In order to enable an iCal export link, your account needs to have an API key created. This key enables other applications to access data from within Indico even when you are neither using nor logged into the Indico system yourself with the link provided. Once created, you can manage your key at any time by going to 'My Profile' and looking under the tab entitled 'HTTP API'. Further information about HTTP API keys can be found in the Indico documentation.
Additionally to having an API key associated with your account, exporting private event information requires the usage of a persistent signature. This enables API URLs which do not expire after a few minutes so while the setting is active, anyone in possession of the link provided can access the information. Due to this, it is extremely important that you keep these links private and for your use only. If you think someone else may have acquired access to a link using this key in the future, you must immediately create a new key pair on the 'My Profile' page under the 'HTTP API' and update the iCalendar links afterwards.
Permanent link for public information only:
Permanent link for all public and protected information:
Three artists spent the last few months looking at data generated in KTH’s Lansner Lab. As far as the science is concerned, the artists are pretty ignorant; however, they claim that this ignorance (and hard labour) might help them to see and hear things in the data that may be of interest. At the very least, they offer an experience of the data that may fuel the imagination.
This seminar is part artistic presentation and part feedback and discussion round so as to jointly evaluate what it is that will be experienced. Since all data is algorithmically transformed (they use amongst other things a dynamic system for the representation of higher dimensional data), all phenomena can in principle be traced back to the data – or to artefacts that have been inscribed.
The artists are funded by the Austrian Science Fund. Their research project is called ‘Transpositions. Algorithmic Data Exploration’. It investigates the possibility of generating new auditory and visual forms based on the analysis and mathematical transformation of scientific data. In addition, the project studies whether and how these new forms are of scientific significance by asking the collaborating researchers to scientifically analyze the artistic outputs.
By remaining true to the data while employing an artistic working method and, thus, by combining scientific and artistic values, the project hopes to contribute to the conceptual development of a space for research that is shared between art and science.