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The modern workforce constantly demands new skills and creates positions dynamically where has typically not been prior formal training. This new dynamic of the workplace are often driven by the ever changing needs of technology positions, but these requirements can be sector agnostic.
We assert there are three challenges to solve for the Future of Work:
1. Democratize access to opportunity - at times, employees perceive they are not eligible or qualified for a position when they would actually be a great candidate. Changing their own perception through workforce education can help them identify a career path they would have otherwise not thought possible or simply overlooked
2. Continuous reskilling of the existing workforce - not long ago jobs such as AI and Cybersecurity were not a mainstream job category and now they are some of the most in demand career paths. A hub for instruction to prepare and train the existing workforce for brand new career paths must exist, and this can be done through online training by the agencies or through public/private partnerships
3. Helping candidates identify their career pathway - show a digital roadmap of what steps job candidates can take to end up in their dream career and show them how to attain this path
The maturation of Artificial Intelligence and Machine Learning as a widespread and mainstream technology has opened the door to allow AI & ML to be a core piece of how employees identify and build careers going forward. For the first time, job candidates can find new career paths they did not even know they can excel in, be trained in those pathways, and grow into new careers that had previously not existed.
Congress established the National Science Foundation (NSF) with the National Science Foundation Act of 1950 “to promote the progress of science; to advance the national health, prosperity and welfare; to secure the national defense; and for other purposes.” With an annual budget of $7.5 billion (fiscal year 2016), NSF funds discovery, learning, innovation and research infrastructure to boost U.S. leadership in all aspects of science, technology, engineering and mathematics (STEM) research and education.