Food Security Research Services for Sustainable Agriculture Policy

Delivering rigorous, policy-ready research that turns complex food systems data into actionable, equitable, and resilient agricultural policy. Research Bureau supports governments, NGOs, funders, and agribusinesses with evidence-driven analysis, stakeholder engagement, and practical policy instruments to strengthen food security and advance sustainable agriculture.

Why robust food security research matters now

Food security is multifaceted — it spans production, access, utilization, stability, and agency. Policy responses that ignore system complexity or vulnerable populations risk failure, waste, or unintended harm. High-quality research ensures interventions are targeted, scalable, and fiscally responsible.

• It identifies vulnerability hotspots and seasonal risk windows.
• It surfaces trade-offs between productivity, equity, and environmental sustainability.
• It measures policy impacts and informs course correction before budgets are exhausted.

At Research Bureau, we translate rigorous analysis into clear policy options, making evidence accessible to decision-makers while centering equity, nutrition, and climate resilience.

Who we serve

• National and subnational governments crafting agricultural strategy or safety-net reforms.
• Multilateral and bilateral donors designing food security investments.
• NGOs implementing community-based resilience or nutrition programs.
• Agribusinesses assessing supply chain resilience and ESG commitments.
• Research institutions seeking collaborative applied studies and policy translation.

If you have a question, share project details for a tailored quote. Contact us via the contact form, the WhatsApp icon on this page, or email info@researchbureau.co.za.

Core services — full research lifecycle for sustainable agriculture policy

We cover every stage of project design, analysis, and policy translation. Each service is configurable by region, crop/commodity, and target population.

1. Food systems diagnostics and baseline assessments

Establish the current state of food systems using mixed methods to map production, markets, consumption, and governance.

• Household food security and dietary diversity surveys (statistical design, sampling, analysis).
• Market mapping and price dynamics (spatial and seasonal analysis).
• Land use, cropping patterns, and input access assessments.
• Institutional mapping: governance, extension, social protection alignment.

Deliverables: baseline report, georeferenced datasets, interactive maps, policy brief.

2. Vulnerability and risk analysis

Identify who is at risk, why, and when — integrating climate, economic, and socio-political shocks.

• Shock exposure mapping (drought, flood, price volatility).
• Household and livelihood vulnerability indices.
• Food availability vs. utilization risk profiling.

Deliverables: risk heatmaps, vulnerability scorecards, policy recommendations prioritised by feasibility and impact.

3. Value chain and market systems analysis

Assess constraints and opportunities across value chains to improve income, diversification, and food availability.

• Actor mapping and power analysis.
• Cost structures and margins by node.
• Post-harvest loss assessments and reduction strategies.
• Market linkages and contract farming evaluation.

Deliverables: value chain diagnostics, intervention roadmaps, investment cases.

4. Climate-smart and sustainable agriculture assessments

Design policies that reduce emissions, conserve soils, and increase adaptive capacity while protecting livelihoods.

• GHG accounting for farming systems and mitigation potential.
• Soil health and water-use efficiency diagnostics.
• Climate-smart technology adoption feasibility studies.

Deliverables: climate-smart practice portfolios, policy options, monitoring indicators.

5. Nutrition-sensitive agriculture research

Ensure agricultural policy advances dietary quality and reduces malnutrition.

• Pathway analysis linking production to consumption and nutrition outcomes.
• Biofortification, crop diversification, and market interventions evaluation.
• Integration of maternal and child nutrition indicators in agricultural M&E.

Deliverables: nutrition-sensitive policy briefs, programme design templates.

6. Socio-economic and gender analysis

Center inclusive policy design by understanding differentiated impacts across social groups.

• Gender analysis of labor, decision-making, and access to resources.
• Youth livelihoods and migration dynamics in rural systems.
• Equity-focused distributional impact assessments.

Deliverables: equity impact statements, targeted intervention designs, stakeholder engagement plans.

7. Modelling, scenario planning, and forecasting

Translate complex system dynamics into scenarios to inform robust policy under uncertainty.

• Crop modelling and yield projections under climate scenarios.
• Econometric and CGE modelling for policy shock analysis.
• Scenario workshops and participatory futures with stakeholders.

Deliverables: scenario reports, model code and assumptions, policy stress-tests.

8. Geospatial analysis & remote sensing

Use satellite and geospatial data to produce timely, scalable insights.

• Crop classification, area estimation, and yield proxies using remote sensing.
• Deforestation and land-use change monitoring.
• Spatial targeting for emergency feed or programme roll-out.

Deliverables: GIS layers, maps, dashboards, methodological appendices.

9. Monitoring, Evaluation & Learning (MEL)

Measure performance and adapt programs using outcome-level indicators and real-time data systems.

• Indicator selection, baselines, and survey design.
• Mobile data collection and dashboard design.
• Theory of Change and adaptive management frameworks.

Deliverables: MEL frameworks, dashboards, evaluation reports, capacity building packages.

10. Policy briefs, stakeholder engagement & capacity building

Translate evidence into clear options, build consensus, and strengthen institutional capacity to implement change.

