The research programmes organised by the School of Informatics encompass a wide range of domains.
The main aim of the Artificial Life Programme is to promote interaction between researchers in the School of Informatics, and other schools at the University of Edinburgh, who have interests in aspects of artificial life. Researchers from other institutions in the Edinburgh area are also welcome to participate.
Bioinformatics at Edinburgh includes research within Informatics, Biology and Biomedicine. It investigates a wide spectrum of problems at a variety of levels of detail. For example: understanding gene regulation and embryo development; analysing genetic variation; understanding the forces that shape gene and genome evolution; understanding of the development and functioning of specific neural structures.
The impact of computers on intellectual life goes beyond email, web surfing and word processing. Computational ideas are beginning to influence research thinking in many branches of both the sciences and the humanities. For instance, researchers are using computational metaphors for enriching theories as diverse as genomics and the mind-body problem. Computing can also enable us to ask questions that could not previously have been contemplated, due to the large amount of data-processing that any investigation would require, for instance the search for the Higgs Boson.
Machine Learning methods are widely researched and used in many places in the School, e.g. in IANC, IPAB, ICCS and elsewhere. With the co-location of the School in the Forum there is an opportunity to develop the links between these various groups, so as to enhance mutual understanding, and likely lead to new research opportunities.
This programme promotes long-standing collaboration in Edinburgh between Music and Informatics. Informatics techniques and concepts find challenging problems in the musical domain in many places, ranging from analysis of sound signals, sound synthesis algorithms computer modelling of acoustic phenomena to grammatical and statistical accounts of musical styles, algorithmic approaches to classifying musical data, and interaction between natural and artificial musicians. The electronic music studio in Music engenders interest in the computational aspects of processing music from music students, at undergraduate and masters level. The long-standing collaboration between Music and Physics also has resulted in work in acoustics with a strong computational underpinning.
This collaborative research programme is intended to provide an informal platform for Edinburgh researchers to exchange their research work and experiences in plan, process, event and activity representation, modelling, reasoning and experiences of using them in a range of applications.
Applies a wide range of methodologies and techniques to software engineering problems: empirical studies; applications of AI techniques, computer science, mathematics, and cognitive science.
SLI will make possible new forms of system, integrating transduction, computation and communication on a single chip. The design, analysis and correct implementation of SLI devices presents new research challenges, and the programme aims to bring relevant expertise within Informatics to bear on selected problems in the area.
This article was published on Oct 13, 2010