Research Centres and Institutes working with data science in Edinburgh.
Administrative Data Research Centre (Scotland)
Part of the Administrative Data Research Network (ADRN) - a partnership between government departments, research funders, national statistical authorities, and the research community that will reach across the UK to facilitate research based upon linked, routinely collected administrative data.
Alzheimer Scotland Dementia Research Centre
Provides a high-quality research environment for investigations into the causes and treatment of dementia, and care provided by relatives and friends. It aims to commission and build a balanced portfolio of scientific and clinical research and develop and maintain a dementia brain tissue bank.
Applied and Computational Mathematics
Explores a wide range of computational applied mathematics including numerical methods for ODEs and PDEs, molecular dynamics, geophysical fluid dynamics, nonlinear waves, and numerical hydrodynamics. There is also strong interest in mathematical biology, theoretical astrophysics, asymptotics, applied dynamical systems, uncertainty quantification, electromagnetic theory of complex mediums, and multiscale modelling and analysis.
Applied Quantitative Methods Network
Developing a dynamic and pioneering set of projects to improve our understanding of current social issues in the UK and provide policy makers and practitioners with the robust independent research-based evidence to build a better future. This has three primary strands of research involving a multidisciplinary team of researchers from the UK and abroad that will be developed over a four year period from 2013 to 2016: crime and victimization; education and social stratification; and urban segregation and inequality. A secondary aim is to continue building capacity in the use of intermediate and advanced level quantitative methods amongst the UK social science community.
Brain Research Imaging Centre
Uses a variety of MRI imaging techniques to study common medical problems. Since 1998 BRIC has developed helpful documents and software. These include quantitative image reading templates and forms; quantitative computational analysis methods, data anonomising tools as well as useful instructions on how to use software programmes and write papers.
Centre for Cardiovascular Science
Exploring themes which span from the origins and risk factors for the development of atherosclerosis to the factors which determine tissue recovery from ischaemia. Focusing on a number of underlying processes, ranging from early life development to neuroendocrine and steroid signalling, to tissue regeneration. The technologies employed within CVS span basic molecular and cell biology, to model organisms (flies, fish, rodents), to clinical trials and registries.
Centre for Clinical Brain Sciences
A multidisciplinary translational "centre without walls" combining basic and applied research to study the causes, consequences and treatment of major brain disorders. The major disease targets, that straddle the disciplines of Neurology and Psychiatry, include: bipolar disorders, brain cancer, multiple sclerosis, motor neurone disease, prion disease, schizophrenia, stroke and epilepsy.
Centre for Cognitive Ageing and Cognitive Epidemiology
Using data-intensive techniques to investigate how ageing affects cognition, and how mental ability in youth affects health and longevity.
Centre for Genomic and Experimental Medicine
Uses genetics and genomics to understand the mechanisms of disease and inform novel intervention strategies. Undertakes detailed studies of populations, families and individuals to study a wide range of health related conditions. Uses state-of-the-art genetic, epigenetic, genomic, statistical, computational, biological and molecular approaches. Applies these in model systems and in clinical studies to systematically investigate disease mechanisms. With this knowledge, we aim to improve disease prediction, prevention and prognosis. Our research is leading to the development of new medicines and better use of existing medicines in clinical trials.
Centre for Inflammation Research
Identifying novel therapeutic targets in inflammation, new approaches to imaging inflammation and fibrosis and translating these developments to clinical applications. Focused in three key thematic areas: immune modulation and regulation of inflammation; tissue remodelling and regeneration; and imaging inflammation.
Centre for Integrative Physiology
Discovering fundamental physiological mechanisms and pathways, from single genes to complex behaviour, relevant to normal human function and how disruption of these mechanisms lead to disease. Investigators exploit imaging, electrophysiological, optogenetic, pharmacogenetic and behavioural approaches in order to understand how fundamental signalling mechanisms control cell function and excitability, how the resultant cell networks control defined behaviours (including feeding, motor control and cognitive tasks) and how disease-related changes lead to modified control of cellular networks.
Centre for Intelligent Systems and their Applications
Undertakes basic and applied research and development in knowledge representation and reasoning. We build systems which help us to acquire, manipulate and deploy knowledge expressed in formal representations. These systems then become objects for empirical experiment and subjects for formal analysis. They also become items of value to industry and other users of technology, and help us to understand natural intelligence.
Chemistry at the Biology Interface
Interested in all areas of chemistry that interface with the biological sciences. Particular strengths include protein structure and function, synthetic biology, proteomics, medicinal chemistry, high throughput and combinatorial approaches to medicine and the development of new biophysical techniques.
Data Lab Innovation Centre
A Scottish Funding Council funded initiative to generate significant economic, social and scientific value from data. It is industry-led, with Hub locations in Aberdeen, Edinburgh and Glasgow. Its focus will be on the Digital Technology, Energy, Financial Services, Healthcare, and Public Sector markets.
Focuses on designing with data. We can harness massive connectivity, analytic power and industrial-strength simulation to design tangible products and intangible services to transform the ways we work, live at home, care for each other, and play.
Digital Cultures and Education
We pursue research and scholarship which engages with the cultural contexts of digital education in the broadest sense. Current areas of focus are digital higher education, open education, digital cultural heritage and early years learning with technology.
Digital Curation Centre
Builds capacity, capability and skills for research data management across the UK's higher education research community. Provides expert advice and practical help to anyone in UK higher education and research wanting to store, manage, protect and share digital research data.
Assesses the methodological and conceptual challenges faced by sociology as it confronts digitalised social landscapes. Closely linked to sociological work on identity and culture.
Edinburgh Cancer Research Centre
Research geared to understanding cancer, its aberrant behaviour and control, and to translate our discoveries for the benefit of cancer patients. The pre-malignant state is also studied, so as to understand risk and how to prevent and treat cancer.
