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Francois Lafond
(François Lafond)

Personal Details

First Name:Francois
Middle Name:
Last Name:Lafond
Suffix:
RePEc Short-ID:pla628
https://francoislafond.wordpress.com

Affiliation

Economics
Oxford Martin School
Oxford University

Oxford, United Kingdom
http://www.oxfordmartin.ox.ac.uk/economics

:


RePEc:edi:inoxfuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Kerstin Hotte & Anton Pichler & Franc{c}ois Lafond, 2020. "The rise of science in low-carbon energy technologies," Papers 2004.09959, arXiv.org.
  2. R. Maria del Rio-Chanona & Penny Mealy & Anton Pichler & Francois Lafond & Doyne Farmer, 2020. "Supply and demand shocks in the COVID-19 pandemic: An industry and occupation perspective," Papers 2004.06759, arXiv.org.
  3. Goldin, Ian & Koutroumpis, Pantelis & Lafond, François & Winkler, Julian, 2020. "Why is productivity slowing down?," MPRA Paper 99172, University Library of Munich, Germany.
  4. Anton Pichler & Marco Pangallo & R. Maria del Rio-Chanona & Franc{c}ois Lafond & J. Doyne Farmer, 2020. "Production networks and epidemic spreading: How to restart the UK economy?," Papers 2005.10585, arXiv.org.
  5. Anton Pichler & Franc{c}ois Lafond & J. Doyne Farmer, 2020. "Technological interdependencies predict innovation dynamics," Papers 2003.00580, arXiv.org.
  6. Lafond, Francois & Greenwald, Diana & Farmer, J. Doyne, 2020. "Can stimulating demand drive costs down? World War II as a natural experiment," MPRA Paper 100823, University Library of Munich, Germany.
  7. Jangho Yang & Torsten Heinrich & Julian Winkler & Franc{c}ois Lafond & Pantelis Koutroumpis & J. Doyne Farmer, 2019. "Measuring productivity dispersion: a parametric approach using the L\'{e}vy alpha-stable distribution," Papers 1910.05219, arXiv.org.
  8. Yang, Jangho & Heinrich, Torsten & Winkler, Julian & Lafond, François & Koutroumpis, Pantelis & Farmer, J. Doyne, 2019. "Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution," MPRA Paper 96474, University Library of Munich, Germany.
  9. R. Maria del Rio-Chanona & Penny Mealy & Mariano Beguerisse-D'iaz & Francois Lafond & J. Doyne Farmer, 2019. "Automation and occupational mobility: A data-driven network model," Papers 1906.04086, arXiv.org, revised Feb 2020.
  10. Franc{c}ois Lafond & Aimee Gotway Bailey & Jan David Bakker & Dylan Rebois & Rubina Zadourian & Patrick McSharry & J. Doyne Farmer, 2017. "How well do experience curves predict technological progress? A method for making distributional forecasts," Papers 1703.05979, arXiv.org, revised Sep 2017.
  11. Rupert Way & Franc{c}ois Lafond & Fabrizio Lillo & Valentyn Panchenko & J. Doyne Farmer, 2017. "Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves," Papers 1705.03423, arXiv.org, revised Aug 2018.
  12. Francois Lafond & Daniel Kim, 2017. "Long-run dynamics of the U.S. patent classification system," Papers 1703.02104, arXiv.org, revised Sep 2018.
  13. J. Doyne Farmer & Francois Lafond, 2015. "How predictable is technological progress?," Papers 1502.05274, arXiv.org, revised Nov 2015.
  14. Lafond, F., 2014. "The size of patent categories: USPTO 1976-2006," MERIT Working Papers 2014-060, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  15. Lafond, Francois D., 2013. "Self-organization of knowledge economies," MERIT Working Papers 2013-040, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  16. Lafond, Francois, 2012. "Learning and the structure of citation networks," MERIT Working Papers 2012-071, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

