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Implementation of spatial group model building sessions

  1. Implementation of spatial group model building sessions Training course on Systems Thinking and Spatial Group Model Building Materials prepared and prepared by Karl M. Rich (with contributions from Jared Berends, Greg Cooper, Chisoni Mumba, Magda Rich, Helene Lie, Kanar Dizyee, and Sirak Bahta) Foresight Modeling & Policy Team, Policies, Institutions, and Livelihoods International Livestock Research Institute (ILRI) Version May 2020 (draft) Better lives through livestock O K A PiS
  2. 2 Outline Planning Scripts and SGMB process Participatory GIS (Layerstack) Problem elicitation, causes, & consequences Module and model building Note: Traditional vs. online facilitation to be discussed throughout
  3. 3 Planning Key elements: • Who to invite • Reference groups • Agendas • Workshop roles (offline and online) • Room organization (offline and online) • Workbooks • Materials
  4. 4 Who to invite A mix of stakeholders, based on roles in the value chain, gender balance, power dynamics, and knowledge of the system Commitment to process and participation in all sessions (typically four or five); internet connectivity for online participants 10-15 people: an ideal size for Layerstack Caution needed for overly influential stakeholders (especially government): can limit participation of others Role of convening partners (NGOs) to facilitate identification Picture credit: K.M. Rich 2019 (Palaw, Myanmar)
  5. 5 Reference groups Parallel process of GMB sessions Comprised of technical/research experts that follow the process, are informed of session outcomes, and provide an impartial lens to the GMB process Smaller size than GMB group (6-8 people); can be consulted in-person (one-on-one or in groups) or virtually They can be involved in adding/fine-tuning model structure and helping with triangulation and validation of initial results. Also a good place to “park” overly dominating stakeholders in GMB sessions! Picture credit: K.M. Rich 2019 (Myeik, Myanmar)
  6. 6 Agendas A crucial but under-appreciated part of GMB sessions. Sessions are meticulously prepared so that specific, time-bound tasks are achieved. Traditional offline sessions are typically three to four hours. It is better to schedule fewer tasks than too many within a given session For online sessions – max. two hours/session. Better to have more, smaller sessions Agendas include detailed, annotated plans for the facilitation team and public agendas for stakeholders There should also be a general plan of action for the suite of GMB sessions Picture credit: K.M. Rich 2019 (Myeik, Myanmar)
  7. 7 Source: (left) Lie et al 2017; (right) Berends 2019, SGMB session in Myeik, Myanmar Length (min) Public Agenda Team Agenda PRE-WORKSHOP Arrival and registration - Prepare room: walls free from distraction, water and snacks on desks, books and pens on desks, desks in C shape, and Layerstack ready - Register participants and handout name tags WORKSHOP 10 1. Formal welcome and overview of the day - General welcome, recap on previous workshop and share agenda for this workshop 15 2. Present basic SD model - Introduce simple production and system pricing and marketing modules in Stella Architect - Demonstrate how SD models can produce graphs which resemble reference node behaviour and how these are altered with changes to model variables - Explain the next step to building a functional SD model of the VC is to develop CLDs of the modules using SD structure 95 3. Development of CLD for modules - Divide participants into small groups in order to develop CLDs for remaining modules on large paper sheets - CLDs to use SD concepts, such as stocks, flows, and converters using stocks. CLDs to include polarity of relationships and when consensus parameters - Each group presents CLD to plenary - Presenter facilitates discussion and updates CLDs, using post it notes to record structural changes and markers for changes to causal relationships and polarity LUNCH 60 4. Review CLD for all modules and add data - Facilitator presents each CLD to plenary and highlights key structure and relationships - Discussions in plenary to agree on key variables, including basic behaviour and parameters for graphical functions 10 8. Wrap-up - Summarise workshop and thank participants - Remind participants of the next workshop Planned length: 10.00 to 13.40 (30 mins for lunch) Actual length: 10.10 to 14.20 (Myeik) 10.00 to 14.00 (Palaw)
