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Not all innovations fail because of technology. Many fail because systems aren’t ready.
Food system innovation scaling is often discussed as a technical challenge: improve performance, reduce cost, demonstrate impact. But in practice, many promising solutions struggle not because they do not work — but because the systems around them are not prepared to support them.
Across agriculture and food systems, innovations frequently stall at pilot stage. They show scientific promise, attract early interest, and yet never reach meaningful scale. The reasons are rarely technical alone. Instead, they lie in complex combinations of trust, finance, regulation, market design, public acceptance, limited applicability in diverse farming systems, and long-term transition planning.
At Foodsystems.tech, food system innovation scaling is understood as a system-level challenge, not just a technological one. This is why the platform uses Accelerator Scores — a framework that helps identify what could stand in the way of scaling innovation.
What Are Accelerator Scores?
Accelerator Scores indicate how much additional action is required across eight key accelerators of change that indicate how fast an innovation could scale within food systems.
Rather than focusing only on technological readiness, Accelerator Scores highlight system readiness — the social, economic, political, and institutional conditions required for food system innovation scaling.
Each innovation is assessed across eight accelerators, adapted from Herrero et al. (2020):
- Vision & values — building trust among food system actors
- Acceptance — transforming public and stakeholder mindsets
- Responsibility — enabling social license and inclusive dialogue
- Explore & pilot — ensuring stable finance
- Spread cost & risk — designing effective market incentives
- Expectations of support — changing policies and regulations
- Monitor & correct — safeguarding against unintended effects
- How & when — developing realistic transition pathways
A higher Accelerator Score signals a larger gap in that area — meaning greater effort is needed to enable successful food system innovation scaling.
Why Food System Innovation Scaling Is So Difficult
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Scaling innovation in food systems means intervening in deeply interconnected social, ecological, and economic systems.
Even highly effective technologies can struggle to scale when:
- Farmers lack financial security or incentives
- Consumers distrust new production methods or outputs
- Policymakers hesitate to revise regulation
- Markets fail to distribute cost and risk fairly
- Infrastructure cannot support new supply chains
- New solutions cannot reach price-parity with the incumbent system
And these are just a few barriers among many preventing the scaling of climate-aligned food system innovation. Sometimes the conditions happen to be just right for new innovations to surface and scale; but more often than not, they require coordinated change across multiple layers of the system.
Accelerator Scores make these layers visible — showing where conditions might be more favorable, and where systemic barriers might still remain.
Eight Accelerators That Shape Food System Innovation Scaling
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These eight accelerators are adapted from Herrero et al. (2020) and reflect the core system-level conditions required to move innovations from pilots into real-world food system transformation.
Rather than focusing only on technological readiness, they highlight the social, political, economic, and institutional dynamics that shape food system innovation scaling.
1. Vision & Values — Building Trust
Food system innovation scaling depends on broad-based collaboration to develop a shared vision of where food system transitions should be headed — and which pathways should be pursued.
Herrero et al. emphasize that trust emerges through iterative processes involving farmers, industry, policymakers, investors, researchers, and civil society. This ongoing dialogue helps align diverse interests, manage differing expectations, and build consensus around long-term goals. Without this shared direction and trust, innovations struggle to gain legitimacy, political support, and market confidence, limiting their ability to scale.
2. Acceptance — Transforming Mindsets
People hold deeply ingrained biological, psychological, and cultural relationships with food, particularly around ideas of “naturalness.” As a result, the technical effectiveness of an innovation does not guarantee its social acceptance.
This accelerator reflects the need to improve understanding of new technologies, especially when their benefits and risks are not yet widely known. Herrero et al. highlight that acceptance is shaped not only by price and safety, but also by values, beliefs, ethics, and familiarity.
Food system innovation scaling therefore requires transparent communication, public engagement, and learning processes that help build confidence and reduce uncertainty around emerging solutions.
3. Responsibility — Social License & Dialogue
Scaling innovation requires more than acceptance — it requires social license: a broad sense of legitimacy, responsibility, and fairness.
Herrero et al. stress the importance of responsible innovation principles and extensive public dialogue to build this legitimacy. They also highlight that technological uptake depends on practical know-how and learning by doing.