Edinburgh Parallel Computing Centre
Home to one of the largest supercomputing centres in Europe and host to a number of data intensive research facilities: EDIM1 is a computer designed for data intensive research which places more emphasis on input and output performance than on compute performance; the UK Research Data Facility is a large-scale data store designed for long-term data storage (funded by the UK EPSRC and NERC research councils and housed at the University's Advanced Computing Facility). The unique challenges of developing and maintaining software used in research include working with cutting-edge hardware, dealing with the uncertainties inherent in scientific exploration, and satisfying the requirements of diverse communities.
Edinburgh Q-Step Centre
A programme designed to promote a step-change in quantitative social science training. Over a five-year period from 2013, fifteen universities across the UK are delivering specialist undergraduate programmes, including new courses, work placements and pathways to postgraduate study. Expertise and resources will be shared across the higher education sector through an accompanying support programme, which will also forge links with schools and employers.
Farr Institute (Scotland)
A collaboration between six Scottish Universities and NHS National Services Scotland to harness health data for patient and public benefit by setting the international standard for the safe and secure use of electronic patient records and other population-based datasets for research purposes.
Global Change Research Institute
Improves the scientific understanding of past, present and future changes in the Earth system through measurements, theory and computational modelling. A better understanding of the Earth system allows us to inform policy makers and to develop effective mitigation strategies which, if implemented, would minimise the economic and humanitarian implications of changes in climate and the Earth System.
Innovative Healthcare Delivery Programme
Institute for Adaptive and Neural Computation
Explores a broad range of theoretical aspects of machine learning as well as applications. This includes computational neuroscience and neuroinformatics.
Institute for Astronomy
Shares the historic and beautiful Royal Observatory Edinburgh (ROE) site on Blackford Hill with the UK Astronomical Technology Centre. This allows the astronomers within the University to work in close scientific collaboration with the STFC-funded scientists and instrument builders within the UK ATC. Key strengths are in Cosmology, Active Galaxies and Quasars, Star Formation, Low Mass Stars, Protoplanetary systems, and project work in Survey Astronomy and e-Science undertaken by the Wide Field Astronomy Unit.
Institute for Computing Systems Architecture
Extends the understanding of the performance and scalability of existing computational systems; improves current systems through innovations in algorithms, architectures, compilers, languages and protocols; and develops new and novel architectures and to develop new engineering methods by which future systems can be created and maintained.
Institute for Earth and Planetary Science
Addresses global challenges relating to resources, natural hazards and the environment. To that end our researchers seek better understanding of chemical and physical properties of materials, the origin and history of pore fluids, minerals, rock assemblages, and magmas, and their interactions, at all scales within the Earth. Develops new seismological, electromagnetic, gravitational, magnetic, and industrial seismic methods to interrogate the Earth remotely for such information.
Institute for Language, Cognition and Computation
Pursues the computational study of language, communication, and cognition, in both humans and machines. Research areas include automatic speech and language processing, dialogue systems, models of human communication and language processing, information retrieval and presentation, and assistive technology.
Institute of Perception, Action and Behaviour
Links computational action, perception, representation, transformation and generation processes to real or virtual worlds: statistical machine learning, computer vision, mobile and humanoid robotics, motor control, graphics and visualization.
Laboratory for Foundations of Computer Science
Maintains a community of theoretical computer scientists with interests in concurrency, semantics, categories, algebra, types, logic, algorithms, complexity, databases and modelling. Our work has a core of theoretical research and a practical component which explores application and implementation of the theory, including databases, mobility, process modelling and programming languages.
Works within the framework of BBSRC Institute Strategic Programmes focussed on the health and welfare of animals, and applications of basic animal sciences in human and veterinary medicine, the livestock industry and food security. Located on the University of Edinburgh's Easter Bush Campus and brings onto one site the research of the Institute alongside the teaching and clinical activities of the Royal (Dick) School of Veterinary Studies. The building now accommodates over 500 staff and students from The Roslin institute alongside Animal Science colleagues from Scotland's Rural College (SRUC). The Easter Bush Campus is also home to the National Avian Research Facility (NARF) and will be the location of a new Bioincubator building currently in design phase.
Science Technology and Innovation Studies
Produces innovative and interdisciplinary research, public policy advice and consultancy on the socio-economic implications of technology and innovation and the social and historical dimensions of a broad range of issues including: history of science and medicine, information and communication technologies, life sciences, science and technology policy, international development, and the environment. Hosts the Innogen Institute (formerly the ESRC Innogen Centre) and convenes ISSTI which draws in a wider network of colleagues from across the university who share our interest in the social studies of science, technology and innovation.
Deepens our understanding of Bayesian systems. Areas of research include hierarchical multivariate random effects models, wavelets, nonparametric regression and resampling. There is a strong interest in applications with specific areas being forensic science, the law, agriculture, and functional genomics data such as gene expression microarrays.
Synthetic and Systems Biology
Uses cutting-edge approaches from experimental Synthetic Biology to theoretical computer science; applying them to experimental systems for fundamental and applied biological research, in order to address contemporary challenges in medicine, agriculture and industrial biotechnology. Understanding intracellular processes requires high-quality data of many types, testing network-wide effects as well as quantifying particular processes in detail and in real time. The Systems Biology Software Infrastructure provides an open-source suite of tools for model construction and analysis, including parameter optimisation and data visualisation, with associated databases of models and experimental data.
Usher Institute of Population Health Sciences and Informatics
Investigates topics of population health importance, including development of statistical, epidemiological and social science methods. Brings together researchers with expertise in epidemiology, statistics and modelling, sociology, social policy, psychology, economics, geography, health promotion, nursing and medicine.