Development Knowledge Translation and Research Uptake Training Course

Course Introduction

Development knowledge and research can generate valuable evidence for improving policies, programmes, services, and community outcomes, but evidence only creates meaningful impact when it is understood, trusted, communicated, and applied by the people who need it. The Development Knowledge Translation and Research Uptake Training Course focuses on bridging the gap between research generation and practical use by strengthening participants’ ability to transform complex evidence into accessible, relevant, and actionable knowledge for decision-makers, practitioners, communities, funders, and other stakeholders.

The course provides a comprehensive understanding of knowledge translation as a strategic process for moving research findings, data, lessons, innovations, and programme evidence into policy, practice, organisational learning, and development action. Participants will explore how to identify research users, understand their information needs, assess evidence readiness, develop compelling knowledge products, select appropriate communication channels, and create engagement pathways that increase the likelihood that research will influence decisions and improve development outcomes.

Participants will examine the complete research uptake cycle, from evidence generation and stakeholder mapping through synthesis, interpretation, communication, dissemination, engagement, application, institutionalisation, and learning. Particular attention is given to translating technical research into policy briefs, evidence summaries, practice guides, decision tools, presentations, infographics, dashboards, case studies, learning products, and other formats that support different audiences. The training also explores how to communicate uncertainty, limitations, conflicting evidence, and research findings responsibly.

The course recognises that research uptake is not simply a dissemination exercise but an interactive process involving relationships, incentives, institutional cultures, political contexts, professional networks, timing, trust, and opportunities for evidence use. Participants will learn how to build researcher-practitioner relationships, engage policymakers early, facilitate evidence dialogues, develop communities of practice, strengthen organisational learning, and create feedback mechanisms through which users can influence research priorities and knowledge products.

The training addresses emerging developments affecting knowledge translation, including artificial intelligence, open science, data visualisation, digital knowledge platforms, automated evidence synthesis, research integrity, misinformation, disinformation, reproducibility concerns, rapid evidence needs, and increasingly complex policy environments. Participants will explore responsible uses of emerging technologies while considering ethical communication, source credibility, intellectual property, data protection, accessibility, equity, and the risks of oversimplifying or misrepresenting research evidence.

By completing the training, participants will be better equipped to develop evidence-to-action systems that improve the relevance, accessibility, credibility, and practical use of development research. They will gain tools for stakeholder analysis, research synthesis, audience segmentation, knowledge product development, policy engagement, dissemination planning, research communication, uptake monitoring, and organisational learning, enabling them to strengthen the connection between knowledge, decision-making, implementation, innovation, and measurable development impact.

Duration

10 days

Who Should Attend

• Development research managers and programme coordinators

• Research uptake and knowledge translation specialists

• Monitoring, evaluation, research, and learning professionals

• Policy analysts and policy engagement specialists

• Government officials and public-sector decision-makers

• Researchers, academics, and research programme leaders

• Knowledge management and organisational learning professionals

• Development communication and strategic communication specialists

• NGO and civil society programme professionals

• Development practitioners and technical advisers

• Think-tank researchers and policy research professionals

• Donor and development partner programme specialists

• Evidence synthesis and research dissemination professionals

• Data, learning, innovation, and digital knowledge specialists

• Consultants, trainers, evaluators, and development research communicators

Course Objectives

• Develop practical knowledge translation strategies that connect development research, evidence, learning, policy processes, programme implementation, and measurable development outcomes.

• Identify and analyse research users according to their decision-making roles, evidence needs, incentives, knowledge preferences, institutional contexts, and opportunities to apply research findings.

• Translate complex research findings, datasets, evaluations, and technical evidence into clear, credible, relevant, accessible, and actionable knowledge for different stakeholder audiences.

• Design research uptake pathways that move evidence beyond dissemination toward meaningful engagement, interpretation, application, adaptation, institutionalisation, and sustained use.

• Develop high-quality knowledge products including policy briefs, evidence summaries, practice guides, research digests, case studies, presentations, infographics, and decision-support tools.

• Strengthen relationships between researchers, policymakers, practitioners, communities, funders, private-sector stakeholders, and other evidence users through structured engagement and dialogue.

• Apply stakeholder engagement and behavioural insights to understand why evidence is accepted, ignored, contested, adapted, or incorporated into policies and development programmes.

• Develop communication approaches for presenting uncertainty, limitations, methodological issues, conflicting findings, emerging evidence, and research gaps without undermining appropriate evidence use.

• Use digital platforms, social media, knowledge repositories, webinars, dashboards, online communities, and emerging technologies to expand research accessibility and evidence engagement.

• Integrate research integrity, ethical communication, accessibility, inclusion, data protection, responsible technology use, and credibility considerations into knowledge translation activities.

• Establish monitoring and evaluation systems that assess knowledge reach, engagement, comprehension, evidence use, policy influence, practice change, organisational learning, and research uptake outcomes.

