The aspiration of many data organizations that fund seed projects, including the USGS Community for Data Integration, is to support integrated, reusable, and sustainable tools and data. This year, the CDI funded several projects under the theme of risk assessment and hazard vulnerability, with the goal of coordinating and integrating the outputs. Project teams will meet during this breakout session, which occurs midway through the funding period, to report on progress, learn from each other, and coordinate to optimize their outputs. The selected projects are improving accessibility to drought modeling, hazards and assets data (for example, invasive species, landslides, and infrastructure data), and tools for knowledge extraction and data documentation. Integrating data and resources on hazards and assets improves our ability to assess strategic risk, predict future hazards impact, and realize the socioeconomic value of earth science data.
Speakers
- Jeanne Jones (USGS) - Community for Data Integration Risk Map Project
- Caitlin Andrews (USGS) - An Interactive Web-based Tool for Anticipating Long-term Drought Risk
- Eric Jones (USGS) - Integrating Disparate Spatial Datasets from Local to National Scale for Open-Access Web-Based Visualization and Analysis: A Case Study Compiling U.S. Landslide Inventories
- Daniel Wieferich (USGS) - Knowledge Extraction Algorithms (KEA): Turning Literature Into Data
- Dennis Walworth (USGS) - Content specifications to enable USGS transition to ISO metadata standard
- Kathy Gerst (USA National Phenology Network) - Workflows to support integrated predictive science capacity: Forecasting invasive species for natural resource planning and risk assessment
