datetime_create,datetime_latest,"Resource Name *","Description *","Contact *","Resource Author(s) *","Featured image (optional)","Type of resources *","Approaches *","Methods *",Themes,"Case Study combining several methods","Trainees *","Training Duration","Feedback on teaching experience",Documents,Documents,Documents,"Website Resource 1","Website Resource 2","Illustrative research article","Contact of the illustrative article","Quick description of the illustrative article","License to use the resource *","Explain Other","Moderate visibility","Notification new entry"
"01/10/2026 14:57:31","01/10/2026 14:57:31","Appreciative Inquiry","Appreciative Inquiry (AI) is a participatory research and facilitation approach that focuses on strengths, successful practices, and positive experiences rather than problems or deficits. ","""Descheemaeker Katrien""","Maela Roudaut",,"""Course material""",Assess,"""Assessment framework""","Agriculture,Food,Land,Water",,"Master,PhD",,"This tool was introduced as part of the two-week intensive course Farming Systems and Rural Livelihoods Analysis, a specialized course in systems science organized in Malawi by CGIAR in collaboration with Wageningen University. Designed for PhD students, the course combined theoretical and methodological sessions focused on the analysis of farming systems and rural livelihoods. The tool was presented within this theoretical framework as a method for understanding and analysing farming systems and rural livelihoods. The course brought together participants from different nationalities and disciplinary backgrounds, who were divided into four groups working in different locations representing contrasting farming systems shaped by differences in agroecological conditions, institutional contexts, and market environments. An overview of the course and the different modules taught is available in the “Capacity Development” section.",,,,,,,,"Title + Description","""Creative Commons CC BY-NC""",,,
"13/05/2025 10:32:02","21/01/2026 16:23:42","Calibration and validation of APSIM–Maize, DSSAT CERES–Maize, and AquaCrop models for Ethiopian tropical environments"," This article compares the performance of three process-based crop models (APSIM–Maize, DSSAT CERES–Maize, and AquaCrop) under Ethiopian tropical conditions. Using field data from three agro-ecological sites and four maize varieties, the study conducts model calibration, validation, and ensemble analysis. The findings demonstrate that ensemble modeling significantly improves simulation accuracy and reduces uncertainty compared to individual models. ","""Maela  Roudaut""","Hirut Getachew Feleke, MJ Savage & Kindie Tesfaye",,Article,"Define,Analyse,Assess,Design","""Functional models""",Agriculture,,Master,,,,,,,,,,,non_free_licence,,,
"22/05/2025 01:29:27","21/01/2026 16:25:01","Case study to advocate for systeme science in agricultural faculties","It clearly shows that there is a gap between the logic of research and development and the logic of farmers in 3 subsaharan africa public and private extension programmes.","""SONDE POUSGA Salimata""","Salimata POUSGA, Ismail Moumouni and Sofia BOQVIST",,Article,"Define,Assess","""Assessment framework""","Agriculture,Food",,Master,,,https://system-s.org/files/ArticleS_fichierfichier_Salimata__case_study_to_advocate_for_systeme_science_in_subsaharan_agricultural_universities.pptx_20250522012927_20250522012927.pdf_,,,,,,,,PubD,,,
"22/01/2026 16:10:35","23/01/2026 11:05:37","CLEANED (Comprehensive Livestock Environmental Assessment for Improved Nutrition, a Secured Environment and Sustainable Development along Livestock Value Chains)","CLEANED  is a rapid environmental impact assessment tool that allows users to explore multiple impacts of developing livestock value chains using forecasting methods. It models the foreseen impact of changes in the livestock production systems and value chains along several pathways on land use, productivity, economics, water impacts, greenhouse gas emissions, and soil health in order to support decision making with multiple objectives.","""Maela  Roudaut""",?,,"Video,""Website Resource""",Assess,"""Assessment framework"",""Functional models""","Agriculture,Land",,Master,,,,,,https://alliancebioversityciat.org/tools-innovations/cleaned,https://youtu.be/8iUfXEAX764,,,,CC,,,
"12/05/2025 18:32:10","09/04/2026 18:31:16",CoProdScope,"CoProdScope is a digital tool designed for agricultural advisors that aims to help agropastoralists in the savannah areas of sub-Saharan Africa to enhance the value of their crop (straw, haulm, stalks) and livestock (solid manure) by-products. It is an assessment and advisory tool for the management of by-products in order to optimize resource use and promote agroecological intensification of agropastoral farms.","""Vall Eric""","CIRAD (UMR Selmet), CIRDES-Burkina Faso, INERA-Burkina Faso, IRAD-Cameroun, Cifor-ICRAF (CGIAR)",https://system-s.org/files/CoProdscope_imagebf_image_Test_du_Coprodscope_par_des_zootechniciens_de_la_Sodcoton_au_Nord_Cameroun_2025_Alain_Loab_20260202100545_20260202100545.jpg,"Article,Video,""Website Resource""","Analyse,Assess","""Assessment framework""",Agriculture,,"Bachelor,Master",,"The first teaching experiment is underway in Northern Cameroon; news about this experiment will be available soon.",https://system-s.org/files/CoProdscope_fichierfichier_Zoungrana_et_al._2023_20260202100545_20260202100545.pdf_,,,https://coprodscope.cirad.fr/,https://youtu.be/DYRj52-cp44,,,"Title + Description","""Creative Commons CC BY""","The resource is accessible on playstore",,
