Dr Markus Luczak-Roesch
Information dynamics in socio-technical systems, machine augmented intelligence, human-agent collectives and social machines, and human factors of information and computing systems
Markus Luczak-Roesch is a Senior Lecturer in Information Systems at the School for Information Management, Victoria Business School, Victoria University of Wellington (NZ). He is also a Visiting Fellow at the Web and Internet Science Group, Electronics and Computer Science, University of Southampton (UK).
A computer scientist by education, Markus asks research questions on the fundamental properties of information in socio-technical systems as well as humans in the information age. He is particularly interested in intelligence rooted in coincidence. A recent activity lined up with Markus’ hypothesis that there is a general way of finding meaningful relationships in coincidence is the development of a reactive, cross-system crowdsourcing engine that lets collective problem solving activities emerge without the need for an a priori composition of a dedicated task or human collective (http://social-computer.org).
Among the information systems Markus is studying are online communities, peer-production as well as crowdsourcing systems, and, most significantly, citizen science platforms. He approaches this space by mixing methods commonly used in Web Science, Data Science, and Computational Social Science.
Markus also developed a research profile on ontology and data life cycle management, semantic text annotation tools as well as Web of Data usage mining.
Before joining Victoria Markus worked as a Senior Research Fellow on the prestigious EPSRC programme grant SOCIAM - The Theory and Practice of Social Machines (http://sociam.org) at the University of Southampton, Electronics and Computer Science (UK, 2013-2016). The SOCIAM project pioneered methods of supporting purposeful human interaction on the World Wide Web, of the kind exemplified by phenomena such as Wikipedia, the Zooniverse citizen science initiative, and digital disaster response using the Ushahidi platform. Before that Markus worked as a Graduate Research Associate position (2008-2010) and then as a Lecturer
(2010-2013) at the Free University of Berlin, Institute for Computer Science (Germany), from which he also holds a diploma (Dipl.-Inform.) and a doctoral degree (Dr. rer. nat.). His teaching in Berlin covered Web-based information systems, Web data and interoperability as well as IT project management and entrepreneurship.
More information: https://markus-luczak.de
Luczak-Roesch, M., Tinati, R., Aljaloud, S., Hall, W. and Shadbolt, N. (2016) A universal socio-technical computing machine. In, 16th International Conference on Web Engineering (ICWE2016), Lugano, CH, 06 – 09 Jun 2016.
Tinati, R., Luczak-Roesch, M., Hall, W. and Shadbolt, N. (2016) More than an edit: using transcendental information cascades to capture hidden structure in Wikipedia. At 25th International World Wide Web Conference, Montreal, Canada, 11 – 15 Apr 2016. ACM (doi:10.1145/2872518.2889401).
Dragan, L., Luczak-Rösch, M., Berendt, B., Simperl, E., Packer, H. and Moureau, L., 2015. A-posteriori provenance-enabled linking of publications and datasets via crowdsourcing. D-Lib Magazine, 21(1), p.2.
Luczak-Roesch, M., Tinati, R., O’Hara, K., & Shadbolt, N. (2015, February). Socio-technical computation. In Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing. ACM.
Luczak-Roesch, M., Tinati, R., Van Kleek, M., & Shadbolt, N. (2015, August). From coincidence to purposeful flow? properties of transcendental information cascades. In Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 (pp. 633-638). ACM.
Tinati, R., Van Kleek, M., Simperl, E., Luczak-Rösch, M., Simpson, R., & Shadbolt, N. (2015, April). Designing for Citizen Data Analysis: A Cross-Sectional Case Study of a Multi-Domain Citizen Science Platform. InProceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 4069-4078). ACM.
Luczak-Rösch, M., Simperl, E., Stadtmüller, S., & Käfer, T. (2014). The role of ontology engineering in linked data publishing and management: An empirical study. International Journal on Semantic Web and Information Systems (IJSWIS), 10(3), 74-91.
Luczak-Roesch, M., Tinati, R., Simperl, E., van Kleek, M., Shadbolt, N. and Simpson, R., 2014, May. Why Won't Aliens Talk to Us? Content and Community Dynamics in Online Citizen Science. In Eighth International AAAI Conference on Weblogs and Social Media.
Simperl, E., & Luczak-Rösch, M. (2014). Collaborative ontology engineering: a survey. The Knowledge Engineering Review, 29(01), 101-131.
Luczak-Rösch, M., & Tolksdorf, R. (2013, May). On the topology of the web of data. In Proceedings of the 24th ACM Conference on Hypertext and Social Media (pp. 253-257). ACM.
Berendt, B., Hollink, L., Hollink, V., Luczak-Rösch, M., Möller, K., & Vallet, D. (2011, May). Usage analysis and the web of data. In ACM SIGIR Forum (Vol. 45, No. 1, pp. 63-69). ACM.
Luczak-Rösch, M., & Heese, R. (2009). Managing ontology lifecycles in corporate settings. In Networked Knowledge-Networked Media (pp. 235-248). Springer Berlin Heidelberg. Tempich, C., Simperl, E., Luczak, M., Studer, R., & Pinto, H. S. (2007). Argumentation-based ontology engineering. IEEE Intelligent Systems, (6), 52-59.