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CfP: Conference on Economic Modeling and Data Science (EcoMod2020) at University of Milano, Italy [July 8-10, 2020]: Submit by Jan 31: Expired

About the Organiser

The University of Milan, or University of Studies of Milan, known colloquially as UniMi or Statale, is a higher education institution in Milan, Italy. It is one of the largest universities in Europe, with about 60,000 students, and a permanent teaching and research staff of about 2,000.

About the Conference

The International Conference on Economic Modeling and Data Science (EcoMod2020) will take place in Milan, Italy on July 8-10, 2020. The conference will be hosted by the Center for European Studies (CefES) and the Department of Economics, Management and Statistics (DEMS) of the University of Milano – Bicocca.

Goal of Conference

The goal of the conference is to promote the exchange of ideas and experience among economists conducting quantitative analysis for policy and decision making in the public and private sectors. The conference will cover all areas of modeling and data science applied to monetary, financial, fiscal, energy, environmental, labor, trade and developmental issues.

Submission Procedure

To submit papers, click here.


The regular registration fee is USD $450.00. An early registration fee of USD $370.00 is available if payment is made by April 27, 2020.
Registration includes:

  • Conference information / documentation
  • Morning and afternoon refreshment breaks
  • Conference lunches
  • Welcome reception
  • Gala dinner

The reduced registration fee for PhD students is USD $290.00. If you want to benefit from the reduced fee, please send a copy of your student card via email to Patricia MacNeil (pat.macneil[at]ecomod.net) upon registration.

Important Dates
  • January 31, 2020: Deadline for Abstract submissions
  • April 27, 2020: Early registration deadline.
  • May 24, 2020: Deadline for uploading the full version of the accepted papers.
  • May 24, 2020: Deadline for registration for the presenters.
For more details, click here.

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