"01/10/2026 15:05:54","01/10/2026 15:12:27","Crop development & yield components","This tool was used as a practical exercise as part of the two-week intensive course Farming Systems and Rural Livelihoods Analysis, a specialized course in systems science organized in Malawi by CGIAR in collaboration with Wageningen University. Designed for PhD students, the course combined theoretical sessions with practical exercises focused on the analysis of farming systems and rural livelihoods. As part of the practical work, participants were divided into four groups, each bringing together participants from different nationalities and disciplinary backgrounds. Each group worked in a different location, representing contrasting farming systems shaped by differences in agroecological conditions, institutional contexts, and market environments. An overview of the course and the different modules taught is available in the “Capacity Development” section.","""Descheemaeker Katrien""","Maela Roudaut",https://system-s.org/files/CropDevelopmentAmpYieldComponents_imagebf_image_crop_yield_20261001150554_20261001150554.jpg,"""Course material""",Analyse,"""System experiment""","Agriculture,Food,Land,Water",,"Master,PhD",half-day,"This type of analyse was used as a practical exercise as part of the two-week intensive course Farming Systems and Rural Livelihoods Analysis, a specialized course in systems science organized in Malawi by CGIAR in collaboration with Wageningen University. Designed for PhD students, the course combined theoretical sessions with practical exercises focused on the analysis of farming systems and rural livelihoods. As part of the practical work, participants were divided into four groups, each bringing together participants from different nationalities and disciplinary backgrounds. Each group worked in a different location, representing contrasting farming systems shaped by differences in agroecological conditions, institutional contexts, and market environments. An overview of the course and the different modules taught is available in the “Capacity Development” section.",https://system-s.org/files/https://cloud.system-s.org/s/4AAZNZeJtrNAJjp,https://system-s.org/files/https://cloud.system-s.org/s/KSBx3GtxzFx2KG3,,,,,,"Title + Description","""Creative Commons CC BY-NC""",,,
"24/04/2025 14:37:55","09/04/2026 18:30:36","Define an Issue as a System","This protocol is a guide to conceptualize a challenge or an issue into a system with its boundary, components, relations and environment.","""WERY Jacques""","Jacques Wery",https://system-s.org/files/DefineAnIssueAsASystem_imagebf_image_Grandes_Cultures_France_20250507143025_20250507143025.jpg,"Handbook,Video",Define,"""Conceptual model""",Agriculture,,"Bachelor,Master,PhD,""Long life learner""",,,https://system-s.org/files/DefineAnIssueAsASystem_fichierfichier_Protocol_SystemsAnalaysis_Wery_2023_20250508093412_20250508093412.pdf_,,,https://youtube.com/playlist?list=PLhqqzScnkli3lv7ipP3slTopLaC5ky87y,,,,"Title + Description","""Creative Commons CC BY""",,,
"01/10/2026 14:34:29","01/10/2026 14:36:11","Farm characterization : Mapping surveys & Systems_Diagrams","Farm characterization involves a mixed-methods approach to analysing farming systems, combining participatory farm and field mapping, digital farm-household surveys, and systems diagramming. Together, these methods help capture the spatial, socio-economic and systemic dimensions of farming systems and their interdependencies.","""Descheemaeker Katrien""","Maela Roudaut",https://system-s.org/files/FarmCharacterizationMappingSurveysAmpS_imagebf_image_survey_20261001143429_20261001143429.jpg,"""Course material""",Define,"Survey,""System diagram""","Agriculture,Food,Land,Water",,"Master,PhD","2 days","This tool was used as a practical exercise as part of the two-week intensive course Farming Systems and Rural Livelihoods Analysis, a specialized course in systems science organized in Malawi by CGIAR in collaboration with Wageningen University. Designed for PhD students, the course combined theoretical sessions with practical exercises focused on the analysis of farming systems and rural livelihoods. As part of the practical work, participants were divided into four groups, each bringing together participants from different nationalities and disciplinary backgrounds. Each group worked in a different location, representing contrasting farming systems shaped by differences in agroecological conditions, institutional contexts, and market environments. An overview of the course and the different modules taught is available in the “Capacity Development” section.",,https://system-s.org/files/https://cloud.system-s.org/s/gdXgCRrHcWmF2Wq,https://system-s.org/files/https://cloud.system-s.org/s/y5kLtdtdEkQ5kE8,,,,,"Title + Description","""Creative Commons CC BY-NC""",,,
"23/01/2026 11:56:00","23/01/2026 12:13:01",FarmDESIGN,"FarmDESIGN is a static and exploratory whole-farm model that quantifies farm productive, economic and environmental performance on annual basis.","""Maela  Roudaut""",?,,"""Website Resource""","Analyse,Design","""Functional models""",Agriculture,,"Master,PhD",,,,,,,,,,,CC,,,
"28/01/2026 15:55:35","28/01/2026 15:55:35",FARMSIM,"The FARMSIM model is one of the most comprehensive integrated farm models and is used to predict the probable impacts of different farming interventions on nutritional and financial well-being at the household level.","""Maela  Roudaut""",?,,"""Website Resource""",Assess,"""Integrated Modeling"",Scenarios",Agriculture,,Master,,,,,,https://blackland.tamu.edu/models/farmsim/,,,,,CC,,,
"01/10/2026 14:44:20","01/10/2026 14:46:10","Focus group discussions & Interviews","Focus Group Discussions (FGDs) and semi-structured interviews enable researchers to understand farmers’ perspectives and knowledge, decision-making processes, and lived experiences. 
