Consultancy – Household Survey

at Center for International Forestry Research (CIFOR)
Location Dodoma and Morogoro, Tanzania, United Republic of
Date Posted August 22, 2024
Category Consultancy
Management
NGO
Job Type Contract
Currency TZS

Description

JOB DETAILS:
Reference number: 202446
Job status: In-progress
Job category: Consultancy
Duty station: Dodoma and Morogoro, Tanzania

CIFOR-ICRAF
The Center for International Forestry Research (CIFOR) and World Agroforestry (ICRAF) envision a more equitable world where trees in all landscapes, from drylands to the humid tropics, enhance the environment and well-being for all. CIFOR and ICRAF are non-profit science institutions that build and apply evidence to today’s most pressing challenges, including energy insecurity and the climate and biodiversity crises. Over a combined total of 65 years, we have built vast knowledge on forests and trees outside of forests in agricultural landscapes (agroforestry). Using a multidisciplinary approach, we seek to improve lives and to protect and restore ecosystems. Our work focuses on innovative research, partnering for impact, and engaging with stakeholders on policies and practices to benefit people and the planet. Founded in 1993 and 1978, CIFOR and ICRAF are members of CGIAR, a global research partnership for a food secure future dedicated to reducing poverty, enhancing food and nutrition security, and improving natural resources.

CIFOR-ICRAF is looking for a

A Consultancy – Household survey

Overview
The International Centre for Research in Agroforestry (ICRAF) in cooperation with the Potsdam Institute for Climate Impact Research (PIK) and Sustainable Agriculture Tanzania (SAT) is implementing a research project on the adoption of innovative agroforestry approaches for holistic climate-resilience in the regions of Morogoro and Dodoma in Tanzania. A household survey will be implemented to cover 910 households in 12 villages in Morogoro and Dodoma from September 2024 to January 2025. The goal of the SCARF project is to identify, pilot and improve innovative agroforestry approaches to accelerate the long-term uptake of farm-level adaptation practices in the agricultural sector. Many good agricultural practices that are implemented to support households vulnerable to climate change challenges fail because their design did either not consider the specific socio-economic conditions, gender-aspects and differing realities of the targeted groups or the biophysical conditions in the specific area of implementation and how climate change may alter those.

Duties and responsibilities
1. Objectives of the assignment
The objective of this assignment is to examine the effects of agroforestry implementation by conducting a household survey. This survey will build upon four waves of existing panel data from the Tanzania Socioeconomic Panel (TaSEP) and a baseline survey conducted as part of the SCARF Project in Dodoma and Morogoro, Tanzania.

2. Tasks and Deliverables
The following indicative task and associated deliverables are expected at the end of this assignment:
• Develop data collection tools (e.g., questionnaire guides, and consent form) and present during the inception work for inputs from stakeholders. The tools shall be in both English and Swahili language(s) to minimize distortion of information by enumerators during the interview ( Deliverable 1 : Data collection tool)
• Recruit, train and supervise enumerators to pre-test data collection tools and conduct the household survey. A manual for enumerators will also be prepared to guide the training ( Deliverable 1 :Data collection tool)
• Collect information from farmers using the approved data tools and methodology as per the submitted proposal. ( Deliverable 2 :Progress report on household survey )
• Document the survey process and manage data collected. This include but not limited to processing and cleaning data collected by checking for inconsistencies and inaccuracies in raw data, accuracy in the household ID assigned to respondents. ( Deliverable 3 : Final report on household survey)

Requirements
• At least MSc. in a discipline relevant to Agricultural and Forest Economics, Natural Resource Economics, Environmental Sciences, or related fields. PhD in related fields is an added advantage.
• At least 3 years’ experience in conducting socio-economic surveys in Agriculture, Forestry, and Natural Resources.
• Experience with the German research infrastructure an asset to facilitate integration of Master and/or PhD students based in Germany eVxlR4q DmwvJk
• Excellent interpersonal and communication skills, with the ability to effectively interact with people in a multi-disciplinary and multi-cultural environment.
• Experience working with a wide and diverse network of groups, individuals, and farmers.

Education, knowledge and experience
• At least MSc. in a discipline relevant to Agricultural and Forest Economics, Natural Resource Economics, Environmental Sciences, or related fields. PhD in related fields is an added advantage.
• At least 3 years’ experience in conducting socio-economic surveys in Agriculture, Forestry, and Natural Resources.
• Experience with the German research infrastructure an asset to facilitate integration of Master and/or PhD students based in Germany
• Excellent interpersonal and communication skills, with the ability to effectively interact with people in a multi-disciplinary and multi-cultural environment.
• Experience working with a wide and diverse network of groups, individuals, and farmers.

Terms and conditions
ICRAF shall advertise the consultancy for competitive bidding. Interested individuals are requested to submit the following.
• A Technical and Financial proposal which should include a description of the methodology to be used, data to be collected, and a schedule of planned activities.
• CV(s) of the professional(s) with suitable references to undertake the consultancy.
• Two (2) samples of previous work related to this assignment.

Application process
The application deadline is 26 Aug 2024
We will acknowledge all applications, but will contact only short-listed candidates.

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