NOAA's mission to understand and predict environmental changes and manage coastal and marine resources requires a diverse set of data science skills across its scientific, data management and developer workforce. As the data science landscape evolves rapidly, NOAA faces the critical challenge of continuously equipping its staff with relevant skills. This session invites presentations across NOAA to explore how different programs are responding to these needs through innovative upskilling, training strategies, inter-departmental collaborations or academic partnerships. Presenters are encouraged to share insights into building a workforce agile enough to adapt to rapid change, fostering partnerships with educational institutions, and developing training programs that maintain NOAA’s cutting-edge scientific capabilities.
We are particularly looking for talks and presentations that touch on data science workforce development and training activities in these areas: Transition to Cloud Infrastructure, Transition to Cloud-Native Data and Distributed Data Systems, New Data Access and Sharing Models, Statistical Analysis and Geospatial Analysis, Machine Learning and AI, Modeling and Simulation.
I have been involved in training in statistics and ocean data computing for most of my career. I am currently lead of NMFS Open Science and in this role, I facilitate and run trainings in computing, data access and statistics for NOAA Fisheries. I am co-lead of the Inter-agency... Read More →
Recovering academic...in my previous life I studied organizational (social) networks, R&D, and innovation. Since then, I have been exploring big data, cloud computing, and knowledge graphs.