  8. 8 Workshop roles (offline) GMB sessions are team-oriented, requiring the integrated contributions of a facilitation team. What activities need to be played by the facilitation team? From Lie et al. (2017): • Lead facilitator • Gatekeeper (liaison between team and participants) • Process coach (keeps track of group dynamics) • Board-writer (NOT the lead facilitator!) • Note-taker (NOT the lead facilitator!) • Modeling expert (programming in real-time) • Observers also useful (Hovmand 2014) Some but not all roles can be combined. Picture credit: K.M. Rich 2019 (Jessore, Bangladesh)
  9. 9 Workshop roles (online) For purely online SGMB sessions, the dynamics are a little different The lead facilitator should continue to only facilitate, while other team members should be in charge in the use of online applications as relevant The modeling expert should focus on interpreting discussions and putting them online in real time, while a dedicated board- writer should handle brainstorming/clustering activities. One note-taker should keep detailed transcripts of sessions, while another should monitor online discussions through chat. Prior to the session (as part of the invitation process), all participants should have access to the Microsoft Teams channel and accounts/links on Vecta and InsightMaker. Picture credit: K By Free Clip Art - Own work, CC BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=73531702
  10. 10 A possible hybrid online approach Sources: see reference slide 1 m 1 m
  11. 11 Room planning (offline) Underrated but important Ensure all tools needed for facilitation and discussion are in place • LayerStack, whiteboard, flipcharts, colored paper, meals/water, logistics, power As possible, get people away from their phones!! Some discussion in the literature on the organization of the room itself (Hovmand 2014). Our experience with LayerStack is that it works best in the middle of the room with people around it. Space for group work is useful Picture credit: K.M. Rich 2019 (Myeik, Myanmar) Picture credit: K.M. Rich 2019 (Jessore, Bangladesh)
  12. 12 Materials Offline/traditional SGMB: • Whiteboard (two ideally) + markers • Layerstack kit (includes markers, blue-tak, colored paper, stickers) • Base maps (x3, laminated). A single large map can be printed in A2 (ideally) or two smaller maps at different resolution in A3 can be used (for Layerstack). Extra maps to be printed and hung in the room. • Extra pens, paper, post-its • Flipchart paper • Notepads • Name tags (color coded by VC role) • Projector (for online/blended sessions too) • Water & catering (snacks, coffee, lunch) • Workbooks (if used) Online: • Internet connectivity • Access to programs used (free accounts, links) • Digital picture of base map uploaded to Vecta • Individual snacks & drinks (Pringles, Red Bull) Source: https://commons.wikimedia.org/wiki/File:1738Foods_goods_in_Bulacan_1 7.jpg#/media/File:1738Foods_goods_in_Bulacan_17.jpg, CC0
  13. 13 Room planning (online) • Microsoft Teams: main platform for verbal communication and visualization of web pages in one place • Google Jamboard: a web-based platform for real-time collaboration/brainstorming • Vecta.io: an online editor for collaborative graphics editing (but with a useful layers feature!) • Stella Architect: our workhorse SD modeling software, with ability to host models and interfaces online (Vensim – also available for similar purposes and CLD development). • InsightMaker: a web-based system dynamics software package for initial concept models Make sure links and programs are ready to go!
