Integrating science and management through collaborative learning and better information management

• Published in: Systems research and behavioral science Vol. 20; no. 2; pp. 107 - 118
• Main Authors: Bosch, O. J. H., Ross, A. H., Beeton, R. J. S.
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 01-03-2003; John Wiley & Sons, Inc; Wiley Periodicals Inc
• Subjects: adaptive management; Behavioural sciences; Case studies; Collaborative learning; Copyright; Education; Environmental impact; Environmental management; Environmental sciences; Human behaviour; Human ecology; Information management; integrating science and management; Knowledge; Knowledge management; Learning; Management science; Natural resources; Operations research; Resource management; School environment; Science; Scientists; Social responsibility; Studies; Systems analysis; systems thinking
• ISSN: 1092-7026; 1099-1743
• DOI: 10.1002/sres.536

Achieving more sustainable land and water use depends on high‐quality information and its improved use. In other words, better linkages are needed between science and management. Since many stakeholders with different relationships to the natural resources are inevitably involved, we suggest that collaborative learning environments and improved information management are prerequisites for integrating science and management. Case studies that deal with resource management issues are presented that illustrate the creation of collaborative learning environments through systems analyses with communities, and an integration of scientific and experiential knowledge of components of the system. This new knowledge needs to be captured and made accessible through innovative information management systems designed collaboratively with users, in forms which fit the users' ‘mental models’ of how their systems work. A model for linking science and resource management more effectively is suggested. This model entails systems thinking in a collaborative learning environment, and processes to help convergence of views and value systems, and make scientists and different kinds of managers aware of their interdependence. Adaptive management provides a mechanism for applying and refining scientists' and managers' knowledge. Copyright © 2003 John Wiley & Sons, Ltd.