Articles

  1. Mariani, Manuel Sebastian & Medo, Matúš & Lafond, François, 2019. "Early identification of important patents: Design and validation of citation network metrics," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 644-654.
  2. Way, Rupert & Lafond, François & Lillo, Fabrizio & Panchenko, Valentyn & Farmer, J. Doyne, 2019. "Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 211-238.
  3. François Lafond & Daniel Kim, 2019. "Long-run dynamics of the U.S. patent classification system," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 631-664, April.
  4. Lafond, François & Bailey, Aimee Gotway & Bakker, Jan David & Rebois, Dylan & Zadourian, Rubina & McSharry, Patrick & Farmer, J. Doyne, 2018. "How well do experience curves predict technological progress? A method for making distributional forecasts," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 104-117.
  5. Farmer, J. Doyne & Lafond, François, 2016. "How predictable is technological progress?," Research Policy, Elsevier, vol. 45(3), pages 647-665.
  6. Lafond, François, 2015. "Self-organization of knowledge economies," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 150-165.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. R. Maria del Rio-Chanona & Penny Mealy & Anton Pichler & Francois Lafond & Doyne Farmer, 2020. "Supply and demand shocks in the COVID-19 pandemic: An industry and occupation perspective," Papers 2004.06759, arXiv.org.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Economic consequences > Production and supply
  2. Anton Pichler & Marco Pangallo & R. Maria del Rio-Chanona & Franc{c}ois Lafond & J. Doyne Farmer, 2020. "Production networks and epidemic spreading: How to restart the UK economy?," Papers 2005.10585, arXiv.org.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Economic consequences > Production and supply

Working papers

  1. R. Maria del Rio-Chanona & Penny Mealy & Anton Pichler & Francois Lafond & Doyne Farmer, 2020. "Supply and demand shocks in the COVID-19 pandemic: An industry and occupation perspective," Papers 2004.06759, arXiv.org.

    Cited by:

    1. Pedro Brinca & Joao B. Duarte & Miguel Faria-e-Castro, 2020. "Measuring Sectoral Supply and Demand Shocks during COVID-19," Working Papers 2020-011, Federal Reserve Bank of St. Louis, revised Jul 2020.
    2. Dhruv Sharma & Jean-Philippe Bouchaud & Stanislao Gualdi & Marco Tarzia & Francesco Zamponi, 2020. "V-, U-, L-, or W-shaped recovery after COVID? Insights from an Agent Based Model," Papers 2006.08469, arXiv.org, revised Jul 2020.
    3. Naudé, Wim, 2020. "Entrepreneurial Recovery from COVID-19: Decentralization, Democratization, Demand, Distribution, and Demography," IZA Discussion Papers 13436, Institute of Labor Economics (IZA).

  2. Anton Pichler & Franc{c}ois Lafond & J. Doyne Farmer, 2020. "Technological interdependencies predict innovation dynamics," Papers 2003.00580, arXiv.org.

    Cited by:

    1. Kerstin Hotte & Anton Pichler & Franc{c}ois Lafond, 2020. "The rise of science in low-carbon energy technologies," Papers 2004.09959, arXiv.org.

  3. Jangho Yang & Torsten Heinrich & Julian Winkler & Franc{c}ois Lafond & Pantelis Koutroumpis & J. Doyne Farmer, 2019. "Measuring productivity dispersion: a parametric approach using the L\'{e}vy alpha-stable distribution," Papers 1910.05219, arXiv.org.

    Cited by:

    1. Goldin, Ian & Koutroumpis, Pantelis & Lafond, François & Winkler, Julian, 2020. "Why is productivity slowing down?," MPRA Paper 99172, University Library of Munich, Germany.

  4. Yang, Jangho & Heinrich, Torsten & Winkler, Julian & Lafond, François & Koutroumpis, Pantelis & Farmer, J. Doyne, 2019. "Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution," MPRA Paper 96474, University Library of Munich, Germany.

    Cited by:

    1. Goldin, Ian & Koutroumpis, Pantelis & Lafond, François & Winkler, Julian, 2020. "Why is productivity slowing down?," MPRA Paper 99172, University Library of Munich, Germany.

  5. Franc{c}ois Lafond & Aimee Gotway Bailey & Jan David Bakker & Dylan Rebois & Rubina Zadourian & Patrick McSharry & J. Doyne Farmer, 2017. "How well do experience curves predict technological progress? A method for making distributional forecasts," Papers 1703.05979, arXiv.org, revised Sep 2017.

    Cited by:

    1. Elizabeth Baldwin & Yongyang Cai & Karlygash Kuralbayeva, 2018. "To Build or not to Build? Capital Stocks and Climate Policy," OxCarre Working Papers 204, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
    2. Way, Rupert & Lafond, François & Lillo, Fabrizio & Panchenko, Valentyn & Farmer, J. Doyne, 2019. "Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 211-238.
    3. Baldwin, Elizabeth & Cai, Yongyang & Kuralbayeva, Karlygash, 2020. "To build or not to build? Capital stocks and climate policy∗," Journal of Environmental Economics and Management, Elsevier, vol. 100(C).

  6. Rupert Way & Franc{c}ois Lafond & Fabrizio Lillo & Valentyn Panchenko & J. Doyne Farmer, 2017. "Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves," Papers 1705.03423, arXiv.org, revised Aug 2018.

    Cited by:

    1. Franc{c}ois Lafond & Aimee Gotway Bailey & Jan David Bakker & Dylan Rebois & Rubina Zadourian & Patrick McSharry & J. Doyne Farmer, 2017. "How well do experience curves predict technological progress? A method for making distributional forecasts," Papers 1703.05979, arXiv.org, revised Sep 2017.
    2. Korzinov, Vladimir & Savin, Ivan, 2018. "General Purpose Technologies as an emergent property," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 88-104.
    3. Heinrich, Torsten, 2015. "Growth Cycles, Network Effects, and Intersectoral Dependence: An Agent-Based Model and Simulation Analysis," MPRA Paper 79575, University Library of Munich, Germany, revised 08 Jun 2017.
    4. Cameron Hepburn & Jacquelyn Pless & David Popp, 2018. "Policy Brief—Encouraging Innovation that Protects Environmental Systems: Five Policy Proposals," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 154-169.

  7. Francois Lafond & Daniel Kim, 2017. "Long-run dynamics of the U.S. patent classification system," Papers 1703.02104, arXiv.org, revised Sep 2018.

    Cited by:

    1. Lorenzo Napolitano & Evangelos Evangelou & Emanuele Pugliese & Paolo Zeppini & Graham Room, 2017. "Technology networks: the autocatalytic origins of innovation," Papers 1708.03511, arXiv.org, revised Apr 2018.
    2. Kerstin Hotte & Anton Pichler & Franc{c}ois Lafond, 2020. "The rise of science in low-carbon energy technologies," Papers 2004.09959, arXiv.org.

  8. J. Doyne Farmer & Francois Lafond, 2015. "How predictable is technological progress?," Papers 1502.05274, arXiv.org, revised Nov 2015.

    Cited by:

