Decentralized Collective Learning for Self-managed Sharing Economies
                        
                        
                            - Submitting institution
 
                            - 
                                The University of Leeds
                                
 
                            
 
                            - Unit of assessment
 
                            - 11 - Computer Science and Informatics
 
                            - Output identifier
 
                            - UOA11-4061
 
                            - Type
 
                            - D - Journal article
 
                                - DOI
 
                                - 
                                        10.1145/3277668
                                
 
                                - Title of journal
 
                                - ACM Transactions on Autonomous and Adaptive Systems
 
                                - Article number
 
                                - -
 
                                - First page
 
                                - 1
 
                                - Volume
 
                                - 13
 
                                - Issue
 
                                - 2
 
                                - ISSN
 
                                - 1556-4665
 
                                - Open access status
 
                                - Deposit exception
 
                            - Month of publication
 
                            - November
 
                            - Year of publication
 
                            - 2018
 
                            - URL
 
                            - 
-                            
 
                            - Supplementary information
 
                            - 
-                            
 
                            - Request cross-referral to
 
                            - -
 
                            - Output has been delayed by COVID-19
 
                            - No
 
                            - COVID-19 affected output statement
 
                            - -
 
                            - Forensic science
 
                            - No
 
                            - Criminology
 
                            - No
 
                            - Interdisciplinary
 
                            - No
 
                            - Number of additional authors
 
                            - 
                                2
                            
 
                            - Research group(s)
 
                            - 
                                        
E - DSS (Distributed Systems and Services)
                             
                                - Citation count
 
                                - 11
 
                            - Proposed double-weighted
 
                            - No
 
                            - Reserve for an output with double weighting
 
                            - No
 
                            - Additional information
 
                            - Both analytical and experimental findings using real-world data from Smart Grid and Smart City pilot projects. Accompanied by open benchmark data (https://doi.org/10.6084/m9.figshare.7806548.v4) and open-source software (https://doi.org/10.6084/m9.figshare.7800701.v1) on which further papers and PhD projects relied (https://doi.org/10.1109/ACSOS49614.2020.00043). An ACM badge was awarded to the TRAPP software (https://doi.org/10.1109/SEAMS.2019.00014) built on top of I-EPOS; an accepted Elsevier book proposal on the topic; several invited talks (https://evangelospournaras.com/research/activities/invited-talks-general-public-talks-tutorials/); a general public talk with a media artist at the Scientifica exhibition; a new MSc course at ETH Zurich (https://tinyurl.com/ETH-MSc) and material used for teaching at LUT Univ. by Pedro Nardelli; several existing/developing collaborations (https://doi.org/10.1109/ACSOS49614.2020.00043)
 
                            - Author contribution statement
 
                            - -
 
                            - Non-English
 
                            - No
 
                            - English abstract
 
                            - -