What extended risk-benefit mappings reveal about people’s hopes and concerns
Most debates around biotechnology start with lists of risks and benefits. On paper, these lists look neutral and manageable. In real life, they collide with people’s values, emotions and lived experience. That is where trust can be quietly built or quickly lost.
B-Trust uses extended risk-benefit mappings to bridge that gap. Instead of treating risk as a purely technical concept, the project looks at how different actors perceive risks and benefits in concrete biotech cases and how this shapes their trust, acceptance and, ultimately, market uptake.
Extended risk-benefit mappings turn static risk and benefit lists into living maps of hopes, fears and responsibilities.
At the starting line, each biotech case is analysed through a literature-based risk–benefit mapping. This covers scientific aspects related to health, safety and the environment, as well as socio-economic dimensions. By combining risks and benefits with an analysis of who is most affected and who has the most influence, we can prioritise which actors to involve. These mappings are then translated into plain language so that farmers, consumers and civil society organisations can actually work with them, not just be informed about them.
The “extended” part comes when these literature-based risk-benefit mappings are taken into conversation. First it is decided what kind of engagement makes sense for each case. For some groups, a co-creation workshop is the right format. For others, such as e.g. environmental NGOs or umbrella organisations for organic farmers, in-depth interviews are more appropriate because they already hold strong public positions. Thus, through consumer and other stakeholder co-creation sessions and in-depth interviews, B-Trust listens to how different actors talk about each case. This includes what they hope the technology can solve, what they fear might go wrong, who they think will benefit and who they believe carries the risk.
In a session on climate-resilient crops, for example, some participants initially framed the technology mainly as a tool to protect yields under extreme weather. As the conversation evolved, new concerns surfaced around seed dependence, local biodiversity and the role of big players in the value chain. For regulators or funding agencies, these are not side notes. They are early warning signals of potential trust barriers.
Similarly, in work around precision fermentation (cell factories) and cultured cells used for food applications, discussions did not stop at food safety or nutritional content. Participants raised questions about cultural habits, the future of livestock farmers and the visibility of production processes. These elements now sit alongside scientific risks in the extended risk-benefit mappings, showing a fuller picture of what is really at stake for different groups.
From a governance perspective, this matters. Extended risk-benefit mappings help identify where information alone will not solve a trust issue, where distribution of responsibilities is unclear or where past negative experiences with technology are likely to resurface and adjustments in policy and legislation should be considered.
For policymakers, regulators and risk governance communities involved in assessing, managing and communicating technological risks, the lesson is straightforward. If Europe wants biotechnology that is both safe and trusted, it is not enough to certify products and publish technical risk assessments. Governance frameworks need tools that systematically capture how people understand and feel about risks and benefits, and that use this intelligence to design better dialogues, regulations and funding programmes.
Risk-benefit mappings are one of those tools. In B-Trust, they are already helping partners move from static risk lists to real conversations, where trust barriers can be named early and addressed together rather than discovered too late in a public backlash.
By Sofía Ros (Cluster FOOD+i), B-Trust communication lead
The article was prepared in close collaboration with the authors of B-Trust deliverables D1.2, D1.3 and D2.1, including Mattia Forni and Harshita Thakare (LAMA) and Veerle Rijckaert and Charlotte Boone (Alice down the rabbit hole).
This article builds on publicly available B-Trust deliverables, in particular D1.3 Finetuned co-creation methodology, D1.2 MEL Report (M12) and D2.1 Outline of co-creation trajectories.
From risks to real conversations: How B-Trust maps trust barriers in biotechnology
What extended risk-benefit mappings reveal about people’s hopes and concerns
Most debates around biotechnology start with lists of risks and benefits. On paper, these lists look neutral and manageable. In real life, they collide with people’s values, emotions and lived experience. That is where trust can be quietly built or quickly lost.
B-Trust uses extended risk-benefit mappings to bridge that gap. Instead of treating risk as a purely technical concept, the project looks at how different actors perceive risks and benefits in concrete biotech cases and how this shapes their trust, acceptance and, ultimately, market uptake.
Extended risk-benefit mappings turn static risk and benefit lists into living maps of hopes, fears and responsibilities.
At the starting line, each biotech case is analysed through a literature-based risk–benefit mapping. This covers scientific aspects related to health, safety and the environment, as well as socio-economic dimensions. By combining risks and benefits with an analysis of who is most affected and who has the most influence, we can prioritise which actors to involve. These mappings are then translated into plain language so that farmers, consumers and civil society organisations can actually work with them, not just be informed about them.
The “extended” part comes when these literature-based risk-benefit mappings are taken into conversation. First it is decided what kind of engagement makes sense for each case. For some groups, a co-creation workshop is the right format. For others, such as e.g. environmental NGOs or umbrella organisations for organic farmers, in-depth interviews are more appropriate because they already hold strong public positions. Thus, through consumer and other stakeholder co-creation sessions and in-depth interviews, B-Trust listens to how different actors talk about each case. This includes what they hope the technology can solve, what they fear might go wrong, who they think will benefit and who they believe carries the risk.
In a session on climate-resilient crops, for example, some participants initially framed the technology mainly as a tool to protect yields under extreme weather. As the conversation evolved, new concerns surfaced around seed dependence, local biodiversity and the role of big players in the value chain. For regulators or funding agencies, these are not side notes. They are early warning signals of potential trust barriers.
Similarly, in work around precision fermentation (cell factories) and cultured cells used for food applications, discussions did not stop at food safety or nutritional content. Participants raised questions about cultural habits, the future of livestock farmers and the visibility of production processes. These elements now sit alongside scientific risks in the extended risk-benefit mappings, showing a fuller picture of what is really at stake for different groups.
From a governance perspective, this matters. Extended risk-benefit mappings help identify where information alone will not solve a trust issue, where distribution of responsibilities is unclear or where past negative experiences with technology are likely to resurface and adjustments in policy and legislation should be considered.
For policymakers, regulators and risk governance communities involved in assessing, managing and communicating technological risks, the lesson is straightforward. If Europe wants biotechnology that is both safe and trusted, it is not enough to certify products and publish technical risk assessments. Governance frameworks need tools that systematically capture how people understand and feel about risks and benefits, and that use this intelligence to design better dialogues, regulations and funding programmes.
Risk-benefit mappings are one of those tools. In B-Trust, they are already helping partners move from static risk lists to real conversations, where trust barriers can be named early and addressed together rather than discovered too late in a public backlash.
By Sofía Ros (Cluster FOOD+i), B-Trust communication lead
The article was prepared in close collaboration with the authors of B-Trust deliverables D1.2, D1.3 and D2.1, including Mattia Forni and Harshita Thakare (LAMA) and Veerle Rijckaert and Charlotte Boone (Alice down the rabbit hole).
This article builds on publicly available B-Trust deliverables, in particular D1.3 Finetuned co-creation methodology, D1.2 MEL Report (M12) and D2.1 Outline of co-creation trajectories.
B-Trust
Th B-Trust project aims to develop a transparent governance model that promotes the application of biotechnology in the agri-food and bio-based sectors. This model works towards improving industrial competitiveness and contribute to environmental, economic, and social sustainability, aligning with the UN Sustainable Development Goals.
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