Interdisciplinary StudiesScientific Data
The Zoltar forecast archive, a tool to standardize and store interdisciplinary prediction research
N. G. Reich, M. Cornell, et al.
Discover Zoltar, a groundbreaking software application and data model for probabilistic predictions, developed by Nicholas G. Reich and his team. This innovative tool aims to standardize and store interdisciplinary prediction research, showcasing its power through a real-time case study on COVID-19 forecasts. Learn how Zoltar addresses the challenges of managing extensive datasets and promotes rigorous forecasting standards.
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