DATA SCIENCE INSTITUTE 2018 - Imperial College London
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DATA SCIENCE INSTITUTE 2018
DATA SCIENCE INSTITUTE IMPERIAL COLLEGE LONDON
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ABOUT THE DATA
SCIENCE INSTITUTE
The Data Science Institute (DSI) is a major Imperial College
London initiative, formally launched on 1 April 2014.
The cross-faculty DSI brings together Imperial’s existing data
science activities and expertise, and provides a focus and a
catalyst for emerging partnerships.
MESSAGE FROM THE DIRECTOR The DSI aims to capitalise on the data revolution, by underpinning multidisciplinary collaborations between the
PROFESSOR YI-KE GUO College’s academic experts and global partners in areas such as healthcare, financial services, climate science,
and city infrastructure to create new solutions to complex problems. Alongside research, the Institute fosters the
next generation of data scientists and engineers by developing a range of postgraduate and executive courses.
Big Data is frequently described as heralding a revolution and the transformation of
In the last 4 years the DSI has grown in size to include 7 Academic Labs, has attracted over £20m in
society. The scale of the challenge is clear. How we manage, process and analyse data
funding for data science research, technology and infrastructure and has published over 300 papers.
to extract knowledge or insight is an important question for academics, businesses
Thanks to its many research collaborations both across College and with a variety of external academic
and policy makers. Data science is an emerging discipline which addresses this
and industrial partners, the DSI is establishing its role as an international hub on data science.
question by employing techniques and theories drawn from many fields within the
broad areas of mathematics, computer science and statistics. Given its powerful
theoretical foundations, data science is now becoming an important tool for many
other disciplines, from natural sciences to engineering, from medicine to finance.
MISSION VISION
A pioneer in this area, Imperial College London has chosen Leading the data Our mission is to foster, advance and promote Our vision is to use Big Data in an innovative
revolution as a key research theme in its 2016-2021 strategy and the Data Science excellence in data science research, education and responsible way for better science and the
Institute has been created to act as a focal point across the College to address this and application across all domains. benefit of society.
topic. Building upon the achievements that we have already accomplished since
our launch in 2014 and after engaging with the College community, we are now
expanding our contribution to the College research environment and adding value
to data science advancement across all disciplines, at Imperial College and beyond.
STRATEGIC OBJECTIVES
We want to create a world class data science research base at Imperial College and foster
collaboration and innovation in data driven research and education on a global scale. 1. To act as a focal point 2. To train and educate the 3. To develop data 4. To enable the translation 5. To promote data science
for data-driven research next generations of data management and analysis of data science innovation by and its applications to the
at Imperial. scientists and researchers. technologies and services to collaboration with partners in general public and to inform
support data-driven research. industry and the public sector. policy makers.
DATA SCIENCE INSTITUTE IMPERIAL COLLEGE LONDON DATA SCIENCE INSTITUTE IMPERIAL COLLEGE LONDON
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INSTITUTE STRUCTURE, GOVERNANCE AND TEAM
Advisory Board and Management Committee Multi-disciplinary Research Labs
The Advisory Board steers the DSI’s strategy in research, The DSI promotes collaborations through dedicated
education and innovation with the contribution of external laboratories, bringing together researchers who
OUR LABS experts. The Internal Management committee, comprising investigate a common topic from different angles.
of the Director and three Deputy-Directors, provides
cross-College operational leadership for the institute. Academic Fellows
The DSI has a growing community of Academic
Institute Team Fellows from all disciplines across the College
The internal team is responsible for the functioning of with a common interest in data science.
the institute from upgrading, upscaling and maintaining Through the fellowship programme they get
the computing facilities to drafting and managing grants preferential access to the Data Observatory, can apply
and developing industrial partnership programmes. for funding from the DSI, and get support in grant
It also creates and coordinates communications, applications for research relevant to the Institute.
engagement and teaching activities both within the College
and with external institutional and research partners.
