AProf Markus Luczak-Roesch

AProf Markus Luczak-Roesch profile picture

Honours and MCom Programme Director School of Information Management

Research interests

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 an Associate Professor within the School of Information Management at Victoria University of Wellington and an Associate Investigator at Te Pūnaha Matatini—New Zealand's centre for research excellence (CoRE) on complex systems. He is leading the Complexity & Connection Science Lab that brings together students and researchers to work on theories and methods to understand the structures and dynamics of complex systems, and to develop computational tools that securely and meaningfully augment human intelligence.

Particular foci of Markus' work are:

  • Information dynamics: This research area is concerned with formal models of temporal dynamics in naturally occuring complex systems such as human language, brain activities, and people's digital traces online. The focus is on fundamental questions of space and time in the context of information as well as emergent meaning that is rooted in coincidence.
  • Socio-technical systems: This focuses on advancing our understanding of systems in which the activities of human collectives lead to meaningful 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.

A complete list of Markus' publications can be found on Google Scholar. He also maintains a profile on Research Gate and is active on Twitter.

Recent activities

Current PhD students

Selected publications

Luczak-Roesch, M., O'Hara, K., Dinneen, J.D. and Tinati, R., 2018. What an entangled Web we weave: An information-centric approach to time-evolving socio-technical systems. Minds and Machines, Springer.

Roth, S. and Luczak-Roesch, M., 2018. Deconstructing the data life-cycle in digital humanitarianism. Information, Communication & Society, pp.1-17.

Luczak-Roesch, M., Grener, A. and Fenton, E., 2018. Not-so-distant reading: A dynamic network approach to literature. it-Information Technology, 60(1), pp.29-40.

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, 2018.

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.

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.