Skip to main content

Currently Skimming:

Summary
Pages 1-8

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 1...
... Within these career paths, employees range from highly trained, specialized researchers to technical workers requiring focused operational education and training requirements. The workforce covers issues ranging from military applications to issues of port security, commercial shipping, oil and gas exploration, renewable energy, commercial fisheries, oceanographic research, and other nondefense research.
From page 2...
... The military circle represents ratings or career pathways within the military. The double-sided arrows indicate that military members can pursue continued education while on active duty, leave the military to continue education, or enter the workforce at different levels and also capture civilians entering the military with different degrees/workforce experience.
From page 3...
... for USN to better understand the ocean environment and improve defense capabilities, such as developing and advancing anti-submarine warfare (ASW) during World War I and II and developing sonar.1 The location of acoustics and ocean acoustics courses in higher education institutions changed from physics or more applied mechanical engineering departments to additional departments, including electrical engineering, naval architecture, ocean engineering, oceanography, and others.
From page 4...
... Some technical or support positions remain unfilled because of strict degree requirements that exclude potentially qualified workers who have obtained the necessary skills through either technical training or on-the-job experience. ATTRACTING, RECRUITING, RETAINING, AND DIVERSIFYING THE OCEAN ACOUSTICS WORKFORCE Ocean acoustics faces a special set of challenges in attracting, recruiting, and retaining a diverse workforce because of its interdisciplinary nature, in addition to challenges common to the broader STEM domain.
From page 5...
... Elements relating to the importance of a diverse ocean acoustics workforce were identified across all three gap areas and are discussed in Chapter 5. RECOMMENDATIONS The committee developed 11 recommendations to address the gaps between existing ocean acoustics education and training opportunities and expertise needed to meet current and future workforce demands, including recruiting and retaining a diverse workforce, and identify resources required to support ocean acoustics research and education and recruitment of a diverse workforce.
From page 6...
... Recommendation 6-4: Relevant federal agencies should engage with senior leadership at institutions of higher education to underscore the continued and critical, importance of acoustics programs within their institutions to support both national security and the growing blue economy and to encourage expansion of academic programs, course content and textbooks, and faculty and technical staff recruitment related to ocean acoustics. The next recommendation is related to curriculum and ocean acoustic content in current and future programs.
From page 7...
... and through separate STEM education/training initiatives (education decoupled from specific research grants) that could integrate ocean acoustics into K–12 outreach and teacher professional development programs to increase awareness of ocean acoustics content and career opportunities.
From page 8...
... 8 Ocean Acoustics Education and Expertise ocean acoustics to ensure students receive baseline knowledge and develop the skills required for successful careers. Developing curriculum should include • Integration of opportunities targeting first through third-year undergraduates in science, engineering, and environmental policy to participate in hands-on learning that reinforces ocean acoustics concepts; • Effects of sound and bioacoustics content; • Acoustic propagation and soundscape modeling content; • Artificial intelligence, machine learning, and data science content; • Numerical modeling and analysis supported by high-capacity computing content; • Best practices in scientific computing; and • Data management.


This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More information on Chapter Skim is available.