Digital Transformation for Governments

About

Government 3.0 refers to the use of disruptive ICTs (big data and artificial intelligence technologies) in combination with established ICTs (distributed technologies for data storage and service delivery) and the wisdom of crowd (crowd-sourcing and co-creation) towards data-driven and evidence-based decision and policy making.

The topics addressed by the opengov2019 Summer School include a wide span of information and communication technologies and social science issues, covering the whole cycle of decision making under the following thematic areas:

Big and Open Linked Data applications and technologies
Big Open Legal Data services and infrastructures
Machine Learning & Data Mining
Blockchain in e-government
Gamification in e-government
Data-intensive decision making
Personalised Public Services
Open Government & E-Democracy
Social media and web 2.0 platforms and services for governance
Policy modelling and electronic policy deliberation (e-participation)
Artificial Intelligence tools and techniques
Smart Cities
Virtual and Augmented Reality
Mobile and cloud technologies for open and collaborative governance
Interoperable infrastructures: Technical, semantic and organisational interoperability
Voting and polling in the present technology environment, seeking further possibilities

Course leader

Yannis Charalabidis is Associate Professor at the Department of Information and Communication Systems Engineering, University of the Aegean, in Samos, Greece. He is heading the Innovation and Entrepreneurship Unit of the University, designing and managing

Target group

Public Servants, MSc Students on e-Government, PhD Students and Post-docs.

Course aim

The aim of the opengov Summer School is to enable participants' involvement in Open and Collaborative Governance issues and their accompanied technologies with hands-on workshops and discussions around the most prominent technologies of the domain (such as big and open linked data, blockchain, artificial intelligence and machine learning, crowdsourcing mechanisms, policy modelling and simulation, opinion mining and sentiment extraction and visualization), and offer appropriate additional skills towards shaping a successful researcher, a competitive employee and a well-informed public servant.

Fee info