  14. 14 Workbooks The use of workbooks has been described earlier by Vennix (1996) to facilitate GMB sessions Idea: provide participants with questions, text, and diagrams to fill in between sessions Good for complex models or large numbers of participants – also potential to employ in a distance/blended learning context Source: Adapted from Vennix (1996), figure 4.3 Group session Preiminary model Analysisand summary of discussions Workbooksfor participants Analysisof workbooks
  15. 15 Workbooks Some principles for workbook content: (1) Keep it simple – give targeted, visual tasks for participants (review of CLDs, concept models, key data). One or two pages per session if possible (2) (For online/blended sessions) focus on information that is difficult to obtain in-session (or where they may be a lot of discussion/debate) (3) Give ample time for input and review (4) Consider the use of online forums, email, and chat functions (Teams) for follow-up Source: https://openclipart.org/detail/20511/workbooks-icon
  16. 16 Scripts Scripts are defined as: … a series of ‘fairly sophisticated pieces of small group processes’… conceptualized as a series of divergent or convergent activities to facilitate the cognitive processes of eliciting information, exploring courses of action, and evaluating situations (Luna-Reyes et al. 2006: 294) More simply: scripts are the prepared guidance for planned activities in your agendas Their aim is to help improve the engagement process with stakeholders Picture credit: K.M. Rich 2019 (Patna, India)
  17. 17 Scripts Generic scripts for GMB sessions (Luna-Reyes et al. 2006) 1. Scheduling the day 2. Logistics and room arrangements 3. Hopes and fears 4. Concept model 5. Variable elicitation 6. Reference modes elicitation 7. Structure elicitation 8. Reflector feedback 9. Transferring group ownership from one image to another For SGMB, we adapt these scripts (suggested timing provided) Picture credit: K.M. Rich 2019 (Palaw, Myanmar)
  18. 18 Script 1: Hopes and fears (kicking off the session) “Step zero” is an introduction to the process by facilitators. “Hopes-and-fears”: a type of ice-breaker to gauge/cluster expectations among participants (Luna-Reyes et al. 2006). This involves a short facilitation exercise where participants place one hope and one fear on different colored paper (found in Layerstack), which are then clustered thematically to see what issues are of main concern to the assembled stakeholder group. This also serves as a running checklist to see if sessions are meeting expectations Picture credit: K.M. Rich 2019 (Palaw, Myanmar) Time allocation: 20-30 minutes (including introduction)
  19. 19 Script 1: Hopes and fears (online process) Hopes and fears (as well as problem prioritization) can be facilitated through online platforms like Google’s Jamboard (http://jamboard.google.com) Sticky notes can be used to denote hopes (in one color) and fears (in another) These can be done in real-time or via chat functions in Teams/Zoom. Icon for sticky notes Time allocation: 20-30 minutes (including introduction)
  20. 20 Group exercises (1) Agendas and planning Hopes-and-fears Motivating systems thinking Layerstack Problem identification/prioritization Causes and consequences Facilitation of a concept module Source: "Man on an Exercise Bike Cartoon.svg from Wikimedia Commons by Videoplasty.com, CC-BY-SA 4.0"
  21. 21 Script 2: Introducing the language of systems thinking Picture credits: K.M. Rich 2019 (Palaw, Myanmar) Guidelines: • Development of simple introductory concept model to which participants can relate • Can be technical or non-technical (even creative or fun depending on audience) • Showing simulation and results in real-time: useful for participants to see utility of approach Time allocation: 20-30 minutes
  22. 22 Script 2: Introducing the language of systems thinking Through Microsoft Teams and InsightMaker, we can also first qualitatively show examples (via video) and then build these models in real-time With InsightMaker, these models could be easily shared if any stakeholders wanted to use them. Time allocation: 20-30 minutes
  23. 23 Group exercises (2) Agendas and planning Hopes-and-fears Motivating systems thinking Layerstack Problem identification/prioritization Causes and consequences Facilitation of a concept module Source https://commons.wikimedia.org/wiki/File:Man_Drinking_Water_Carto on.svg; CC-BY-SA 4.0"
