Mirco Musolesi's Homepage - Reader in Data Science at University College London





 


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Mirco Musolesi

Reader in Data Science
Intelligent Social Systems Lab
Geospatial Analytics and Computing Group
Department of Geography
University College London

Faculty Fellow
The Alan Turing Institute


Mail address:
Department of Geography, University College London
Pearson Building
Gower Street WC1E 6BT London, United Kingdom

Office Room: 213 Pearson Building (second floor)
Phone: +44 (0)20 7679 0567
Email: m.musolesi [AT] ucl.ac.uk
Twitter: @mircomusolesi


Office Hours First Term:
Mondays 4-5pm
Fridays 3-5pm
Please check any variations here




I am a Reader (roughly equivalent to an Associate Professor in the North-American academic system) at the Department of Geography at University College London, where I lead the Intelligent Social Systems Lab. We are part of the Geospatial Analytics and Computing Group

I am also a Faculty Fellow of the recently opened Alan Turing Institute, the UK National Institute for Data Science.

At UCL I am involved in the activities of the UCL Institute for Digital Health and I am a member of the UCL Academic Centre of Excellence in Cyber Security Research.

I am a computer scientist with a strong interest in sensing, modelling, understanding and predicting human behaviour and dynamics in space and time, at different scales, using the "digital traces" we generate daily in our online and offline lives. I am interested in developing mathematical and computational models as well as implementing real-world systems based on them. This work has applications in a variety of domains, such as 1) the design of intelligent systems, in particular ubiquitous computing systems and networked systems; 2) healthcare and epidemiology; 3) security&privacy; 4) and data science for "social good".


What's New

- We won the Best Paper Award at ACM UbiComp 2016
for our paper "PrefMiner: Mining User's Preferences for Intelligent Mobile Notification Management".

- At ACM UbiComp 2016 we will also present the paper "Towards Multi-modal Anticipatory Monitoring of Depressive States through the Analysis of Human-Smartphone Interaction" at the "Mental Health: Sensing and Intervention Workshop" colocated with UbiComp 2016.


- Our paper "Spatio-temporal Networks: Reachability, Centrality and Robustness" has been published in Royal Society Open Science. The work was also covered by the Evening Standard.

- Our paper "A Multilayer Approach to Multiplexity and Link Prediction in Online Geo-Social Networks" has been published in EPJ Data Science.

 
- We have been awarded a Google Internet of Things (IoT) Technology Research Award.

- I am one of the inaugural Faculty Fellows of the Alan Turing Institute, the UK National Institute for Data Science.

- Our paper "My Phone and Me: Understanding People's Receptivity to Mobile Notifications" discussing various aspects of the reactions to (and interactions with) mobile notifications has been accepted for publication at ACM CHI'16 in the main research track. This is a data-driven and quantitative study that sheds a light on the actual use and impact of notifications on smartphones.

- Two full papers accepted at WWW'16: the paper "
Measuring Urban Social Diversity Using Interconnected Geo-Social Networks" proposes a novel approach to the study of urban diversity using interconnected geo-social networks, with an analysis of human mobility and behaviour in London, whereas the paper "Who Benefits from the Sharing Economy of Airbnb?" analyses the penetration of Airbnb again in London also in relation to the geo-demographic characteristics of the various areas of the capital.

 - Our paper "Investigating Causality in Human Behavior from Smartphone Sensor Data: A Quasi Experimental Approach" introducing a novel quasi-experimental approach for analysing causality (vs correlation) in human behaviour using sensor data collected by means of ubiquitous devices has been published in EPJ Data Science. In this paper we try to answer the following question: can we detect causality in a dataset even if we did not design the experiments and control groups? 


Upcoming Events

I will be Program Committee Co-Chair of the Mobicase 2016 and PervasiveHealth 2017 conferences.


