Intelligent Systems
Watermark
Watermark

Geoscientists are confronted with the need to evaluate complex information that is of interest to other researchers, as well as potentially useful to non-scientific audiences. Handling the dynamic problem structures, disparate data types, and a broad range of stakeholder perspectives present daunting transdisciplinary challenges.The developing Watermark application devises reusable workflows, and accessible computational tools for connecting data, models, and interactive decision support dashboards.

Watermark (currently under development) is an open-source, interactive workspace to support science-based visualization and decision making. Designed with generalization in mind, Watermark is a flexible platform that allows for data analysis and inclusion of large datasets with an interactive front-end capable of connecting with other applications as well as advanced computing resources. In addition, Watermark offers functionality that streamlines communication with non-technical users for policy, education, or engagement with groups around scientific topics of societal relevance. The technology stack for Watermark was selected with the goal of creating a robust and dynamic modular codebase that can be adjusted to fit many use cases and scale to support usage loads that range between simple data display to complex scientific simulation-based modelling and analytics.

Watermark is intended to streamline how researchers analyze and apply integrated methods to common pool resource problems, such as urban groundwater management. Watermark’s interactive mapping tools and touch-enabled interfaces for interacting with datasets provide a strong suite of utilities to serve individual and group use cases, such as multi-stakeholder meetings. The Watermark infrastructure utilizes a client/server system that provides users with access to spatial and tabular data with low bandwidth requirements. The Watermark approach to federated decision support reflects next generation development for DSS that will streamline accessibility, data fusion, and reusability across case study types and enable application of Environmental Decision Support Systems (EDSS) to integrated system problems.

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