  24. 24 Script 3: On to Layerstack In standard GMB, we would next conduct a variable elicitation exercise. From Luna-Reyes et al. (2006:304), the idea is to: identify as many problem-related variables as possible, prioritizing them, and making a key effort to identify key stocks to be used in the modeling For SGMB, we break this down in a series of steps • Use of Layerstack, to define system context • Where problems not defined, to conduct a problem prioritization and causes & consequences exercise • To use these activities to identify priority system modules to build concept models in subsequent sessions Picture credit: K.M. Rich 2019 (Jessore, Bangladesh)
  25. 25 Script 3: Use of Layerstack LayerStack is used to probe participant perceptions about the characteristics and attributes of the area they operate Each layer represents a type of data: for instance, land use, market locations, road network, socio-economic status, etc. Like a GIS, these are overlaid on top on each other over a base map of the region in question Layer definitions are pre-defined as part of the preparation process Stickers and markers are defined (with a legend) to denote key spatial attributes Reference modes to define how system attributes have changed over time Picture credit: K.M. Rich 2019 (Palaw, Myanmar) Time allocation: 90-120 minutes
  26. 26 Source: Adapted from SCUK (2008) Livelihoods zone 1: rainfed zone with poor soils and limited productivity Livelihoods zone 2: tropical hilly area with rich soil and high levels of biodiversity Livelihoods zone 3: valley region with urban centers and suitability for citrus LAYER 1: LIVELIHOODS ZONES (AND ROAD NETWORKS)
  27. 27 Source: Adapted from SCUK (2008) LAYER 2: VALUE CHAIN LOCATIONS AND PROCESSES Livelihoods zone 1: rainfed zone with poor soils and limited productivity Livelihoods zone 2: tropical hilly area with rich soil and high levels of biodiversity Livelihoods zone 3: valley region with urban centers and suitability for citrus Source: Adapted from SCUK (2008)
  28. 28 Livelihoods zone 1: rainfed zone with poor soils and limited productivity Livelihoods zone 2: tropical hilly area with rich soil and high levels of biodiversity Livelihoods zone 3: valley region with urban centers and suitability for citrus Note: seasonal variations in climate, cropping patterns, etc. also matter in terms of both exchange patterns and livelihoods Source: Adapted from SCUK (2008) LAYER 3: SEASONAL CROPPING PATTERNS
  29. Base map Data layer: one per attribute Stickers/markers for specific data points Paper for facilitation (e.g. hopes and fears)
  30. Note: running legend of consumables used Picture credit: K.M. Rich 2016 (Monze, Zambia)
  31. Note definition of reference modes for various variables Picture credit: K.M. Rich 2016 (Monze, Zambia)
  32. 32 Script 3.1: eLayerstack The principles of Layerstack are transferable using Vecta (http://vecta.io). Vecta allows real-time drawing and collaboration on this canvas with groups! Prior to the SGMB session, the facilitation team must set up a shared template with a base map for the region in question. A base map can be simply dragged onto a blank template. Share function: to use for sharing an image and its collaborative use
  33. 33 Drawing palette: different shapes, lines, text boxes, etc View menu: to access different layers, use this menu to open the “Show Properties” feature Properties window: Allows you to add/rename layers (except Default: this should just be your base map)
  34. 34 Add a layer using the + key under layers. Rename the layer by clicking on this icon. The “eye” icon can be clicked on (dark) or off (light). When dark, it means a layer is viewable
  35. 35 Adding attributes to the layer using the drawing palette, including creation of a legend Pro-tip: before adding something to the diagram/layer, click off the image (in the grey area) and then proceed to draw/write.
  36. 36 Addition of a second layer with the first layer turned off (note shading of “eye” icon. Note ability to draw reference modes by creating an X-Y axis and drawing trends freehand
  37. 37 Both layers viewed together to look at overlays between different spatial dimensions An added benefit – the created collaborative map is already digitized and can be downloaded!