I  am currently involved in the following upcoming scientific events. Please consider submitting your work to and attending these conferences and workshops:
 
- 26th International World Wide Web Conference (WWW 2017) - Ubiquitous and Mobile Computing Track [PC Member]
- 10th ACM International Conference on Web Search and Data Mining (ACM WSDM 2017) [PC Member]
- 36th IEEE International Conference on Computer Communications (IEEE INFOCOM 2017) [PC Member]
- 15th IEEE International Conference on Pervasive Computing and Communications (IEEE PerCom 2017) [PC Member]
- 17th ACM/IFIP/USENIX Middleware Conference (ACM/IFIP/USENIX Middleware'16) [PC Member]
- 11th ACM Workshop on Challenged Networks (CHANTS 2016) at ACM MobiCom 2016 [PC Member]


[Past events]



Research Opportunities

Undergraduate and Master Students at UCL. Undergraduate and Master projects under my supervision are usually "research-oriented", i.e., they are related to research topics we are currently investigating in my group. More in general, please do not hesitate to contact me if you are interested in a project or in being involved in the activities of my lab. Also, if you are a first or second year Undergraduate student at UCL and you are interested in doing a (paid) research internship in my group during the summer just come to my office or drop me an email (also in order to explore the possibility of doing a PhD after your degree).

Ph.D. Students. I am looking for students interested in pursuing a Ph.D. in Data Science, Ubiquitous Computing, and Networked Systems in my lab. If you are interested please contact me by email in order to discuss the funding of your studies (such as available postgraduate studentships and other potential sources of Ph.D. funding). 


Postdoctoral Research Associates.
I am happy to discuss postdoc opportunities in my group, also potentially through fellowships such as those offered through the Newton Fund, EU Skłodowska-Curie Actions or the Fulbright Scholar Program.

Researchers and Industrial Collaborations
. I am happy to discuss possible visits of UG/Master/Ph.D. students and researchers in my group. I am also happy to discuss potential collaborations with companies and other organisations interested in the research activities of our lab.


Preprints

Model-free Causality Detection: An Application to Social Media and Financial Data

Fani Tsapeli, Mirco Musolesi and Peter Tino
Submitted for Publication. Preprint available on arXiv:1601:03610
[PDF]  [BibTex]


Progmosis: Evaluating Risky Individual Behavior During Epidemics Using Mobile Network Data
Antonio Lima, Luca Rossi, Veljko Pejovic, Mirco Musolesi and Marta Gonzalez
Preprint available on arXiv: arXiv:1504.01316
[PDF]  [BibTex]



Recent Publications

Anticipatory Mobile Digital Health: Towards Personalised Proactive Therapies and Prevention Strategies
Veljko Pejovic, Abhinav Mehrotra and Mirco Musolesi
Book Chapter in Mihai Nadin (Ed.) Anticipation and Medicine. Springer. 2017. To Appear.
[PDF]  [BibTex]



PrefMiner: Mining User's Preferences for Intelligent Mobile Notification Management
Abhinav Mehrotra, Robert Hendley and Mirco Musolesi
In Proceedings of the 2016 International Joint Conference on Pervasive and Ubiquitous Computing (ACM UbiComp'16). Heidelberg, Germany. September 2016. Best Paper Award.
[PDF]  [BibTex]

Towards Multi-modal Anticipatory Monitoring of Depressive States through the Analysis of Human-Smartphone Interaction
Abhinav Mehrotra, Robert Hendley and Mirco Musolesi
In Proceedings of 1st Mental Health: Sensing and Intervention Workshop. Colocated with ACM UbiComp'16. Heidelberg. Germany. September 2016.
[PDF]  [BibTex]

A Multilayer Approach to Multiplexity and Link Prediction in Online Geo-Social Networks
Desislava Hristova, Anastasios Noulas, Chloe Brown, Mirco Musolesi and Cecilia Mascolo
In EPJ Data Science. Volume 5. Number 24. July 2016. Springer.
[PDF]  [BibTex]
 

Spatio-Temporal Networks: Reachability, Centrality and Robustness

Matthew J. Williams and Mirco Musolesi
In Royal Society Open Science. Volume 3. Number 6. Royal Society Publishing. June 2016.
[HTML] [PDF]  [BibTex]


My Phone and Me: Understanding People's Receptivity to Mobile Notifications
Abhinav Mehrotra, Veljko Pejovic, Jo Vermeulen, Robert Hendley and Mirco Musolesi
In Proceedings of the 2016 ACM International Conference on Human Factors in Computing Systems (ACM CHI'16). San Jose, CA, USA. May 2016.
[PDF]  [BibTex]

Measuring Urban Social Diversity Using Interconnected Geo-Social Networks

Desislava Hristova, Matthew J. Williams, Mirco Musolesi, Pietro Panzarasa and Cecilia Mascolo
In Proceedings of the 25th World Wide Web Conference  (WWW'16). Montreal, Canada. April 2016.
[PDF]  [BibTex]

Who Benefits from the "Sharing" Economy of Airbnb?

