Ingram, Julie

Research Institute of Agricultural Economics

Case studies for stakeholder-driven (co)innovationJulie Ingram, CCRI, University of Gloucestershire, UKOutline• Context: translating research and co-innovation• Case studies • The stakeholder-driven approach• Examples• ConclusionsTranslation of research• Science continues to be essential for innovation but there are challenges in translating research into practice• Outreach and translation of research is needed for effective deployment of innovative research• Emerging interest in translational research –more emphasis on involving end-users in innovative networks• Theoretical perspective  - integrating interactive model innovation-driven research and a linear science-driven model“Knowledge translation is the meeting ground between two fundamentally different processes: research and action. It knits them with communicative relationships”Bennett and Jessani (2011)Co-innovation for research translation -integrating innovation modelsCombined research is better adapted and can be translated to needsInnovation-driven Innovation is an emergent product ‘co-produced’ through interactions between networks of producers and users of knowledgeScience-driven   Innovation is development of products and technologies by science for end usersInnovation: the process of creating  and putting into use combinations of knowledge from many different  sources EU EIP AGRITranslation as co-innovationHow do you ‘do’ co-innovation for translation?• a co-innovation approach is challenging- not a recipe-often a process of experimentation• principles: iterativity, dialogue and reflection • dialogue between the ‘demand’ and ‘supply’ sides requires continuous re-articulation • case studies at the core of the stakeholder-driven approach• consult stakeholders in 10 CS to mobilise their knowledge, identify knowledge gaps, evaluate  innovative solutions from researchStakeholder-driven approach: case studies on co-innovationCase studiesRed flags= case studies; green flags = partnersCatchment scale resource useefficiencySoil management in livestock supply chainsSustainable forest biomass: recycling of wood ashAgro-ecology: reduction in use of plant protectionInnovative arable systemSustainable Forest Management and Ecosystem ServicesImproving Milling Wheat QualityDrip Irrigation Management inTomatoes and MaizeSustainable onion supply chainsSustainable potato supply chainsStakeholder-driven approach: case studies on co-innovationExtract knowledge for innovation• Extract, screen, summarise• Create knowledge base for ask-Valerie.eu• Identify gaps Create data infrastructure • Themes structure the extraction• Structured vocabularyCase studies on innovation• Provide ontologies• Articulate knowledge needs• Evaluate solutions Create smart search tool ask-Valerie.euIntegrate into EIP NFStakeholderdrivenThematicdrivenOntologyDeveloping ask-Valerie.eu Contribute to ontologiesRaise issues of interestEvaluate solutionsUpload local articles/ reports/commentsTest and co-develop AV Understand how SH ask questionsLearning  in the projectHelp identify research needs Fact sheets to answerspecific questionsTest out innovations in trialsUse AV – to answer questionsConnect with and learning from othersStakeholder-driven approach: case studies on co-innovationBuild a smart search engine that is relevant to users’ needsIdentify, apply, test and refine screened research outputsMobilises farmers to assess their innovation demands and capture their knowledge for integration into ask-Valerie.eu, ensures ask-Valerie.eu is relevant to usersContribute to structured vocabulary• Stakeholder vocabularies, concepts, issues, problems and questions relevant to the 6 themes (and particular to case studies) helps create the structured vocabulary to create ask-Valerie.eu• Feedback and language translation builds ask-Valerie.euSeries of meetings with stakeholders in case studies facilitated by cs partners• Farmers identify research needs• Scientists search and retrieve ‘best matching’ information• Scientists translate science into end user format (Fact sheets) • Farmers review Fact sheets and feedback to scientists• Farmers test information- assess viability with trials -feedbackCase studies on co-innovationIdentify issues, evaluate & test solutionsSH identify research issuesExperts search , summarise research & create fact sheets SH review & evaluate fact sheets SH feed back to expertsset up trial for selected innovationsSH Meetings Sustainable potato supply chain, PolandKey quality issue- internal brown spots in potato tubers .. cause problems in processing of french friesThe potato production in Poland for the French fry industry in the Netherlands.  