DR MARC DEISENROTH PROFESSOR ARMAND LEROI
Machine Learning Laboratory Social and Cultural Analytics
Laboratory
Visualisation of Big Data is
at the heart of our Institute.
Being able to translate large volumes of data in a visual
form that is both informative and accurate can be a
DR ALDO FAISAL PROFESSOR CHRIS PAIN challenging task, but it is becoming essential to aid
DR MARK KENNEDY
research decisions.
Behavioural Analytics Laboratory Data Assimilation Laboratory Business Analytics Laboratory Built in conjunction with the KPMG Centre for Advanced
Business Analytics, the Data Science Institute hosts a
world class visualisation facility, the only of its kind in
Europe.
Our Data Observatory is made of 64 screens creating
a 313° panoramic view. They can be operated in theatre
mode using the whole Observatory as a single canvas
or in 5 separate sections.
DR YVES-ALEXANDRE DE PROFESSOR WILLIAM Thanks to its exceptional computing capabilities (32
MONTJOYE KNOTTENBELT workstations each with 12 logical cores, 32Gb ram and a
Algorithmic Society Laboratory Data Economy Laboratory 4Gb Nvidia 980 graphics card) and high resolution (132
million pixels, believed to be the largest in the UK) it is
possible to use this space to explore large amounts of data
and run complex simulated scenarios in real time.
DATA SCIENCE INSTITUTE IMPERIAL COLLEGE LONDON DATA SCIENCE INSTITUTE IMPERIAL COLLEGE LONDON
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DATA ASSIMILATION LABORATORY BUSINESS ANALYTICS LABORATORY
Data assimilation is a methodology that combines measurements and numerical Established in 2014, the Business Analytics Laboratory brings together business-focused
predictions to obtain an accurate representation of a modelled system. It can be applied academics and specialists in data science to do cutting-edge research on how data and
to a variety of research topics such as oceanography and flooding motions, atmosphere artificial intelligence are changing business and society.
and climate changes, urban and indoor flows, oil reservoirs, vehicle design and several
industrial processes.
Increasing automation of work will
In a not so distant future, many
organisations will be significantly
The Data Assimilation Laboratory
promotes and leads scientific It is estimated that by 2050, air affected by breakthroughs in data
science and business analytics, require faster organisational changes
changing how they manage people,
pollution will be responsible for
advances and technological
innovations through data operations and marketing. The to remain competitive and efficient.
assimilation, sensitivity/uncertainty/ Business Analytics Laboratory
error analysis, design optimization around four-million deaths per year. collaborates with companies that
PEOPLE FLOW
and control, and computational have problems, people and datasets
modelling, simulation and available and that want to make the This project was run by Dr Mark Kennedy A finer-grained analysis measures
visualisation. Our vision is to provide
MAGIC project most of this dynamic field, preparing in collaboration with KPMG and analysed variance among departments and
leadership, in the UK and beyond, for the change ahead. how employees moved within a bank explains the role of other aspects as
Buildings and transportation are This project, run in a collaboration
in data assimilation as a strategic over the years, flowing through different average direct reports per manager or
the biggest culprits for high levels between the Universities of Cambridge,
resource for education and research. job families and levels. total number of managers.
of pollution in our cities. Traditional Surrey and Imperial College London, will
approaches to urban environmental develop an integrated suite of tools that
The job status of around 100,000
control rely on heating, ventilation and will use natural ventilation in buildings
employees was monitored biweekly for a
cooling (HVAC) systems that consume to reduce demand for energy and ensure
period of 5 years.
energy and produce toxins and CO2 in air pollutants are diluted below levels
Looking at their moves, it is possible
an unsustainable cycle. that cause adverse health effects.
to retrospectively identify the impact of
promotion and automation and make
better informed choices for the future.