• Concise policy briefs with prioritized recommendations and implementation pathways.
• Multi-stakeholder convenings, co-design workshops, and policy labs.
• Trainings for ministries, extension services, and local partners.

Deliverables: policy briefings, workshop materials, training curricula, post-workshop reports.

Methodologies — rigorous, transparent, reproducible

Our methodological toolkit blends quantitative rigour with qualitative depth. We tailor methods to context and policy questions while documenting assumptions and limitations.

• Mixed-methods: integrate household surveys, key informant interviews, and focus groups.
• Experimental and quasi-experimental designs: RCTs, difference-in-differences, propensity-score matching.
• Econometric modelling: panel data analysis, spatial econometrics, demand-supply modelling.
• Systems approaches: causal loop diagrams, system dynamics, agent-based models.
• Participatory methods: community mapping, Delphi panels, stakeholder scorecards.

We adhere to ethical research standards, data protection practices, and open-reproducibility where appropriate.

Data sources & tools we use

We combine primary field data with secondary and geospatial datasets to enrich analysis.

• Primary data: household surveys (quantitative), KIIs, FGDs, facility assessments.
• Secondary data: national statistics, DHS, LSMS, FAOSTAT, market price series.
• Geospatial: Sentinel, Landsat, MODIS, OpenStreetMap.
• Tools and software: R, Python, QGIS, ArcGIS, STATA, Tableau, Power BI, KoBoToolbox.

We provide datasets with metadata, documented code for analyses, and visual assets tailored for policy audiences.

Examples & mini case studies (representative)

Below are anonymized, representative project condensed examples to illustrate how our work informs policy.

Example A — Seasonal Hunger Early Warning for a drought-prone region

Challenge: Recurrent seasonal food shortages with delayed emergency response.

Approach: Combined satellite-based vegetation indices, market price monitoring, and household food-consumption surveys to produce a monthly early-warning dashboard.

Outcome: The dashboard enabled local authorities to pre-position targeted food assistance and adjust cash transfer top-ups, reducing emergency procurement costs and minimizing nutrition deterioration.

Example B — Value chain upgrade for smallholder legumes

Challenge: Low farmer incomes and high post-harvest losses in legume value chain.

Approach: Value chain analysis identified storage, processing, and market access bottlenecks. Piloted low-cost hermetic storage and farmer aggregation with contract farming clauses.

Outcome: Post-harvest losses fell by an estimated 30%, farm-gate prices increased through collective marketing, and a scalable training module was adopted by an agricultural extension agency.

Example C — Nutrition-sensitive policy integration

Challenge: Agricultural subsidies increased calorie production but had limited impact on child nutrition.

Approach: Pathway analysis and household consumption studies linking subsidy beneficiaries to dietary changes. Recommendations included re-targeted subsidies for nutrient-rich crops and conditional support for women-led groups.

Outcome: Policy revisions incorporated nutritional outcome indicators and reoriented a portion of subsidy funding to nutrient-dense crops, supported by a monitoring plan.

Deliverables you can expect

We design outputs for decision-makers who need clear, actionable evidence. Typical deliverables include:

• Executive summary and policy brief (2–4 pages) for ministers and senior officials.
• Full technical report with methods, data, code, and appendices.
• Geo-referenced datasets and maps with metadata.
• Interactive dashboards and visualization packs.
• Workshop materials, training curricula, and post-workshop synthesis.
• MEL frameworks and baseline datasets for ongoing monitoring.

All deliverables include an implementation-ready recommendations section that prioritises interventions by cost, feasibility, equity, and expected impact.

Pricing & packages — flexible to scope and context

We structure engagements to fit timelines, budgets, and desired depth. Below is a comparison of standard packages; bespoke quotes are provided once we review your project details.

Package	Typical duration	Scope highlights	Ideal for
Basic Research Package	6–8 weeks	Rapid baseline, targeted household survey, policy brief, 1 workshop	Short-term policy decisions, rapid diagnostics
Standard Analysis Package	3–4 months	Baseline + vulnerability analysis, value chain assessment, GIS mapping, dashboard	Medium projects requiring multi-sectoral analysis
Premium Policy Package	6–12 months	Full food systems assessment, modelling & scenarios, pilot design, MEL set-up, multi-stakeholder co-design	National strategies, donor-funded programs, scaling pilots

Note: Prices depend on geographic scope, sample sizes, logistical complexity, and stakeholder engagement intensity. Share your project brief to receive a tailored proposal and quote.

How we engage — streamlined, collaborative process

We follow a structured, transparent engagement process to ensure timely delivery and stakeholder ownership.

1. Discovery & proposal
   • Share your objectives and constraints; we provide a scoped proposal and cost estimate.
2. Inception & co-design
   • Joint inception workshop to finalise methods, sampling, and outputs.
3. Fieldwork & data collection
   • Supervisory protocols, quality control, and interim dashboards for real-time insights.
4. Analysis & synthesis
   • Iterative analysis with draft outputs shared for stakeholder review.
5. Policy translation & dissemination
   • Policy briefs, stakeholder workshops, public dashboards, and media-ready summaries.
6. Follow-up & MEL
   • Establish monitoring systems and handover of data, code, and training.

