The outbreak of chronic diseases such as COVID-19 has made a renewed call for providing
urgent healthcare facilities to the citizens across the globe. The recent pandemic exposes …

AI in finance refers to the applications of AI techniques in financial businesses. This area has
attracted attention for decades, with both classic and modern AI techniques applied to …

Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

Climate change is profoundly affecting nearly all aspects of life on earth, including human
societies, economies, and health. Various human activities are responsible for significant …

We discuss the relevance of the recent machine learning (ML) literature for economics and
econometrics. First we discuss the differences in goals, methods, and settings between the …

In the last few years, leading-edge research from information systems, strategic
management, and economics have separately informed our understanding of platforms and …

Recent advances in artificial intelligence are primarily driven by machine learning, a
prediction technology. Prediction is useful because it is an input into decision-making. In …

Driven by 'success stories' reported by private sector firms, government agencies have also
started adopting various Artificial Intelligence (AI) technologies in diverse domains (eg …

Abstract Machine learning (ML) is generating new opportunities for innovative research in
energy economics and finance. We critically review the burgeoning literature dedicated to …

While hypothesis testing is a highly formalized activity, hypothesis generation remains
largely informal. We propose a systematic procedure to generate novel hypotheses about …