DATA SCIENCE INSTITUTE IMPERIAL COLLEGE LONDON DATA SCIENCE INSTITUTE IMPERIAL COLLEGE LONDON
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ALGORITHMIC SOCIETY LABORATORY BEHAVIOURAL ANALYTICS LABORATORY
Big data dramatically increases our ability to follow and influence the behaviour of Brain activity, eye tracking, and skeletal movements can now be monitored with an
individuals and collectives. Together with plenty of opportunities in several and diverse unprecedented level of accuracy and this increased knowledge will be used to understand
areas, from healthcare to transport, progress in this area also raises serious questions and predict human and biological behaviour much more effectively than before.
around privacy and fairness.
The Algorithmic Society Laboratory
provides leadership, in the UK and The algorithms make sense of data The Behavioural Analytics Laboratory
taps into this huge pool of data Wearable sensors will make
providing useful statistical insight. medical treatments more accurate,
beyond, in the safe, anonymous, and extracting precious information
ethical use of large-scale behavioural through analytical methods and
datasets generated by the Internet of algorithms to move from Big Data to
Things (IoT) devices, mobile phones,
OPAL project
Big Knowledge. The Lab represents precise and timely.
credit cards and browsers. It achieves a focal point to develop innovative
this by developing attacks against OPAL is a joint project between MIT Such interventions are successful if the technology and understand how the
privacy-preserving protocols and and Imperial College London with data can be correlated to key indicators human brain works, bringing together ETHOME project
mechanisms, by proposing new safe telecommunications partners Orange such as poverty, literacy, population academics from across all the faculties
mechanisms for use of large-scale at Imperial College. In this project led by Dr Aldo Faisal, This research offers doctors and
and Telefonica. The core of the project density, social cohesion, in an accurate,
behavioural datasets, and by defining instead of collecting data in a laboratory clinicians the tools and the information
consists of an open suite of softwares timely and reliable manner. Purpose of
properties and metrics of fairness for setting, a group of more than 60 to make quicker and more accurate
and algorithms that give access to the project is to provide information that
algorithmic decision making. volunteers were monitored “in the wild”. diagnoses and interventions.
statistical information extracted from has statistic relevance while ensuring
Research and results from the Ubiquitous sensors recorded brain This type of work holds a huge potential
anonymised, secured and formatted that privacy and fairness are maintained.
Algorithmic Society Lab have had digital data while they performed simple as, in the long term, it will allow doctors
data. The data can then be used by
significant public policy implication, movements in a realistic situation like to link changes in emotional states
national statistical offices, civil society The way we move
e.g. in reports of United Nations, FTC having breakfast. caused by stress, anxiety and risky
organisations, media partners and other around is so unique
and the European Commission. A combination of their skeletal and behaviour, for example, to specific
bodies to make informed decisions and that, very quickly, eye movements allowed researchers to biomarkers. Personalised medical
efficient interventions. it identifies us establish strong correlations between treatments could then be delivered at an
amongst millions movements and brain activity. early stage of the disease.
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DATA ECONOMY LABORATORY SOCIAL AND CULTURAL ANALYTICS LABORATORY
Large public datasets are nowadays available through government open-source The Social and Cultural Analytics (SOCA) Laboratory was launched in November 2015 and
websites such as the UK-based www.data.gov.uk. A deluge of data is also collected by brings together Imperial College researchers and colleagues from allied institutions, to
private companies and datasets are sold and traded as commodities. investigate how culture and society work.
Astrophysics,
biology,
particle
climate
physics,
science and Data science is the catalyst for The Lab members study the evolution
of music, the neurobiology of Can algorithms find the secret to
advances in many research areas, Pop success without listening to a
meteorology can now understand and creativity, the dynamics of twitter
describe the world in incredible detail networks, digital markets and online
whereas medicine and healthcare are collaborations, the application of text
becoming more accurate and efficient both in the private and public sectors. mining to health and much more. single note?
