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Report NEP-BIG-2026-03-16
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:
- Grenz, Sabrina & Gregory, Terry & Lehmer, Florian, 2026, "AI-Powered Skill Classification: Mapping Technology Intensity in the German Labor Market," IZA Discussion Papers, IZA Network @ LISER, number 18415, Mar.
- Morteza Ghomi & Samuel Hurtado, 2026, "RAUI: Uncertainty Indicators Built With Artificial Intelligence," Working Papers, Banco de España, number 2609, Mar, DOI: https://doi.org/10.53479/42605.
- Dehao Dai & Ding Ma & Dou Liu & Kerui Geng & Yiqing Wang, 2026, "Beyond Polarity: Multi-Dimensional LLM Sentiment Signals for WTI Crude Oil Futures Return Prediction," Papers, arXiv.org, number 2603.11408, Mar, revised Mar 2026.
- Milos Ciganovic & Federico D'Amario & Massimiliano Tancioni, 2026, "Double Machine Learning for Time Series," Papers, arXiv.org, number 2603.10999, Mar.
- Habibi, Mahyar & Hovy, Dirk & Schwarz, Carlo, 2026, "The Content Moderators Dilemma: Removal of Toxic Content and Distortions to Online Discourse," CAGE Online Working Paper Series, Competitive Advantage in the Global Economy (CAGE), number 793.
- Giménez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2026, "Who Shirks at Work? An Application of Machine Learning to Time Use Data," IZA Discussion Papers, IZA Network @ LISER, number 18432, Mar.
- Yutong Yan & Raphael Tang & Zhenyu Gao & Wenxi Jiang & Yao Lu, 2026, "DatedGPT: Preventing Lookahead Bias in Large Language Models with Time-Aware Pretraining," Papers, arXiv.org, number 2603.11838, Mar.
- Kharazi Sopho & Sala Arianna & Bostelmann Gerrit & Kotseva Bonka, 2026, "Banning Mobile Phones in Schools: A Comprehensive Analysis of Media Coverage Across Countries," JRC Research Reports, Joint Research Centre, number JRC143863, Feb.