of a team to meet tight deadlines and produce high quality work.
Required Skills and Experience
V. Required qualifications
- Master’s degree in statistics, mathematics, econometrics, gender studies, sustainable development, humanitarian affairs, and/or any relevant field directly related to gender statistics;
- Minimum five years of relevant work experience at national or international level in microdata analysis, administrative data registration, and data reporting, ideally in the areas of CRVS and/or gender statistics.
- Minimum five years of relevant work experience writing policy briefs or statistical papers, including in the areas of gender statistics and CRVS;
- Demonstrated experience analyzing microdata with STATA;
- Excellent communication skills in English.
VI. Contract period and work location
The consultant will be home-based, and the contract period will be for two months (November-December 2020).
VII. Evaluation
Applications will be evaluated based on the cumulative analysis.
- Technical Qualification (100 points) weight; [70%]
- Financial Proposal (100 points) weight; [30%]
A two-stage procedure is utilised in evaluating the applications, with evaluation of the technical application being completed prior to any price proposal being compared. Only the price proposal of the candidates who passed the minimum technical score of 75% of the obtainable score of 100 points in the technical qualification evaluation will be evaluated.
Technical qualification evaluation criteria:
The total number of points allocated for the technical qualification component is 100. The technical qualification of the individual is evaluated based on following technical qualification evaluation criteria:
Technical Evaluation Criteria | Obtainable Score |
---|---|
Education
|
15% |
Experience and skills
|
30% |
| 30% |
| 15% |
Language and report writing skills
| 10% |
Total Obtainable Score | 100 % |
Only the candidates who have attained a minimum of 75% of total points will be considered as technically-qualified candidates who may be contacted for validation interview.
Financial/Price Proposal evaluation:
- Only the financial proposal of candidates who have attained a minimum of 75% score in the technical evaluation will be considered and evaluated.
- The total number of points allocated for the price component is 100.
- The maximum number of points will be allotted to the lowest price proposal that is opened/ evaluated and compared among those technical qualified candidates who have attained a minimum of 75% score in the technical evaluation. All other price proposals will receive points in inverse proportion to the lowest price.
VIII. Submission of application
Interested candidates are encouraged to submit electronic application to hr.bangkok@unwomen.org with -cc to r.limkitisupasin@unwomen.org not later than 4 November 2020, 23:59 Bangkok time.
Submission package includes:
- Letter of Motivation
- Personal History Form(P11)
- Writing sample
- Financial proposal: the financial proposal shall specify the lump sum fee per deliverable.
IX. Payments
Payments for this consultancy will be based on the achievement of each deliverable and certification that each has been satisfactorily completed. Payments will not be based on the number of days worked but on the completion of each stated deliverable within the indicated timeframes.