Giovanni Quattrone, Davide Proserpio, Daniele Quercia, Licia Capra and Mirco Musolesi
In Proceedings of 25th World Wide Web Conference (WWW'16). Montreal, Canada. April 2016.
[PDF] [BibTex]

Mobile-based Experience Sampling for Behaviour Research
Veljko Pejovic, Neal Lathia, Cecilia Mascolo and Mirco Musolesi
Book chapter in Marko Tkalcic, Nadja DeCarolis, Marco de Gemmis, Ante Odic, Andrej Kosir (Eds). Emotions and Personality in Personalized Services. Springer. 2016.
[PDF]  [BibTex]


Investigating Causality in Human Behavior from Smartphone Sensor Data: A Quasi Experimental Approach
Fani Tsapeli and Mirco Musolesi.
In EPJ Data Science. Volume 4. Issue 24. Springer.  December 2015.
[PDF[BibTex]

Trajectories of Depression: Unobtrusive Monitoring of Depressive States by means of Smartphone Mobility Traces Analysis SIGCHI Conference Proceedings
Luca Canzian and Mirco Musolesi
In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (ACM UbiComp'15). Osaka, Japan. September 2015.
[PDF]  [BibTex]

Designing Content-driven Intelligent Notification Mechanisms for Mobile Applications
Abhinav Mehrotra, Mirco Musolesi, Robert Hendley and Veljko Pejovic

In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (ACM UbiComp'15). Osaka, Japan. September 2015.
[PDF]  [BibTex]

SIGCHI Conference Proceedings Forma
Ask, Don't Interrupt: The Case for Interruptibility-Aware Mobile Experience Sampling
Abhinav Mehrotra, Jo Vermeulen, Veljko Pejovic and Mirco Musolesi
In Proceedings of  the 4th ACM Workshop on Mobile Systems for Computational Social Science (ACM MCSS'15). Colocated with ACM UbiComp'15. Osaka, Japan. September 2015.
[PDF]  [BibTex]

Investigating the Role of Task Engagement in Mobile Interruptibility
Veljko Pejovic, Abhinav Mehrotra, and Mirco Musolesi
In Proceedings of the 1st ACM Workshop on Intelligent Attention Management on Mobile Devices. Colocated with ACM MobileHCI'15. Copenhagen, Denmark. August 2015.
[PDF]  [BibTex]

Spatio-temporal Techniques for User Identification by means of GPS Mobility Data
Luca Rossi and Mirco Musolesi
In EPJ Data Science. 2015. Volume 4. Issue 11. Springer. August 2015.
[PDF]  [BibTeX]


Disease Containment Strategies based on Mobility and Information Dissemination
Antonio Lima, Manlio De Domenico, Veljko Pejovic and Mirco Musolesi
In Nature Scientific Reports. 5:10650. Nature Publishing Group. June 2015.
[PDF]  [HTML]  [BibTex]


Privacy and the City: User Identification and Location Semantics in Location-Based Social Networks
Luca Rossi, Matthew J. Williams, Christopher Stich, and Mirco Musolesi
In Proceedings of the 9th International AAAI Conference on Web and Social Media (AAAI ICWSM'15). Oxford, United Kingdom. May 2015.
[PDF]  [BibTex]

On the k-Anonymization of Time-varying and Multi-layer Social Graphs

Luca Rossi, Mirco Musolesi and Andrea Torsello
In Proceedings of the 9th International AAAI Conference on Web and Social Media (AAAI ICWSM'15). Oxford, United Kingdom. May 2015.
[PDF]  [BibTex]

Anticipatory Mobile Computing: A Survey of the State of the Art and Research Challenges
Veljko Pejovic and Mirco Musolesi
In ACM Computing Surveys. Volume 47. Issue 3. ACM Press. April 2015.
[PDF]  [BibTeX]


Explaining the Power-Law Distribution of Human Mobility Through Transportation Modality Decomposition
Kai Zhao, Mirco Musolesi, Pan Hui, Weixiong Rao and Sasu Tarkoma
In Nature Scientific Reports. 5:9136. Nature Publishing Group. March 2015.
[PDF]  [HTML]  [BibTeX]

[Full list of publications and my Google Scholar page]





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Last updated: 24 September 2016