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
I am a Senior Lecturer in Information Systems here at Victoria University of Wellington and also a Visiting Fellow at the Web and Internet Science Group, Electronics and Computer Science, University of Southampton (UK).
My research is broadly focused on the emergent problem solving capabilities of socio-technical systems. While there is a strong emphasis on formally modeling the structure and dynamics of these systems, I am also mixing qualitative and quantitative methods that are commonly used in Web Science and Computational Social Science.
Particular foci of my work are:
- Information dynamics in socio-technical systems: This research area is concerned with formal models of emergent behaviour through the lens of digital traces. I investigate fundamental questions of space and time in information systems as well as collective intelligence that is rooted in coincidence.
- Peer-production communities: This focuses on advancing our understanding of systems in which the activities of human collectives lead to peer-produced outputs. This encompasses widely-known online communities such as Wikipedia and Wikidata, where the outputs are articles, knowledge graphs and ontologies, or citizen science platforms such as Zooniverse and EyeWire, where the outputs are crowdsourced classifications of digital objects and discussions among citizen scientists.
- Humans in the information age: This addresses human factors of information and computing systems such as technical or social exclusion. I am particularly interested in technology that empowers citizens for social good rather than exploits them for economic purposes.
- I co-authored a paper on crowdsourcing named entity recognition that was accepted for publication in the Semantic Web Journal (impact factor: 2.889). Reference: Feyisetan, O., Simperl, E., Luczak-Roesch, M., Tinati, R. and Shadbolt, N., An extended study of content and crowdsourcing-related performance factors in named entity annotation. Semantic Web, (to appear 2017).
- I co-authored a paper on the motivations of citizen scientists that was accepted for publication in the journal Computers in Human Behavior (impact factor 3.435). Reference: Tinati, R., Luczak-Roesch, M., Simperl, E. and Hall, W., 2017. An investigation of player motivations in Eyewire, a gamified citizen science project. Computers in Human Behavior.
- I wrote for the online magazine Discover Society about the stress field of echo chambers and filter bubbles. Reference: Luczak-Roesch, Markus and Tinati, Ramine (2016) The social in the platform trap: Why a microscopic system focus limits the prospect of social machines. Discover Society, (34).
- We published a video demonstration of our tool prototype for interactive visual analytics of English literature. Project description: https://vuw-sim-stia.github.io/computational-literary-science/
- I presented my research to the general public in the #180Science competition 2016.
Current PhD students
More information: http://markus-luczak.de
Tinati, R., Luczak-Roesch, M., Simperl, E. and Hall, W., 2017. An investigation of player motivations in Eyewire, a gamified citizen science project. Computers in Human Behavior.
Feyisetan, O., Simperl, E., Luczak-Roesch, M., Tinati, R. and Shadbolt, N., An extended study of content and crowdsourcing-related performance factors in named entity annotation. Semantic Web, (to appear 2017).
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.