than ever. Economics, business
and finance, but also sociology Their research looks at consumer and
BLOCKCHAIN THE SECRET SCIENCE OF POP
and political science benefit from social network data in the form of text,
collected data as it offers businesses, image, video, sound, to find out what The SOCA lab director, professor Armand He then teamed up with BBC research
Blockchain technology records and Our visualisation projects on Bitcoin Leroi, worked with a group of scientists and development unit, and tested his
governments and non-profit people think, buy, desire, and how
transfers data in a transparent and transactions have enabled researchers and researchers to analyse over 50 years algorithms on thousands of demo
organisations insights into human they behave. The lab engages with art
safe way that is resistant to outages. at Imperial College to identify in real time of UK chart music. He investigated the tracks uploaded to the BBC Introducing
behaviour and social dynamics. historians, science historians, literary
Participants trade with each other anomalies and attacks on the system. evolution of pop music through the database to discover if this method
critics, designers and artists who
without requiring a third party (like a major revolutions in his historic chart would allow him to predict which tracks
At the Data Economy Laboratory, are interested in studying the nature
bank or power company) to process In collaboration with the HNA Research data, looking for those artists who are most likely to become a hit without
we are carrying out research into of creativity, the history of cultural
the transaction because they rely on Centre for Future Data Ecosystems transformed the musical landscape to listening to a note.
the economic, legal and policy change, and what makes most art and
a distributed consensus in the online this laboratory is currently developing identify common traits and patterns that
mechanisms underlying the science disappear while some of it
world where the transactions occur. different technologies based on would allow him to predict the next big His research appeared on BBC four in
emerging Data Economy in the UK lives forever.
Blockchain and it is applying them to success. March 2018.
and worldwide. Collaborating with
This technology is nevertheless prone areas such as loyalty management and
our colleagues in economics and
to attacks and malfunctioning that can logistics.
social science, we research open data
compromise its reliability.
business models, digital money and
digital service exchanges.
DATA SCIENCE INSTITUTE IMPERIAL COLLEGE LONDON DATA SCIENCE INSTITUTE IMPERIAL COLLEGE LONDON
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EDUCATION
One of the core objectives of the Data Science Institute is to promote the training and
education of the new generation of data scientists by developing and coordinating
the teaching of data science in degree courses and executive education, and by
engaging students in data science activities and research projects.
The Data Science Institute already provides
teaching for students on Imperial’s MSc
Business Analytics course and MSc Health Data
Analytics and Machine Learning course, as well
as to undergraduate MEng Design Engineering
MACHINE LEARNING LABORATORY students.
For students interested in data science,
there are a number of courses available
The term Machine Learning refers to a branch of artificial intelligence in which algorithms at Imperial College that are highly students over the summer period who
identify patterns in large amount of data, build models and take decisions about them, applicable in many research areas. undertake data science training within the
They cover topics like: Research Opportunity Programme.
in an iterative process that makes the model more and more robust with minimal human 1. Advanced Machine Learning
intervention, thus resembling the traditional human learning process. 2. Data Management and Ethics As the job market continues to change and new
3. Big Data skills are in demand, many companies come
to us to provide further training to their senior
The DSI supported the Imperial College leadership.
The vision of the Machine Learning
Laboratory is to promote and lead Autonomous systems will learn from Data Science Society Talent Development
programme, and mentored their students to
The Data Science Institute hosted more than
30 lectures for industry partners in our Data
data and make informed decisions.
scientific advances in this area
present their research to company sponsors in Observatory, addressing specific companies’
developing autonomous decision-
the Data Observatory. needs and contributing to several continuous
making systems that learn from small
education programmes.
amounts of data. Research areas BREXIT AT THE BORDER The Institute is involved in Outreach activities
that fall into this category include
for school-age children. These activities In collaboration with the Public Affairs team, we
probabilistic modelling, transfer In this research project, Dr Ke Han and Researchers looked at results for include a collaboration with the American hosted a series of workshops for civil servants,
learning, semi-supervised learning, his team simulated how motorway different border delays and found that School in London to host 2 student placements discussing global issues (Food and Nutrition,
active learning and reinforcement queues could stack up in the hypothesis just two extra minutes spent on each in collaboration with the charity Place2B, Air Pollution) and how research in data science
learning. of longer border checks on vehicles vehicle at the border could more than and the supervision of many undergraduate can contribute to address them.
at the ferry port in Dover, and at the triple the existing queues on the M20/
Eurotunnel in Folkestone. The challenge A20, to 29 miles. At peak times, Kent
was to predict the congestion in terms of could see nearly five hours of traffic
both queue length and travel time. delays.
