Monica is being honored in Category 3: Using Innovation, Data, and Breaking Down Organizational Barriers for pioneering the use of artificial intelligence and cloud technology to strengthen workforce coordination at National Oceanic and Atmospheric Administration's (NOAA) National Weather Service (NWS). Recognizing that fragmented spreadsheets, disconnected files, and manual coordination slowed the deployment of forecasters during critical events, Monica led a cross-functional team to develop an AI-powered scheduling solution that helps NWS quickly match the right expertise with the areas that need it most.

​

The new tool automatically generates scheduling recommendations based on forecaster availability, skills, and location, enabling coordination across geographic and organizational boundaries. Built with an intuitive interface and scalable cloud architecture, the platform provides a foundation for future machine learning capabilities that can improve recommendations by learning from previous deployments. By automating time-consuming administrative work while keeping managers in control of final decisions, Monica has demonstrated how emerging technology can enhance operations without losing the essential human element.

 

The impact directly supports the National Weather Service's life-saving mission. Faster, data-driven scheduling allows NWS to deploy qualified forecasters more efficiently during severe weather, disasters, and major national events, when timely staffing decisions can help protect lives and property. The solution also reduces manual workloads and unnecessary coordination meetings, allowing forecasters and managers to devote more time to mission-critical responsibilities while supporting workforce balance. Through innovation and cross-functional collaboration, Monica has created a scalable model for a more agile, connected, and responsive National Weather Service.