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.
Paper on the following topics are highly welcome:
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
Only extended versions of conference papers are being invited for review and publication in IJCEE. No automatic publication is allowed.