    1. Tamer Khraisha & Keren Arthur, 2018. "Can we have a general theory of financial innovation processes? A conceptual review," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-27, December.
    2. François Lafond & Daniel Kim, 2019. "Long-run dynamics of the U.S. patent classification system," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 631-664, April.
    3. Martin Kalthaus, 2017. "Identifying technological sub-trajectories in photovoltaic patents," Jena Economic Research Papers 2017-010, Friedrich-Schiller-University Jena.
    4. José L. Torres & Pablo Casas, 2020. "Automation, Automatic Capital Returns, and the Functional Income Distribution," Working Papers 2020-02, Universidad de Málaga, Department of Economic Theory, Málaga Economic Theory Research Center.
    5. Handayani, Kamia & Krozer, Yoram & Filatova, Tatiana, 2019. "From fossil fuels to renewables: An analysis of long-term scenarios considering technological learning," Energy Policy, Elsevier, vol. 127(C), pages 134-146.
    6. Franc{c}ois Lafond & Aimee Gotway Bailey & Jan David Bakker & Dylan Rebois & Rubina Zadourian & Patrick McSharry & J. Doyne Farmer, 2017. "How well do experience curves predict technological progress? A method for making distributional forecasts," Papers 1703.05979, arXiv.org, revised Sep 2017.
    7. Martin Klein & Marc Deissenroth, 2018. "When Do Households Invest in Solar Photovoltaics? An Application of Prospect Theory," Papers 1808.05572, arXiv.org.
    8. Hansen, J.P. & Narbel, P.A. & Aksnes, D.L., 2017. "Limits to growth in the renewable energy sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 769-774.
    9. Krupa, Joel & Harvey, L.D. Danny, 2017. "Renewable electricity finance in the United States: A state-of-the-art review," Energy, Elsevier, vol. 135(C), pages 913-929.
    10. Alexander Coad & Gianluca Biggi & Elisa Giuliani, 2019. "Asbestos, leaded petrol, and other aberrations: Comparing countries’ regulatory responses to disapproved products and technologies," JRC Working Papers on Corporate R&D and Innovation 2019-08, Joint Research Centre (Seville site).
    11. Anuraag Singh & Giorgio Triulzi & Christopher L. Magee, 2020. "Technological improvement rate estimates for all technologies: Use of patent data and an extended domain description," Papers 2004.13919, arXiv.org.
    12. Gregor Semieniuk & Emanuele Campiglio & Jean-Francois Mercure & Ulrich Volz & Neil R. Edwards, 2020. "Low-carbon transition risks for finance," Working Papers 233, Department of Economics, SOAS, University of London, UK.
    13. Rashid Gill, Abid & Viswanathan, Kuperan K. & Hassan, Sallahuddin, 2018. "The Environmental Kuznets Curve (EKC) and the environmental problem of the day," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1636-1642.
    14. Proskuryakova, Liliana N. & Ermolenko, Georgy V., 2019. "The future of Russia’s renewable energy sector: Trends, scenarios and policies," Renewable Energy, Elsevier, vol. 143(C), pages 1670-1686.
    15. Elena Verdolini & Laura Díaz Anadón & Erin Baker & Valentina Bosetti & Lara Aleluia Reis, 2018. "Future Prospects for Energy Technologies: Insights from Expert Elicitations," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 133-153.
    16. Heinrich, Torsten, 2015. "Growth Cycles, Network Effects, and Intersectoral Dependence: An Agent-Based Model and Simulation Analysis," MPRA Paper 79575, University Library of Munich, Germany, revised 08 Jun 2017.
    17. David Newbery & Michael Pollitt & Robert Ritz & Wadim Strielkowski, 2017. "Market design for a high-renewables European electricity system," Working Papers EPRG 1711, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    18. Côme Billard, 2020. "Technology Contagion in Networks," Working Papers 2020.01, FAERE - French Association of Environmental and Resource Economists.
    19. Herche, Wesley, 2017. "Solar energy strategies in the U.S. utility market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 590-595.
    20. ALI, Essossinam, 2018. "Impact of Climate Variability on Staple Food Crops Production in Northern Togo," MPRA Paper 91972, University Library of Munich, Germany, revised 10 Oct 2018.
    21. Heinrich, Torsten, 2016. "The Narrow and the Broad Approach to Evolutionary Modeling in Economics," MPRA Paper 75797, University Library of Munich, Germany.
    22. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    23. Coccia, Mario, 2019. "The theory of technological parasitism for the measurement of the evolution of technology and technological forecasting," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 289-304.
    24. JongRoul Woo & Christopher L. Magee, 2018. "Forecasting the value of battery electric vehicles compared to internal combustion engine vehicles: the influence of driving range and battery technology," Papers 1806.06947, arXiv.org.
    25. Zadourian, Rubina & Klümper, Andreas, 2018. "Exact probability distribution function for the volatility of cumulative production," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 59-66.
    26. David F. Hendry, 2020. "First in, First out: Econometric Modelling of UK Annual CO_2 Emissions, 1860–2017," Economics Papers 2020-W02, Economics Group, Nuffield College, University of Oxford.
    27. Mario Coccia, 2019. "Technological Parasitism," Papers 1901.09073, arXiv.org.
    28. Dosi, Giovanni & Grazzi, Marco & Mathew, Nanditha, 2017. "The cost-quantity relations and the diverse patterns of “learning by doing”: Evidence from India," Research Policy, Elsevier, vol. 46(10), pages 1873-1886.
    29. Vecchiato, Riccardo, 2020. "Analogical reasoning, cognition, and the response to technological change: Lessons from mobile communication," Research Policy, Elsevier, vol. 49(5).
    30. Feng, Sida & Magee, Christopher L., 2020. "Technological development of key domains in electric vehicles: Improvement rates, technology trajectories and key assignees," Applied Energy, Elsevier, vol. 260(C).
    31. Aydin, Erdal & Eichholtz, Piet & Yönder, Erkan, 2018. "The economics of residential solar water heaters in emerging economies: The case of Turkey," Energy Economics, Elsevier, vol. 75(C), pages 285-299.
    32. Kerstin Hotte & Anton Pichler & Franc{c}ois Lafond, 2020. "The rise of science in low-carbon energy technologies," Papers 2004.09959, arXiv.org.
    33. Magee, C.L. & Basnet, S. & Funk, J.L. & Benson, C.L., 2016. "Quantitative empirical trends in technical performance," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 237-246.
    34. Pearce, Phoebe & Slade, Raphael, 2018. "Feed-in tariffs for solar microgeneration: Policy evaluation and capacity projections using a realistic agent-based model," Energy Policy, Elsevier, vol. 116(C), pages 95-111.
    35. Christopher L. Benson & Christopher L. Magee, 2018. "Data-Driven Investment Decision-Making: Applying Moore's Law and S-Curves to Business Strategies," Papers 1805.06339, arXiv.org.
    36. Zhang, Guanglu & McAdams, Daniel A. & Shankar, Venkatesh & Darani, Milad Mohammadi, 2017. "Modeling the evolution of system technology performance when component and system technology performances interact: Commensalism and amensalism," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 116-124.

