Researcher Database

（Last updated : 2024-01-22 18:02:43）

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SERDULT UWE IMRE

Department / Course College of Information Science and Engineering Department of Information Science and Engineering

Title / Position Professor

Other Affiliations
1.	Graduate School of Information Science and Engineering

Academic background
1.	2004/01 Degree Acquisition	│ University of Zurich, Switzerland │ Dr. phil.
2.	1996/06 Degree Acquisition	│ University of Zurich, Switzerland │ lic. phil. I
3.	～2000/12	Doctorial Course │ Political Science │ Department of Political Science │ University of Zurich │ Completed

Business career
1.	2016/10/01 ～ 2016/10/31	Guest lecturer │ │ Andrassy University, Budapest, Hungary
2.	2015/04/01 ～ 2015/04/30	Guest lecturer │ │ Karl-Franzens University, Graz, Austria
3.	2014/10/01 ～ 2015/03/31	Guest lecturer │ │ Pedagogical University, Krakow, Poland
4.	2010/02/01 ～ 2010/07/31	Lecturer │ Political Science Department │ University of Geneva, Switzerland
5.	2008/01/01 ～ 2013/07/31	Lecturer │ │ MACIS program, ETH Zurich, Switzerland
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Committee and society
1.	2017/01 ～ 2021/01	State Ministry Baden-Württemberg, Stuttgart, Germany Academic Council for Civil Society and Citizen Participation
2.	2011/01 ～ 2015/12	Swiss Academy of Engineering Sciences SATW ICT committee

Research activities
1.		IFIP WG8.5: Information Systems in Public Administration

Subject of research
1.	Internet Voting, e-petition, voting advice applications

Research summary
Digital Democracy Research Ongoing research includes: a) statistical analysis of digital divide and trust in ICT among internet voters using partial least squares structural equation models, b) systematic worldwide assessment of the use of digital signatures for the endorsement of different forms of e-petitions, c) to investigate individual (internet) voter behavior over time with the help of big data techniques for vote registry data, d) to investigate whether the success or failure of election candidates can be related to their respective activities in social media such as Twitter, Facebook, etc. Special attention will be paid to the way how candidates were presented in traditional (online) newspapers in contrast to social media (journal article).

Present specialized field
Human interface and interaction, Web informatics, Service informatics, Politics (Keyword：E-Government, E-Participation, E-Democracy, Social Network Analysis, Digital Social Science)

Books
1.	2021/01/15	The Referendum Experience in Switzerland │ ,pp.203-224 (Sole-authored)
2.	2020/07	Innovations in Information and Communication Science and Technology. Proc. 5th Intl. Workshop IICST2020, Malang, Indonesia, March 9, 2020. │ (Co-authored)
3.	2020/03/01	Recall in Japan as a Measure of Vertical Accountability │ ,pp.95-116 (Co-authored)
4.	2020/02	Special on Survey Methodology: What is the price of going fully online?A mixed-mode sampling experiment on the occasion of the Swiss general elections 2019 │ ,pp.1-30 (Co-authored)
5.	2019/12	FOKUS Aargau Nr. 5: Nationalratswahl vom 20. Oktober 2019 │ ,pp.1-52 (Co-authored)
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Papers
1.	2023/02/16	A Machine Learning Approach to Government Business Process Re-engineering │ IEEE International Conference on Big Data and Smart Computing (BigComp 2023) │ (Co-authored)
2.	2023/01/08	Using Open Government Data to Facilitate the Re-Design of Voting Advice Applications │ Lecture Notes in Computer Science │ 13392,pp.19-34 (Co-authored)
3.	2022/12/28	Text Mining from Party Manifestos to Support the Design of Online Voting Advice Applications │ 2022 9th International Conference on Behavioural and Social Computing (BESC) │ ,pp.1-7 (Co-authored)
4.	2022/11/18	Introducing the DigiPart-Index: mapping and explaining digital political participation on the subnational level in Switzerland │ ICEGOV '22: Proceedings of the 15th International Conference on Theory and Practice of Electronic Governance │ ,pp.229-236 (Co-authored)
5.	2022/09/10	Semantic Segmentation on Smartphone Motion Sensor Data for Road Surface Monitoring │ Procedia Computer Science │ 204,pp.346-353 (Co-authored)
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Academic conference presentation
1.	2023/04/16	The Impact of Voting Advice Applications: Evidence from a randomised field experiment in Japan (80th Annual Midwest Political Science Association Conference)
2.	2020/02/04	What is the price of going fully online? A large-scale sampling experiment on the occasion of the Swiss general elections (Annual Meeting of the Swiss Political Science Association)
3.	2019/09/04	We Know What You Will Do Next Summer: A Deep Learning Approach to Predict Internet Voting With Electoral Register Data (European Symposium Series on Societal Challenges in Computational Science – 2019 Polarization and Radicalization)
4.	2019/03/07	The Ideological Dimension of Response Latency Data: Evidence from Swiss referendum surveys (GOR2019 – 21st General Online Research Conference, 6-8 March 2019)
5.	2018/03/01	Turning the Tables: Investigating Political Stress of Election Candidates as an Explanatory Variable for Online Activity in Social Media (GOR2018 – 20th General Online Research Conference, 28 February to 2 March 2018 (poster))
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Winning science prize
1.	2022/10/07	ICEGOV 2022 Conference Best Paper Award for the Best Research Paper (Introducing the DigiPart-Index: mapping and explaining digital political participation on the subnational level in Switzerland)
2.	2019/03/25	EGOV-CeDem-ePart Conference 2019 Best Paper Nomination for the most compelling, critical research reflection (Reconnecting Citizens to Politics via Blockchain: Starting the Debate)

Activity in society
1.	2020/09/01 ～	Advisory Board Member, PIT Solutions
2.	2018/11/01 ～	Academic Advisor, Procivis Think Tank
3.	2014/09/01 ～	Academic Evaluator, Pontifica Universidad Católica del Peru

Message
1.	Research Statement Within the field digital democracy I am especially interested in the analysis of internet based platforms and tools for citizens (e-participation) as well as public administrations (e-government) in order to enhance transparency and deliberation in an information society.

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External Researcher ID
ORCID ID
0000-0002-2383-3158
Researcher ID
GS ID: HHgfdOsAAAAJ