2.2 Digital transformation of MSP
MSP processes in the North Atlantic region are becoming increasingly data-driven, reflecting a broader shift towards digital transformation (Kraus et al., 2021; Nadkarni & Prügl, 2021; Verhoef et al., 2021). Driven by the need for more efficient, adaptive and integrated marine governance, this shift responds to ambitious climate targets, strengthened conservation policies and increasing demand for ocean resources for both food and energy production (Blæsbjerg et al., 2009). Accordingly, advances in digital technologies support various stages of MSP, from baseline assessments and data analysis to stakeholder engagement and implementation. By generating and processing large volumes of data, digital technologies enable planners to streamline workflows and address growing pressures on marine ecosystems. Consequently, tools like Geographic Information Systems (GIS) and geospatial mapping tools (e.g., Koehn et al., 2013; Meaden, 2009; St. Martin & Hall-Arber, 2008), decision support systems (DSS; e.g., Bonnevie et al., 2022; Power & Sharda, 2009), online geoportals (Davret & Trouillet, 2024), visualisation tools, data infrastructures and, more recently, models utilising artificial intelligence (AI; Andrews et al., 2022) are central to efforts to synthesise various types of ecological and socio-economic data, model future scenarios and enhance transparency and collaboration throughout the planning process.
Within the field of MSP, there is growing recognition of the opportunities that digital tools offer. This is particularly evident in the evolution of mapping activities, with conventional, paper-based methods being replaced by advanced visualisation tools, GIS and interactive mapping platforms to support decision-making (Koehn et al., 2013; St. Martin & Hall-Arber, 2008). Beyond just visualisation, participatory mapping and online consultation platforms are frequently cited as mechanisms that can broaden stakeholder engagement, enhance transparency, improve access to planning processes and democratise information (Koehn et al., 2013). Similarly, decision support systems now enable improved scenario analysis and ex-ante evaluations (Power & Sharda, 2009), while geoportals and data-sharing platforms enhance coordination across jurisdictions and institutional scales (Davret et al., 2024; Gutierrez et al., 2025). Digital twin technologies also show growing potential, offering dynamic, interactive models that integrate diverse data streams to simulate real-world environments (Miedtank et al., 2024; Tzachor et al., 2023). Additionally, although AI is not yet widely applied in MSP, it is gaining attention for its potential to support predictive modelling and long-term scenario planning, particularly through emerging tools such as GeoAI (Andrews et al., 2022; Bakker, 2022; Kitchin, 2014; Wang et al., 2024). In many contexts, these tools have enabled planners to work across local, national and transboundary levels, helping to manage and plan increasingly complex marine environments.
At the same time, digitalisation of MSP processes introduces new challenges and responsibilities. While research shows that digital tools offer new and powerful means for collecting, storing, analysing, visualising and sharing data (Andrews et al., 2022; Kitchin, 2014), findings suggest that the increasingly data-driven nature of planning raises important questions. These include what types of data are included, how they are interpreted, who owns them and whose perspectives they represent. The integration of digital tools therefore requires not only technical capacity but also awareness among planning authorities of how tools and data shape planning.
Moreover, as reliance on digital tools grows, concerns arise about what happens to forms of knowledge that are not typically digitalised, such as the perceptions, experiences and practices of Indigenous and local communities (Gandarillas & McCall, 2023; Pennino et al., 2021). Digitalisation may reinforce power imbalances by prioritising technical and measurable data, while simultaneously creating barriers for those without access to the necessary resources, competence or time to participate effectively in MSP processes (Saunders et al., 2020; Tafon et al., 2022). As such, without deliberate efforts to integrate ILK, these processes risk overlooking local perspectives that are essential for inclusive and context-sensitive planning (Gandarillas & McCall, 2023; Pennino et al., 2021; Said & Trouillet, 2020).
2.3 Indigenous and local knowledge
Local knowledge (LK) is diverse and does not have a single definition, varying in meaning across countries and contexts. Generally, LK is described as the wisdom, skills and understanding that people living in a specific location and community have developed over time through direct interaction with the environment around them. LK is therefore understood to include spatially specific information about the local context, including aspects such as the culture, local demands and needs, politics and functions of the local economy (Loch & Riechers, 2021). While much of the literature frames LK in relation to Indigenous communities, it is important to note that LK also encompasses local communities that do not fall under Indigenous legal frameworks (UNESCO-IOC & UNESCO-LINKS, 2024). In a North Atlantic context, this report therefore recognises that LK includes both Indigenous peoples, such as the Sámi and Inuit, and communities that do not identify as Indigenous or assert Indigenous rights, but which possess specific knowledge of the local environment and practices (e.g. local fishers or citizens).
Over time, LK has been categorised in various ways to reflect differences across disciplines, countries and communities. Common terms include Indigenous and Local Knowledge (ILK), Traditional Ecological Knowledge (TEK), Local Ecological Knowledge (LEK), Fishers’ or Farmers’ Knowledge (FK) and Traditional Knowledge (TK) (see Figure 1). These share the characteristic of generational and cultural transmission of knowledge but differ in the type of knowledge transmitted. FK involves the transfer of experienced-based knowledge, while LEK and TEK focus specifically on local ecosystems and ecological knowledge. In contrast, ILK adopts a holistic approach, encompassing all practices, beliefs and knowledge. Reflecting this diversity, the UN and UNESCO recommend using “Indigenous and Local Knowledge” to acknowledge both Indigenous rights under the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP) and the contributions of other local communities. ILK is described as “holistic, territorialised, diversified and evolving knowledge (…) [that] can flourish within all kinds of long-established communities experiencing histories of interaction with their natural surroundings” (UNESCO-IOC & UNESCO-LINKS, 2024, p.11). Thus, for the purposes of this workshop and report, the term ILK is used. While this definition highlights ILK's holistic and evolving nature, it is also important to recognise that Indigenous and local communities continuously adapt to economic, environmental and social changes, including shifts in population through in- and out-migration, evolving job opportunities and changes in transport and accessibility (Bjarnason, 2021; Heleniak & Gassen, 2020; Hovgaard et al., 2024). Climate change further drives transformations that affect livelihoods, resource use and local practices. These dynamics are evident in specific groups such as fisheries, where many coastal communities have moved from small-scale, locally embedded operations to large-scale commercial practices (Nielsen et al., 2021), reshaping both local economies and the knowledge associated with them. Such ongoing changes continually influence collective understandings of a place, emphasising that ILK is not static but evolves in response to shifting conditions. Defining and applying ILK in MSP therefore necessitates reflection on how to account for these evolving circumstances and the dynamic context in which knowledge is produced (Beaty et al., 2024; Flannery et al., 2017).