Call for Papers on Machine Learning, Big Data and Applications in Applied Economics

We invite submissions to a special issue on "Machine Learning and Big Data Applications in Applied Economics", in the journal Applied Economic Perspectives and Policy (AEPP). With this special issue, we aim to extend the evidence based on big data and machine learning (ML) methods across a wide range of academic disciplines and industry sectors, including the agricultural sector, food value chains, and nutrition applications. The editors encourage the use of a diverse range of big data and ML methods for addressing issues like product pricing, trade, food security, forecasting approaches, crop production, and environmental and resource evaluations. We will also consider theoretical studies that provide empirically testable and/or policy-relevant insights. Studies using data from various sources, including household surveys, simulation models, and systematic reviews are welcome.