104 Chapter 4 January to a selected group of people in the initiative, followed by the organization of a workshop in February and interviews in the period January – June. The Secretariat of the Foresight4Food Initiative (of which two members are co-authoring this paper) selected participants based on (a) practical experience with anticipation processes (the initiative also involves members that are predominantly scholars or policymakers), and (b) engagement with a broad range of decision-makers (including in private and nongovernmental organizations). A total of 24 participants, who worked for 19 different projects across the globe, took part in our research. In 3 cases (Sentinel, AgMip and CCAFS), 2 or 3 participants joined, but they were working on different geographical locations or scales, and/or using different methods. Table 4.2 below gives overview of the 19 projects that the 24 participants worked for, and a synthesis of the anticipatory methods and tools they identified as part of their project. Table 4.2 Overview of projects and their anticipatory methods, according to participants Project Anticipatory methods used by participants 1 Agrimonde-Terra Trend analysis, scenario building with five expert groups using morphological analysis, simulation of scenario impacts on land use, agricultural production and trade through biomass balance model GlobAgriAgT 2 Poseidon Project Agent-based model of fisheries 3 Farmers of the Future Horizon scanning, megatrend analysis 4 Impressions Participatory scenario analysis and simulation model development, visioning and back casting 5 Senses Story and simulation, fuzzy cognitive maps, visioning and back casting 6 Social and Environmental Trade-Offs in African Agriculture (Sentinel): 2 participant representing participatory scenarios analysis and quantitative scenario analysis) Participant 1: Participatory scenario analysis, back casting Participant 2: Simulation land use and land cover, story and simulation, maps of land use change 7 Livestock, Environment and People (LEAP) Financial analysis of land use optimization, linear mathematical programming of 3 scenarios, cost-engineering framework 8 Sustainable Urban Patterns (SUPat) Agent-based model, qualitative and quantitative scenarios
RkJQdWJsaXNoZXIy MTk4NDMw