Overview: We propose a Centre for Doctoral Training in Data Science. Data science is an emerging discipline that combines machine learning, databases, and other research areas in order to generate new knowledge from complex data. Interest in data science is exploding in industry and the public sector, both in the UK and internationally. Students from the Centre will be well prepared to work on tough problems involving large-scale unstructured and semistructured data, which are increasingly arising across a wide variety of application areas. Skills need: There is a significant industrial need for students who are well trained in data science. Skilled data scientists are in high demand. A report by McKinsey Global Institute cites a shortage of up to 190,000 qualified data scientists in the US; the situation in the UK is likely to be similar. A 2012 report in the Harvard Business Review concludes: "Indeed the shortage of data scientists is becoming a serious constraint in some sectors." A report on the Nature web site cited an astonishing 15,000% increase in job postings for data scientists in a single year, from 2011 to 2012. Many of our industrial partners (see letters of support) have expressed a pressing need to hire in data science. Training approach: We will train students using a rigorous and innovative four-year programme that is designed not only to train students in performing cutting-edge research but also to foster interdisciplinary interactions between students and to build students' practical expertise by interacting with a wide consortium of partners. The first year of the programme combines taught coursework and a sequence of small research projects. Taught coursework will include courses in machine learning, databases, and other research areas. Years 2-4 of the programme will consist primarily of an intensive PhD-level research project. The programme will provide students with breadth throughout the interdisciplinary scope of data science, depth in a specialist area, training in leadership and communication skills, and appreciation for practical issues in applied data science. All students will receive individual supervision from at least two members of Centre staff. The training programme will be especially characterized by opportunities for combining theory and practice, and for student-led and peer-to-peer learning.

Reducing energy demand from existing dwellings through occupant behaviour change is crucial for meeting UK carbon emission reduction targets. Dwellings account directly for 32% of UK energy consumption, and corresponding carbon emissions. While there are many reduction efforts aimed at new-build, a focus on existing dwellings is essential: 80% of the dwellings that will be in place in the UK in 2050 are already built. Attention to behaviour change is important - behavioural differences are estimated by DECC to account for 60% of the variance in demand. Demand related to heat is key - 80% of domestic energy demand is for heating. Using an interdisciplinary conceptual framework, our team of computer scientists, building engineers and sociologists will work together to explore the interaction of energy technologies and householder energy behaviours. For the first time household energy demand will be able to be analysed in great detail across a large number of homes and the effect of behavioural feedback evaluated over a multi-year period. The Smart Meter rollout planned to be complete by 2020 is intended to encourage householders to reduce their energy demand. These meters and the associated monitors create a feedback loop to householders in which energy-consumption information from the meters is provided to the householder on the monitor in the hope that this will cause him or her to change behaviours to reduce the amount of energy used, or the amount of money spent on energy, or the associated carbon emissions. This project's main goal is to construct an enhanced feedback loop which provides information to householders not just on their energy consumption, but also on what activities they are using energy, how much for each one, together with suggestions for what they might do to reduce their energy expenditure and use. We would hope to be able to tell the householder things like: "Last week you spent £10 on hot water for showers", or "Yesterday you spent £4 on heating your flat, if you turned off the heating at night you would probably have only spent £3 - you could save around £250 a year by doing this". We will construct this feedback loop and evaluate its effectiveness compared to standard Smart Meter type feedback by involving hundreds of households in a study over a three year period. We will involve a variety of types of households including single people, multi-adult dwellings, and families, and expect to have participants across income brackets. The feedback loop will use small unobtrusive wireless sensors in the dwellings to record data and transmit it over the internet to a large secure database; and a tablet PC to provide information back to householders. The data will be processed by software to tell the occupants how much energy, carbon and money they are spending on which energy-related activities - for example over the last day, week, month, and year. This feedback loop will run for several years (up to 3) and will provide the participants with a wealth of information that they can use to reduce their energy expenditure. We will compare how effective this feedback is with that provided by Smart Meters, that does not break down energy use into the important energy-using behaviours (particularly for gas use). At the end of the study we will ask participants if we can use the data we have gathered, with all personal information removed, in future studies. Those that agree will be contributing to a database that will be invaluable for future research efforts by us and others. If we can show that this loop is effective in helping people to reduce their energy demand, then we expect that energy suppliers and other companies will start to offer it as a service to households to help them keep their energy costs down. This will contribute to reducing energy poverty as well as the challenge of meeting UK 2050 carbon emission targets.

Recently the media has been awash with reports on the downloading and sharing of music files, a crisis which strikes at the economic viability of the entire global music industry. This is a startling reminder of the security challenges posed, in both the civil and criminal domains, as we move relentlessly to a world in which all Information Technology is fully connected, facilitated by the development and rapid uptake of Web 2.0. This, and its successors, will radically transform society in a way unimaginable a decade ago. However, with the accrued benefits come major threats in terms of privacy, security of information and vulnerability to external attack. Threats range, in the criminal domain, from the petty criminal stealing credit card details, through trouble making hacktivists, who attack organisations to further political aims, to the sinister cyber-terrorists, who attack strategic targets in the same way that terrorists would bomb and destroy national infrastructure. At the heart of the CSIT project is the perennial challenge of making all of the IT solutions, of today and tomorrow, secure. CSIT will be a world-class Research and Innovation centre coupling major research breakthroughs in Secure Information Technology with exciting developments in innovation and commercialisation.Information Technology in the widest sense deals with the use of electronic computers and computer software to convert, store, analyze, transmit, and retrieve information. So, the IT field covers every aspect of data processing from the banking using one's home PC with its (increasingly wireless) broadband connection, through to the complex systems which control and manage the world's aviation, maritime and telecommunications systems. As anyone who has had a virus, worm, Trojan or spyware on their home PC can readily testify, security is an essential requirement for any IT systems in order to retain privacy, integrity and trust. When electronic sensor devices and CCTV cameras are networked and combined with computer processing, IT then becomes a power enabling tool in the field of physical infrastructure protection, which includes fire monitoring, asset tracking and intrusion detection. Thus while IT security itself is often a matter of defending against automated attack by viral programs, IT for asset protection is a tool to assist the human operator. The IT systems used for infrastructure systems must themselves be secure not least because personal biometric data is increasingly being rolled out as a part of the solution.IT systems are analysed into a stack of independent layers along lines defined in international standards. CSIT staff are world leaders in academic research in these layers, an attribute which is reflected in the four initial fields of academic research: data systems, networks, wireless and intelligent surveillance. However a key distinguishing feature of CSIT is the fact that it understands, because of its history, the necessity to ultimately take a the holistic, or systems engineering, perspective in order to research and develop the creation of complete secure IT systems, which undoubtedly are greater than the sum of their layers. The involvement of many industrial partners in CSIT bears witness to this.The driving goal for CSIT is to strategically position U.K. industry at the forefront of the field of secure IT because this field is a critical, emerging and rapidly growing sector with its wider benefits for the safety and security of society. Embedded within Queen's University, with its very successful record of industrial collaboration and spin-out company formation, CSIT therefore lends itself well to a strong business and academic partnership, creating a continuous flow of knowledge transfer opportunities, with realizable shorter term milestones for transfer of the research, coupled with exciting opportunities for major breakthroughs and ensuing commercial opportunities for UK industry.