CNR-IRCrES,
Institute of Research on
Economic Sustainable Growth

 

University of Rome Tor Vergata
Department of Enterprise Engineering

 


 


 

Deadlines:
Extended abstract: April 30, 2018
Workshop: June 26-28, 2018

 

Venue:
CNR - National Research Council
Rome, Italy

 

Workshop fee:
Students  100 EUR
Scholars   200 EUR

 


Submission by emailing at:

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Registration and info:
www.ircres.cnr.it/index.php/it/iwcee18

https://sites.google.com/view/iwcee18/home

 

 

IWcee18

VI International Workshop on

Computational Economics and Econometrics

 

Rome, June 26-28, 2018
National Research Council of Italy
Research Institute on Sustainable Economic Growth

 

Machine Learning, Artificial Intelligence and Big Data: Methods and New Perspectives for Research and Society

more info: https://sites.google.com/view/iwcee18/home


The last few years have witnessed an unprecedented production and availability of information on many aspects of social and economic life. Huge datasets on people and institutions, detailed spatial and relational data, vast collection of new figures on health-related subjects, data collection from the web and mobile devices, are in an impressive surge.

The related increase in computing power and algorithm development, and the need to “turn information into knowledge”, has promoted a proliferation of new research on the intersection between data science, statistics, computer science and artificial intelligence both at academic and industry level.

The intermingling development of hardware and software solutions is pushing forward the ability to produce sophisticated tangible and intangible artifacts able to learn from experience and/or extract value from data.

How can big data and machine learning revolution help to address societal “big challenges”? How can we improve our capacity to extract “knowledge” form “information”? What specific methods are suitable for addressing thought-provoking research questions in this area of research? How can we reduce uncertainty and increase predictive power within complex socio-economic systems?

IWcee18 aims at attracting papers dealing with previous challenging questions, thus promoting an open scientific debate within the attending community. Papers on (but not limiting to) the following and related subjects are welcome:

  • Big data applications for socio-economic and health big challenges
  • Statistical learning, algorithms, and software development
  • Advanced data visualization
  • Multi-agent systems
  • Predictive analytics and forecasting
  • Computational methods for advanced data management
  • Spatial statistics and econometrics
  • Network science
  • Policy analysis in complex systems

IWcee18 will publish the best papers in a Special Issue of “The International Journal of Computational Economics and Econometrics” (IJCEE).

(http://www.inderscience.com/ijcee). IJCEE is indexed in: Scopus (Elsevier), Emerging Sources Citation Index (Clarivate Analytics), Chartered Association of Business Schools (CABS) Academic Journal Guide

 

 

   

 

 

 




 

 

 

 

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