Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics

@article{Macedo2022PracticalSD,
  title={Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics},
  author={M. Macedo and Wyatt Clarke and Eli Lucherini and Tyler Baldwin and Dilermando Queiroz Neto and Rog{\'e}rio de Paula and Subhro Das},
  journal={Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society},
  year={2022}
}
Rapid technological innovation threatens to leave much of the global workforce behind. Today's economy juxtaposes white-hot demand for skilled labor against stagnant employment prospects for workers unprepared to participate in a digital economy. It is a moment of peril and opportunity for every country, with outcomes measured in long-term capital allocation and the life satisfaction of billions of workers. To meet the moment, governments and markets must find ways to quicken the rate at which… 

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