  38. 38 Layerstack tips Engage with as many participants as possible. Don’t let one or two people dominate. Triangulate information with others in terms of locations, etc. Temporal trends matter too (“reference modes”): what is the behavior of a given data point over time? Is it going up, down, stable, oscillating? At the end, we’ll have a messy map – that’s OK! But, it will be one that can be digitized and which reveals a lot about the characteristics of the system needed for model building Don’t erase the map once finished!! Picture credit: K.M. Rich 2019 (Myeik, Myanmar) Picture credit: K.M. Rich 2019 (Muzaffapour, India)
  39. 39 Group exercises (3) Agendas and planning Hopes-and-fears Motivating systems thinking Layerstack Problem identification/prioritization Causes and consequences Facilitation of a concept module Source https://commons.wikimedia.org/wiki/File:Man_on_a_Treadmill_Carto on.svg, CC-BY-SA 4.0"
  40. 40 Script 4: Variable and structure elicitation If specifics of the problem are unclear or unknown: First, solicit problem prioritization by stakeholders to inform direction of interventions. Use a similar process as the hopes-and-fears process (round-robin, then voting). Use LayerStack to show where that problem exists and define reference modes. Then, use a causes/consequences process to develop draft causal loop diagrams, or CLDs [variable/module elicitation] to understand what’s behind that problem (and where those problems – and their consequences – emerge). Remember session #1!! Connect causes and consequences to identify feedback mechanisms Then, start the process of module identification and development If the problem is already well-defined, go straight to the next step of module development Picture credit: K.M. Rich 2019 (Palaw, Myanmar) Time allocation Problem prioritization: 45-60 minutes – during SGMB 1 Causes & consequences: 60-90 minutes (can be in groups or plenary), SGMB 1 or 2
  41. Picture credit: K.M. Rich 2016 (Matiguas, Nicaragua)
  42. Picture credit: K.M. Rich 2016 (Matiguas, Nicaragua)
  43. Picture credit: K.M. Rich 2016 (Matiguas, Nicaragua)
  44. Picture credit: K.M. Rich 2016 (Matiguas, Nicaragua)
  45. Source: J. Berends (2019)
  46. Source: J. Berends (2019)
  47. 47 Script 4: Variable and structure elicitation Online problem prioritization and causes/consequences exercises can be easily facilitated via Jamboard. Problems, causes, and consequences can be assigned different colors and the writing feature can be used to connect direct and indirect causes and consequences together. More formal CLDs as in the previous slides can be developed afterwards. Time allocation Problem prioritization: 45-60 minutes Causes & consequences: 60-90 minutes (can be in groups or plenary) Icon for freehand writing (icon below is to erase)
  48. 48 Group exercises (4) Agendas and planning Hopes-and-fears Motivating systems thinking Layerstack Problem identification/prioritization Causes and consequences Facilitation of a concept module Source: https://commons.wikimedia.org/wiki/File:Man_Doing_Sit_U ps_Cartoon.svg, CC-BY-SA 4.0"
  49. 49 Script 4 Variable and structure elicitation If/once the specifics of the problem are well-defined already: First, use LayerStack to help define the most relevant system modules in conjunction with stakeholders. These are the main components of your model (system). Ensure consensus – use voting/round-robin techniques if there is disagreement. Examples of modules: land use, production, marketing, household decision making, adoption decisions, environmental management, finance Next, choose a module and identify a couple of key stocks from stakeholders (go back to LayerStack as needed to guide). From those stocks, ask what flows enter/exit those stocks? And what variables mediate those flows (what causes those flows, what are their consequences?) [structure elicitation] Online module definition can be facilitated via Jamboard, with structure developed either through InsightMaker or STELLA Source: Berends (2019) Time allocation: 90-120 minutes per module (groups or plenary), plus feedback time
  50. 50 Script 4 Variable and structure elicitation For identified stocks/variables, triangulate the reference mode behavior given during the LayerStack discussion [reference mode elicitation] Reflector feedback is critical: as you develop the structure for a given module, try to summarize what the structure seems to says “qualitatively”. Talk about feedback loops and the types of behavior that seem to emerge from the structure you get. Repeat for the different modules. It is likely that this process can be done for one or two modules maximum per session (from session 2 onwards). This means you will probably focus on five or six modules at most. Source: Berends (2019) Picture credit: J. Berends 2019 (Palaw, Myanmar)
  51. 51 Script 5: From concept modules to models Picture credit: J. Berends 2019 (Palaw, Myanmar) Transferring group ownership from one image to another In a given session, you will have developed a concept structure for one or two modules with stakeholders. It will be the team’s job to translate that model into something that works in STELLA/Vensim, even if simply. We can demonstrate STELLA models through Microsoft Teams. Each parameterized module will need to be fed back to stakeholders at the start of the following session to show them your interpretation of their discussion and to validate/correct/fine-tune it. Source: Berends (2019) Time allocation: 30-60 minutes/module (groups) at beginning from session 3
  52. 52 Group exercises (5) Agendas and planning Hopes-and-fears Motivating systems thinking Layerstack Problem identification/prioritization Causes and consequences Facilitation of a concept module Source: https://commons.wikimedia.org/wiki/File:Man_Tired_After_Workout_Cartoon.svg, CC- BY-SA 4.0"
  53. 53 Facilitation tips Facilitation is an art! Good facilitation benefits from professional training (beyond this short training!) Some tips from Vennix (1996) and Kaner (1996) • Be problem-focused and have a helpful attitude • Be neutral: don’t try to bias/game the results. • Repeat what you heard to ensure understanding; don’t interpret what you want to hear. Listen actively! • Manage conflict and tension effectively – don’t stifle debate but work towards consensus. Use voting techniques as necessary. • Bring everyone out – use round-robin and other techniques to get all people involved • Make sure everyone is heard • The lead facilitator facilitates, and does not take notes, model, etc.