Supply chain SHs - growers, processing and exporting industry, suppliers of seeds, fertilisers and pesticides, extension service  and researchMeeting 1 issues• internal brown spots in potato tubers• discolouration of frenchfries after processing• early dying of potato crop, variety Innovator• sprouting of Innovator in store• Rhizoctonia solani• hollow hearts in tubers• skin set after haulm killing in seed potatoes• bacterial wilt in seed potatoes•misshaped tubers, tuber length, frying indexMeeting 1 issues priorityBrown spot caused by TVR transmitted by nematodes-Brown spot caused by Ca deficiencyControl with variety choiceControl with crop rotationTrials1. the susceptibility of different varieties for specific TRV strains transmitted by nematodes 2. testing 2 Ca fertilisers for the effect on hollow heart and reduction of Ca deficiency symptoms in Russet Burbank Meeting 2 issues More about TVRCalcium deficiencyOzone damageFact sheets 3 factsheets on Tobacco Rattle Virus : General, Control, CultivarsFact sheetsCa fertilisationRole of ozone in crop qualitySustainable potato supply chain, PolandCatchment scale resource use efficiency, UKA group of farmers who are part of a catchment management project   interested in all aspects of crop and soil management, especially nutrient management, to optimise productivity and enhance water qualityMeeting 1 issues•Weed Control in an arable rotation • Conservation and Environment (field margins, beetle banks, partnership working)•Machinery impact on soil•Use of dredged silt• Cover crops• Snail Control•New methods of nutrient management•GM modified crop varieties• Climate change implications for crop productionMeeting 1 issues summary•Management practices to release P and K from soils/soil  amendments/• Role of trace elements in crop nutrient availability • Soil management and crop rotations to improve  climate change resilience Trials• Biological additions / trace elements. • Cover crops benefits  for compaction, soil structure and crop yield• Cover crops in continuous maize cropping. Meeting 2 issues •Weed Control in an arable rotation.(black-grass control, herbicide resistance, grass rotations)•Cover crops•New methods of nutrient managementFact sheets• Catch crops to reduce N leaching• Allelopathy: a tool for an integrated management of resistant Black grass Fact sheets Increased phosphate mobilisation using soil amendmentsCatchment scale resource use efficiency, UKStakeholder-driven approach: identify needs, evaluate & test solutionsSH identify research needsExperts search , summarise research & create fact sheets SH review & evaluate fact sheets SH feed back to expertsset up trial for selected innovationsSH Meetings Research translation as co-innovation: lessons so farProcess and context • Farmers identify and articulate research needs in different ways• Experts interpret their needs and find solutions in different ways• Need dialogue for continuous re-articulation • Case study social and technical context and goals influence topic, farmer scientific literacy etc• CS partners are key intermediaries- managing project and farmer expectationsContextInnovation systemExisting projects/issuesActors: CSP, SC, SHScope & depth of enquirySH research literacy,innovation services support, expectation, validity  ProcessManaging iteration and participationNature and extent of SH participation and engagement Methods used to ascertain SH innovation issues and prioritiesCSP relationship & influence with SHSteering issue prioritisationDual identityIterative process Research translation as co-innovation: lessons so far• Co-innovation -combines SH experiences with utilising existing research outputs – the benefits of science-driven and innovation driven research• Translation processes- identification, prioritisation, articulation, evaluation, searching, extraction - requires flexibility, adaptability, iteration• Reconciling the supply and demand of scientific information can be highly pragmatic and contextual in nature• Assumption that farmers  articulate concrete research questions and scientists find immediate solutions is simplistic• Mobilises farmers to assess their innovation demands and capture their knowledge for integration into ask-Valerie.eu - ensures AV is relevant to users’ needsA transferable model for translating researchDeMeyer 2014 Modified from  Birner et al. 2006Co-innovationmulti actor research projects, operational groups

Case studies for stakeholder-driven (co)innovation

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Case studies for stakeholder-driven (co)innovation

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