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Annual Scientific Seminar on Innovation, Platforms and the Digital Economy

12th March 2020 - 13th March 2020

In March every year, the Florence School of Regulation Communications & Media (FSR C&M), Centre for Media Pluralism and Freedom (CMPF) and Florence Competition Programme (FCP) organise jointly the Annual Scientific Seminar on Innovation, Platforms and the Digital EconomyNow in it’s 10th year, the Seminar brings together a great number of scholars from all over the world and features many prominent keynote speakers in the fields of social sciences, economics, law and media, as well as practitioners.

 The digital economy is fundamentally changing the world in which we live. Innovations linked to the advent of 5G, Internet of Things (IoT), and the Artificial Intelligence (AI) and to the rise of platform economy have a major impact on firms, consumers, and ultimately citizens. Hence, one of the greatest tasks we face today is to develop conceptual frameworks and policies that will prove adequate to the challenges of the Internet-based digital economy and society.
 
The purpose then of the next edition of the Scientific Seminar will be the identification of effective policies, balancing innovation, competition and the protection of fundamental rights.

 

TOPICS

  • The role of IP in fostering innovation
  • Challenges and opportunities related to platform-based economy
  • The role of competition policy in the Digital Economy
  • Electronic communications networks, 5G and IoT
  • Social Media, democracy and fundamental rights

 

KEYNOTE

Joshua Gans is a Professor of Strategic Management and holder of the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship at the Rotman School of Management, University of Toronto (with a cross appointment in the Department of Economics). Since 2013, he has also been Area Coordinator of Strategic Management. Joshua is also Chief Economist of the University of Toronto’s Creative Destruction Lab. Prior to 2011, he was the foundation Professor of Management (Information Economics) at the Melbourne Business School, University of Melbourne and prior to that he was at the School of Economics, University of New South Wales. In 2011, Joshua was a visiting researcher at Microsoft Research (New England). Joshua holds a Ph.D. from Stanford University and an honors degree in economics from the University of Queensland. In 2012, Joshua was appointed as a Research Associate of the NBER in the Productivity, Innovation and Entrepreneurship Program. He has also published Information Wants to be Shared (Harvard Business Review Press, 2012), and The Disruption Dilemma (MIT Press, 2016), and co-edited The Economics of Artificial Intelligence: An Agenda (University of Chicago Press, 2019). His most recent book is Prediction Machines: The Simple Economics of Artificial Intelligence (HBR Press, 2018).

Previous keynotes included Hal Varian, Chief Economist at Google and Daniel Rubinfeld, Professor of Law, NYU School of Law, Emeritus Professor of Law and Economics, UC Berkeley. See below our video interviews with the 2018 and 2019 keynote speakers.

 

 

 

ORGANISING COMMITTEE

Marc Bourreau (Telecom ParisTech), Carlo Cambini (Polytechnic University of Turin), Jorge L. Contreras (University of Utah), Lisa George (Hunter College and the Graduate Center, CUNY), Steffen Hoernig (Nova School of Business and Economics), Sandra Marco Colino (Chinese University of Hong Kong), Juan José Montero (EUI), Giorgio Monti (Tilburg University/EUI), Pier Luigi Parcu (EUI

 

FEES

The cost of participating in the Scientific Seminar is EUR 150. This includes a shuttle bus between the city centre and the venue as well as meals and refreshments. Travel and accommodation costs are to be borne by participants.

 

SUBMISSION

Please submit an extended abstract (at least 8-pages long) or preferably an unpublished paper by Sunday, 15 December 2019

 

SUBMIT HERE

More information on the call for papers.

 

DOWNLOAD CALL FOR PAPERS INFORMATION

 

 

For previous editions of the scientific seminar see the links below: