Data Science for the Public Good has two training components—materials and training opportunities for Extension Specialists and the communities they serve, and a hands-on 10-week summer project for undergraduate and graduate fellows that includes a two-week data skills training camp.
Educational opportunities for Extension Specialists and others will cover a broad range of high-level topics in data science, presented alongside examples showing the utility and practice of data science. In-depth coding and mathematics will be left to other venues. Instead, conceptual overviews will:
Topics will include various data formats, methods in machine learning and statistics, databases and storage, data visualizations, common tools, project management, and more.
Additionally, an online Knowledge Portal will provide information in these topics in an accessible format for the general public.
Undergraduate and graduate fellows selected to contribute to community-driven projects will be provided a two-week training course in data analysis and programming, with further training throughout the summer in more specialized areas. Topics will be geared toward the needs of projects, but a number of areas are commonly needed:
More specialized topics needed by projects may include geospatial data analysis, time series data, statistical methods, machine learning techniques, or others.
Training and mentoring will be provided by DSPG personnel and Graduate Student project mentors.
children starting in grade school today who will wind up in a job that doesn't exist yet.
OSU Data Science for the Public Good engages with community members, OSU faculty, OSU Graduate students, OSU Extension, and undergraduate fellows from around the state to solve problems and gain insights from data of interest to rural Oregon.
Through the lens of data and technology, DSPG students will learn to integrate data and methods to:
