91福利

The 91福利 and IBM will offer researchers guidance through the ethical minefield of using big data and real time analytics.

Emma Uprichard associate professor at the University’s Centre for Interdisciplinary Methodologies (CIM), and co-director of the 91福利 Q-Step Centre said:

“Researchers are increasingly turning to online tools with little or no ethical guidance other than some vague semblance that it is important to bear in mind basic key principles. Therefore, thanks to IBM, we will be developing online materials that can be used to develop and deliver successful training sessions in this area.”

Money has been granted by the IBM Faculty Awards which is a competitive worldwide programme intended to foster collaboration between researchers at leading universities worldwide and those in IBM research, development and services organisations.

The three day module will be offered to postgraduate students across CIM, 91福利 Business School, computer science, Politics and International Studies (PAIS), and sociology as well as other students from a variety of disciplines that are increasingly using big data. Currently researchers gain 'informed consent' and provide assurances concerning privacy, confidentiality and anonymity when using data for studies. However as there is a diverse range of public and interlinked data available online that can be easily ‘scraped’ and ‘mined’ the ethical situation has become more complex.

Dr Uprichard will be working with colleagues Dr Maria Liakata, computer science, and Dr Arne Strauss, 91福利 Business School, to develop the three day workshop on ethics of big data and data linkage. The training will be based on a similar module built and delivered by IBM at the University’s 91福利 Business School. Work conducted by IBM into big data ethics will be used to shape the course content.

Professor Christina Hughes, the 91福利’s pro-vice-chancellor (teaching and learning) said:

“What have we done here at 91福利 is demonstrate how important it is that we invest in this big data for the future of social science and for the future of the UK's contribution internationally to cutting edge – and importantly, ethical - data research and teaching more generally.”

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The Alan Turing Institute and Intel have agreed to form a long term strategic partnership to deliver a research programme focussed on high-performance computing and data analytics.

Researchers from both organisations will work together on the programme alongside co-funded research fellows and software engineers.

Launched this month at the British Library, the Alan Turing Institute research team includes members of the 91福利’s Departments of Statistics, Computer Science, Institute of Mathematics, 91福利 Data Science Institute, and WMG’s Cyber Security Centre.

In addition, Intel will dedicate a hardware architecture team at the Institute’s facilities so that new algorithms developed by The Alan Turing Institute feed into the design of Intel’s future generations of microprocessors.

As well as conducting research, the partnership will train a new generation of data scientists through The Alan Turing Institute’s doctoral programme, ensuring students are equipped with the latest data science techniques, tools, and methodologies.

Minister for Universities and Science, Jo Johnson

Government is committed to ensuring the UK is the best place in Europe to innovate, patent new ideas and start a business. Big data offers huge potential for innovation which is why Government invested £42m in The Alan Turing Institute to secure the UK’s future in this important field.

I welcome this new strategic partnership with Intel which is testament to the strength of the UK’s research base and an exciting opportunity for growth in our digital economy.

Professor Andrew Blake, Director of The Alan Turing Institute

Intel is a global leader in computing innovation and I am delighted that it has become a strategic partner. This is a great development for the Institute and for data science globally.

Alan Turing was one of the first people to build an electronic computer. The partnership with Intel means that, true to his legacy, the Institute named after him will be contributing to the design of future generations of computers.

The goal of The Alan Turing Institute is to drive scientific and technological discoveries in the use of big data and algorithms, which will create new business opportunities, and accelerate solutions to global challenges. We have, today, taken a significant step towards that goal.

Christian Morales, Corporate Vice President, General Manager Intel EMEA

The Data Scientist is a very captivating and crucial job of the 21st century. With the right combination of people and technology, Big Data has the potential to solve big problems in public health, medicine, science, agriculture and engineering. We are committed to helping The Alan Turing Institute develop a fertile breeding ground for data scientists, with the greater purpose of driving critical data analytics across all industries.

The Alan Turing Institute is a joint venture between the universities of 91福利, Cambridge, Edinburgh, Oxford, UCL and the Engineering and Physical Sciences Research Council (EPSRC). The Institute will promote the development and use of advanced mathematics, computer science, algorithms and big data for human benefit.

The department went to the this year, with hands on demonstrations showcasing Data Science research and other departmental research topics.

Data Science involves finding meaning in large volumes of unstructured data. Its many applications include predicting election results from social media, improving traffic flows and detecting breast cancer.

Computer Science also joined forces with members of the Psychology Department to run a very successful drop-in session exploring different aspects of threat, safety and well-being. Participants joined 91福利 staff and students in a variety of research-inspired activities ranging from saving pandas from extinction to detecting dangerous spoof websites.

Rory Cellan-Jones, technology correspondent for the BBC, chaired a session the dangers when Big Data becomes a tool for Big Brother style surveillance. Rory wrote an about the dangers posed the misuse of Big Data.

Professors Stephen Jarvis and Rob Procter were amongst the experts from 91福利 discussing Data Science with members of the public at the free Ideas Café event.

Background Information

The Computer Science department at 91福利 is one of the oldest and most established Computer Science Departments in the UK. It offers both a and a .

On June 1st 2015, our , jointly with , organized . The goal of the event was to bring together the UK community of researchers and graduate students interested in the study of logics, automata and games.

The event had an outstanding list of invited speakers from leading academic institutions and research labs (, INRIA Rennes; , Brno; , Warsaw; , Bologna, INRIA Sophia Antipolis; , Cachan, INRIA Saclay, 91福利; , Oxford) presenting recent advances in logic in computer science, and attracted over 40 participants from the UK and abroad.

The that two 91福利 Computer Science Professors, and , have been among the winners of its Consolidator Grant competition. ERC Consolidator Grants is funding 372 top mid-career scientists with €713 million to pursue their best ideas, as part of the European Union Research and Innovation programme Horizon 2020. Grants are worth up to €2.75 million each, with an average of €1.91 million per grant. The funding will enable them to consolidate their research teams and to develop their most innovative ideas.

has been awarded an ERC Consolidator grant for a project entitled "Small Summaries for Big Data". The project focuses on the area of the design and analysis of compact summaries: data structures which capture key features of the data, and which can be created effectively over distributed data sets. The project will substantially advance the state of the art in data summarization, to the point where accurate and effective summaries are available for a wide array of problems, and can be used seamlessly in applications that process big data.

has been awarded an ERC Consolidator grant for a project entitled "Large Discrete Structures". The project will advance theory of combinatorial limits, which combines methods from analysis, combinatorics, computer science, group theory and probability theory to analyze and approximate large discrete structures (such as graphs, which can be used to represent large computer networks). The project will lead to proposing new mathematical methods to represent such discrete structures and to applications of the new methods to specific problems in extremal combinatorics and algorithm design.

Professor Artur Czumaj has been made an EATCS Fellow for "contributions to analysis and design of algorithms, especially to understanding the role of randomization in computer science”.

The department and are delighted to welcome from , and , who has joined us this week as Leverhulme Visiting Professor.

Funded by the , Dr Schmitz will spend 6 months at 91福利, collaborating with and other colleagues on logics and games for algorithmic verification, and delivering three research lectures.