Abstract: Historically, societal challenges have been handled as complicated ones by dividing responsibilities into various organizations that are then mandated to provide needed solutions and services from their own perspective. It has also defined the enterprise architecture that has had a tendency to mimic organizational structures and their responsibilities. Today, modern societies are facing complex challenges, such as climate change, that can’t be solved without a paradigm shift of problem-solving. It also challenges information systems capabilities to co-operate in a cross-sectoral manner. Advances in ICT and its adaptation and penetration rate in every part of society introduce new possibilities that can only be benefitted in full by providing more integrated information systems. Moreover, the level of citizens’ expectations has raised due to other systems that liberally connect data from different sources. To meet new goals, societal services should become more proactive and personalized, satisfying citizens’ needs as they emerge. In this paper, we propose using a holistic model of digital twin paradigm for societal applications. The proposal builds on using a citizen 360-data model that reflects the characteristics of citizens that act as service users. Based on the data model, societal information systems can propose actions and provide proactive services that are mass-tailored to meet individuals’ needs.

Speakers: Tommi Mikkonen & Aleksi Kopponen

Affiliations: Professor of Computer Science, Helsinki University & Special Advisor of Digitalization, Ministry of Finance

Machine Learning Coffee Seminar is organized weekly by the Finnish Center for Artificial Intelligence FCAI. The location alternates between Aalto University and the University of Helsinki.