Evidence gathering on social learning workshop


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This presentation was held during the workshop on gathering evidence on social learning. The workshop was held on 16-17 June in London by the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), International Institute for Environment and Development (IIED) and many others, gathering about 40 participants. Learn more: http://ow.ly/y4HbN

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Evidence gathering on social learning workshop

  1. 1. CCSL M&E workshop : Evidence gathering on social learning Wiebke Förch, Philip Thornton, Liz Carlile London 16 June 2014
  2. 2. 2 Over-arching objectives 1. To identify and test pro-poor adaptation and mitigation technologies, practices, and policies for food systems, adaptive capacity and rural livelihoods 2. To provide diagnosis and analysis that will ensure cost effective investments, the inclusion of agriculture in climate change policies, and the inclusion of climate issues in agricultural policies, from the sub-national to the global level
  3. 3. How CCAFS operates • Network of 21 CCAFS research sites in 5 regions • Working with 15 CGIAR research centres and a multitude of local, regional and international partners • Using climate smart villages as test beds for suites of adaptation and mitigation technologies and policies
  4. 4. Flagship 1: Climate-smart practices 1 Improved technologies and practices for climate-smart agriculture 2 Methods, approaches and capacity for local adaptation planning 3 Innovative mechanisms for scaling up and out, including building local capacity to innovate
  5. 5. Flagship 2: Climate Information Services and Climate-Informed Safety Nets 1. Methods for seasonal agricultural prediction and early warning 2. Methods for communicating climate information and advisories 3. Climate-informed safety nets for dealing with impacts of climate shocks on food security 4. Climate-informed insurance programs that benefit women and men farmers
  6. 6. Flagship 3: Low-emissions agricultural development 1 Measurement of small-scale farming emissions 2 Tools and approaches to assess mitigation options 3 Support to national low emissions development plans and finance (e.g. NAMAs) 4 Improving innovation systems for mitigation 5 Information systems and analysis supporting sustainable commodity initiatives
  7. 7. Flagship 4: Policies and institutions for resilient food systems 1 Data, models and scenarios to understand impacts of climate change 2 Decision support tools for targeting policy development and making investment choices 3 Analysis of strengths and weaknesses of current and emerging policy 4 Analysis and experimentation concerning novel decision-making processes
  8. 8. FP 1: Climate- smart practices FP 2: Climate information services and climate-informed safety nets FP 3: Low emissions development FP 4: Policies and institutions for a resilient food system 20 million farmers have transformed their agricultural practices to be climate-smart Build the resilience of 10 million farmers to climate-related risk Contributions to Intermediate Development Outcomes (IDOs) 25 countries will have enabling agricultural, climate change and food security policies, with a 50% increase in investments 20% reduction of GHG emissions while enhancing food security in at least seven countries
  9. 9. Social learning approaches can: • contribute to smarter, more effective research-for-development institutions vis-à-vis performance and governance • help them to achieve more sustainable results, measured as development outcomes But: • Evidence on the impact of social learning approaches on “hard” development outcomes? • Costs of social learning approaches compared with other approaches, including high perceived transaction costs? • Ability to replicate and scale out results more broadly?  Assemble an evidence base with some empirical rigour, using a common evaluative framework to track new initiatives from different institutional settings that incorporate social learning approaches Why do we need a social learning evidence base?
  10. 10. Social Learning Framework and Toolkit 1 Taking stock Baselines, evaluations • Introductory guidance • Self-assessment • Decision-support tree 2 Assessing options Guidance & resources • Toolkit and approaches • Case studies on specific solutions • Protocols for monitoring & evaluation 3 Getting it right Gathering feedback and moving forward • Drawing on existing communities of practice and networks • Guidance on engagement tools • Facilitation and engagement helpdesk 4 Gathering evidence Documentation and data gathering • M&E documentation tools, forms and protocols • Examples and case studies of M&E documentation 5 Analysing the evidence Analysis and action • Identifying insights and actions • Convening learning and exchange events across cases 6 Dissemination Communicating results • Reports, articles, learning & policy briefs, blogs, • Archiving the evidence and making it openly available An evaluative framework for assembling an evidence base on the impacts of social learning CCSL, 2013
  11. 11. • To get buy-in and clarity on the workstream we are undertaking with participating projects and to introduce them to each other • To build an agreed framework together for gathering the evidence: key criteria, indicators, workplan • Testing our framework against some reflections or principles from a body of experts • Timelines and guiding principles for how we will collate and share the growing body of evidence as we go forward Participants: CCSL members, project participants, specialist friends Workshop objectives and outcomes
  12. 12. • Co-develop a framework for monitoring and evaluating the SL components in our projects • Apply the framework to collectively build a body of robust evidence about the conditions under which SL approaches are effective, replicable and/or scalable, sustainable Where do we want to get to? Improved understanding of what SL can offer for adaptation, risk management & mitigation across contexts Based on evidence, engage international organisations, governments, etc. to provide more favorable institutional environments that foster SL
  13. 13. w.foerch@cgiar.org p.thornton@cgiar.org Climate Change and Social Learning (CCSL) http://ccsl.wikispaces.com/ CCAFS website http://ccafs.cgiar.org/social-learning-and-climate-change