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Report NEP-BIG-2026-02-16
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:
- Eurydice Fotopoulou & Iyke Maduako & M. Belen Sbrancia & Prachi Srivastava, 2026, "Nowcasting Economic Growth with Machine Learning and Satellite Data," IMF Working Papers, International Monetary Fund, number 2026/020, Jan.
- Yuanhong Wu & Wei Ye & Jingyan Xu & D. Frank Hsu, 2026, "Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis," Papers, arXiv.org, number 2602.00037, Jan, revised Mar 2026.
- Walid Siala & Ahmed Khanfir & Mike Papadakis, 2026, "Impact of LLMs news Sentiment Analysis on Stock Price Movement Prediction," Papers, arXiv.org, number 2602.00086, Jan, revised Mar 2026.
- Simon Deakin & Linda Shuku, 2026, "Exploring Computational Approaches to Law: The Evolution of Judicial Language in the Anglo-Welsh Poor Law, 1691-1834," Working Papers, Centre for Business Research, University of Cambridge, number wp546, Feb.
- M.Jahangir Alam & Shane Boyle & Huiyu Li & Tatevik Sekhposyan, 2026, "ChatMacro: Evaluating Inflation Forecasts of Generative AI," Working Paper Series, Federal Reserve Bank of San Francisco, number 2026-04, Feb, DOI: 10.24148/wp2026-04.
- Esther Bailey & Daniel Fehder & Eric Floyd & Yael Hochberg & Daniel J. Lee, 2026, "Learning to Quit? A Multi-Year, Multi-Site Field Experiment with Innovation-Driven Entrepreneurs," NBER Working Papers, National Bureau of Economic Research, Inc, number 34755, Jan.
- Oskar V{aa}le & Shiliang Zhang & Sabita Maharjan & Gro Kl{ae}boe, 2026, "Exploring the Interpretability of Forecasting Models for Energy Balancing Market," Papers, arXiv.org, number 2602.00049, Jan.
- Anauati, María Victoria & Romero, María Noelia & Baraldi, Lucia & Sosa Escudero, Walter & Tommasi, Mariano, 2026, "Understanding and Predicting Recidivism in Latin America: A Machine Learning Approach," IDB Publications (Working Papers), Inter-American Development Bank, number 14489, Jan, DOI: http://dx.doi.org/10.18235/0013918.
- Kilic, Talip & Letta, Marco & Montalbano, Pierluigi & Petruccelli, Federica, 2026, "CLARE : A Causal machine Learning Approach to Resilience Estimation," Policy Research Working Paper Series, The World Bank, number 11292, Jan.
- Kyle Higham & Hannah Kotula & Emma Scharfmann & Steve Gong & Gaétan de Rassenfosse, 2026, "A dataset of scientific citations in U.S. patent Office Actions," Working Papers, Chair of Science, Technology, and Innovation Policy, number 31, Feb.
- Mayoral, L. & Mueller, H. & Philipp, M. & Rauh, C. & Vassallo, R., 2026, "Semantic Similarity Measures in Newspaper Text for Detecting and Predicting Disruptive Institutional Events," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2609, Jan.
- Brandon Yee & Krishna Sharma, 2026, "Calibrating Behavioral Parameters with Large Language Models," Papers, arXiv.org, number 2602.01022, Feb.
- Felipe A. Csaszar & Aticus Peterson & Daniel Wilde, 2026, "The Strategic Foresight of LLMs: Evidence from a Fully Prospective Venture Tournament," Papers, arXiv.org, number 2602.01684, Feb.
- Carbuccia, Laudine, 2026, "Using decomposition techniques and machine learning to investigate the determinants of socioeconomic inequalities in early childcare access," SocArXiv, Center for Open Science, number kgr67_v1, Jan, DOI: 10.31219/osf.io/kgr67_v1.
- Keywan Christian Rasekhschaffe, 2026, "Generative AI for Stock Selection," Papers, arXiv.org, number 2602.00196, Jan.
- Zhi Yang & Lingfeng Zeng & Fangqi Lou & Qi Qi & Wei Zhang & Zhenyu Wu & Zhenxiong Yu & Jun Han & Zhiheng Jin & Lejie Zhang & Xiaoming Huang & Xiaolong Liang & Zheng Wei & Junbo Zou & Dongpo Cheng & Zh, 2026, "UniFinEval: Towards Unified Evaluation of Financial Multimodal Models across Text, Images and Videos," Papers, arXiv.org, number 2601.22162, Jan.