FGDs allow collective reflection among participants and reveal shared norms, divergent views, and community dynamics. 
Interviews, by contrast, provide deeper insights into individual experiences, sensitive topics, or issues influenced by power relations within communities. ","""Descheemaeker Katrien""","Maela Roudaut",https://system-s.org/files/FocusGroupDiscussionsAmpInterviews_imagebf_image_Focus_group_20261001144610_20261001144610.jpg,"""Course material""","Analyse,Participative",Survey,"Agriculture,Food,Land,Water,Others",,"Master,PhD","1 day","This tool was used as a practical exercise as part of the two-week intensive course Farming Systems and Rural Livelihoods Analysis, a specialized course in systems science organized in Malawi by CGIAR in collaboration with Wageningen University. Designed for PhD students, the course combined theoretical sessions with practical exercises focused on the analysis of farming systems and rural livelihoods. As part of the practical work, participants were divided into four groups, each bringing together participants from different nationalities and disciplinary backgrounds. Each group worked in a different location, representing contrasting farming systems shaped by differences in agroecological conditions, institutional contexts, and market environments. An overview of the course and the different modules taught is available in the “Capacity Development” section.",https://system-s.org/files/https://cloud.system-s.org/s/omT2TLfg7Hy45XA,https://system-s.org/files/https://cloud.system-s.org/s/TgJcaGDJCpsCowq,https://system-s.org/files/https://cloud.system-s.org/s/GsRxm4qrZ588Zqt,,,,,"Title + Description","""Creative Commons CC BY-NC""",,,
"01/10/2026 16:04:18","01/10/2026 16:04:18","Formulating research questions","Developing high-quality research questions is central to rigorous study design. In mixed methods research—where qualitative and quantitative approaches are integrated—the research question must guide theoretical framing, data collection, and analytic strategy simultaneously. Poorly formulated questions lead to fragmented methods and weak conclusions.","""Descheemaeker Katrien""","Maela Roudaut",,"""Course material""",Analyse,"""System experiment""","Agriculture,Food,Land,Water",,"Master,PhD",,"This method was introduced as part of the two-week intensive course Farming Systems and Rural Livelihoods Analysis, a specialized course in systems science organized in Malawi by CGIAR in collaboration with Wageningen University. Designed for PhD students, the course combined theoretical and methodological sessions focused on the analysis of farming systems and rural livelihoods. The tool was presented within this theoretical framework as a method for understanding and analysing farming systems and rural livelihoods. The course brought together participants from different nationalities and disciplinary backgrounds, who were divided into four groups working in different locations representing contrasting farming systems shaped by differences in agroecological conditions, institutional contexts, and market environments. An overview of the course and the different modules taught is available in the “Capacity Development” section.",https://system-s.org/files/https://cloud.system-s.org/s/qxMZJnnX9yJDNmX,,,,,,,"Title + Description","""Creative Commons CC BY-NC""",,,
"01/10/2026 16:16:16","01/10/2026 16:19:06","Fuzzy Cognitive Mapping for Rural Livelihoods Analysis","Fuzzy Cognitive Maps (FCMs) are participatory modelling tools used to represent how stakeholders perceive complex systems and the causal relationships between their components. FCMs combine elements of systems thinking, participatory research, and semi-quantitative modelling.
In farming systems research, FCMs help capture farmers’ knowledge about interconnected ecological, economic, and social processes, making them particularly valuable in mixed methods studies of agricultural systems.","""Descheemaeker Katrien""","Maela Roudaut",,"""Course material""",Define,"""Fuzzy congnitive map""","Agriculture,Food,Land",,"Master,PhD",half-day,"This tool was introduced as part of the two-week intensive course Farming Systems and Rural Livelihoods Analysis, a specialized course in systems science organized in Malawi by CGIAR and Wageningen University. Designed for PhD students, the course combined theoretical and methodological sessions focused on the analysis of farming systems and rural livelihoods. The tool was presented within this theoretical framework as a method for understanding and analysing farming systems and rural livelihoods. The course brought together participants from different nationalities and disciplinary backgrounds, who were divided into four groups working in different locations representing contrasting farming systems shaped by differences in agroecological conditions, institutional contexts, and market environments. An overview of the course and the different modules taught is available in the “Capacity Development” section.",https://system-s.org/files/https://cloud.system-s.org/s/Rbe3Cc7z3N4P5Ki,https://system-s.org/files/https://cloud.system-s.org/s/P5ZyxMmLWGLTfkW,,,,,,"Title + Description","""Creative Commons CC BY-NC""",,,
"05/06/2025 15:11:51","09/04/2026 18:30:05","Fuzzy Cognitive Maps for Sustainable Irrigation","This work applies system science principles through the use of stakeholder-based Fuzzy Cognitive Mapping (FCM). It allows for a holistic understanding of how social, economic, and environmental variables interact, enabling the exploration of dynamic feedbacks and potential unintended consequences. In this context, FCM served as a valuable tool to simulate alternative policy and behavioural scenarios, identify leverage points, and support more informed decision-making for sustainable water reuse in agriculture.","""Ballesteros-Olza Mario""","Mario Ballesteros-Olza1, Irene Blanco-Gutiérrez, Paloma Esteve1, Almudena Gómez-Ramos, and Antonio Bolinches",https://system-s.org/files/UsingFuzzyCognitiveMapsForSustainableIrri_imagebf_image_FCM_20250605151151_20250605151151.jpg,"Article,""Website Resource""","Analyse,Assess","""Fuzzy congnitive map""","Agriculture,Water",,Bachelor,"Two class sessions","The paper has been used to teach ‘Agrarian Bioeconomy’, a second-year