In the SEIA framework developed by Deep Blue, socio-economic impact assessment evolves into a true design guide: it integrates social, economic and environmental impacts throughout the entire innovation lifecycle, engaging stakeholders and supporting more sustainable decision-making over time.
SEIA for sustainable innovation
Innovation alone is not enough: it becomes an end in itself unless it generates tangible benefits for people, the economy and the environment. SEIA — Socio-Economic Impact Assessment — was developed to measure these effects. The tool originated in the fields of international cooperation and public policy in response to a very concrete need: assessing the effects of funded projects on territories and communities. Today, however, within the broader perspective of sustainable development, SEIA is also entering the world of technological innovation. It is no coincidence that Europe has begun — more or less explicitly — to require this type of assessment in projects funded through its research and development programmes.
Technically, SEIA is a methodology that analyses a project’s effects across three main dimensions:
- Social: inclusion, behaviours, wellbeing
- Economic: productive systems, investment, employment
- Environmental: natural resources, emissions, biodiversity
“It is a multidimensional tool that helps embed innovation in the contexts where it is intended to take hold,” explains sociologist Mara Marzella, Senior Consultant at Deep Blue. “Traditionally, the assessment is carried out ex post, by comparing the initial and final situations to understand whether the actions undertaken and the results achieved have generated positive effects.” Conceived and applied in this way, however, SEIA remains a “static” tool, limited to assessment alone.
What if it became an integral part of the research process?
Deep Blue’s SEIA framework
Turning impact assessment into a design “compass” is the path taken by Deep Blue. The company has developed its own SEIA methodology, which it is already applying in several projects, mainly in the energy sector. “As we have conceived and developed it, ‘our’ SEIA accompanies a project through all its phases by means of continuous dialogue with stakeholders: not only partners, but also beneficiaries, meaning those who are affected by a project even if they are not directly involved in it,” Marzella continues. “In this way, it steers activities towards the desired impacts, allowing them to be adjusted along the way in order to mitigate critical issues and maximise benefits. At the same time, this shared process generates knowledge and awareness, enabling a better understanding of the context and emerging trends from the outset.”
This marks an important paradigm shift: rather than working in the hope that positive impact will occur, impact is designed, built, monitored and assessed through a more dynamic and flexible process. One that is centred on people. “The key element is the shared identification of the indicators that matter. Stakeholders define them from the very beginning: they specify which impacts they want to observe, which socio-economic dimensions they want to focus on and, consequently, which aspects should be monitored throughout the project. This is precisely what makes the framework particularly interesting: SEIA adapts to the analytical needs of those involved,” says Rebecca Hueting, Lead Consultant at Deep Blue.
In REFORMERS, a project exploring innovative models of energy valleys for light industry and technology hubs, in which Deep Blue is a partner, the new framework is proving especially useful for integrating technical and socio-economic data. “In REFORMERS, we are working in a relatively new field, one that even stakeholders do not yet fully understand,” Hueting explains. “The objectives are clear, but how they will develop — and what consequences they may generate over time — is much less so. Involving local communities, technical partners and regional actors helps define future developments and, in turn, guide the design of energy systems towards solutions that are not only efficient, but also acceptable and inclusive.”
The approach therefore combines technical expertise with social sciences, whose role is to analyse and deepen understanding of the context in which innovation is to be embedded. “Otherwise, innovation risks being perfect on paper — technically sound and effective — but unusable in practice because it may intensify inequalities, fail to generate savings or fall short of the expected reductions in pollution. When it accompanies every phase of a project, SEIA’s interdisciplinary approach helps make innovation sustainable, and therefore concrete,” Hueting adds.
Moreover, the more a process is shared and rooted in its context — by involving stakeholders, generating knowledge and transferring skills — the more likely its benefits are to endure. “One of the challenges in ‘designing’ innovation is precisely that of measuring its impact over the long term,” says Marzella. “It is not enough to look at what happens over the three to five years of a project’s duration. The key question is how sustainable that action will be, and what value it will continue to generate in the future. This means working with projections, which become all the more credible the more participatory the process is.”
SEIA as a policy tool
From this perspective, SEIA does not merely measure impact: it helps strengthen sustainability over time. It makes it possible to identify and correct potential negative effects while a project is still under way, while also building evidence that can inform future decisions. The result is twofold: on the one hand, it provides a more complete view of how a project evolves; on the other, it generates concrete insights for policymaking. “Ultimately, SEIA is also a policy tool: it shifts the focus towards what it really means to invest well — not only in economic terms, but also in terms of responsibility and real-world impact, especially when public resources are involved,” Marzella emphasises.
This approach is closely linked to the concept of agency: people’s capacity to influence processes. Groups that are often marginalised — local communities, end users, less represented categories — are actively involved. The question is not only “what impact do we want to have?”, but also “what are we overlooking?” “This work requires imagination as well as analysis, because the most significant effects are often the least obvious and only emerge through continuous dialogue,” Marzella continues.
One example comes from Di-Hydro, a project involving Deep Blue that focuses on modernising Europe’s hydropower sector, which still relies largely on ageing infrastructure: around 70% of plants are more than 40 years old. The project is developing advanced technological solutions, including Artificial Intelligence-based monitoring systems to manage water flows and improve efficiency. But innovation is not only technical. “A central component concerns environmental and social effects: water quality, biodiversity, the presence of pollutants such as Escherichia coli,” explains Lorenzo Cane, Consultant at Deep Blue. “The issue is that these benefits are not always immediately visible or easy to quantify, especially in a sector accustomed to short-term logics.”
This is where SEIA comes in: it complements economic analysis with a broader assessment of effects over time, including future scenarios and impact “multipliers”. “This makes it possible to go beyond immediate economic returns,” Cane continues. “For instance, emptying a reservoir in summer may be technically advantageous, but it can have negative effects on local tourism. SEIA makes these consequences visible too — consequences that are often overlooked because they are difficult to identify through a purely technical analysis.” This highlights another strength of the framework: its ability to integrate quantitative and qualitative data, while adapting to different stakeholders and audiences.
Beyond numbers: the qualitative dimension of the SEIA framework
The framework developed by Deep Blue prevents impact assessment from being reduced to a purely quantitative exercise. “Looking only at the numbers — how much is invested and how much is gained in return — risks producing an incomplete picture,” Hueting observes. “That is why we also keep the qualitative dimension at the centre, bringing to light aspects that are difficult to capture through statistical indicators: needs and values, inequalities, indirect effects or impacts that may appear secondary. Direct stakeholder involvement from the earliest stages serves precisely this purpose: to surface different, and sometimes conflicting, perspectives, and to make visible impacts that would otherwise remain unseen.”
Data nevertheless remain essential, especially when it comes to guiding investments and decision-making processes. The distinctive feature of Deep Blue’s SEIA, however, is that it places them within a broader perspective that goes beyond a project’s specific objectives. Among the framework’s most operational tools is the so-called social return on investment, which seeks to translate effects into economic value. “It is not a perfect measure, but it helps make benefits more tangible, particularly those experienced by society as a whole. For example, a reduction in emissions may translate into lower healthcare costs or a better quality of life,” Hueting concludes. This approach not only enables projects to be assessed more effectively, but also strengthens their legitimacy, providing institutions and stakeholders with concrete evidence to guide future decisions and local investment.