We assign a dedicated project manager to each engagement and maintain regular status updates.

Key performance indicators & impact metrics

We align research outputs with measurable policy outcomes. Common KPIs we track:

• Reduction in seasonal food insecurity prevalence (percent change).
• Change in average dietary diversity score among target households.
• Reduction in post-harvest loss rates and improved farmer incomes.
• Number of policy recommendations adopted within 12 months.
• Cost per tonne of food security improvement (for investment cases).
• GHG reduction potential for climate-smart practices (CO2e estimates).

We support baseline and follow-up measurement to quantify impacts and improve accountability.

Why choose Research Bureau

• Multidisciplinary expertise: Our team combines senior social scientists, agronomists, GIS specialists, and policy analysts with hands-on field experience.
• Policy-grade outputs: We prioritise clarity, feasibility, and implementation pathways in every report.
• Ethical, transparent research: We document methodologies, make datasets available when appropriate, and adhere to data protection and consent standards.
• Practical focus: We design recommendations that are politically and financially realistic, facilitating uptake by ministries and implementing partners.
• Capacity strengthening: Beyond reports, we build institutional capabilities to sustain long-term impact.

If you’d like references or examples of previous anonymised projects, share your requirements and we’ll include relevant case summaries.

Frequently asked questions

Q: How long does a typical assignment take?
A: Timelines vary: rapid diagnostics can take 6–8 weeks, while comprehensive national studies run 6–12 months. We’ll propose a detailed schedule in the inception phase.

Q: Can you work with limited data or weak administrative systems?
A: Yes. We combine remote sensing, targeted primary data collection, and local knowledge to produce robust insights even in data-poor contexts.

Q: Do you provide training for local partners?
A: Absolutely. Training and capacity transfer are core components. We design bespoke workshops and hands-on training in data collection, GIS, and MEL.

Q: Will you share raw data and code?
A: Where confidentiality and funder agreements permit, we provide cleaned datasets, metadata, and reproducible code. Data-sharing terms are agreed during contracting.

Q: Do you implement programs or only provide research and policy advice?
A: Our focus is research, analysis, and policy design. We support pilot design and monitoring but do not directly provide ongoing program implementation services that require licensing. We can partner with implementing agencies for roll-outs.

Q: How do you ensure stakeholder buy-in?
A: Through participatory methods, co-design workshops, and iterative sharing of interim findings to ensure research reflects local realities and priorities.

Delivering results: sample timeline for a Standard Analysis Package

• Week 0–2: Project kick-off, inception workshop, finalise tools and sampling.
• Week 3–8: Field data collection, market monitoring, and remote sensing processing.
• Week 9–12: Analysis, modelling, and drafting of technical report.
• Week 13: Policy brief, stakeholder workshop, and final deliverables handover.

Timelines will be adjusted for seasonality, remoteness, and stakeholder calendars.

Transparent procurement & contracting

We operate with clear scopes of work, milestone-based payments, and deliverable sign-offs. Contracts include:

• Detailed methodology annex.
• Data protection and confidentiality clause.
• Intellectual property and data ownership provisions.
• Quality assurance and dispute resolution mechanisms.

Request our standard Terms of Reference and contracting template when you share your project brief.

Get started — request a tailored proposal

Share a short project brief (objectives, geography, timeline, budget range, and key stakeholders) and we will:

• Provide a scoped proposal with methodologies and budgets.
• Suggest a realistic timeline and deliverables.
• Identify required permissions, ethical clearances, and local partner needs.

Contact us via the contact form on this page, click the WhatsApp icon, or email info@researchbureau.co.za. Provide as much detail as possible — we’ll follow up with clarifying questions and a draft proposal.

Checklist for a strong project brief (share these with us for a faster quote)

• Geographic scope (country, provinces, districts).
• Target population and sample frames.
• Key policy questions or hypotheses.
• Available datasets and partner contacts.
• Approximate budget and preferred timeline.
• Intended audiences and delivery formats.

Including these items accelerates scoping and improves quote accuracy.

Ethical commitments & data protection

We prioritise participants’ safety, consent, and data security. Our practices include:

• Informed consent protocols and anonymisation of personal data.
• Secure data storage and controlled access.
• Compliance with applicable national data laws and funder requirements.
• Ethical review and approvals for research involving human subjects.

We can adapt data handling procedures to meet specific fiduciary or legal requirements.

Contact & next steps

Ready to design food security policies that are equitable, resilient, and evidence-based? Share your brief or contact us for an initial consultation.

• Email: info@researchbureau.co.za
• Contact form: use the form on this page to upload briefs or project notes.
• WhatsApp: click the WhatsApp icon for quick queries and to schedule a call.

We respond to inquiries with an initial scoping note within 48 business hours. Share your project details today and get a tailored proposal to strengthen food security through sustainable agriculture policy.