subject of the bachelor’s degree in Agricultural Sciences and Bioeconomy at the Universidad Politécnica de Madrid. Specifically, it was included in Topic 2: Analysis of Bioeconomic Systems, where was introduced the concept of systems and the analysis of systemic relationships. The Fuzzy Cognitive Maps (FCMs) application presented in the article was used as a practical example. Students were asked to read and critically comment on the paper.",https://system-s.org/files/UsingFuzzyCognitiveMapsForSustainableIrri_fichierfichier_2022Ballesteros_et_al.ERL_20250605151151_20250605151151.pdf_,,,https://iopscience.iop.org/article/10.1088/1748-9326/aca3bb,https://www.fcmappers.net/joomla/index.php?option=com_content&view=article&id=52&Itemid=53,https://www.sciencedirect.com/science/article/pii/S0308521X26000508?via%3Dihub,"""Lagneaux Elisabeth""","Farming systems in the Peruvian amazon: A fuzzy cognitive mapping study on the impact of interventions. Using Fuzzy Cognitive Maps built from interviews with farmers and institutional representatives in Madre de Dios (Peru), this study captures how smallholders perceive the relationships between different elements of their farming system and external interventions. This method makes it possible to visualize and compare farmers’ mental models depending on the type of support they receive. The results show that governmental institutions mainly provide technical and material support, while NGOs also offer knowledge and market-based support, and that these interventions are generally perceived positively and encourage a shift toward perennial crops.","""Creative Commons CC BY-SA""","Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.",,
"23/01/2026 12:00:07","23/01/2026 12:15:19","GLEAM (Global Livestock Environmental Assessment Model)","It is a GIS framework that simulates the bio-physical processes and activities along livestock supply chains under a life cycle assessment approach. The aim of GLEAM is to quantify production and use of natural resources in the livestock sector and to identify environmental impacts of livestock in order to contribute to the assessment of adaptation and mitigation scenarios to move towards a more sustainable livestock sector.","""Maela  Roudaut""",?,,"""Website Resource"",Manual","Analyse,Assess","""Assessment framework"",""Functional models"",Scenarios",Agriculture,,"Master,PhD",,,https://system-s.org/files/GleamGlobalLivestockEnvironmentalAssessmen_fichierfichier_cd1860en_20260123120007_20260123120007.pdf_,,,https://www.fao.org/gleam/en/,,,,,CC,,,
"23/01/2026 11:53:38","23/01/2026 12:19:07","GYGA (Global Yield Gap Atlas)","The Global Yield Gap Atlas (GYGA) is an agronomic database platform with local and global relevance to support your decision on yield optimisation. The database offers high-quality and locally relevant data on yield gap and potential, water productivity, nutrient requirement, and other agronomic data such as weather, soil, and crop management system. GYGA now has coverage of up to 13 food crops across 70 countries and six continents with the possibility of expansion.","""Maela  Roudaut""",?,https://system-s.org/files/GygaGlobalYieldGapAtlas_imagebf_image_GygaCountriesWithDataHome_20260123115338_20260123115338.png,Database,Analyse,"""Data mining"",""Functional models""",Agriculture,,"Bachelor,Master,PhD,""Long life learner""",,,,,,https://www.yieldgap.org/web/guest/home,,,,,CC,,,
"20/01/2026 11:43:05","06/08/2026 12:56:18","Integrated Modeling of ""farm centered"" Agricultural Systems","This document presents integrated modeling methods for assessing the response of  agricultural systems to scenarios combining innovation and policy. The approach considers the farm system as a key level with its interactions with dow-level (the fields) and up -levels (the landcape and markets). Farm diversity in the landscape is modelled with typologies. Farm and field behaviours and performances are simulated respectivelly with farm models and crop models and a set  of indicators.  The document also stress the importance of participatory modeling, involving local stakeholders in the design of scenarios and  selection of assessment indicators. Finally, concrete case studies illustrate how these methodological frameworks help predict the adoption of new practices and the impact of policies while measuring socio-economic and environmental trade-offs.","""WERY Jacques""",jacques.wery@institut-agro.fr,https://system-s.org/files/AnalyseEtModelisationIntegreeFarmCente_imagebf_image_DSCN1026_20260121151200_20260121151200.JPG,"Video,""Course material""","Analyse,Assess","""Functional models"",Indicators,Scenarios,Typologies","Agriculture,Land",,Master,"Three hours lecture","This course was given during 10 years (2008 to 2018) to Master Students at l'institut Agro Montpellier. I will be happy to collaborate with colleagues who want to develop similar course (in english or french).",https://system-s.org/files/AnalyseEtModelisationIntegreeFarmCente_fichierfichier_Cours_PVD_ModlisationIntgr_Wery_2018_20260120114305_20260120114305.pdf_,,,https://videos.system-s.org/w/6sRiMwWxPjVeNdKn95ivMv,,,,"Title + Description","""Creative Commons CC BY""",,,
"28/01/2026 16:52:24","28/01/2026 16:52:47","Ladder of Life","The Ladder of Life is a focus group tool conducted with poor women and men. It is meant to explore their understandings and interpretations of the different wellbeing groups and the poverty trend in their community, and the key factors and processes seen to shape these dynamics","""Maela  Roudaut""","Petesch, P.",,"""Website Resource"",Manual",Assess,Survey,Agriculture,,Master,,,https://system-s.org/files/LadderOfLife_fichierfichier_Ladder_of_Life_Gennovate_Tool_20260128165224_20260128165224.pdf_,,,https://cgspace.cgiar.org/server/api/core/bitstreams/9b7d7e62-b8ed-43cf-bb2d-0679e3a8c491/content,,,,,CC,,,
"01/10/2026 15:34:00","01/10/2026 15:34:00","Livelihoods, labour & Economics","Smallholder households often combine crop and livestock production with wage labor, petty trade, migration, and remittances in diversified livelihood portfolios. This diversification is both a risk management strategy and a response to structural constraints such as imperfect markets, climatic variability, and limited access to capital and services.
