Claudia Müller-Birn

Assistant Professor
Web Science/Human-Centered Computing
Networked Information Systems Group
Institute of Computer Science
Freie Universität Berlin

contact
Königin-Luise-Str. 24/26
14195 Berlin

Tel: +49 30 838 75 256
Fax: +49 30 838 75 220
clmb (at) inf.fu-berlin.de

teaching
Winter Term 13/14
Seminar Collaborative and Social Computing
Computational Network Analysis

Summer Term 13
Forschungsseminar Human-Centered Computing
Softwareprojekt: Kundenprojekt User-Centered Design
User-Centered Design: Benutzerzentrierte Softwaregestaltung

Building and assessing collaborative knowledge collections is crucial today. As we know from Wikipedia, everybody can participate.
But how can we design collaborative processes to make these collections successful?

That is my research all about: By unfolding what we call design parameters, existing knowledge collections can be analyzed to build new collaborative knowledge collections in various settings; not only in the web but also in the business context they have gained in importance.

In the Web, such knowledge collections can be created for example by editing an article in Wikipedia, by tagging pictures on Flickr, by adding a comment to a song to Soundcloud, or by carrying out a task on Amazon’s Mechanical Turk (MTturk).

Our research especially focuses on design parameters from three areas:

People

  • Who are members of an online community and what is their motivation to participate?
  • How is information processed by people and transformed into knowledge and vice versa?

Technology

  • Which are technologies used to support knowledge creation processes?
  • To what extent does the technology adapts to these processes?

Knowledge

  • What are the structural properties of a knowledge collection?
  • Where is the knowledge originated?
  • Are there quality mechanisms employed?

To make knowledge collections successful, we integrate these design parameters by asking:

  • Which software features are especially supportive for knowledge creation processes depending on the properties of the knowledge collection (e.g., structured or unstructured knowledge)?
  • How can we combine human and machine intelligence in knowledge creation processes in a way that augments the quality of the knowledge collection?
  • To what extent can we design adaptable systems that similarly consider people’s prior experiences and the state of the knowledge collection?

In my research group we tackle these questions by considering insights from various research disciplines such as Collaborative and Social Computing, Knowledge Management, User-Centered Design, Network Analysis, Information Visualization, and (Semantic) Web Technologies.

(c) 2014 Claudia Müller-Birn.