More knowledge-intensive innovations risk excluding actors with limited access to education, training, or infrastructure — particularly smallholder farmers and vendors in low-income contexts. Addressing these equity and capability gaps is critical for inclusive and resilient food system innovation scaling.
4. Explore & Pilot — Ensuring Stable Finance
Food and agricultural technologies often involve physical products, long development cycles, production seasonality, and complex regulation. These characteristics make them poorly suited to conventional venture finance models that prioritize rapid iteration and short-term returns.
Herrero et al. argue that more creative and patient financing solutions are needed to support exploration, piloting, and early deployment. Stable, long-term funding — through public investment, blended finance, innovation accelerators, and mission-driven capital — allows innovators to test solutions under real-world conditions, learn from failure, and refine technologies before large-scale diffusion becomes feasible.
5. Spread Cost & Risk — Market Incentives
The success of transformational innovations depends heavily on how costs, risks, and benefits are distributed across the system. Barriers to innovation and diffusion vary widely depending on technology type, geography, institutional context, and market structure.
This accelerator focuses on designing incentives that reflect these contextual differences. Herrero et al. emphasize the importance of subsidies, tax incentives, public procurement, insurance mechanisms, and pricing externalities to stimulate innovation, lower adoption risks, and encourage diffusion — particularly when innovations deliver public benefits such as climate mitigation, ecosystem restoration, or improved nutrition.
6. Expectations of Support — Policy & Regulation
Expectations about future policy play a decisive role in shaping private and public investment decisions. When investors and innovators believe that supportive regulations, standards, or pricing mechanisms will remain stable over time, they are more likely to commit resources to long-term innovation pathways.
Herrero et al. show how clear and credible policy signals — such as carbon pricing, sustainability standards, or regulatory reform — can create self-reinforcing cycles that accelerate food system innovation scaling. Conversely, policy uncertainty increases risk, discourages investment, and slows system-wide transition.
7. Monitor & Correct — Safeguarding Impacts
Transformational innovations can generate unintended ecological, social, or economic consequences, especially when regulatory frameworks and public understanding are still evolving.
This accelerator emphasizes the need for continuous monitoring, public dialogue, and adaptive governance. Herrero et al. highlight that broad consultation helps legitimize innovation, identify risks early, and prevent unintended harm.
Safeguarding mechanisms ensure that food system innovation scaling delivers long-term benefits rather than shifting burdens across communities, ecosystems, or future generations.
8. How & When — Designing Transition Pathways
Most food system analyses describe what future scenarios could look like, but rarely explain how these changes can realistically be implemented. Herrero et al. define transition pathways as the practical roadmaps that translate ambition into action.
These pathways involve understanding technological impacts, defining science-based targets, estimating transition costs, identifying winners and losers, managing trade-offs, and sequencing change across institutions, markets, and governance systems.
Clear transition planning ensures that food system innovation scaling becomes actionable, coordinated, and politically feasible — rather than remaining trapped in isolated pilots or fragmented efforts.
Why Accelerator Scores Matter for Decision-Makers
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Food system innovation scaling involves strategic choices — about where to invest, what to regulate, and which collaborations to support.
Accelerator Scores offer a diagnostic tool for:
- Researchers, identifying where evidence could support change
- Innovators, understanding whether adoption barriers need to be addressed early
- Funders, evaluating where resources can be best spent to scale impact
- Policymakers, pinpointing where regulatory change could unlock progress
Rather than treating the conditions for all innovations equal, Accelerator Scores help distinguish which constraints matter most — and where intervention is most urgently needed.
Seeing the Whole System, Not Just the Technology
A recurring challenge in food system innovation scaling is narrow problem framing. Focusing only on technical performance overlooks the complex conditions that shape real-world adoption.
By embedding Accelerator Scores into its innovation profiles, Foodsystems.tech helps users see the bigger picture surrounding each innovation — suggesting how social acceptance, finance, markets, and policy might shape outcomes.
This systems-level perspective enables deeper insight into why some innovations succeed while others stall, even when technical readiness appears similar.