Understanding smallholder livelihoods therefore requires moving beyond plot-level agronomy or single-enterprise profitability. It demands a farm household perspective that integrates production, consumption, labor allocation, and income generation under multiple constraints.
","""Descheemaeker Katrien""","Maela Roudaut",,"""Course material""",Analyse,"""System experiment""","Agriculture,Food,Land,Water",,"Master,PhD",half-day,"This type of analysis was used as a practical exercise as part of the two-week intensive course Farming Systems and Rural Livelihoods Analysis, a specialized course in systems science organized in Malawi by CGIAR in collaboration with Wageningen University. Designed for PhD students, the course combined theoretical sessions with practical exercises focused on the analysis of farming systems and rural livelihoods. As part of the practical work, participants were divided into four groups, each bringing together participants from different nationalities and disciplinary backgrounds. Each group worked in a different location, representing contrasting farming systems shaped by differences in agroecological conditions, institutional contexts, and market environments. An overview of the course and the different modules taught is available in the “Capacity Development” section.",https://system-s.org/files/https://cloud.system-s.org/s/LxjrQX4tKdqPFpL,https://system-s.org/files/https://cloud.system-s.org/s/sxT3cxqNMHCbRjC,,,,,,"Title + Description","""Creative Commons CC BY-NC""",,,
"01/10/2026 15:17:15","01/10/2026 15:18:04","Livestock systems analysis","Livestock systems analysis 
incorporates multifunctionality, herd dynamics, feeding, nutrient cycling, and household decision-making. Field-based observations, combined with systematic analysis of herd or flock structure and management practices, enable diagnosis of constraints and identification of opportunities for more sustainable farming systems.","""Descheemaeker Katrien""","Maela Roudaut",,"""Course material""",Analyse,"""System diagram""","Agriculture,Food,Land,Water",,"Master,PhD",half-day,"This type of analysis was used as a practical exercise as part of the two-week intensive course Farming Systems and Rural Livelihoods Analysis, a specialized course in systems science organized in Malawi by CGIAR and Wageningen University. Designed for PhD students, the course combined theoretical sessions with practical exercises focused on the analysis of farming systems and rural livelihoods. As part of the practical work, participants were divided into four groups, each bringing together participants from different nationalities and disciplinary backgrounds. Each group worked in a different location, representing contrasting farming systems shaped by differences in agroecological conditions, institutional contexts, and market environments. An overview of the course and the different modules taught is available in the “Capacity Development” section.",https://system-s.org/files/https://cloud.system-s.org/s/kSPk3gqgcjyCykR,https://system-s.org/files/https://cloud.system-s.org/s/w32o9Y6MtSA9LxH,,,,,,"Title + Description","""Creative Commons CC BY-NC""",,,
"02/03/2026 16:12:45","12/03/2026 14:36:43","MAELAB - Modeling in the service of agroecosystems and territorialized bioeconomy systems","Training objectives:
 - Describe the challenges and relevance of territorial approaches to guide agroecological and bioeconomic transitions at the territorial scale.
 - Use the core modules of a spatially explicit modeling platform for agricultural territories.
 - Analyze the impacts of transition scenarios using a multi-criteria approach.","""Etienne Audrey""","Audrey Etienne",https://system-s.org/files/MaelabTrainingProgramForStudents_imagebf_image_Image3_20260304134305_20260304134305.png,"""Course material""","Analyse,Assess,Participative","Indicators,""Integrated Modeling"",Scenarios","Agriculture,Land,Water",,Master,"2 to 3 days",,https://system-s.org/files/MaelabTrainingProgramForStudents_fichierfichier_Formation_MAELAB_2025_Etudiants_20260302162520_20260302162520.pdf_,https://system-s.org/files/MaelabTrainingProgramForStudents_fichierbf_file1_Formation_MAELAB_2025_V2_english_20260302171245_20260302171245.pdf_,,https://www.maelab.fr/,http://maelia-platform.inra.fr/,,,"Title + Description","""Creative Commons CC BY-NC-ND""",,,
"19/03/2026 15:10:41","19/03/2026 16:13:04",MAELIA,"**MAELIA** is a socio-agro-ecological modeling platform developed by INRAE since 2011. MAELIA combines agent-based and spatially explicit approaches to simulate interactions between biophysical processes (crops, soils, livestock, hydrology) and farmers’ decision-making at multiple scales: field, farm and region. MAELIA is an open-source integrated assessment and modelling tool implemented in the agent-based modelling platform GAMA. It combines agent-based decision rules with mechanistic but parsimonious process models, in a spatially explicit GIS framework with daily time steps. This design allows dynamic interactions between agricultural operations, weather events and biophysical processes, and the emergence of systemic properties from plot to landscape scale. MAELIA enables the integrated assessment of environmental, economic and social impacts of changes in agricultural activities at the watershed and field scale, running simulations over multiple years under various climate change and policy scenarios. It has been mobilised in over twenty research projects and supports scenario-based prospective approaches at territorial scale, including food system planning, agri-environmental policy evaluation, and bioeconomy strategies. ","""Etienne Audrey""","Audrey Etienne",https://system-s.org/files/MaeliA_imagebf_image_logo_maelia01_20260319161022_20260319161022.png,"Article,""Website Resource""","Analyse,Assess,Participative","Indicators,""Integrated Modeling"",Scenarios","Agriculture,Food,Land,Water",,"Bachelor,Master,PhD,""Long life learner""",,,,,,https://www.maelia-iam.fr/maelia-en-bref,,https://www.sciencedirect.com/science/article/pii/S0308521X21000196,,"""Fostering local crop-livestock integration via legume exchanges using an innovative integrated assessment and modelling approach based on the MAELIA platform""","""CC0 Public Domain""",,,
"26/11/2025 18:49:29","09/04/2026 18:29:30","Memento d'Agronomie Systémique","Ce memento est destiné aux étudiants en Sciences Agronomiques pour leur permettre d’acquérir et d’utiliser les concepts de base nécessaires à la compréhension des enseignements (cours, TD, rapports) d’Agronomie Systémique (AS).
