Vincent Homburg is Professor of E-Governance and holder of the ERA Chair of e-Governance and Digital Public Services at the University of Tartu. His research focuses on social dimensions of e-government and the political impact of the development, implementation and use of technology in public governance. He has published articles (among other journals) in International Review of Administrative Sciences, Local Government Studies, Journal of Behavior and Information Technology, Knowledge, Technology and Policy, and Artificial Intelligence and Law. Together with Victor Bekkers, he co-edited The Information Ecology of E-Government, and with the late Christopher Pollitt and Sandra van Thiel, he edited The New Public Management in Europe. His monograph Understanding E-Government was published in 2008.Thomas J. Lampoltshammer is Associate Professor for Information and Communication Technology at the University for Continuing Education Krems, Austria. He also serves as the Co-Head of the Center for E-Governance and the Co-Coordinator of the PhD program “Technology, Innovation, and Cohesive Society”. His research is situated at the intersection of ICT and digital governance in heterogeneous application domains for fostering sustainable development from a multi-sector perspective. He is an active member of the IFIP WGs 8.5 and 5.15. He also regularly reviews established conferences in digital governance, IS, and ICT, such as HICSS, EGOV, or dg.o. He is the co-founding and lead chair of the International Data Science Conference (iDSC) series and the founding track chair of the Digital Society Track at the EGOV conference. Furthermore, he frequently serves as a reviewer and external monitoring expert for the European Commission.Mihkel Solvak is Associate Professor of Technology Research at Johan Skytte Institute of Political Studies and Vice Dean for Research and Development at the Faculty of Social Sciences at the University of Tartu in Estonia. He is currently active as manager and researcher at the Center of IT Impact Studies (CITIS). His research focuses on the usability of machine learning in designing and building pro-active digital services that act as either decision support tools for civil servants or behaviour predicting services to be used in prevention work. He also does research on the diffusion and usage patterns of e-services and electronic elections using process generated log data analysis, sensor and registry data.
