Labor Market

Labor market research focuses on understanding and predicting talent demand and supply, aiming to improve workforce planning and economic stability. Current research employs various machine learning techniques, including federated learning, topic modeling, and recurrent neural networks, often applied to large datasets from online job postings and other sources to analyze trends and biases. This work is significant for informing policy decisions, improving workforce development strategies, and mitigating the potential negative impacts of technological advancements like AI on employment. Furthermore, research is increasingly focused on addressing biases in existing models and data to promote equitable labor market outcomes.