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Research by Theme

Publications by CDT Urban Science & Progress' members since 2015. The CDT is supported by an EPSRC Grant Number EP/L016400/1.

For a list of publications in date order, click here.

Social Media Analytics

Tsakalidis, A., Papadopoulos, S., Cristea, A.I. and Kompatsiaris, Y., (2015). Predicting elections for multiple countries using Twitter and polls. IEEE Intelligent Systems, 30(2), pp.10-17 [LINK]

Nataliya Tkachenko, Stephen Jarvis, Rob Procter (2017), Predicting floods with Flickr tags, PLOS ONE (February 2017) [LINK]

Zubiaga, A., Voss, A., Procter, R., Liakata, M., Wang, B. and Tsakalidis, A., 2017. Towards real-time, country-level location classification of worldwide tweets. IEEE Transactions on Knowledge and Data Engineering. April 2017. [LINK]

Tkachenko N., Procter R., Jarvis S. (2017) How do eyewitness social media reports reflect socio-economic effects of natural hazards?. In: Ciampaglia G., Mashhadi A., Yasseri T. (eds) Social Informatics. SocInfo 2017. Lecture Notes in Computer Science, vol 10540. Springer, Cham [LINK]

Tkachenko N, Zubiaga A, Procter R (2017) WISC at MediaEval 2017: Multimedia Satellite Task, Working Notes Proceedings of the MediaEval 2017 Workshop, Dublin, Ireland, September 13-15, 2017. [LINK]

Twitter Usage Across Industry: a Spatiotemporal Analysis,"N. Gupta, H. Crosby, D. Purser, S. Jarvis, W. Guo, IEEE International Conference on Big Data Computing Service and Applications, Germany, Mar 2018 [LINK]

Adam Tsakalidis, Nikolaos Aletras, Alexandra I. Cristea, Maria Liakata: Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum. Accepted for publication in the ACM International Conference on Information and Knowledge Management (CIKM 2018) [PREPRINT]

S. E. Griesser and N. Gupta, "Triangulated Sentiment Analysis of Tweets for Social CRM," 2019 6th Swiss Conference on Data Science (SDS), Bern, Switzerland, 2019, pp. 75-79. [LINK]


Cities and Society

Tkachenko N, Bricker S, Jarvis S (2015) To Dig or Not to Dig? Place and Perception in Subsurface Housing. Proceedings of the Institution of Civil Engineers (Special Issue 'Smart Cities') [LINK]\

Crosby H., Davis, P., Jarvis, S., (2015) Exploring New Data Sources to Improve UK Land Parcel Valuation. In UrbanGIS, Proceedings of the 1st International ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics15, November 03-06, 2015, Bellevue, WA, USA, Pages 32-35. 2015 ACM. [LINK] [PDF] [Slides]

Crosby, H., Davis, P., Damoulas, T.,Jarvis, S., (2016).A Spatio-Temporal, Gaussian Process Regression, Real-Estate Price Predictor., In Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016), Article No. 68, Burlingame, California, October 31 - November 03, 2016 [PDF] [Poster]

Crosby, H., Davis, P., Damoulas, T.,Jarvis, S., "Road Distance and Travel Time for an Improved House Price Kriging Predictor". Spatial Urban Analytics and Crowdsourced Geographic Information for Smarter Cities. Additionally, a Contribution to the special issue “Crowdsourcing for urban geoinformatics” of the T&F journal Geo-spatial Information Science. DOI: 10.1080/10095020.2018.1503775. [LINK]

Crosby, H., Jarvis, S., Davis, P., (2016) A Spatially-Intensive Decision Tree Approach to Predicting the Traffic Flow of the entire UK Road Network. 2016 IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications (DS-RT), London, UK, 21-23 Sept, 2016. [PDF] [Slides]

Munoz-Mendez, F., Klemmer, K., Han, K., Jarvis, S.A. 2018. “Community Structures, Interactions and Dynamics in London’s Bicycle Sharing Network.” 7th International Workshop on Pervasive Urban Applications, UbiComp '18 ACM International Joint Conference on Pervasive and Ubiquitous Computing. [LINK]

Klemmer, K., Brandt, T., & Jarvis, S. (2018). Isolating the effect of cycling on local business environments in London. PLOS ONE, 13(12), e0209090 [LINK]

Ulbrich, P., Porto de Albuquerque, J. and Coaffee, J. (2018). The Impact of Urban Inequalities on Monitoring Progress towards the Sustainable Development Goals: Methodological Considerations. ISPRS International Journal of Geo-Information, 8(1), p.6. [LINK]

Henry Crosby, Theodoros Damoulas, Stephen A. Jarvis: Embedding road networks and travel time into distance metrics for urban modelling. International Journal of Geographical Information Science 33(3): 512-536 (2019) [LINK]

L. Steadman, N. Griffiths, S. Jarvis, S. McRobbie and C. Wallbank, 2D-STR: Reducing Spatio-Temporal Traffic Datasets by Partitioning and Modelling, in Proceedings of the 5th International Conference on Geographical Information Systems Theory, Application and Management, 2019 [LINK]

Pagani, Alessio, Mosquera, Guillem, Alturki, Aseel, Johnson, Samuel, Jarvis, Stephen A., Wilson, Alan, Guo, Weisi and Varga, Liz (2018) Resilience or robustness : identifying topological vulnerabilities in rail networks. Royal Society Open Science, 6 (2). 181301. [LINK]



Nataliya Tkachenko, Rob Procter, Stephen Jarvis (2016) Predicting impact of urban flooding using Open Data. Royal Society Open Science (Special Issue 'City Analytics') [LINK]

Tkachenko N, Procter R, Jarvis S (2016) From Kontrollverlust to Kontrollgewinn: Rediscovering a meso-level normative hierarchy for Integrated Water Management in England using on-line activities. The 10th International AAAI Conference on Web and Social Media (WS-16-20: Social Web for Environmental and Ecological Monitoring) [LINK]

Johnson, N. E. (2016). Landfill Hunter: Learning About Waste Through Public Participation.  Human Computation, 3(1), 257-266. DOI: 10.15346/hc.v3i1.15 [LINK]

Johnson, N. E., Ianiuk, O., Cazap, D., Liu, L., Starobin, D., Dobler, G., & Ghandehari, M. (2017). Patterns of waste generation: A gradient boosting model for short-term waste prediction in New York City. Waste Management, 62, 3-11. [LINK]

Kenny, M.J. (2017). Urban Planning in the Arctic: Historic Approaches and the Potential for a Resilient Urban Future. In: Heininen, L., Exner-Pirot, H., & Plouffe, J. (eds.) (2017). Arctic Yearbook 2017. Akureyri, Iceland: Northern Research Forum. [LINK]

NE Johnson, B Bonczak, CE Kontokosta: Using a gradient boosting model to improve the performance of low-cost aerosol monitors in a dense, heterogeneous urban environment, Atmospheric Environment, 2018 - Elsevier [LINK]

Pitidis V, Tapete D, Coaffee J, Kapetas L, Porto de Albuquerque J. Understanding the Implementation Challenges of Urban Resilience Policies: Investigating the Influence of Urban Geological Risk in Thessaloniki, Greece. Sustainability. 2018; 10(10):3573. [LINK]

Bradbury, M., Kenny, M., Kirk, R., Purser, D., Steadman, L., & Watson, G, 2019 Organising a Multidisciplinary Postgraduate Colloquium: A Critical Reflection. Exchanges: The Interdisciplinary Research Journal [LINK]


Health, Wellbeing and Society

Tsakalidis, A., Liakata, M., Damoulas, T., Jellinek, B., Guo, W. and Cristea, A.I., (2016). Combining heterogeneous user generated data to sense well-being. In Proceedings of the 26th International Conference on Computational Linguistics (pp. 3007-3018). [PDF]

W. Guo, N. Gupta, G. Pogrebna, S. Jarvis, "Understanding Happiness in Cities using Twitter: Jobs, Children, and Transport," IEEE International Smart Cities Conference, Italy, Sep 2016 [LINK]

Victoria Houlden, Scott Weich and Stephen A. Jarvis (2017). A cross-sectional analysis of green space prevalence and mental wellbeing in England. BMC Public Health, 17(Suppl 1):460 (May 2017), 9 pages. [LINK]

N. Tkachenko, S. Chotvijit, N. Gupta, E. Bradley, C. Gilks, W. Guo, H. Crosby, E. Shore, M. Thiarai, R. Procter, S. Jarvis. 2017. Google Trends can Improve Surveillance of Type 2 Diabetes. Nature Scientific Reports, 7:4993, 2017. [LINK]

Sarunkorn Chotvijit, Malkiat Thiarai, and Stephen Jarvis. "Big data analytics in social care provision: spatial and temporal evidence from Birmingham." Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age. ACM, 2018. [LINK]

Victoria Houlden, Weich, S., Porto de Albuquerque, J., Jarvis, S. and Rees, K, 2018, The relationship between greenspace and the mental wellbeing of adults: A systematic review. PLoS ONE [LINK]

Adam Tsakalidis, Maria Liakata, Theo Damoulas, Alexandra I. Cristea: Can We Assess Mental Health through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation. Accepted for publication in the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2018 Applied Data Science Track) [LINK]

Zakiyya Adam, Lukasz Walasek and Caroline Meyer. 2018. Workforce Commuting and Subjective Well-Being. Travel Behaviour and Society [LINK]

Sarunkorn Chotvijit, Malkiat Thiarai, and Stephen Jarvis. 2018. "A Study of Data Continuity in Adult Social Care Services" British Journal of Social Work. [LINK]

Klemmer, K., Neill, D., Jarvis, S.A. 2018. “Modeling Rape Reporting Delays Using Spatial, Temporal and Social Features” NIPS Workshop on Modeling and Decision-Making in the Spatiotemporal Domain [LINK]

Sarunkorn Chotvijit, Malkiat Thiarai, and Stephen Jarvis. 2018. "Maintaining Social Care Provision in the context of Financial Austerity" International Journal of Population Data Science [LINK]

Malkiat Thiarai, Sarunkorn Chotvijit, Stephen Jarvis, (2019) "Balancing information governance obligations when accessing social care data for collaborative research", Records Management Journal, Vol. 29 Issue: 1/2, pp.194-209, [LINK]

João Porto de Albuquerque, Godwin Yeboah, Vangelis Pitidis, Philipp Ulbrich:
Towards a Participatory Methodology for Community Data Generation to Analyse Urban Health Inequalities: A Multi-Country Case Study. HICSS 2019: 1-10 [LINK]



Sensors and Networks

Kontokosta, C. E. & Johnson, N. E. (2016). Urban Phenology: Using Wifi Data for Real-time, Localized Population Estimates. Presented at the Association for Public Policy Analysis and Management Conference [LINK]

Kontokosta, C.E. & Johnson, N. E. & Schloss, A. (2016). The Quantified Community at Red Hook: Urban Sensing and Citizen Science in Low-Income Neighborhoods. Paper presented at Bloomberg Data for Good Exchange Conference [PDF]

Constantine E. Kontokosta, Nicholas Johnson (2017). Urban Phenology: Toward a real time census of the city using wi-fi, Computers, Environment and Urban Systems, Volume 64, July 2017, Pages 144–153. [LINK]

Wilson M. Tan, Paul Sullivan, Hamish Watson, Joanna Slota-Newson, and Stephen A. Jarvis (2017). An indoor test methodology for solar-powered wireless sensor networks. ACM Trans. Embed. Comput. Syst. 16, 3, Article 82 (March 2017), 25 pages. [LINK]

Jack Kirton, Matthew Bradbury and Arshad Jhumka (2017). Source Location Privacy-Aware Data Aggregation Scheduling for Wireless Sensor Networks. The 37th IEEE International Conference on Distributed Computing Systems (ICDCS 17) 2017. [LINK]

Kirton, J. ,Bradbury M. , Jhumka, A. Towards optimal source location privacy-aware TDMA schedules in wireless sensor networks. Volume 26. 2018 [LINK]


Machine Learning, Agent-based Systems and Image Analysis

Zhenyu Li, James Davis, and Stephen Jarvis. 2017. An Efficient Task-based All-Reduce for Machine Learning Applications. In Proceedings of the Machine Learning on HPC Environments (MLHPC'17). ACM, New York, NY, USA, Article 2, 8 pages. [LINK]

Gregory Watson, Abhir Bhalerao: Person Re-Identification Using Partial Least Squares Appearance Modelling. ICIAP (2) 2017 [LINK]

Zhenyu Li, Stephen Jarvis : MapRDD: Finer Grained Resilient Distributed Dataset for Machine Learning. Proceedings of the 5th ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond [LINK]

Gregory Watson; Abhir Bhalerao: Person reidentification using deep foreground appearance modeling J. of Electronic Imaging [LINK]

Caroline Player and Nathan Griffiths (2017). Using tags to bootstrap trust and stereotypes (Extended Abstract) Autonomous Agents and Multi Agent Systems (AAMAS) 2017, 3 pages. [LINK]

Caroline Player and Nathan Griffiths (2017). Bootstrapping Trust and stereotypes with tags. Trust at Autonomous Agents and Multi Agent Systems (AAMAS) 2017, 15 pages. [LINK]

Addressing Concept Drift in Reputation Assessment: Extended Abstract, C.Player, N. Griffiths. AAMAS 2018, July 10-15, 2018, Stockholm, Sweden. [LINK]

Addressing Concept Drift in Reputation Assessment, C.Player, N. Griffiths. AAMAS 2018, July 10-15, 2018, Stockholm, Sweden. [LINK]

O. Styles, A. Ross, and V. Sanchez. Forecasting pedestrian trajectory with machine-annotated training data. In Intelligent Vehicles Symposium (IV), 2019. [LINK]


Natural Language Processing, Sentiment Analysis and Network Analysis

Townsend, R., Tsakalidis, A., Zhou, Y., Wang, B., Liakata, M., Zubiaga, A., Cristea, A. and Procter, R., (2015). From phrase-based to target-specific sentiment recognition. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015) (pp. 657-663). Association for Computational Linguistics. LINK

Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik. Stance classification in rumours as a sequential task exploiting the tree structure of social media conversations // Proceedings of the International Conference on Computational Linguistics. – Association for Natural Language Processing (ANLP), 2016. [PDF]

Trust at Autonomous Agents and Multi Agent Systems (AAMAS) 2017, 15 pages. [LINK]

Elena Kochkina, Maria Liakata, and Isabelle Augenstein (2017). Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM. In Proceedings of SemEval. ACL. [LINK]

Elena Kochkina, Maria Liakata, Arkaitz Zubiaga: All-in-one: Multi-task Learning for Rumour Verification. COLING 2018: [LINK]

Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Isabelle Augenstein: Discourse-aware rumour stance classification in social media using sequential classifiers. Inf. Process. Manage. [LINK]

Tsakalidis, Adam, Symeon Papadopoulos, Rania Voskaki, Kyriaki Ioannidou, Christina Boididou, Alexandra I. Cristea, Maria Liakata, and Yiannis Kompatsiaris. "Building and evaluating resources for sentiment analysis in the Greek language." Language Resources and Evaluation (2018): [LINK] 

Ravenscroft, J., Oellrich, A., Saha, S. and Liakata, M., (2016). Multi-label annotation in scientific articles—the multi-label cancer risk assessment corpus. In Proceedings of the 10th edition of the Language Resources and Evaluation Conference. [PDF]

Duma, D., Liakata, M., Clare, A., Ravenscroft, J. and Klein, E., (2016). Applying core scientific concepts to context-based citation recommendation. In Proceedings of the 10th edition of the Language Resources and Evaluation Conference. [PDF] 

Measuring scientific impact beyond academia: An assessment of existing impact metrics and proposed improvements
Ravenscroft J, Liakata M, Clare A, Duma D (2017) Measuring scientific impact beyond academia: An assessment of existing impact metrics and proposed improvements. PLOS ONE 12(3): e0173152. [LINK]

James Ravenscroft, Amanda Clare, Maria Liakata: HarriGT: A Tool for Linking News to Science. ACL (4) 2018: [LINK]

Brendan Whitaker, Denis Newman-Griffis, Aparajita Haldar, Hakan Ferhatosmanoglu, and Eric Fosler-Lussier. "Characterizing the impact of geometric properties of word embeddings on task performance". In the Third Workshop on Evaluating Vector Space Representations for NLP (RepEval 2019). [LINK]

Giannis Moutsinas, Choudhry Shuaib, Weisi Guo, Stephen Jarvis, Generalised trophic levels and graph hierarchy [LINK]


Mathematical Foundations: Privacy, Data Analysis and Verification

Dmitry Chistikov, Andrzej S. Murawski, David Purser Bisimilarity Distances for Approximate Differential Privacy. To appear International Symposium on Automated Technology for Verification and Analysis 2018. Preprint: [LINK]

Dmitry Chistikov, Andrzej S. Murawski, David Purser. Asymmetric Distances for Approximate Differential Privacy, CONCUR'19 [LINK]

Petr Jančar, David Purser, Structural Liveness of Petri Nets is ExpSpace-Hard and Decidable, Acta Informatica [LINK]

Graham Cormode, Tejas Kulkarni, Divesh Srivastava: Marginal Release Under Local Differential Privacy. SIGMOD Conference 2018: [LINK]

Graham Cormode, Somesh Jha, Tejas Kulkarni, Ninghui Li, Divesh Srivastava, Tianhao Wang: Privacy at Scale: Local Differential Privacy in Practice. SIGMOD Conference 2018: [LINK]

Graham Cormode, Jacques Dark: Fast Sketch-based Recovery of Correlation Outliers. International Conference on Database Theory, 26-29 March, 2018: [LINK]

Graham Cormode, Jacques Dark, Christian Konrad Approximating the Caro-Wei Bound for Independent Sets in Graph Streams. International Symposium on Combinatorial Optimisation, April 11-13, 2018: [LINK]

Graham Cormode, Jacques Dark, Christian Konrad: Independent Sets in Vertex-Arrival Streams. CoRR abs/1807.08331 (2018)

Graham Cormode, Tejas Kulkarni, Divesh Srivastava: Constrained Private Mechanisms for Count Data. ICDE 2018: 845-856 [LINK]