主讲人：Luciano Pietronero (Sapienza Univ., Roma; and IFC-World Bank, Washington)
Title:The Method of Economic Fitness
Economic Complexity and the Fitness Method represent a new field of research that consists in a radically new methodology. It describes economics as evolutionary process of ecosystems made of industrial and financial technologies that are all globally interconnected. This offers new opportunities to constructively describe technological ecosystems, analyse their structures, understand their internal dynamics, as well as to introduce new metrics. This approach provides a new paradigm for a fundamental economic science based on data and not on ideologies or interpretations. One characteristics is to go from the many parameters of the standard economic analysis to a new methodology with zero parameters. This dimensional reduction is essential for a novel approach to the analysis and forecasting beyond the standard regressions.
The Fitness methodology has been extensively adopted by the IFC-World Bank which has already analysed more than 50 countries and also made various applications in the private sector.
From the matrix of the products which a country produces a suitable iterative algorithm extracts the Fitness of Countries and the Complexity of the Products. The dynamics in the new GDP-Fitness space  opens up to a completely new way for monitoring and forecasting. Then, the taxonomy of products and their evolutionary dynamics is built through machine learning methods. Finally, the same thing is applied to patents and technologies, defining the Technological Fitness. The interrelations between products and technologies are two basic elements that open up the possibility of analysing the core elements of the innovation process.
A particularly interesting fact we will discuss is a new perspective on the fantastic economic growth of China, which has eluded most of the standard methods of analysis for the past twenty years (https://www.quora.com/profile/Godfree-Roberts). We will also consider its potential for further developments.
In a collaboration with IFC-World Bank we have presented a detailed comparison of the GDP forecasting based on the Fitness methodology with the standard IMF forecasting . According to a recent report by Bloomberg Views: The new Fitness method “systematically outperforms standard methods, despite requiring much less data”.
 A. Tacchella, M. Cristelli, G. Caldarelli, A. Gabrielli and L. Pietronero:A New Metrics for Countries’ Fitness and Products’ Complexity, Nature: Scientific Reports, 2-723 (2012); M. Cristelli, A. Gabrielli, A. Tacchella, G. Caldarelli and L. Pietronero:Measuring the Intangibles: A Metrics for the Economic Complexity of Countries and Products, PLOS One Vol. 8, e70726 (2013)
 M. Cristelli, A. Tacchella, L. Pietronero: The Heterogeneous Dynamics of Economic Complexity,PLOS One 10(2): e0117174 (2015) and Nature editorial 2015: http://www.nature.com/news/physicists-make-weather-forecasts-for-economies-1.16963
Luciano Pietronero studied physics in Rome and was a research scientist at Xerox Research in Webster (1974) and Brown Boveri Research Center (CH) 1975-1983. He then moved to Univ. of Groningen (NL), where he was professor of Condensed Matter Theory (1983-87). Since 1987 he is professor of Physics at the University of Rome "Sapienza”. Founder and director of the Institute for Complex Systems of CNR (2004-2014). Broad international experience in academic and industrial enviroments. The scientific activity is of both fundamental and applied nature, with a problem oriented interdisciplinary perspective. Development of novel and original views in all the areas of activity. Leader of a generation of joung scientists who are protagonists of the complexity scene internationally.
In 2008 he received the Fermi Prize (highest award of the Italian Physical Society).
Research interests Condensed Matter Theory; High-temperature superconductivity; Statistical Physics; Fractal Growth; Self-Organized-Criticality; Complex Systems and its interdisciplinary applications. Recent activity in Economic Complexity: