Completed Projects
Project
TOP Support for collaborations
01.09.2015
to 01.02.2020
General project description
In the Internet of Things, people cannot only easily connect to other people, but also to all kinds of artefacts. This offers a wealth of possibilities for performing complex collaborations, such as a search and rescue operation executed by the Netherlands Coastguard, or handling the information streams around complex surgery in a hospital. We claim that using the Internet of Things, we can accomplish complex tasks in new, better, and more efficient ways. Developing software that supports such complex collaborations using the Internet is challenging, and requires input from different kinds of stakeholders: domain experts, designers, programmers, managers, and end-users. Task Oriented Programming (TOP) is a recent, innovative, paradigm and formalism for developing software supporting (soft) real-time collaborations on the Internet. Programmer productivity increases significantly when using TOP. In this project we design and develop a suite of TOP supporting analysis and modelling tools that can be used by all stakeholders. This suite of TOP tools helps to improve understanding of the way in which tasks are planned and performed, to improve operational support of tasks, to improve the tasks themselves, as well as to raise the level of awareness of people executing tasks.
Role
Researcher
Funding
Other grant (government funding)
Project members UU
External project members
- Tim Steenvoorden
- Bas Lijnse
- John van Groningen
- Laszlo Domoszlai
- Jan-Martin Jansen
- Peter Achten
- Pieter Koopman
- Markus Klinik
- Dr. Jurriën Stutterheim
- Prof. Rinus Plasmeijer
Project
Designing and Understanding Forensic Bayesian Networks with Arguments and Scenarios
01.06.2012
to 31.08.2016
General project description
Lucia de Berk found out first-hand: evidence based on statistics can easily lead to errors. This project aims to help prevent this sort of error from occurring. The project's new approach is to link the successful statistical modelling technique of Bayesian networks to models that effectively dovetail legal argumentation and scenario construction in the legal world.
Role
Researcher
Funding
NWO grant Forensic Science programme
Project members UU
External project members
- S.T. Timmer
- C.S. Vlek MSc
- dr. B. Verheij
- prof. dr. L.C. Verbrugge (Department of Artificial Intelligence; University of Groningen)