pyForTraCC is a Python library developed for identifying, tracking, and forecasting clusters in diverse datasets. Its modular structure enables flexible integration, supporting user-defined ...

The Polymarket Forecasting Simulator follows Nate Silver's approach to real-world modeling with modular forecast components, statistical rigor, and a library of reusable utilities. Each forecast ...

Google DeepMind and Google Research today announced WeatherNext 2 as its “most advanced and efficient forecasting model.” Notably, it’s helping power forecasts in Google’s consumer apps, including ...

JEFF KEARNS is on the staff of Finance & Development. Opinions expressed in articles and other materials are those of the authors; they do not necessarily reflect IMF policy. Giannone, D., L. Reichlin ...

Will the world still need economists in 2030? With skin in the game, we certainly hope so — but artificial intelligence is already transforming economic analysis. In our own work — and in a review of ...

Storm Agnes is seen over the Bay of Biscay offshore western Europe on 27 September 2023 in this image captured by the Flexible Combined Imager on the Meteosat Third Generation satellite. Credit: ...

Short-term forecasts are used for staffing hospitals and customer service. Medium-term forecasts are used for purchasing supplies and materials. Long-term forecasts are used for strategic ...

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At first glance, forecasting behavior might seem far-fetched—can we really predict how people will act? It's a fair question. But just as we once questioned whether we could reliably predict the ...

Destructive hurricanes. Huge ocean waves. Sandstorms and severe smog. Extreme weather events are becoming increasingly common, piling pressure on communities to prepare for a range of disasters with ...

First, we install three essential libraries: BeautifulSoup4 for parsing HTML content, ipywidgets for creating interactive elements, and pandas for data manipulation and analysis. Running it in your ...