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<strong>== Welcome to the Collective Computational Unit (CCU)</strong>==
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The CCU handles computer science and infrastructure aspects for the
It constitutes a core facility that is responsible for providing
technical platforms and support, algorithmic solutions, and software frameworks.
The CCU will be home to technicians
and a number of funded student assistants as well as computer science students at the master’s
level. It constitutes a collaborative research enterprise that provides and develops algorithms
for the analysis and visualisation of highly complex scientific data repositories, i.e. efficient
methods for tracking and measuring collectives, (semi) automated data analysis, data mining,
numerical simulation and parameter estimation, and for visual and interactive data exploration. The
centre will be based on experiences with the existing Interdisciplinary Centre for Interactive Data
Analysis, Modelling and Visual Exploration (INCIDE) at the University of Konstanz that was built
upon a similar structure. It will offer three types of project support:
* <strong>Standard Problems</strong> can be approached using well-established software tools (such as Amira,
MatLab, KNIME). The centre will provide help with using software packages to solve problems
and offer additional expertise, if required. This help expertise will be provided primarily by trained
and paid student assistants.
* <strong>Elaborate Problems</strong> require modifications to or plugins for
software packages involving known algorithms. These problems will be handled by master’s
students specialising in computer science, who will either be paid for the support they provide, or,
if the problem is more scientific rather than just technical in nature, will be given the opportunity
to work on it as part of their master’s thesis.
* <strong>Special Problems</strong> cannot be solved using standard approaches or software. To address these
kinds of problems, the centre will provide help with finding the right experts in computer science
or mathematics and also offer collaboration in our own fields of expertise. Projects in need of
more comprehensive and complex algorithmic solutions that exceed initial estimates will have to
apply for doctoral or post-doctoral researchers via the centre’s open calls for projects. These
researchers will receive support from the computational centre in the form of regular meetings in
which algorithmic techniques will be discussed.
== About this Wiki ==
This Mediawiki is intended to link the many challenging problems arising in data analysis for collectives to experts from computer science, and provide a global
