About Us
STRIDE is an innovative training program that provides STEM graduate students with
unique interdisciplinary skills to assist, create, and eventually lead in the translation
of complex data-enabled research into informed decisions and sound policies.
In addition to training in cutting-edge data analytics and visualization, STRIDE includes the trans-disciplinary skills of decision support including science communication, understanding the perspectives of various stakeholders, and translating scientific uncertainty, that are too often not explicitly taught.
This end-to-end training program aims to transcend traditional graduate education by integrating multiple disciplines and novel training elements that span spatial data, advanced visual data analytics, high-performance and data-centric computing, a science discipline, communication including interpersonal skills and modern media, decision making, and relevant internships.
The departments involved are: Applied Math, Biomedical Informatics, Computer Science, Electrical & Computer Engineering (ECE), Ecology & Evolution, Journalism, Marine and Atmospheric Sciences, Public Health, and Technology & Society.
The centers/institutes involved are: IACS, Advanced Energy Research and Technology Center (AERTC), Alda Center for Communicating Science, Center of Excellence in Wireless and Information Technology (CEWIT), Center for Smart Energy Technologies (SET), Center for Visual Computing (CVC), and Center for Inclusive Education (CIE).
STRIDE Presentation
STRIDE Presentation (Powerpoint)
STRIDE ANNUAL REPORTS
SOCIAL MEDIA
STRIDE Facebook page
STRIDE Twitter
Communicating Science
RESEARCH THEMES
Climate Change and Coastal Resilience
Marine Resource Management
Tracking and Targeting Illegal Deforestation
Powering the Smart Grid through Data Infrastructure
STRIDE TRAINEES' SCIENCE COMMUNICATION BLOGS*
Hispanics Guide to STEM Education (Stephanie Taboada)
*Science Communication Blogs are maintained by the individual owners. Content is the property of the blog owner and is not necessarily the opinion of Stony Brook University, National Science Foundation, or the IACS.*