• Produce practical research uptake strategies, stakeholder engagement plans, knowledge products, dissemination frameworks, evidence communication campaigns, and learning systems for real-world development programmes.

Comprehensive Course Outline

Module 1: Foundations of Knowledge Translation and Research Uptake

• Understanding the concepts, principles, purposes, and distinctions between knowledge translation, research uptake, dissemination, knowledge exchange, and evidence-informed decision-making.

• Examining why high-quality research may fail to influence policies and practice because of communication barriers, timing, institutional incentives, accessibility, trust, capacity, or political context.

• Exploring the research-to-policy and research-to-practice pathways through which evidence can contribute to programme design, implementation, innovation, learning, and development outcomes.

• Understanding the evolving global evidence environment and emerging expectations for researchers and development organisations to demonstrate meaningful knowledge use and impact.

Module 2: Development Research and Evidence Ecosystems

• Mapping research systems involving universities, governments, think tanks, NGOs, development agencies, communities, funders, private organisations, and policy institutions.

• Understanding how different forms of evidence, including quantitative research, qualitative studies, evaluations, administrative data, lived experience, and local knowledge, contribute to development decisions.

• Examining institutional, political, economic, cultural, and professional factors that shape the generation, interpretation, credibility, accessibility, and use of research evidence.

• Analysing opportunities and barriers for strengthening evidence ecosystems, research partnerships, knowledge exchange, research relevance, and sustained research uptake.

Module 3: Strategic Research Uptake Planning

• Developing integrated research uptake strategies aligned with research objectives, programme theories of change, policy priorities, implementation needs, stakeholder interests, and development outcomes.

• Establishing uptake objectives, priority users, messages, knowledge products, engagement activities, channels, responsibilities, resources, timelines, risks, and success indicators.

• Integrating research uptake considerations throughout research design, implementation, analysis, communication, dissemination, engagement, application, evaluation, and learning.

• Developing adaptive uptake plans that respond to changing evidence, policy windows, stakeholder priorities, emerging findings, implementation challenges, and evolving development contexts.

Module 4: Stakeholder and Research User Analysis

• Identifying policymakers, practitioners, researchers, programme managers, communities, funders, civil society organisations, private-sector actors, and other potential evidence users.

• Segmenting research users according to decision-making authority, evidence needs, technical knowledge, information preferences, institutional roles, and opportunities to apply findings.

• Analysing stakeholder interests, incentives, influence, relationships, knowledge gaps, concerns, trust levels, and potential resistance to evidence-informed change.

• Using stakeholder mapping, power analysis, user research, interviews, consultations, and participatory approaches to develop targeted research uptake strategies.

Module 5: Evidence Synthesis and Interpretation

• Understanding approaches for reviewing, synthesising, comparing, interpreting, and summarising research evidence for policy and programme decision-making.

• Translating statistical findings, evaluation results, qualitative insights, research methodologies, and technical evidence into meaningful implications for development practice.

• Assessing evidence strength, relevance, quality, limitations, uncertainty, transferability, applicability, and contextual fit before communicating findings to users.

• Avoiding selective reporting, overstatement, false certainty, misleading comparisons, inappropriate generalisation, and other practices that can undermine evidence credibility.

Module 6: Knowledge Product Development

• Designing policy briefs, evidence summaries, research digests, practice notes, technical briefs, case studies, learning papers, factsheets, and decision-support resources.

• Applying audience-centred writing, information design, visual storytelling, plain language, data presentation, and structured messaging to make evidence accessible and actionable.

• Matching knowledge products to specific decision contexts, user needs, levels of technical expertise, communication preferences, time constraints, and evidence requirements.

• Reviewing and testing knowledge products with intended users to improve clarity, usefulness, accessibility, accuracy, credibility, and potential for practical application.

Module 7: Research Communication and Knowledge Exchange

• Developing communication approaches that explain research questions, methods, findings, implications, limitations, and practical relevance to non-specialist and specialist audiences.

• Using seminars, workshops, policy dialogues, conferences, webinars, roundtables, communities of practice, consultations, and other knowledge exchange formats.

• Strengthening two-way communication so research users can challenge assumptions, provide contextual knowledge, identify evidence gaps, and influence future research priorities.

• Building long-term researcher-user relationships that support trust, collaboration, co-production, evidence interpretation, implementation learning, and sustained knowledge exchange.

Module 8: Policy Engagement and Evidence-Informed Decision-Making

• Understanding policy processes, decision windows, institutional incentives, political considerations, implementation constraints, and opportunities for research evidence to influence policy.

• Developing policy engagement strategies that connect research findings with current policy priorities, reform agendas, implementation challenges, and decision-making needs.

• Preparing policy briefs, evidence presentations, talking points, stakeholder briefings, policy dialogues, and advocacy messages that communicate evidence effectively to decision-makers.

• Addressing contested evidence, political sensitivities, competing interests, uncertainty, rapid decision-making requirements, and situations where evidence may challenge established positions.

Module 9: Practitioner Uptake and Implementation Learning

• Designing approaches that translate research evidence into practical tools, guidelines, protocols, training resources, implementation strategies, and programme improvements.

• Engaging practitioners early to understand operational realities, implementation barriers, resource constraints, professional norms, and opportunities for applying research findings.

• Using communities of practice, peer learning, technical assistance, learning sessions, implementation research, and feedback loops to strengthen evidence use.

• Documenting how research is adapted, tested, incorporated, scaled, institutionalised, or rejected and using these lessons to improve future research uptake.

Module 10: Digital Knowledge Translation and Research Dissemination

• Using websites, repositories, social media, newsletters, podcasts, webinars, dashboards, digital libraries, online communities, and other platforms for evidence communication.

• Developing digital knowledge products including interactive graphics, research explainers, short videos, data stories, visual summaries, online courses, and evidence dashboards.

• Addressing digital accessibility, information overload, platform fragmentation, discoverability, cybersecurity, data protection, intellectual property, and unequal access to digital knowledge.

• Exploring artificial intelligence, automated evidence synthesis, semantic search, knowledge assistants, machine-supported summarisation, and other emerging tools for research communication.

Module 11: Inclusive and Accessible Knowledge Translation

• Designing knowledge translation approaches that consider language, literacy, disability, digital access, technical expertise, geography, socioeconomic conditions, and diverse evidence needs.

• Making research products accessible through plain language, appropriate formats, alternative text, visual explanations, translations, accessible documents, and multiple communication channels.

• Integrating community knowledge, lived experience, indigenous knowledge, practitioner expertise, and locally generated evidence alongside formal research where appropriate.

• Addressing power imbalances, exclusion, extractive research practices, tokenistic engagement, and unequal access to research findings and decision-making processes.

Module 12: Research Integrity, Ethics and Evidence Credibility

• Understanding research integrity principles involving accuracy, transparency, reproducibility, responsible reporting, attribution, conflicts of interest, and ethical evidence communication.

• Communicating methodological limitations, uncertainty, negative findings, contradictory evidence, data gaps, and changing conclusions in ways that preserve credibility.

• Addressing plagiarism, fabrication, selective reporting, citation problems, misleading visualisation, inappropriate claims, and other risks to research and knowledge integrity.

• Developing ethical knowledge translation practices that protect participants, respect intellectual property, safeguard sensitive information, and maintain appropriate research confidentiality.

Module 13: Media, Public Engagement and Evidence Advocacy

• Building constructive relationships with journalists, editors, broadcasters, science communicators, development media, digital publishers, and public information networks.

• Preparing research press releases, media briefs, expert commentary, interview materials, public explainers, opinion pieces, and evidence-based advocacy resources.

• Communicating research findings to public audiences without oversimplifying evidence, exaggerating implications, creating false certainty, or obscuring important limitations.

• Developing evidence advocacy narratives that connect research findings with policy priorities, public concerns, programme improvements, social outcomes, and development investment decisions.

Module 14: Monitoring Research Uptake and Influence

• Developing research uptake indicators that measure awareness, reach, engagement, comprehension, evidence access, application, influence, policy use, practice change, and organisational learning.

• Designing contribution-focused approaches for assessing how research and knowledge products influence decisions alongside other factors such as politics, resources, experience, and institutional priorities.

• Using interviews, surveys, citation analysis, policy tracking, stakeholder feedback, digital analytics, document reviews, case studies, and outcome harvesting to assess uptake.

• Applying learning from monitoring and evaluation to refine stakeholder engagement, knowledge products, communication channels, research priorities, and uptake strategies.

Module 15: Emerging Issues in Knowledge Translation

• Exploring artificial intelligence, generative AI, automated research synthesis, large-scale evidence repositories, machine translation, and AI-assisted knowledge discovery.

• Addressing misinformation, disinformation, synthetic content, research manipulation, declining trust, information overload, predatory publishing, and challenges to evidence credibility.

• Examining open science, open access, data sharing, reproducibility, citizen science, rapid evidence reviews, living evidence systems, and evolving research communication models.

• Preparing research uptake systems for rapidly changing policy environments, complex development challenges, crisis contexts, interdisciplinary evidence needs, and accelerated decision-making.

Module 16: Integrated Research Uptake Planning

• Developing a comprehensive research uptake strategy integrating evidence assessment, user analysis, engagement objectives, knowledge products, communication channels, activities, resources, risks, and evaluation.

• Designing practical evidence-to-action initiatives addressing policy influence, programme improvement, practitioner learning, community engagement, innovation, or organisational decision-making.

• Conducting simulations involving stakeholder consultations, policy briefings, research presentations, evidence dialogues, media engagement, knowledge product testing, and uptake evaluation.

• Presenting and refining research uptake plans using peer feedback, facilitator guidance, evidence integrity principles, user-centred approaches, implementation considerations, and measurable outcomes.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.