Comme toute discipline scientifique l’AS peut se définir par ses concepts, ses méthodes et outils et les différentes postures avec lesquelles on les met en œuvre sur des objets et à des échelles spécifiques. Le document est organisé autour de ces différentes facettes de la discipline. La démarche systémique utilisée est basée sur l’analyse des relations structure-fonctions-flux dans les systèmes complexes dynamiques décrite dans un autre document d’enseignement (Wery, 2017 ; Démarche de conceptualisation d’un problème en système en Agriculture).

Les concepts et méthodes présentés peuvent s’appliquer à toutes les formes d’agriculture (intensive en intrants de synthèse, intensive en travail, agroécologique, biologique, de conservation, agroforesterie…), dans tous les secteurs de production (grandes cultures, maraichage, arboriculture, viticulture, fourrages…) et dans toutes les régions (tempérée, méditerranéenne, tropicale…).

Les mots entre guillemets sont la traduction anglaise des termes.
","""WERY Jacques""","Jacques Wery, Hélène Marrou, François Affholder, Aurélie Metay1",https://system-s.org/files/MementoDAgronomieSystemique_imagebf_image_haut_Atlas_Maroc_2025_20251126184928_20251126184928.jpg,Handbook,"Define,Analyse,Assess,Design","""Conceptual model""","Agriculture,Land",,"Bachelor,Master,PhD","The handbook was used as a pre-reading or post-reading documents in various courses ranging from a 3h introductory course to agricultural systems for BSc students to a 6 month course on agricultural science for Masters students specializing in agriculture.",,https://system-s.org/files/MementoDAgronomieSystemique_fichierfichier_Mmento_Agronomie_Systmique_WERY_2018_20251126184929_20251126184929.pdf_,,,,,,,"Title + Description","""Creative Commons CC BY""",,,
"21/05/2025 18:50:03","21/01/2026 16:34:55","Modelling the potential impact of climate  change on the productivity of soybean in the  Nigeria Savannas","A well-calibrated and evaluated GROPGRO module of the Decision Support System for Agro-technological Transfer (DSSAT) was used to simulate productivity of soybean in northern Nigeria under climate change. Both historical (1990–2019) and projected climate scenarios from 5 general circulation models (GCMs) under two representative 
concentration pathways (RCP 4.5 and RCP 8.5) in the mid-century (2040–2069) and end of the century (2070–2099) periods were used. Depending on climate scenario, the minimum temperature is expected to rise by 1.7–4.4oC at Kano in the Sudan savanna (SS) agroecological zone (AEZ) and 1.4–4.0oC at Zaria in the northern Guinea savanna 
(NGS) AEZ, while maximum temperatures are projected to increase by 1.7–4.1oC in the SS and 1.3–3.6oC in the NGS. Seasonal average rainfall will increase by 4.8–14.5% in the SS and decrease by 2.6–3.8% in the NGS, relative to the baseline climate. The model predicted delaying trends for days to flowering and maturity for both varieties 
in all climate scenarios in the two AEZs.","""Bebeley Jenneh   Fatima"""," Bebeley JF, Tofa AI, Kamara AY, Jibrin  JM, Solomon R, Adeleke MA,",,Article,"Define,Analyse,Assess,Design","""Assessment framework""",Agriculture,,Master,,,https://system-s.org/files/ModellingThePotentialImpactOfClimateChan_fichierfichier_potential_impact_of_climate_chage_on_soybean_20250521185003_20250521185003.pdf_,,,,,,,,non_free_licence,,,
"01/10/2026 16:18:27","01/10/2026 16:18:27","Multi-criteria assessment","Multi-criteria assessment (MCA) is a structured approach to evaluate complex systems according to multiple objectives.
