Periodic Reporting for period 1 - VECTOR (Vectors to Accessible Critical Raw Material Resources in Sedimentary Basins)
Período documentado: 2022-06-01 hasta 2023-11-30
Practically, VECTOR will create a series of toolkits to: (1) provide a step change in the geological understanding and modeling of the subsurface to locate environmentally and economically viable ore deposits; (2) develop innovative and efficient exploration technologies and methodologies for a minimal environmental and social footprint; (3) enable more human-centered industry practices based on improved understanding of values, socio-economic and demographic factors that may play a role in public responses to mining activities; (4) create a data-driven dissemination programme about CRMs that supports dialogue and informed decision making; and (5) combine geological with social indicators (vectors).
VECTOR aligned the intended work and the latest societal developments and knowledge by shifting from “social acceptance” towards the potential of Shared Values. Shared Value refers to common principles or visions between different stakeholders that, in turn, benefit society as well as companies. VECTOR develops a Shared Value-index, which will result in recommendations on how the potential to create Shared Value can be enhanced. VECTOR also developed an interactive and unique online simulator that visualizes the complex decisions that implementing the Green Deal involves and the role of CRMs.
VECTOR developed workflows to visualize complex geo-models and modify input parameters easily. A new time-resolved modeling of basin-hosted mineral systems helps to delineate areas where mineral deposition likely occurred. VECTOR also investigated new geophysical inversions that can be included directly in geological modeling processes. VECTOR currently improved novel fusion methods for Earth Observation and social data that allow for the joint processing of complex data streams for. We build on these innovative approaches to evaluate a generalization of the shared value index. Key priors, such as geographical, socio-economic factors can be visualized using a front-end interface.