ORAU: Then & Now
ORAU: Then & Now is an excellent resource to explore how our people, programs, and partnerships are driving meaningful impact, serving our nation, and enhancing global competitiveness in areas such as STEM education, workforce solutions, exposure science, health education, disaster preparedness, forensic science, and more.
Discover our rich history, which traces back to the Manhattan Project during World War II, and learn how we continue to address critical national needs in science, health, and education.
Explore how social listening reveals public perceptions of ultra-processed foods and their impact on health. Learn how ORAU experts analyze online conversations to shape effective health communication strategies and drive change toward healthier eating habits.
Discover how ORAU Workforce Solutions leverages AI to enhance recruitment while maintaining the human touch. Chelsea Hill shares insights on hiring trends, specialized STEM talent and career transitions in a rapidly evolving job market.
After 17 years of offering ORAU’s Extreme Classroom Makeover, we’ve learned a thing or two about what keeps teachers from going for it. Whether you’re dreaming of cutting-edge tools or a complete technological transformation, follow these tips to maximize your chances of winning.
The advancement of nuclear technology introduced hazardous challenges, especially to an uneducated workforce. To address the need to promote safe practices ORNL created a series of health physics posters in 1947 that would help instruct and promote a culture of safety.
Learn about the career of Jack Beck, which included overseeing the early years of the Radiation Emergency Assistance Center and Training Site.
ORAU is helping researchers working with genomics, proteomics, clinical data and structural data accelerate discoveries by training them to use the National Institutes of Health (NIH) Common Fund Data Ecosystem (CFDE). ORAU won an NIH contract to create a state-of-the-art virtual training center for this very purpose.
ORAU-Directed Research and Development project focuses on using AI to speed up sample processing to identify chromosomal abnormalities and calculating the total dose of radiation exposure in patients treated for cancer.