Frontier technologies, such as Artificial Intelligence (AI), Internet of Things (IoT), Distributed Ledgers Technologies (DLT), and Blockchain can be the drivers of dramatic changes in the public sector, affecting all domains and administration levels, both at the back- and front-office level. They may support and promote the vision of a data-driven, intelligent, personalised, ubiquitous, and efficient government and society that provides services of unparalleled quality to citizens and businesses. Their application in public administration promises “disruptive improvements” concerning the availability, efficiency, security, interoperability, and openness of digital public services in several areas. Within this context, this Track aims at discussing opportunities and challenges, emerging practices, policies, innovative approaches, “dark” aspects and risks that may raise negative consequences, case studies, and more theoretical contributions concerning the adoption of frontier digital technologies that may shape future governments and societies. Possible applications and repercussions of the application of frontier technologies in governance are also included within the scope of this Track.
#1 - The implementation of new public governance trough Blockchain - a Delphi-based analysis | Maik Brinkmann (University of Potsdam, Germany); Moreen Heine (University of Luebeck, Germany)
#2 - Blockchain in healthcare: practical applications and level of readiness of Portugal as a case study | Carla Rebelo, Frederica Martins, Beatriz Rodrigues (University of Minho, Portugal)[withdrawn]#3 - The adoption of Artificial Intelligence in the public sector in Europe: drivers, features, and impacts | Rony Medaglia (Copenhagen Business School, Denmark); Luca Tangi (Politecnico di Milano, Italy)
#4 - Stance Trees: a novel approach for assessing politically polarized issues in Twitter | Gabriela Diaz, Carlos Chesñevar, Elsa Estevez, Ana Maguitman (Universidad Nacional del Sur, Argentina)
#5 - Blockchain in healthcare: healthcare Blockchain applications case study | Luís Lopes, Diogo Cepa, José Carvalho (University of Minho, Portugal)[withdrawn]#6 - An exploratory diagnosis of Artificial Intelligence risks for a responsible governance | Sónia Teixeira (INESC TEC, Portugal); José Rodrigues, João Gama (University of Porto, Portugal); Bruno Veloso (Portucalense University, Portugal)
