Background:

The International Food Policy Research Institute (IFPRI) is an independent and trusted research institution and the CGIAR’s center of excellence for agricultural, food security, and nutrition policy, with a track record of substantive engagement with governments worldwide and credibility among national governments, development partners, and the global research community. IFPRI provides research-based policy solutions to sustainably reduce poverty and end hunger and malnutrition in developing countries. IFPRI’s vision is a world free of hunger and malnutrition. Its mission is to provide research-based policy solutions that sustainably reduce poverty and end hunger and malnutrition. IFPRI’s research focuses on five strategic research areas: (i) fostering climate-resilient and sustainable food supply; (ii) promoting healthy diets and nutrition for all; (iii) building inclusive and efficient markets, trade systems, and food industry; (iv) transforming agricultural and rural economies and (v) strengthening institutions and governance.

The proposed TEAA will provide the agriculture sector the necessary research, evidence and knowledge to expand private sector opportunities, enhance household nutrition and resilience, and improve natural resource management. Under TEAA, IFPRI will support the implementation of the new Agricultural Sector Development Program up to 2030 and strengthen the analytical and policy research capacity of the Ministry of Agriculture, Tajik Academy of Agricultural Sciences (TAAS), and other local stakeholders.

A conducted comprehensive capacity needs assessment (CCNA) of the MoA and TAAS shows capacity and knowledge gaps on data processing, data analysis and evaluation, as well as on employing MS Excel (Spreadsheet). To address existed knowledge gaps IFPRI plan to conduct for the MoA and TAAS staff training on employing MS Excel on statistics, data and economic analysis.

Required qualifications:

• Advanced Degree (PhD) in Economics, Agricultural Economics, Math or Statistics or closely related fields
• A minimum of 10–12 years of working experience in academia or development-oriented organizations
• Experience in delivering lectures/training to a wide range of audiences with different educational backgrounds.
• Experience in teaching statistics, mathematical and econometric modeling methods
• Perfect public speaking, pedagogical skills, ability to deliver complex information in simple form to the audience with different educational background and math and statistics skills.
• Strong analytical skills and economic interpretation of results and findings.
• High level of communication and interpersonal skills and experience in working effectively in a multicultural environment
• Fluent in Russian and Tajik: knowledge of English would be an asset.

Deliverables:

Deliverable 1 : Training materials prepared (Tajik (or Russian) and English languages) and agreed with IFPRI: short notes (MS Word and PPT); practical exercises (MS Excel) and individual work (MS Excel). Tajikistan macro and agriculture statistics to be used from available open sources.

Deliverable 2 : Conduct training: lecture (10%), practical exercises (50%) and individual work (40%). Training to be conducted in Tajik or Russian.

Deliverable 3 : Report (in English) on conducted training, incorporating training participants knowledge test (pre- and post-training per developed template in line with training agenda).

Timeframe:

Between August 10 – September 25, 2023.

Other Requirements:

• Applicant’s most recent CV
• Daily rate (supported by existing contract, if there’s any) and indicate number of w/d required to deliver services (highlighted need to be added)