MCA is closely linked to sustainability assessment, which requires evaluating trade-offs between multiple goals rather than optimizing a single indicator. Smallholder systems often involve competing priorities (e.g., yield vs. biodiversity conservation, income vs. risk). MCA allows these dimensions to be evaluated in a transparent and systematic manner, making it a valuable tool for comparing systems, technologies, or management practices.","""Descheemaeker Katrien""","Maela Roudaut",,"""Course material""",Assess,"""Assessment framework""","Agriculture,Food,Land,Water",,"Master,PhD",half-day,"This tool was introduced as part of the two-week intensive course Farming Systems and Rural Livelihoods Analysis, a specialized course in systems science organized in Malawi by CGIAR and Wageningen University. Designed for PhD students, the course combined theoretical and methodological sessions focused on the analysis of farming systems and rural livelihoods. The tool was presented within this theoretical framework as a method for understanding and analysing farming systems and rural livelihoods. The course brought together participants from different nationalities and disciplinary backgrounds, who were divided into four groups working in different locations representing contrasting farming systems shaped by differences in agroecological conditions, institutional contexts, and market environments. An overview of the course and the different modules taught is available in the “Capacity Development” section.",https://system-s.org/files/https://cloud.system-s.org/s/d3xZBXbdwXBKpyM,https://system-s.org/files/https://cloud.system-s.org/s/4boAekZNYYxJekA,,,,,,"Title + Description","""Creative Commons CC BY-NC""",,,
"01/10/2026 15:52:58","01/10/2026 15:52:58","On-farm trials & Experimental Design","Moving research from on-station to on-farm settings changes both its purpose and its representativeness. On-farm trials require deliberate choices about location, participating farmers, and treatments, and researchers must explicitly define the external validity of their findings — that is, the scope of environments and farm types to which results can reasonably be generalised. On-farm trials are also frequently used as an extension method, often incorporating a ""farmer practice"" treatment as the control against which new practices are compared.","""Descheemaeker Katrien""","Maela Roudaut",,"""Course material""",Analyse,"""System experiment""","Agriculture,Food,Land,Water",,"Master,PhD",,"This tool was introduced as part of the two-week intensive course Farming Systems and Rural Livelihoods Analysis, a specialized course in systems science organized in Malawi by CGIAR in collaboration with Wageningen University. Designed for PhD students, the course combined theoretical and methodological sessions focused on the analysis of farming systems and rural livelihoods. The tool was presented within this theoretical framework as a method for understanding and analysing farming systems and rural livelihoods. The course brought together participants from different nationalities and disciplinary backgrounds, who were divided into four groups working in different locations representing contrasting farming systems shaped by differences in agroecological conditions, institutional contexts, and market environments. An overview of the course and the different modules taught is available in the “Capacity Development” section.",https://system-s.org/files/https://cloud.system-s.org/s/xG8ip8YoyZLDenT,https://system-s.org/files/https://cloud.system-s.org/s/LcLWtYeY7osDFT9,,,,,,"Title + Description","""Creative Commons CC BY-NC""",,,
"01/10/2026 16:12:07","01/10/2026 16:12:07","Problem trees","Problem trees are a structured analytical tool used to unpack complex development problems by mapping hierarchical cause–effect relationships. It is widely used in participatory research, systems analysis, and development programs because it helps move from a broad issue to a structured understanding of causal layers.","""Descheemaeker Katrien""","Maela Roudaut",https://system-s.org/files/ProblemTrees_imagebf_image_problem_trees_20261001161207_20261001161207.jpg,"""Course material""",Analyse,Typologies,"Agriculture,Food,Land,Water",,"Master,PhD",,"This tool was introduced as part of the two-week intensive course Farming Systems and Rural Livelihoods Analysis, a specialized course in systems science organized in Malawi by CGIAR in collaboration with Wageningen University. Designed for PhD students, the course combined theoretical and methodological sessions focused on the analysis of farming systems and rural livelihoods. The tool was presented within this theoretical framework as a method for understanding and analysing farming systems and rural livelihoods. The course brought together participants from different nationalities and disciplinary backgrounds, who were divided into four groups working in different locations representing contrasting farming systems shaped by differences in agroecological conditions, institutional contexts, and market environments. An overview of the course and the different modules taught is available in the “Capacity Development” section.",https://system-s.org/files/https://cloud.system-s.org/s/rKBkrzpjXooNpki,https://system-s.org/files/https://cloud.system-s.org/s/FPW7bLmC2ZYtB63,,,,,,"Title + Description","""Creative Commons CC BY-NC""",,,
"01/12/2025 21:19:09","09/04/2026 18:28:55","Researchers’ Manual for Quantitative Farming Systems Typologies Applications using the R Statistical Tool","Manual to develop farm household typologies using R based on Principal Component Analysis (PCA) and Hierarchical Clustering (HC)","""Lopez Ridaura Santiago""","Luis Barba Escoto A.K. Prusty Santiago Lopez Ridaura N. Ravisankar M. L. Jat J. P. Tetarwal A. S. Panwar",https://system-s.org/files/ResearchersManualForQuantitativeFarmingSy_imagebf_image_photo_pour_ressource_sattistical_tool_20260120094532_20260120094532.png,Handbook,Analyse,"""Data mining""",Agriculture,,"""Long life learner""",,,https://system-s.org/files/ResearchersManualForQuantitativeFarmingSy_fichierfichier_Barba_et_al_2019_Typologies_manual_20251201211909_20251201211909.pdf_,https://system-s.org/files/ResearchersManualForQuantitativeFarmingSy_fichierbf_file1_R_codes_OFR_20251202113347_20251202113347.rtf_,https://system-s.org/files/ResearchersManualForQuantitativeFarmingSy_fichierbf_file_codebook_20251202113347_20251202113347.csv_,,,,,"Title + Description","""Creative Commons CC BY""",,,
"22/01/2026 16:41:27","23/01/2026 10:59:17","Rhomis (Rural household multi-indicator survey)","RHoMIS was designed to improve the process of gathering information from farming households in the rural developing world. Household surveys are very widely carried out, but the data is rarely comparable, and so the opportunities for learning between individual projects are limited. For these reasons, the tool balances standardisation with flexibility.","""Maela  Roudaut""",?,,"""Website Resource""","Analyse,Assess",Survey,"Agriculture,Land",,"Bachelor,Master,PhD,""Long life learner""",,,,,,https://www.rhomis.org/,,,,,CC,,,
"28/01/2026 17:01:53","28/01/2026 17:01:53","Scaling scan","The Scaling Scan is a user-friendly tool to explore what is required to scale an innovation in a specific context, the implications this has for project management and collaborations the potential trade-offs on the environment as well as the social dynamics. ","""Maela  Roudaut""",?,,"""Website Resource""",Assess,"""Assessment framework""",,,Master,,,,,,https://scalingscan.org/,,,,,CC,,,
"30/11/2025 07:05:41","09/04/2026 17:16:17","Supporting the Codesign of Agronomic Innovations with Data","This book originates from the observation that codesign processes in Living Labs often favour local knowledge over academic knowledge and are rarely informed by systematically collected data. While local knowledge is invaluable, relying exclusively on it can inadvertently limit the creativity and problem-solving potential of the codesign process. In practice, this can lead to innovations that replicate existing practices rather than exploring novel solutions to key bottlenecks in the systems under study.
