The stages of the implemented process were as follows:

1. Shared understanding of the current situation in the mountain areas
The discussions within the working groups started from a set of summarized information from the extensive analyses previously conducted, structured by strengths and weaknesses, along with additional synthetic data on the tourism, agriculture, forestry, and wood industry sectors.

2. Selection of the drivers of change
The working groups explored and enriched a list of factors/trends that influence the contextual change toward the 2035 horizon, across various dimensions: social, technological, economic, ecological, geopolitical, and values-based factors.

3. Scenario projection for 2035
Based on thematically grouped change drivers, the working groups envisioned and described the state of mountain areas in 2035 under the influence of these drivers, in the absence of strategic corrective interventions.

4. Identification of aspirations – key values, opportunities, best practices
The groups proposed and debated a series of values and aspirations for the future of mountain areas by 2035, including inspiration from best practices in other countries.

5. Consolidation of aspirations into clear directions for transforming mountain areas
This stage involved grouping aspirations by thematic areas, more clearly articulating the transformation vector, and partially exploring concrete actions that would enable these transformations. The sum of these transformation directions forms the **Vision for mountain areas by 2035**.

6. Roadmapping - includes the set of actions that support progress toward the desirable transformation of the mountain areas, across multiple levels.

7. Priority directions
Participants in the workshops identified the actions perceived as the most impactful and/or urgent in transforming mountain areas.

The project relies on a foresight methodology that involves a number of co-creation workshops with stakeholders in the sector. The workshops engaged participants in a step-by-step process, as follows:

1. Building a common understanding of the current societal/consumer behaviors and attitudes (level of fish and seafood consumption, types of products consumed, preference for local products, expectations regarding traceability, environmental concerns etc.);
2. Assessing the evolution of societal/consumer expectations by 2035 (on the same parameters as above);
3. Mapping the current fishing and aquaculture system, in terms if strengths and weaknesses;
4. Sketching the inertial future scenario of the fishing and aquaculture sector in Romania, meaning the likely scenario for 2035 in the absence of corrective policy interventions;
5. Identifying future opportunities that would allow the system to progress towards more desirable scenarios than the inertial scenario;
6. Collaboratively developing normative scenarios, capitalizing on selected opportunities;
7. Based on the normative scenarios, extracting the main pillars of a future vision for 2035;
8. Describing, in more depth, the vision components;
9. Identifying the areas of transformation that enble achieving the vision;
10. Calibrating strategic objectives for 2030, taking into account the pace of transformation;
11. Identifying governance principles.
    

This foresight study aims to support the design of a robust and adaptable digital competency framework that aligns with the long-term strategic priorities of the public administration in Romania. Additionally, it seeks to ensure the framework remains future-ready, enabling civil servants to navigate digital transformation, deliver citizen-centric services, and address complex policy challenges with agility and innovation.

The foresight methodology utilized horizon scanning and scenarios (both explorative and normative) as essential tools in strategic planning, helping organizations and policymakers navigate uncertainty by exploring various probable and/or desirable futures.

This study focuses on the year 2032, a timeframe suited for structural transformation in public administration, allowing for the development and maturity of complex digital systems.

The scenario-building process was based on inputs developed by the foresight team at Institutul de Prospectiva and was progressively refined through three online working sessions and a final in-person workshop.

The figure below provides a concise overview of the scenario-building steps, followed by a detailed explanation of the characteristics and objectives of each scenario type.