Artificial Intelligence (AI), Internet of Things (IoT) and associated methods and tools support the vision of a data-driven, intelligent, personalised, ubiquitous government that can provide services of unparalleled quality to citizens and businesses. Bots, automation agents, self-learning systems, sensors, wearable devices, beacons and associated applications, individually or combined, can be the drivers of dramatic changes in the public sector, affecting all sectors and levels of administration, both at the back- and front-office. Within this context, this track aims at discussing opportunities and challenges, emerging practices, innovative approaches, case studies and more theoretical contributions that may shape future governments and societies.
#1 - An IoT Application Case Study to Optimize Electricity Consumption in Government Sector by Teofilo Teixeira Branco, Junior, Ilka M Kawashita, Filipe de Sá-Soares and Claudio Monteiro
#2 - Recommendations for Artificial Intelligence Implementation in African Governments: Results from Researchers and Practitioners of AI/ML by Tupokigwe Isagah and Albogast Musabila
#3 - The Use of AI in Public Services: Results from a Preliminary Mapping Across the EU by Gianluca Misuraca, Colin van Noordt and Anys Boukli
#4 - Analysing National AI Strategies Using NLP Techniques by Theodoros Papadopoulos
#5 - Macao Government Fights the COVID-19 Epidemics with the Help of E-Government and Big Data by Lue Li
#6 - Building the Right AI Governance Model in Oman by Halah Al Zadjali
#7 - Identifying the Public Interest in COVID-19 Contact Tracing Apps in Switzerland Based on Online Search Behavior by Christoph Glauser, Loris Schmid and Mascha Kurpicz-Briki