IFPRI is seeking a Firm/Organization as a survey implementer to conduct a community survey, intrahousehold and plot survey and with considerable experience in collecting and handling plot level soil samples data in Uganda. This requisition is open to Firms/organizations situated in Uganda only.
Background:
Energy, water and food insecurity are deeply intertwined. IFPRI previously had conducted a survey on soil health and gender in 2003 and 2012. This third survey round will trade the original households but expand on the previous two rounds in two dimensions: First, the survey aims to integrate farmers with newly acquired solar irrigation pumps and second the survey aims to increase the intersectionality of the survey by integrating the new WEMNS metric.
Specifically, this follow-up survey will track communities and geo-referenced households with their geo-referenced plots and collect detailed quantitative data (120 communities, 850 households and 3600 plots spread in the four major regions of Uganda and across agro-ecological zones). The tracing survey will also require enumerators to be involved in collecting soil samples from the surveyed household plots (on women owned plots and men owned plots) which will be sent for eventual laboratory soil analysis of soil chemical properties and physical properties. This survey will, additionally, survey a random sample of 400 households out of a database of approximately 4000 households with solar irrigation pumps to assess the changes in activities and behavior of farmers following solar irrigation pump acquisition compared to irrigators without solar pumps and rainfed farmers from the 850 household sample.
This quantitative research study supports the CGIAR Initiative โNEXUS Gains: Realizing Multiple Benefits Across Water, Energy, Food and Ecosystems (Forests, Biodiversity)โ research in the Nile Basin.
The main research questions for the study are:
1. What are the long-term trends and patterns in soil health in Uganda between 2003-2024 and how have they changed between 2003-2012 and 2012-2024?
2. Are there discernable differences in soil health in these patterns and trends between women owned plots and men owned plots?
3. How has the adoption or disadoption of sustainable land management practices and soil and water climate smart practices changed over time between 2003-2004?
4. How does womenโs empowerment interact with soil health?
5. How has the adoption of sustainable land management practices and soil and water climate smart practices changed on women plots compared to men plots over time?
6. How have the gender gaps in crop productivity and soil health parameters changed over time between women and men plots. Are the gender gaps in soil health and crop productivity worsening or narrowing over time between 2003-2024? What are the driving factors?
7. What are the linkages between energy and water access and agricultural productivity and food security in Uganda?
8. How does the adoption of solar irrigation pumps affect farming practices? Are solar pumps used on womenโs or on menโs plots?
9. How does solar irrigation mitigate climate extreme events?
10. How does solar irrigation affect water used compared to other irrigation practices?
Statement of Work:
The selected firm/organization will be responsible for coordinating and conducting a face-to-face computer-assisted personal interviewing (CAPI) based quantitative survey on 120 communities and 850 households in Uganda for the tracing survey and on a further 400 households for the solar survey.
The activities of the survey implementer are detailed as follows:
1. The survey firm will be given the original sampling frames of communities, households and plots. All these are georeferenced. The survey firm will not do any additional sampling or an additional replacement.
2. For the solar survey, the firm will similarly receive geolocations of solar pumps.
3. Translate survey consent forms into the major local language (s) In Uganda for each region (as needed).
4. Obtain local ethics clearance, research permits, and/or other local approvals as required by the data laws of Uganda.
5. Provide tablets for CAPI data collection
6. Together with IFPRI staff, prepare the field implementation manual prior to enumerator training. The field manual will be the basis for quality assurance of the data collection process
7. Organize the selection, hiring, and payment of enumerators to conduct the required data collection work. This will include hiring both male and female interviewers with the necessary language skills to ensure respondents for the individual interviews are matched on sex.
8. Facilitate and ensure the smooth operation of the enumerator training and survey pretest in collaboration with IFPRI staff. It is expected that there will be a 5-day training, followed by a 2-day pretest and debrief, for the quantitative survey.
9. Develop a field schedule for the quantitative data collection teams and community surveys, and provide regular status updates during fieldwork.
10. Develop spot- and back-check protocols and share these with IFPRI for feedback prior to the start of data collection.
11. Participate in weekly meetings with IFPRI throughout data collection.
12. Share the data generated from the spot and back-checks and additional data collection concerns with IFPRI in a timely manner so that issues can be promptly resolved.
13. Share the data generated from CAPI (in Stata format) with IFPRI during data collection, as and when the data is uploaded to the servers. These data will not be the cleaned data sets (except for variable and value labels, checking and correcting skip patterns, formatting the data in long format as required), but the raw data sets as sent to the firm from their survey teams.
14. Conduct data cleaning to ensure consistency and range-checks; share the error check do-files with IFPRI.
15. Provide responses to queries from IFPRI in relation to data cleaning (as needed).
16. Deliver cleaned data sets (in Stata format) from the households in long format with file names that will be provided by IFPRI. IFPRI will provide the data files structure used in the previous surveys, so the Firm provides the data in the same structure to allow comparability and easy extraction of data at analysis. The dataset should include translation of any open-ended questions from local languages to English if necessary.
17. Provide a brief report covering quantitative survey fieldwork, as well as any issues related to data management and cleaning.
Period of performance: July 1, 2024 to September 30, 2024.
Required Qualifications:
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