  54. 54 Miscellaneous tips Sessions should be no more than one-half day in duration (~3 hours) Maximum number of sessions: typically five, can be less. A larger dissemination session with outside parties is useful upon modeling conclusion The first two sessions can be done back-to-back on consecutive days. But there should be at least one week (two weeks are better) between sessions 2 & 3, and 3 & 4 for the team to process modules into models Post-session debrief by facilitation team is important – reflections on what went well, what didn’t, what could be improved for next time. Relax, have fun, and learn with your stakeholders!
  55. 55 Group exercises – full round Agendas and planning Hopes-and-fears Motivating systems thinking Layerstack Problem identification/prioritization Causes and consequences Facilitation of a concept module Workbooks Source: https://commons.wikimedia.org/wiki/File:Coach_Using_a_Whistle_Cartoon.svg, CC-BY- SA 4.0"
  56. 56 References Berends, J., Rich, K.M., & Lyne, M.C. (2020). A pro-poor approach to upgrade value chains in Tanintharyi region of Myanmar. Oral presentation for the 3rd Asia-Pacific System Dynamics Society Conference, Brisbane, Australia, 4 February 2020. Hovmand, P. S. (2014). Community Based System Dynamics. Springer, New York, NY. Lie, H., Rich, K.M., & Burkart, S. (2017). Participatory system dynamics modelling for dairy value chain development in Nicaragua. Development in Practice 27 (6), 785-800. Luna‐Reyes, L. F., Martinez‐Moyano, I. J., Pardo, T. A., Cresswell, A. M., Andersen, D. F., & Richardson, G. P. (2006). Anatomy of a group model‐building intervention: Building dynamic theory from case study research. System Dynamics Review: The Journal of the System Dynamics Society, 22(4), 291-320. Rich, K.M., Rich, M., & Dizyee, K. (2018). Participatory system approaches for urban and peri-urban agriculture planning: the role of system dynamics and spatial group model building. Agricultural Systems 160, 110-123. Photo credits (slide 12) https://commons.wikimedia.org/wiki/File:Felix_aprilmaze_01.jpg, Public domain https://commons.wikimedia.org/wiki/File:8_Bit_Dinosaur_With_Laptop.png, CC BY-SA 4.0 https://commons.wikimedia.org/wiki/File:A_Cartoon_Man_Sleeping_At_Work.svg, CC 4.0 BY-SA https://commons.wikimedia.org/wiki/File:Cartoon_Black_Woman_Using_A_Laptop_At_Home.svg, CC 4.0 BY-SA https://commons.wikimedia.org/wiki/File:Satisfied_Cartoon_Woman_Using_A_Laptop_On_A_Mat.svg CC BY-SA 4.0 https://commons.wikimedia.org/wiki/File:Osha-facemask-blue.svg, CC0 https://pngimage.net/tablet-cartoon-png-3/ https://commons.wikimedia.org/wiki/File:Books-aj.svg_aj_ashton_01g.png, Public domain
  57. THANK YOU Picture credit: K.M. Rich 2019 (Bamako, Mali)

Editor's Notes

  1. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  2. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  3. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  4. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  5. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  6. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  7. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  8. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  9. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  10. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  11. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  12. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  13. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  14. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  15. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  16. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  17. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  18. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  19. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  20. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  21. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  22. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  23. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  24. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  25. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  26. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  27. moving it to the heart of livestock agendas and investments and driving technical and transformational interventions so women can achieve better lives through livestock
  28. LMP, GLAD, TASSL and ADGG in particular
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