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Report NEP-BIG-2026-10-12
This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé (Tom Coupe) issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-BIG
The following items were announced in this report:
- Kriesch, Lukas & Losacker, Sebastian, 2026, "A geolocated dataset of German news articles," Papers in Innovation Studies, Lund University, CIRCLE - Centre for Innovation Research, number 2025/4, Sep.
- Kriesch, Lukas & Losacker, Sebastian, 2026, "Tracking the public perception of heat pumps: A sentiment analysis of German news articles," Papers in Innovation Studies, Lund University, CIRCLE - Centre for Innovation Research, number 2025/8, Sep.
- Maya Kodeih & Aliaa Alnaggar & Mucahit Cevik, 2026, "Forecasting Intraday USD/CAD Exchange Rate with News-Derived Monetary-Policy Signals," Papers, arXiv.org, number 2609.32773, Sep.
- Kenneth L. Judd & Karl Schmedders, 2026, "Deep Learning as a Projection Method for Solving Economic Models," NBER Working Papers, National Bureau of Economic Research, Inc, number 35806, Sep.
- Anna B. Schmidt, 2026, "Bayesian Machine Learning Methods For Large Scale Demand Estimation," Papers, arXiv.org, number 2610.08409, Oct.
- Blankespoor, Brian & Dasgupta, Susmita & Wheeler, David, 2026, "Tracking Air Pollution from Space: High-Resolution Daily Estimates for PM2.5, O3, NO2, and CO," Policy Research Working Paper Series, The World Bank, number 11448, Sep.
- Beáta Horváth & Tamás Berki & Lívia Réka Ónozó & Csanád Temesvári, 2026, "Sentiment-based Financial Stress Index for Hungary," MNB Working Papers, Magyar Nemzeti Bank (Central Bank of Hungary), number 2026/3, Jul.