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Enhancing quality of research 4 development: Initial ideas for design and implementation of the integrated core projects

  1. Enhancing Quality of Research 4 Development: Initial Ideas for Design and Implementation of the Integrated Core Projects Jane Poole, Alice Njehu Livestock CRP Priority Countries Planning Meeting 26 – 27 March 2019 Nairobi, Kenya
  2. What is ‘Research Quality’ for our Country Implementation Plans and Core Projects 2019 - 2021 • Relevance - Our ToC & testing of its assumptions, problem identification, identification of interventions (best-bet) • Scientific Credibility - Our research questions and methods, including design, protocols, tools and analyses, outputs – for different stakeholders, peer-reviewed, FAIR • Legitimacy - Our compliance with ethical standards and activities with appropriate partners • Effectiveness - Our ex-post impact assessment, reporting of CGIAR common indicators, showing progress towards outcomes in ToC and how we enable the translation of knowledge to use, including capacity development * Both the L&F CCEE Evaluation of VC approach (Doyle Baker et al) and the IEE (McLeod et al) emphasized that although there is high quality research being under-taken we need to maintain high attention to the design of field projects, capitalize on opportunities for cross- discipline/cross-location activities and invest more in quantitative approaches to both planning and analysis of research
  3. QoR4D opportunities of Core Projects 2019 - 2021 • Within Country: – Co-piloting of interventions (‘package’) – Co-location for piloting (site selection) – Co-ordinated design approach • Across Countries: – Common indicators (+ data collection tools) – Cross-country standards (e.g. design protocol) – Cross-country analysis & learning We have this opportunity for coordinated priority country planning, to discuss common standards and approaches. Increases our opportunities for cross-flagship/country analysis, synthesis and learning.
  4. Our Country ‘Core Project’ = ‘Research activity’? • When we design and implement research activities we go through similar processes (protocol elements): – What is the problem / background / justification – may include literature reviews – What are our aims and objectives / research questions / hypotheses – What is our approach going to be to answer these? – design, methodologies, target population, study area, sampling, tools – How will we conduct the research (implementation plan) – data management plan, training (data collection / field staff), analysis plan – Logistics / budget – Research compliance / Ethics • These elements may be presented informally in research proposals (detail depends on the donor) and/or in formal project or activity-level protocols (when research compliance or other standards require it – like registering RCT protocols)
  5. What are the most important elements to discuss here* • What is the problem / background / justification – In what context are we working? What is the current environment (political, environmental, value-chain) for the focus species? Situational Analyses (L&F and updated versions)* – How are we identifying the intervention(s) and cross-cutting elements to include? Best-bet Protocol from Livestock & Fish* *what standard tools do we have to support these decisions – that could be applied across contexts (countries / flagships / interventions)
  6. What are the most important elements to discuss here* • What are our aims and objectives / research questions / hypotheses – What changes (outcomes and impact) do we observe and how do we attribute / show contribution of the CRP? (Impact Assessment) – Does our ToC / IP capture the change pathway to achieve these changes (learning for scaling-up and out)? (Contribution Analysis) – Do(es) the intervention(s) work? yes / no (we’ve already done this? Maybe not for combination of interventions – ‘package’)
  7. What are the most important elements to discuss here* • What is our approach going to be to answer these? – Our DESIGN approach derives from the aims and objectives: – (quasi)experimental: with / without intervention(s) – observational: testing the assumption of the ToC/IP to show the validity of the pathway *what standard tools do we have to support these decisions – that could be applied across contexts (countries / flagships / interventions): Generic Protocol Template for the activity; Protocol for testing and evaluating innovations (LLAFS) - adjusted for intervention testing and/or Bao tool?
  8. Additional protocol elements – aligned to Objectives and Design Approach (1 of 2) • What is our approach going to be to answer these? – Methodologies: integrating mixed-methodologies at different levels (e.g. VC assessment, community-level FGDs, household surveys) – Target population & Study Area: current areas of focus (L&F sites + current bilaterals), do we work in new areas only, new + old, old only? Depends also on the Design above. Site selection protocol*? – Sampling: sampling frame? Measuring what indicators?, sample size justification for specific outcome / impact indicators*, sampling protocol*? – Tools: VC Toolkit version 2 (national to community level)*, Rhomis (household level)*, others? *what standard tools do we have to support these decisions – that could be applied across contexts (countries / flagships / interventions)?
  9. Additional protocol elements – aligned to Objectives and Design Approach (2 of 2) • How will we conduct the research (implementation plan) – – data management plan (DMP)* – training (data collection / field staff) – examples in VC toolkit* – analysis plan • Logistics / budget • Research compliance / Ethics – ILRI Research compliance platform for human, animal and biosafety ethics – ICARDA, SLU, CIAT? *what standard tools do we have to support these decisions – that could be applied across contexts (countries / flagships / interventions)?
  10. CGIAR Research Program on Livestock livestock.cgiar.org The CGIAR Research Program on Livestock aims to increase the productivity and profitability of livestock agri-food systems in sustainable ways, making meat, milk and eggs more available and affordable across the developing world. This presentation is licensed for use under the Creative Commons Attribution 4.0 International Licence. The program thanks all donors and organizations which globally support its work through their contributions to the CGIAR system

Editor's Notes

  1. Broad brush – includes aspects covered in other presentations (Caroline / Nils on IA; Helen on partnerships; Iddo on scaling and capacity development; Caroline & Helen on ToC / IP perspective
  2. Remember – red = Relevance, Blue = Scientific Credibility, Green = Legitimacy Research design (e.g. cross-sectional, case study, cohort, experimental study etc.) Methodologies (quantitative, qualitative or mixed methods) & specific activities (e.g. HH survey, FGD, KII, animal level measurements); Target Population (who benefits) Study area / Geographical Cover (where) Sampling (sampling strategy - including hierarchies and stratification, sample size & justification, sampling frames and units, etc.) Tools (Type / List e.g. recording sheets, FGD guides, HH questionnaire)
  3. For which technologies would co-ordinated delivery and assessment be especially promising? From a delivery perspective (e.g. AI & vaccination) From a producer perspective (e.g. feed & finance) Which technologies can be combined into packages? Seed systems for forage and multi-use crops? How to deal with disciplinary and administrative boundaries?
  4. Yellow highlight – tool / document to link to
  5. Nils will talk more about the experimental option re: Impact Assessment
  6. Nils / Caroline will talk more on indicators and Rhomis Refer to handout for Site Selection
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