Research Topic
Abstract
Innovation driven circular economics and technological transitions. A special emphasis will be given to composite indicators based on Multiple Criteria Decision Aiding methods. On the subsjct see Greco, S., Ishizaka, A., Tasiou, M., & Torrisi, G. (2019). On the methodological framework of composite indices: A review of the issues of weighting, aggregation, and robustness. Social indicators research, 141, 61-94.
Keywords
artificial intelligence
digital transition
Economic ESG Impact Assessments
Environment
machine learning
ERC sector(s)
PE Physical Sciences and Engineering
SH Social Sciences and Humanities
Host Researcher Info
Name Surname
Salvatore Greco
E-mail
salgreco@unict.it
Name of Department/Faculty/School
Department of Economics and Management
EUNICE University
University of Catania (UNICT)
Country
Italy
EUNICE contact e-mail
eunice@unict.it
Mobility additional info
Thesis mode
On-site
Start date
Call deadline
Link to the call
Length of the research internship
12 months
Financial support available (other than E+)
Yes
Applicant (Student) info
Current position at home university
Master student
Minimal language knowledge requisite
English B2