Toward Smarter Food System Innovation Scaling
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Transforming global food systems will not be achieved through isolated breakthroughs. It will depend on how innovations move through complex social, economic, and political systems over time.
Accelerator Scores provide a structured way to understand this journey — highlighting the invisible forces that shape food system innovation scaling long before technologies reach farmers, markets, or consumers.
By making these dynamics visible, Foodsystems.tech aims to support more strategic investment, better policy alignment, and stronger collaboration, helping ensure that promising innovations can reach their full potential.
Frequently Asked Questions (FAQ)
What is food system innovation scaling?
Food system innovation scaling refers to the process of expanding promising agricultural and food technologies from early research or pilot projects into widespread, real-world adoption. It involves not only technical performance, but also social acceptance, financial viability, supportive policy frameworks, market incentives, and long-term transition planning.
Effective food system innovation scaling requires coordinated change across research, industry, governance, and society — not just better technology.
Why do many food system innovations fail to scale?
Many food system innovations struggle to scale because they face systemic barriers, not technical limitations. These barriers often include:
- Lack of farmer trust or public acceptance
- Insufficient financing for early-stage deployment
- Regulatory uncertainty
- Weak market incentives
- Limited infrastructure
- Social or ethical concerns
Food system innovation scaling depends on aligning all of these elements, which is why promising solutions often remain stuck at pilot stage.
What are Accelerator Scores in food system innovation?
Accelerator Scores, adapted from the work of Herrero et al. (2020), measure how much additional effort is needed across eight system-level factors that influence food system innovation scaling, including trust, acceptance, finance, policy, markets, and transition pathways.
They help identify where the biggest barriers to scaling exist, allowing innovators, policymakers, and funders to target interventions more strategically, or evaluate their likelihood for success.
How do Accelerator Scores support food system innovation scaling?
Accelerator Scores provide a structured way to diagnose system readiness for innovation adoption. By highlighting gaps in areas such as finance, regulation, and public trust, they help stakeholders understand:
- Why certain innovations might struggle to scale
- Where investment or policy reform could unlock progress
- Which risks require early mitigation
This supports more effective and responsible food system innovation scaling.
Why is trust important for scaling food system innovations?
Trust is a foundational condition for food system transformation. It shapes how farmers, consumers, investors, policymakers, and civil society engage with new solutions — and whether innovations can move beyond pilots into meaningful, long-term impact.
In complex food systems, trust is not static. It is built and rebuilt through transparent communication, inclusive dialogue, realistic expectations, and iterative collaboration.
When trust is high, stakeholders are more willing to experiment, share risk, adapt policies, and invest in uncertain pathways. When trust is low, even technically sound innovations can stall.
Low trust can slow adoption, weaken political commitment, fragment stakeholder collaboration, and increase resistance — particularly for innovations involving genetic engineering, data-driven agriculture, or microbial technologies, where ethical concerns, uncertainty, and power imbalances are more visible.
From a system perspective, trust enables:
- Alignment of expectations between innovators, policymakers, funders, and end users
- Collective ownership of transition pathways, rather than isolated pilot projects
- Adaptive governance, where policies evolve alongside emerging evidence
- Long-term investment confidence, even under uncertainty
In this way, trust does not merely reduce barriers — it actively creates the conditions for coordinated, responsible, and scalable change.
How do policies affect food system innovation scaling?
Policies shape how quickly and responsibly food system innovations can scale by influencing market incentives, regulatory expectations, and risk management.
They help spread costs and risks through incentives and financing mechanisms, provide clear signals of long-term support through stable regulations, and safeguard against unintended impacts through monitoring and adaptive governance.
Together, these policy roles reduce uncertainty, attract investment, and create the conditions for innovations to move from pilots to real-world adoption.
How does Foodsystems.tech support food system innovation scaling?
Foodsystems.tech supports food system innovation scaling by:
- Mapping high-potential innovations
- Applying Accelerator Scores to identify where support for scaling is the most needed
- Visualizing connections through innovation and system maps
- Providing evidence-based insights for decision-making
This multifaceted approach helps stakeholders better understand how innovations interact with economic, social, and environmental dynamics.