The book presents a set of reproducible, data-driven workflows designed to enhance the codesign process within Living Labs. These workflows integrate KoBoToolbox, an open-access digital platform for participatory data collection, with R, a powerful open-source environment for statistical computing and visualization. Using Mbire District, Zimbabwe, as a case study, the book provides clear, step-by-step guidance for researchers and practitioners on how data can be used to enrich codesign processes. It was compiled using the bookdown package, enabling the seamless integration of R code, analytical results, and narrative into a single, fully reproducible document.
The book includes a collection of XLSForms (inputs to KoBoToolbox) and well-documented R scripts developed for the specific context of Mbire District during the implementation of the CGIAR initiative ‘Transformational Agroecology across Food, Land, and Water Systems’. You can download the PDF version of the book, or use the web version.","""Baudron Frédéric""","Frédéric Baudron",https://system-s.org/files/SupportingTheCodesignOfAgronomicInnovation_imagebf_image_cover_20251130073502_20251130073502.jpg,Handbook,Design,"""Functional models""","Agriculture,Land",,Master,"2 days",,,,,https://agritrop.cirad.fr/615910/,https://fbaudron.github.io/book_supporting_codesign/,,,"Title + Description","""Creative Commons CC BY""",,,
"26/02/2026 12:15:56","26/02/2026 12:15:56",test,"test new resource","""Maela  Roudaut""",maela,,Article,Define,Scenarios,Agriculture,,Bachelor,"2 days",...,,,,,,,,"Farming system. : ......","""Creative Commons CC BY""",,,
"01/10/2026 10:35:22","01/10/2026 14:47:47","Transect walks","Transect walks are a core method in participatory rural appraisal (PRA) and farming systems research. They involve a systematic walk along a predefined path across a landscape to observe and discuss spatial gradients in biophysical and socio-economic conditions. The method was popularized in participatory development practice (Chambers, 1994) and is widely applied in farming systems analysis to integrate local knowledge with scientific observation.","""Descheemaeker Katrien""","Maela Roudaut",https://system-s.org/files/TransectWalks_imagebf_image_Transect_poster_20261001122016_20261001122016.jpg,"""Course material""","Define,Participative","""Heuristic map""","Agriculture,Food,Land,Water",,"Master,PhD","1 day","This tool was used as a practical exercise as part of the two-week intensive course Farming Systems and Rural Livelihoods Analysis, a specialized course in systems science organized in Malawi by CGIAR in collaboration with Wageningen University. Designed for PhD students, the course combined theoretical sessions with practical exercises focused on the analysis of farming systems and rural livelihoods. As part of the practical work, participants were divided into four groups, each bringing together participants from different nationalities and disciplinary backgrounds. Each group worked in a different location, representing contrasting farming systems shaped by differences in agroecological conditions, institutional contexts, and market environments. An overview of the course and the different modules taught is available in the “Capacity Development” section.",https://system-s.org/files/https://cloud.system-s.org/s/mwDnmRk3dcdP4DS,,https://system-s.org/files/https://cloud.system-s.org/s/3NpAkcYk5zXMFgG,,,,,"Title + Description","""Creative Commons CC BY-NC""",,,
"22/04/2025 09:50:43","09/04/2026 17:10:00","What is a System?","A system in 10 key words","""WERY Jacques""","Jacques Wery",https://system-s.org/files/WhatIsASystem_imagebf_image_Bl_et_palmier_dattier_Egypte_20250507143202_20250507143202.jpg,"""Website Resource""",Define,"""Conceptual model""",Agriculture,,Master,,,,,,https://www.youtube.com/watch?v=b3vHLUTzpc0&list=PLhqqzScnkli3lv7ipP3slTopLaC5ky87y&index=1,https://www.youtube.com/watch?v=zWhRnMYIMog&list=PLhqqzScnkli3lv7ipP3slTopLaC5ky87y&index=2,,,"Title + Description","""Creative Commons CC BY-SA""",,,