Report NEP-BIG-2020-08-17

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.

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Other reports in NEP-BIG

The following items were announced in this report:

• Hossain, Md Mahbub & McKyer, E. Lisako J. & Ma, Ping, 2020. "Applications of artificial intelligence technologies on mental health research during COVID-19," SocArXiv w6c9b, Center for Open Science.
• Christopher Rauh, 2019. "Measuring uncertainty at the regional level using newspaper text," Cahiers de recherche 2019-07, Universite de Montreal, Departement de sciences economiques.
• Marta Kłosok & Marcin Chlebus, 2020. "Towards better understanding of complex machine learning models using Explainable Artificial Intelligence (XAI) - case of Credit Scoring modelling," Working Papers 2020-18, Faculty of Economic Sciences, University of Warsaw.
• Gianluca MISURACA & Colin van Noordt, 2020. "AI Watch - Artificial Intelligence in public services: Overview of the use and impact of AI in public services in the EU," JRC Research Reports JRC120399, Joint Research Centre.
• Mateusz Kijewski & Robert Ślepaczuk, 2020. "Predicting prices of S&P500 index using classical methods and recurrent neural networks," Working Papers 2020-27, Faculty of Economic Sciences, University of Warsaw.
• Maciej Wysocki & Robert Ślepaczuk, 2020. "Artificial Neural Networks Performance in WIG20 Index Options Pricing," Working Papers 2020-19, Faculty of Economic Sciences, University of Warsaw.
• Debnath, R. & Darby, S. & Bardhan, R. & Mohaddes, K. & Sunikka-Blank, M., 2020. "Grounded reality meets machine learning: A deep-narrative analysis framework for energy policy research," Cambridge Working Papers in Economics 2062, Faculty of Economics, University of Cambridge.
• Deshpande, Advait, 2020. "The potential influence of machine learning and data science on the future of economics: Overview of highly-cited research," SocArXiv 9nh8g, Center for Open Science.
• Daniel Arribas-Bel & Miquel-Àngel Garcia-López & Elisabet Viladecans-Marsal, 2019. "Building(s and) cities: delineating urban areas with a machine learning algorithm," Working Papers 2019/10, Institut d'Economia de Barcelona (IEB).
• Hannes Mueller & Christopher Rauh, 2019. "The hard problem of prediction for conflict prevention," Cahiers de recherche 2019-02, Universite de Montreal, Departement de sciences economiques.
• Knighton, James & Buchanan, Brian & Guzman, Christian & Elliott, Rebecca & White, Eric & Rahm, Brian, 2020. "Predicting flood insurance claims with hydrologic and socioeconomic demographics via machine learning: exploring the roles of topography, minority populations, and political dissimilarity," LSE Research Online Documents on Economics 105761, London School of Economics and Political Science, LSE Library.
• Jake Anders & Catherine Dilnot & Lindsey Macmillan & Gill Wyness, 2020. "Grade Expectations: How well can we predict future grades based on past performance?," CEPEO Working Paper Series 20-14, UCL Centre for Education Policy and Equalising Opportunities, revised Aug 2020.
• Ariel Lanza & Enrico Bernardini & Ivan Faiella, 2020. "Mind the gap! Machine learning, ESG metrics and sustainable investment," Questioni di Economia e Finanza (Occasional Papers) 561, Bank of Italy, Economic Research and International Relations Area.
• Jaqueson Galimberti & Stefan Pichler & Regina Pleninger, 2020. "Measuring Inequality using Geospatial Data," Working Papers 2020-07, Auckland University of Technology, Department of Economics.
• Maximilian Andres & Lisa Bruttel & Jana Friedrichsen, 2020. "Choosing between explicit cartel formation and tacit collusion – An experiment," CEPA Discussion Papers 19, Center for Economic Policy Analysis.
• Boot, Arnoud & Hoffmann, Peter & Laeven, Luc & Ratnovski, Lev, 2020. "Financial intermediation and technology: What’s old, what’s new?," Working Paper Series 2438, European Central Bank.
• Abay, Kibrom A. & Ibrahim, Hosam, 2020. "Winners and losers from COVID-19: Evidence from Google search data for Egypt," MENA policy notes 8, International Food Policy Research Institute (IFPRI).
• Fraccaroli, Nicolò & Giovannini, Alessandro & Jamet, Jean-Francois, 2020. "Central banks in parliaments: a text analysis of the parliamentary hearings of the Bank of England, the European Central Bank and the Federal Reserve," Working Paper Series 2442, European Central Bank.
• Mishra, Mukesh Kumar, 2020. "Digital Transformation of Public Service and Administration," EconStor Preprints 222522, ZBW - Leibniz Information Centre for Economics.
• Sea Matilda Bez & Henry Chesbrough, 2020. "Competitor Collaboration Before a Crisis," Post-Print hal-02565068, HAL.
• Raj Chetty & John N. Friedman & Michael Stepner & The Opportunity Insights Team, 2020. "The Economic Impacts of COVID-19: Evidence from a New Public Database Built Using Private Sector Data," NBER Working Papers 27431, National Bureau of Economic Research, Inc.
• Gabriela Demarchi & Subervie Julie & Thibault Catry & Isabelle Tritsch, 2020. "Using publicly available remote sensing products to evaluate REDD+ projects in Brazil," CEE-M Working Papers hal-02898225, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
• Gabriela Demarchi & Julie Subervie & Thibault Catry & Isabelle Tritsch, 2020. "Using publicly available remote sensing products to evaluate REDD+ projects in Brazil," Working Papers hal-02898225, HAL.