A science and user community to achieve the vision, and get there faster
The Integrated Modelling Partnership brings together institutions contributing to designing and building a fully integrated information landscape for the science of the future. IM Partnership members are dedicated to a common vision of an open-source, open-data, FAIR implementation of the semantic web, and a path to achieve it. This includes the software and computational infrastructure to allow more powerful predictive modeling, better reuse of scientific data, and better decision making for society.
Partner institutions participate directly in building the vision, knowledge, and tools to support a more efficient, integrated, and democratic scientific process. The four areas of operation of the partnership are: Semantics, Open Data, Open Models, and Software Infrastructure to support transparent application of the FAIR principles for automated modeling. The Integrated Modelling partnership offers its partners:
- High-level collaboration: members design their applications in collaboration with the core staff providing know-how and support, participating in defining the immediate development needs and influencing the prioritization of tasks. Through specific Work Packages (WPs), higher-standing members drive the development of large initiatives in the four areas of operation listed above.
- Ownership: all the products (worldview, software, online courses) are open source/open access and bear the copyright of the partnership with its member institutions.
- Defining strategic direction: each member institution nominates a steering committee member. The steering committee re-evaluates the activities, governance structure and directions of development, collaboratively setting directions of development for the following years.
The partnership does not aim to influence access to IM technology or products. On the contrary, all products of the partnership are and will remain open source; data and model products remain as open as possible, according to privacy requirements. Even when access is restricted due to privacy or other requirements, the partnership will not exchange access to model or data products for money.
Key development targets over the next three years include: 1) polished web and IDE interfaces, 2) workable semantics to link (certain) key interdisciplinary integrative models, 3) working examples of (certain) key interdisciplinary integrative models, taking advantage of machine learning and data-intensive science, and 4) an editor and guidelines on creating branded “palettes” for specific problems/contexts, for tailored products to distribute to their target users.