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Vision / Approach
Modeling represents a collective effort and teamwork, with the shared objective of advancing towards the top of the knowledge pyramid. In a cohesive environment, everyone works together to refine raw data into meaningful information, synthesize knowledge, and ultimately, contribute to the wise insights. Each team member plays a crucial role, bringing unique skills and expertise to the table. This dynamic fosters an atmosphere dedicated to delivering actionable knowledge, supporting decisions, and informing policy-making at various levels for a diverse range of stakeholders within the modeling group.
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In this vein, in our Environmental Modelling Group (EMG), we adopt a strategic planning approach for translating our ambitious dreams into actions as well as providing better alignment and coordination of this initiative. This multifaceted approach introduces a range of benefits, including strategic thinking, efficient resources allocation, evaluation internal and external opportunities, teamwork and capacity building, and leadership development. Figure 2 shows the elements of strategic planning which is also known as Strategy Pyramid. So far, we co-defined and drafted our mission and vision as presented in the following. A vision statement is an aspirational description of what it wants to achieve in the future. A good vision statement provides a clear picture of what our group aspires to achieve in the long term. On the other hand, the mission statement is a concise explanation of the group's reason for existence. It describes the group's purpose and its overall intention.
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EMG drafted "vision"
Within five years (2028), EMG will be the NIBIO Environmental Modeling Center which is committed to becoming a nationally recognized leader for top-quality research and consultancy programs in data-driven and environmental decision making in Norway. Our main Areas of activities are:
- Hydrological modeling and analysis
- Ecosystem modelling and assessment
- Developing and evaluating mitigation measures
- Soil, land use and forest modelling
- Socio-ecological modelling and prediction
- Multi-objective optimization and decision making