Report NEP-BIG-2022-04-18

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé 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:

• Danielle Whicher & Thomas Rapp, "undated". "The Value of Artificial Intelligence for Healthcare Decision Making: Lessons Learned," Mathematica Policy Research Reports 37f86d4813724d34b235d0728, Mathematica Policy Research.
• Yuxuan Huang & Luiz Fernando Capretz & Danny Ho, 2022. "Machine Learning for Stock Prediction Based on Fundamental Analysis," Papers 2202.05702, arXiv.org.
• Bolte, Jérôme & Le, Tam & Pauwels, Edouard & Silveti-Falls, Antonio, 2022. "Nonsmooth Implicit Differentiation for Machine Learning and Optimization," TSE Working Papers 126768, Toulouse School of Economics (TSE).
• Bolte, Jérôme & Pauwels, Edouard & Silveti-Falls, Antonio & Le, Tam, 2022. "Nonsmooth Implicit Differentiation for Machine Learning and Optimization," TSE Working Papers 22-1314, Toulouse School of Economics (TSE).
• Hamed Hamze Bajgiran & Federico Echenique, 2022. "Closure operators: Complexity and applications to classification and decision-making," Papers 2202.05339, arXiv.org, revised May 2022.
• Wan, Wayne Xinwei & Lindenthal, Thies, 2022. "Towards accountability in machine learning applications: A system-testing approach," ZEW Discussion Papers 22-001, ZEW - Leibniz Centre for European Economic Research.
• Mueller, H. & Rauh, C., 2022. "Using Past Violence and Current News to Predict Changes in Violence," Cambridge Working Papers in Economics 2220, Faculty of Economics, University of Cambridge.
• Beraja, Martin & Yang, David Y. & Yuchtman, Noam, 2021. "Data-intensive innovation and the State: evidence from AI firms in China," LSE Research Online Documents on Economics 114425, London School of Economics and Political Science, LSE Library.
• Roy, Avipsa & Law, Mankin, 2022. "Examining spatial disparities in electric vehicle charging station placements using machine learning," SocArXiv hvw2t, Center for Open Science.
• Ehsan Valavi & Joel Hestness & Marco Iansiti & Newsha Ardalani & Feng Zhu & Karim R. Lakhani, 2022. "Time Dependency, Data Flow, and Competitive Advantage," Papers 2203.09128, arXiv.org.
• Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2022. "Artificial intelligence and firm-level productivity," ZEW Discussion Papers 22-005, ZEW - Leibniz Centre for European Economic Research.
• Wai Weng Lo & Gayan K. Kulatilleke & Mohanad Sarhan & Siamak Layeghy & Marius Portmann, 2022. "Inspection-L: Self-Supervised GNN Node Embeddings for Money Laundering Detection in Bitcoin," Papers 2203.10465, arXiv.org, revised Oct 2022.
• Emmanuel Flachaire & Gilles Hacheme & Sullivan Hu'e & S'ebastien Laurent, 2022. "GAM(L)A: An econometric model for interpretable Machine Learning," Papers 2203.11691, arXiv.org.
• Obradovich, Nick & Özak, Ömer & Martín, Ignacio & Ortuño-Ortín, Ignacio & Awad, Edmond & Cebrián, Manuel & Cuevas, Rubén & Desmet, Klaus & Rahwan, Iyad & Cuevas, Ángel, 2022. "Expanding the Measurement of Culture with a Sample of Two Billion Humans," GLO Discussion Paper Series 1070, Global Labor Organization (GLO).
• Riccardo Righi & Montserrat Lopez-Cobo & Michail Papazoglou & Sofia Samoili & Melisande Cardona & Miguel Vazquez-Prada Baillet & Giuditta De-Prato, 2022. "Academic Offer of Advanced Digital Skills in 2020-21. International Comparison. Focus on Artificial Intelligence, High Performance Computing, Cybersecurity and Data Science," JRC Research Reports JRC128844, Joint Research Centre.
• Bertsch, Christoph & Hull, Isaiah & Zhang, Xin, 2021. "Narrative Fragmentation and the Business Cycle," Working Paper Series 401, Sveriges Riksbank (Central Bank of Sweden).
• Philippe Cotte & Pierre Lagier & Vincent Margot & Christophe Geissler, 2022. "Making use of supercomputers in financial machine learning," Working Papers hal-03590926, HAL.
• Daniel Hopp, 2022. "Performance of long short-term memory artificial neural networks in nowcasting during the COVID-19 crisis," Papers 2203.11872, arXiv.org.
• Gonzalo Ballestero, 2022. "Collusion and Artificial Intelligence: A Computational Experiment with Sequential Pricing Algorithms under Stochastic Costs," Working Papers 118, Red Nacional de Investigadores en Economía (RedNIE).
• Wosnitza, Jan Henrik, 2022. "Calibration alternatives to logistic regression and their potential for transferring the dispersion of discriminatory power into uncertainties of probabilities of default," Discussion Papers 04/2022, Deutsche Bundesbank.
• Schmidt, Sebastian & Kinne, Jan & Lautenbach, Sven & Blaschke, Thomas & Lenz, David & Resch, Bernd, 2022. "Greenwashing in the US metal industry? A novel approach combining SO2 concentrations from satellite data, a plant-level firm database and web text mining," ZEW Discussion Papers 22-006, ZEW - Leibniz Centre for European Economic Research.
• Andrew McKendrick, 2022. "Paying Students to Stay in School," Working Papers 352591296, Lancaster University Management School, Economics Department.
• Srivastava, Aryan & Kalra, Aarushi & Tiwari, Saket, 2022. "A Dataset of Geolocated Villages and Gram Panchayat Election Candidates in Uttar Pradesh," SocArXiv d6w2h, Center for Open Science.