Garrett, K.A.

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Impact network analysis (INA)RTB Seed System Toolbox Course: 26, 28, 29 July 2021Karen GarrettUniversity of FloridaPurpose of impact network analysis (INA)Provides scenario analysis to evaluate seed system outcomes. Key types of questions include: ➢ What locations are particularly important for system management?➢ How are the benefits of the system distributed by gender and age?➢ How could subsidies and policies influence system outcomes?➢ Are observations over time in line with goals for project monitoring and evaluation?Structure of INA modelSocioeconomic networkExchange of information among decision makers, affecting variety/management adoptionSeed (and pathogen) movement networkDispersal of a crop variety or pathogen/pest, with establishment influenced by management adoptionGarrett 2021Level and uses of INALevel. Farm, village, country, or regionUsers. People who design, implement or evaluate seed systems.  INA may be used by people of different levels of experience with programmingOutput and audience of INAOutput. Scenario analysis answering key questions identified by the research group, and new input for prioritizing field studies.  Answers ‘what if’ questions about potential management and policy changes.Audience. Seed intervention designers, implementers, evaluators, practitioners, researchers, donors and policy makersMinimum sample size for INAINA can be used to consider hypothetical scenarios, without any data collectionWhen precise estimates are needed for a particular system, enough data to characterize the system is neededJ. H. Hernandez NopsaResources and timing for using INANumber of people: 1+ people to organize the data and define the scenarios of interestEquipment: a computer with R software (R is free)Expertise: 1+ team member needs experience evaluating biological/agricultural models in RIf data are already in hand, or for a hypothetical scenarioINA can be used at any point in a seed system project, when there are data or concepts availableDuration, INAIn a one-day workshop, an individual can provide a scenario, or a team can provide a group perspective, and evaluate outcomesEstimating parameters for the model from a complicated data set may take a researcher a few weeksIf new variations on the existing code are needed, this may take an experienced R programmer several weeksSteps for using INAStep 1. Decide on the questions to be asked using INA (as an individual or as a group)Step 2. Estimate model parameters from existing data (or define a hypothetical scenario)Optional step 3. Collect new data describing seed systems in the fieldSteps (continued)Step 4. Use the estimates (or scenario information) in the program in R to evaluate scenariosStep 5. Evaluate the output of the model in light of the questions, and consider potential follow-up analysesStep 6. Summarize the results for stakeholders and prepare a report and/or a journal articleBuddenhagen et al  2021Methods that can be combined with INALiterature review. Parameter estimates may come from published literatureBiological studies in the field. New data may be collected to characterize crops, pathogens, and field conditionsSocial studies in the field. New data may be collected to characterize farmer decision making about management choices, and the structure of seed systemsGachamba et al, in prep.GenderQuestions used with INA can incorporate gender – for example:If gender influences access to management (e.g., resistant varieties, options for seed selection, purchase of clean seed), what are the implications for farmer success over time?If gender influences a person’s position in seed networks, what are the implications?How would seed systems need to change to be equitable with regard to gender or other human traits?Limitations of INAIt may be challenging to collect enough data about the structure of seed systems to give preciserecommendations based on INA, so some analyses may be limited to discussion of general traits of systems.Main advantages of INAImproves understanding of how seed systems function and what strategies are likely to be more successfulRecent cases:Introduction of the model and illustration of general scenarios for regional disease or crop variety management. Methods in Ecology and Evolution. HEREPotato seed systems in Ecuador. Phytopathology. HERESweetpotato seed systems in Uganda. Phytopathology. HEREPotato seed systems in Republic of Georgia. Ag. Systems. HEREThank youContact personKaren Garrettkarengarrett@ufl.eduUser guide: Garrett, K.A. 2021. User guide to impact network analysis (INA). Lima (Peru). CGIAR Research Program on Roots, Tubers and Bananas (RTB). RTB User Guide. No. 2021-4. https://doi.org/10.4160/9789290605768Description sheet: Garrett, K.A. 2021. Description sheet for impact network analysis (INA). Lima (Peru). CGIAR Research Program on Roots, Tubers and Bananas (RTB). https://doi.org/10.4160/9789290605843

Impact network analysis (INA) RTB Seed System Toolbox Course: 26, 28, 29 July 2021.

https://cgspace.cgiar.org/bitstream/10568/114607/1/Day2-3.pdf

Impact network analysis (INA) RTB Seed System Toolbox Course: 26, 28, 29 July 2021.

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