Call for papers: spatial analysis, agent-based models … Rome, July
This article is originally published at https://robertgrantstats.wordpress.com
I am a co-organiser of the International Workshop on Computational Economics and Econometrics, taking place this year on 3-5 July in Rome.
It’s not just about economics but also the connections to statistics, machine learning, and other fields of application where we can all learn new tricks from one another (I can tell you that my invited speaker will be talking about Approximate Bayesian Computation…), and along the way, enjoy some Italian hospitality. Come and join us! And also, submit an abstract! Here’s the details:
“IWcee19 – VII INTERNATIONAL WORKSHOP ON COMPUTATIONAL ECONOMICS AND ECONOMETRICS”.
We kindly ask you to disseminate this call into your network of colleagues and graduate students.
The workshop will be held in Rome, July 3-5, 2019 at the CNR – National Research Council of Italy.
IWcee19 main topic this year will be:
ADVANCES IN SPATIAL ECONOMICS AND ECONOMETRICS: DATA, VISUALIZATION, MODELLING FOR SUSTAINABLE SPATIAL SYSTEMS
Socio-economic systems evolve not only over time, but largely over space. Thus, a proper understanding of social systems’ dynamics, evolution, and sustainability requires locating individual behaviors and their interactions within the space dimension.
Spatially referenced and big space-time data are now increasingly available, thus posing new opportunities for understanding the functioning of social and natural phenomena, and widening the information set for fine-tuning policy actions towards societal Grand Challenges.
The size, complexity, and multifaceted nature of time-space data require new methods and techniques able to learn from data and provide policy makers with clearer policy guidelines.
Reducing data complexity to manageable information, improving data visualization for detecting unpredictable patterns, generalizing causal inference when spatial interactions are pervasive, are just some of the many instances arising from the current intersection between the technology of data collection, the development of advanced computational approaches, and the quest for more informative policy guidance.
IWcee19 aims at exploring these intriguing subjects, by opening the opportunity for interested scientists, practitioners and policy makers to gather, discuss, and present solutions to current and foreseeable new issues related to spatial economics and econometrics.
Papers on the following topics are highly welcome:
o Spatial economics and econometrics
o Regional and urban studies for sustainable growth
o Space-time statistics and geo-statistics
o Mapping and spatial data visualization
o Spatial spillovers and interactions
o New geo-referenced spatial data sources, including those from the social media and the Internet
o Causal statistical modeling when space matters
o Agent-based modelling in spatial contexts
Nonetheless, papers on more general economics and econometrics topics will be considered.
IWcee19 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, Repec
DEADLINE FOR EXTENDED ABSTRACT SUBMISSION: May 15, 2019
WORKSHOP FEE: Students: 100 EUR; Scholars 200 EUR
Please submit your extended abstract (max 1000 words) at: [email protected]
If you have any query or curiosity, please, contact:
Marco De Biase, [email protected]
IWcee19 webpage: https://sites.google.com/view/iwcee19/home
You can find the IWcee18 leaflet at this link:
You can find the IWcee18 leaflet at this link:
Thank you for your kind attention.
SCIENTIFIC COMMITTEE
Giovanni Cerulli, IRCrES – CNR (local organizer)
Emanuela Reale, IRCrES – CNR
Luciano Pietronero, Department of Physics – Sapienza University of Rome
Christopher F. Baum, Department of Economics – Boston College
Antonio Iovanella, Department of Business Engineering – University of Rome Tor Vergata
Giovanna Ferraro, Department of Business Engineering – University of Rome Tor Vergata
Manfred Paier, AIT – Austrian Institute of Technology
Robert Grant – BayesCamp
Eleonora Pierucci, Department of Economics – University of Roma Tre
Roberto Gabriele, Department of Economics and Management – University of Trento
Giuseppe Espa, Department of Economics and Management – University of Trento
Lucio Morettini, IRCrES-CNR
Antonio Zinilli, IRCrES-CNR
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This article is originally published at https://robertgrantstats.wordpress.com
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