Collaboration in River Basin Management: The Great Rivers Project

The health of the world's freshwater ecosystems is fundamental to the health of people, plants and animals around the world. The sustainable use of the world's freshwater resources is recognized as one of the most urgent challenges facing society today. An estimated 1.3 billion people currently lack access to safe drinking water, an issue the United Nations specifically includes in its recently published Millennium Development Goals. IBM is collaborating with The Nature Conservancy and the Center for Sustainability and the Global Environment (SAGE) at the University of Wisconsin, Madison to build a Modeling Collaboration Framework and Decision Support System (DSS) designed to help policy makers and a variety of stakeholders (farmers, fish and wildlife managers, hydropower operators, et al.) to assess, come to consensus, and act on land use decisions representing effective compromises between human use and ecosystem preservation/restoration efforts. Initially focused on Brazil's Paraguay-Parana, China's Yangtze, and the Mississippi Basin in the US, the DSS integrates data and models from a wide variety of environmental sectors, including water balance, water quality, carbon balance, crop production, hydropower, and biodiversity. In this presentation we focus on the collaboration aspects of the DSS. The DSS is an open environment tool that allows scientists, policy makers, politicians, land owners, and anyone who desires to take ownership of their actions in support of the environment to work together to that end. The DSS supports a range of features that empower such a community to collaboratively work together. Supported collaboration mediums include peer reviews, live chat, static comments, and Web 2.0 functionality such as tagging. In addition, we are building a 3-D virtual world component which will allow users to experience and share system results, first-hand. Models and simulation results may be annotated with free-text comments and tags, whether unique or chosen from a predefined tag taxonomy. These comments and tag clouds may be used by the community to filter results and identify models or simulations of interest, e.g, by region, modeling approach, spatiotemporal resolution, etc. Users may discuss methods or results in real-time with a built-in chat feature. Separate user groups may be defined for logical groups of collaboration partners, e.g., expert modelers, land managers, policy makers, school children, or the general public, to optimize the collaboration signal-to-noise ratio for all.