Stefan Bloemheuvel - Master student
Cicek Güven - Lecturer/Researcher
Rick Mackenbach - Master student
Menno van Leeuwen - Master student
Martijn van Otterlo - Assistant Professor
Travis Wiltshire - Assistant Professor
Frederique van Leeuwen - Associated Researcher (PhD student, JADS)
The Computational Sensemaking Lab (CSLab) focuses on how to ‘make sense‘ in the context of complex information and knowledge processes from an interdisciplinary perspective.
By collecting and analyzing rich data to transform our understanding of individuals, organizations, and societies, we aim at augmenting human intelligence for assisting the involved actors in all their purposes both online and in the physical world.
This is enabled by developing computational methods and tools for computational sensemaking, focusing on advanced data modeling, explicative analysis, and transparent decision-support.
Our research focuses on:
DIaNE, i.e. the "Deprez Integrated and Networked Environment", aims to make the Deprez-building (where MindLabs is located) "intelligent", using sensors and smart data analytics.
Martin Atzmueller, Lisa Thiele, Gerd Stumme, and Simone Kauffeld. Analyzing Group Interaction on Networks of Face-to-Face Proximity using Wearable Sensors. Proc. IEEE International Conference on Future IoT Technologies, IEEE Press, Boston, MA, USA, 2018.
Martin Atzmueller, Daan Kolkman, Werner Liebregts and Arjan Haring. Towards Estimating Happiness using Social Sensing: Perspectives on Organizational Social Network Analysis. Proc. Workshop on Affective Computing and Context Awareness in Ambient Intelligence, Valencia, Spain, 2018
Martin Atzmueller, Benjamin Kloepper, Hassan Al Mawla, Benjamin Jäschke, Martin Hollender, Markus Graube, David Arnu, Andreas Schmidt, Sebastian Heinze, Lukas Schorer, Andreas Kroll, Gerd Stumme, and Leon Urbas. Big Data Analytics for Proactive Industrial Decision Support: Approaches & First Experiences in the Context of the FEE Project. atp edition, (58)9 2016.
Martijn van Otterlo. From Algorithmic Black Boxes to Adaptive White Boxes: Declarative Decision-Theoretic Ethical Programs as Codes of Ethics. Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society, 2018.
The CSLab provides the VIKAMINE project for subgroup discovery and analytics, and the ConnectU software platform for enhancing physical and digital interactions, for connecting things, people, and minds.
VIKAMINE is an extensible open-source rich-client environment and platform for pattern mining and analytics. VIKAMINE features several powerful and intuitive visualizations complemented by fast automatic mining methods; it is provided as Open Source, under the GNU Lesser General Public License (LGPL). The R subgroup package (rsubgroup R package) provides a wrapper around the VIKAMINE core.
ConnectU is based on Ubicon -- an extensible framework for building and hosting applications targeting both social and ubiquitous environments (see Conferator, EveryAware).
Ubicon provides a powerful platform featuring several components and mechanisms in order to handle heterogeneous (Big) data in a scalable way. The source code of Ubicon is available as Open Source, see code.ubicon.eu. The main module of Ubicon is licensed under the GNU AGPL, while several modules are also licensed under GNU LGPL (see the URL above for details).