Data and social computing


Research staff working in data science & social computing

Mark Bishop  /  Mark d’Inverno  /  Rebecca Fiebrink  /  Marco Gillies  /  Mick Grierson  /  William Latham  /  Frederic Fol Leymarie  /  Dan McQuillan  /  Ida Pu  /  Christophe Rhodes  /  Daniel Stamate  /  Atau Tanaka  /  Andy Thomason  /  Matthew Yee-King

Transforming Musicology
This project explores how emerging technologies for working with music as sound & score can transform the theory and practice of musicology. Christophe Rhodes. Transforming Musicology website

Firefly: Product Fit Research Release is a technology transfer project based around an app that uses a GPS trail to ‘stitch together’ the most important elements of a journey, creating a digital content map for sharing with others. User data is collected to help make reccomendations regarding potential places of interest. Working with InnovateUK and Firefly website

Tungsten Centre for Intelligent Data Analytics
Using artificial intelligence to develop software for financial analytics. Mark Bishop and John Howroyd working with Tungsten Network. Tungsten Network website

Imperfect Data Integration and Optimal Querying
The project develops fuzzy based approaches to imperfect information fusion and optimal querying in data and knowledge bases. Daniel Stamate, Ida Pu. Data Science & Soft Computing Laboratory website

  • D. Stamate, I. Pu, 'Imperfect Information Fusion using Rules with Bilattice based Fixpoint Semantics'. Proceedings of the 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Springer-Verlag LNAI, 2012
  • D. Stamate, 'Quantitative Semantics for Uncertain Knowledge Bases'. Proceedings of the 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Springer-Verlag LNAI, 2012

Sentiment Analysis and Stock Market Trends Prediction
The project investigates and builds novel approaches to stock market forecasting by the mean of feeding in social-web expressed sentiment information." Daniel Stamate working with Frankfurt University of Applied Sciences. Data Science & Soft Computing Laboratory website

  • R. Olaniyan, D. Stamate, D. Logofatu, Social Web-Based Anxiety Index’s Predictive Information on S&P 500, Revisited. Proceedings of the 3rd International Symposium on Statistical Learning and Data Sciences (SLDS 2015), Springer LNAI, 2015

A multimedia interactive platform/game combining 3D and 2D visualisations of molecules. Frederic F. Leymarie, William Latham working with BBSRC Unity, Havok Intel, Swrve and Imperial College. BioBlox website

PRAISE: Practice and PeRformance Analysis Inspiring Social Education
A social network tool which aims to widen access to music education and make learning music more accessible and more social. EU-funded project led by Mark d’Inverno, Matthew Yee King, Marco Gillies. PRAISE website

Counter-mapping the Smart City
An international seminar series questioning the inevitability of the top-down Smart City and researching alternative futures. AHRC-funded project (TBC) with Dan McQuillan, Living Maps and the Young Foundation. Counter-mapping website

Data Science books by Professor Fionn Murtagh

  • Statistical Learning and Data Science (Chapman and Hall, 2011)
  • Sparse Image and Signal Processing (Cambridge University Press, 2010)
  • Astronomical Image and Data Analysis (Springer, 2002)
  • Correspondence Analysis and Data Coding with Java and R (Chapman and Hall, 2005)
  • Image Processing and Data Analysis (Cambridge University Press,1998)
  • The Computer Journal 2012 (Oxford Journals, 2012)
  • Astronomical Image and Data Analysis, 2nd edition (Springer, 2006)

Multiresolutions website

Science for Change Kosovo
Community-driven citizen science with young people in Kosovo that combines digital sensors, scientific methods and critical pedagogy. Dan McQuillan working with the Czech government and FabLab Barcelona. Citizen Science website

Contact map mapping of protein structures. Frederic F. Leymarie, W.Latham, S.Todd, P.Todd Imperial College and Oxford University. FoldSynth website

Epidemics with Mobility Traces
Large scale mobile phone data has proven to be useful for realistic epidemic simulations by considering the real movement, interactions, and communication patterns of a community. This work considers different sources of mobile phone sensed data as a basis for standard epidemiology model simulations for disease prediction and prevention. Katayoun Farrahi working with Nicta, Saint-Etienne.