This meant measuring queuing patterns These results were displayed on the
of freight and passenger vehicles during Data Observatory, appeared on the BBC
the day and studying their interaction programme Inside Out South East and
with the local traffic. prompted a political discussion on how
to deal with this scenario.
DATA SCIENCE INSTITUTE IMPERIAL COLLEGE LONDON DATA SCIENCE INSTITUTE IMPERIAL COLLEGE LONDON
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INSTITUTE GROWTH AND GLOBAL IMPACT
Attracted Built the Used the Developed Supported Carried out
over £20m in state-of- observatory 5 major over 50 more than
RESEARCH
funding for the-art Data for over 15 software research 30 research
data science Observatory research systems and project bids collaborations
research, for large scale projects, built published from all across the
technology visualisation. 30 visual more than faculties. College.
applications. 300 papers.
EXTERNAL
Developed robust biomedical data Delivered 12 Data Spark Published a White
management platforms which are projects in collaboration Paper, co-authored by
being optimised for use to support with the Business School to Dr de Montjoye, on the
IMPACT
major initiatives such as UK establish new relationships issue of privacy in the
Biobank and the College’s BRC with key industry partners. cyberspace.
with the NHS Trust.
HIGHLIGHTED VISITS
OUR PRIORITIES FOR THE FUTURE • HRH Prince William Duke of Cambridge
The DSI ambition is to become a world leader institution in data science research. • HRH Prince Andrew Duke of York
To increase our global reach we are now focusing on: • Albert II Prince of Monaco
• Teo Chee Hean, Deputy Prime Minister of Singapore
Expanding our research scope with new DSI Labs. • Cai Qi, Communist Party Secretary of Beijing
Establishing new Laboratories in the area of Medical Informatics, Mathematical
Foundations of Data Science and Robotics. The new Labs will be the main vehicle to • Kersti Kaljulaid, President of Estonia
engage with academics within the College and build a strong data science ecosystem.
• George Osborne, Former Chancellor of the Exchequer
Consolidating our education programme. • Karen Bradley MP, Former Secretary of State for Digital, Culture, Media and Sport
Developing a Master of Research programme in data science and two doctoral training
centres in collaboration with other faculties at Imperial College and with external • Matt Hancock MP, Secretary of State for Health and Social Care
academic partners. Creating a systematic training programme to scale up our successful
executive education activities. • Michael Gove MP, Secretary of State for Environment, Food and Rural Affairs
• Jan Tore Sanner, Norway’s Minister for Local Government and Modernisation
Strengthening our industrial collaboration.
Increasing the current strong collaboration with industrial sectors worldwide, deepening • Thomas Stelzer, Governor of Upper Austria
our relationship with our existing partners and building joint research programmes with
new ones.
• President of China Xi Jinping and First Lady Peng Liyuan
• Professor Muhammad Yunus, Nobel prize winner
Establishing an international network. • Dr Alexander Yakovenko, Ambassador of Russia for the UK
Building a network with data science institutes in the UK and internationally to shape the
future of research in this area. Current focus is on global initiatives such as AI for good, • Professor Manuel Heitor, Portugal’s Minister of Science, Technology and Higher Education
data privacy management and AI for healthcare.
• Professor Liu Jiming, Associate Vice-President (Research), University of Singapore
• Guanshan Tong, CTO, BOE Technolgy group
Engaging with institutional partners.
Collaborating with institutions and public bodies and providing advice to policy makers • Dr Grigory V. Trubnikov, Russian Science Minister
on data science and its implications for research and for society.
DATA SCIENCE INSTITUTE www.imperial.ac.uk/data-science/ 2018 @ImperialDSI
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