Today’s digital economy is blurring the boundaries between computer science and economics — in Silicon Valley, on Wall Street, and increasingly on university campuses. Yale undergraduates interested ...

The Machine Learning in Economics Summer Conference will be held at the University of Chicago on August 11–12, 2025. MLESC brings together researchers working at the intersection of machine learning ...

Learning from the past is critical for shaping the future, especially when it comes to economic policymaking. Building upon the current methods in the application of Reinforcement Learning (RL) to the ...

Deep learning neural networks, exemplified by models like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) and Generative Adversarial Networks (GANs), have achieved remarkable ...

The ongoing revolution in artificial intelligence, especially deep learning, is transforming research across many fields, including economics. Its impact is particularly strong in solving equilibrium ...

How should we measure the accuracy of predictions? If the weather forecast calls for a 10% chance of rain, and it rains, was that a bad forecast? How would you explain what a "good forecast" is to a ...

This is a preview. Log in through your library . Abstract Computational methods are required to solve problems without closed-form solutions in environmental and resource economics. Efficiency, ...

Arts-based methods can significantly enhance leadership education and better prepare students to address the major societal ...