  • K. Farrahi, R. Emonet, M. Cebrian Epidemic Contact Tracing via Communication Traces PLoS ONE 9(5): e95133. May 1, 2014. doi: 10.1371/journal.pone.0095133
  • K. Farrahi, R. Emonet, M. Cebrian 'Predicting a Community’s Flu Dynamics with Mobile Phone Data' in CSCW, Vancouver, Canada, March 2015

‌Steel Bank Common Lisp
A high performance open source Common Lisp compiler that provides an interactive environment including a debugger, a statistical profiler, a code coverage tool and other extensions. Christophe Rhodes. Steel Bank Common Lisp website

Machine Learning as Design Tool
By enabling people to instantiate designs of new musical instruments, game controllers, character animations, and other systems from data, rather than by writing code, we make design more efficient and accessible to more people, as well as enabling people to discover new design possibilities. Several research threads in the department link into this theme of making machine learning usable, creative tool. Rebecca Fiebrink, Marco Gillies, Atau Tanaka and Mick Grierson.

Andy T Genomics Project
LLVM Special Interest Group linked to the LLVM Conference. Andy Thomason working with 10 major companies and Kings College. LLVM website

Social Networks for Music Recommendation
This research focuses on contextual information which can describe a user or a user's behaviour to improve the performance of recommender systems. Katayoun Farrahi with JKU (Linz, Austria).

  • M. Schedl, D. Hauger, K. Farrahi, M. Tkalcic On the Influence of User Characteristics on Music Recommendation in ECIR, Vienna, Austria, March 2015
  • K. Farrahi, M. Schedl, A. Vall, D. Hauger, M. Tkalcic Impact of Listening Behavior on Music Recommendation in ISMIR, Taipei Taiwan, Oct 2014
  • M. Schedl, A. Vall, K. Farrahi User Geospatial Context for Music Recommendation in Microblogs in ACM Special Interest Group On Information Retrieval (SIGIR), Australia, July 2014

Expanding ring search algorithms
This project is to develop energy-efficient search algorithms for mobile Ad Hoc networks. Ida Pu with a Royal Society Travel Grant.

  • Ida Pu et al, 'Analytical Studies of Energy-Time Efficiency of Blocking Expanding Ring Search, Mathematics' in Computer Science 3(4): 443--456 (2010) ISSN: 1661-8270
  • Ida Pu et al, 'A framework for chase strategies in recent energy or time efficient route discovery protocols for MANETs', IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2011, ISBN: 978-1-4577-0352-2
  • Ida Pu et al, 'Enhanced Blocking Expanding Ring Search in Mobile Ad Hoc Networks', in proceedings of the Third International Conference on New Technologies, Mobility and Security (NTMS2009), pp451--455, 2009

Brain imaging and function
This project is to develop MR brain imaging techniques to study brain characteristics and functions. Ida Pu with ‌Royal Academy of Engineering Travel.

  • Ida Pu et al, 'Gray matter nulled and vascular space occupancy dependent fMRI response to visual stimulation during hypoxic hypoxia', NeuroImage 59(4): 3450-3456 (2012)
  • Ida Pu et al, 'Quantification of venous vessel size in human brain in response to hypercapnia and hyperoxia using magnetic resonance imaging', Magnetic Resonance in Medicine Volume 69, Issue 6, pages 1541–1552, June 2013
  • Ida Pu et al, 'Efficient algorithms for noise propagation in diffusion tensor imaging', in London Algorithmics 2008: Theory and Practice: (Texts in Algorithmics) eds. J Chan, J K Daykin, M S Rahman, 1 June 2009, ISBN: 978-1904987970

‌Centre for Doctoral Training in Intelligent Games and Game Intelligence
A four year EPSRC-funded PhD programme training the next generation of researchers in digital games research, in collaboration with York and Essex Universities and over 50 games companies. Atau Tanaka, Jeremy Gow, William Latham, Simon Colton. IGGI website