  9. Lafond, Francois D., 2013. "Self-organization of knowledge economies," MERIT Working Papers 2013-040, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

    Cited by:

    1. Mitri Kitti & Matti Pihlava & Hannu Salonen, 2016. "Search in Networks: The Case of Board Interlocks," Discussion Papers 116, Aboa Centre for Economics.
    2. Orlando Gomes & J. C. Sprott, 2017. "Sentiment-driven limit cycles and chaos," Journal of Evolutionary Economics, Springer, vol. 27(4), pages 729-760, September.

  10. Lafond, Francois, 2012. "Learning and the structure of citation networks," MERIT Working Papers 2012-071, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

    Cited by:

    1. Lafond, François, 2015. "Self-organization of knowledge economies," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 150-165.

Articles

  1. Way, Rupert & Lafond, François & Lillo, Fabrizio & Panchenko, Valentyn & Farmer, J. Doyne, 2019. "Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 211-238.
    See citations under working paper version above.
  2. François Lafond & Daniel Kim, 2019. "Long-run dynamics of the U.S. patent classification system," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 631-664, April.
    See citations under working paper version above.
  3. Lafond, François & Bailey, Aimee Gotway & Bakker, Jan David & Rebois, Dylan & Zadourian, Rubina & McSharry, Patrick & Farmer, J. Doyne, 2018. "How well do experience curves predict technological progress? A method for making distributional forecasts," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 104-117.
    See citations under working paper version above.
  4. Farmer, J. Doyne & Lafond, François, 2016. "How predictable is technological progress?," Research Policy, Elsevier, vol. 45(3), pages 647-665.
    See citations under working paper version above.
  5. Lafond, François, 2015. "Self-organization of knowledge economies," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 150-165.
    See citations under working paper version above.Sorry, no citations of articles recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 12 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-INO: Innovation (5) 2013-09-13 2013-11-29 2014-12-13 2017-03-12 2020-03-16. Author is listed
  2. NEP-TID: Technology & Industrial Dynamics (3) 2019-07-22 2020-04-13 2020-05-04. Author is listed
  3. NEP-CDM: Collective Decision-Making (2) 2013-09-13 2013-11-29
  4. NEP-EFF: Efficiency & Productivity (2) 2019-10-21 2020-04-13
  5. NEP-KNM: Knowledge Management & Knowledge Economy (2) 2013-09-13 2013-11-29
  6. NEP-ECM: Econometrics (1) 2019-10-21
  7. NEP-ENE: Energy Economics (1) 2020-05-04
  8. NEP-ENV: Environmental Economics (1) 2020-05-04
  9. NEP-FOR: Forecasting (1) 2017-03-26
  10. NEP-HIS: Business, Economic & Financial History (1) 2020-07-13
  11. NEP-IPR: Intellectual Property Rights (1) 2014-12-13
  12. NEP-LMA: Labor Markets - Supply, Demand, & Wages (1) 2019-10-21
  13. NEP-MAC: Macroeconomics (1) 2020-04-13
  14. NEP-NET: Network Economics (1) 2013-09-13
  15. NEP-ORE: Operations Research (1) 2020-05-04
  16. NEP-PAY: Payment Systems & Financial Technology (1) 2019-07-22
  17. NEP-REG: Regulation (1) 2020-05-04
  18. NEP-RMG: Risk Management (1) 2017-05-14

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