Abstract of the Sessions:
In recent years, human emotions, intentions, moods and behaviors have
been digitised to an extent previously unimagined in the social
sciences. This has been in the main due to the rise of a vast array of
new data, termed 'Big Data'. These new forms of data have the potential
to reshape the future directions of social science research, in
particular the methods that scientists use to model and simulate
spatially explicit social systems. Given the novelty of this potential
"revolution" and the surprising lack of reliable behavioral insight to
arise from Big Data research, it is an opportune time to assess the
progress that has been made and consider the future directions of
socio-spatial modelling in a world that is becoming increasingly well
described by Big Data sources.
In these sessions we will have methodological, theoretical and empirical papers that that
engage with any aspect of geospatial modelling and the use of Big Data.
We are particularly interested in the ways that insight into individual
or group behavior can be elucidated from new data sources - including
social media contributions, volunteered geographical information, mobile
telephone transactions, individually-sensed data, crowd-sourced
information, etc. - and used to improve models or simulations. Topics
include, but are not limited to:
- Using Big Data to inform individual-based models of geographical systems;
- Translating Big Data into agent rules;
- Elucidating behavioral information from diverse data;
- Improving simulated agent behavior;
- Validating agent-based models (ABM) with Big Data;
- Ethics of data collected en masse and their use in simulation.
Wednesday, 4/22/2015.
8:00 AM - 9:40 AM.
600a Classroom, University of Chicago Gleacher Center, 6th Floor.
Chair: Nick Malleson
Abstracts:
*Atsushi Nara:
A GPGPU approach for simulating and analyzing human dynamics*Kira Kowalska, John Shawe-Taylor and Paul Longley:
Data-driven modelling of police patrol activity*Martin Zaltz Austwick, Gustavo Romanillos Arroyo and Borka Moya-Gomez:
Simulating Rush Hour Bicycle Traffic in Madrid*Hai Lan and Paul Torrens:
Voxel based Cellular Automata with massive cells for Geo-simulation: Ice dynamics simulation in Antarctic locations as example*Philippe J. Giabbanelli, Thomas Burgoine, Pablo Monsivais and James Woodcock:
Using big data to develop individual-centric models of food behaviours
2292 Geosimulation and Big Data: A Marriage made in Heaven or Hell? (2)
Wednesday, 4/22/2015.
10:00 AM - 11:40 AM.
600a Classroom, University of Chicago Gleacher Center, 6th Floor.
Chair: Alison Heppenstall
Abstracts:
*Kostas Cheliotis:
Coupling Public Space Simulations with Real-Time Data Streams*Andrew Crooks and Sarah Wise:
Leveraging Crowdsourced data for Agent-based modeling: Opportunities, Examples and Challenges*Ed Manley, Chen Zhong and Michael Batty:
Towards Real-Time Simulation of Transportation Disruption - Building Agent Populations from Big Mobility Data*Alison Heppenstall, *Nick Malleson and Andrew Evans:
Evaluating Big Data demographics for population modellingMuhammad Adnan, Alistair Leak and *Paul Longley:
Exploring the geo-temporal patterns of Twitter messages
2492 Geosimulation and Big Data: A Marriage made in Heaven or Hell? (3) Discussion Session
Wednesday, 4/22/2015.
1:20 PM - 3:00 PM.
600a Classroom, University of Chicago Gleacher Center, 6th Floor.
Chair: Nick Malleson
Abstracts:
*Paul M Torrens and Hai Lan:
Micro big data and geosimulation*Mark Birkin:
The Ten Commandments of Big Data2:00 PM to 3:00PM: Discussion
Organizers
- Alison Heppenstall, School of Geography, University of Leeds
- Nick Malleson, School of Geography, University of Leeds
- Andrew Crooks, Department of Computational Social Science, George Mason University
- Paul Torrens, Department of Geographical Sciences, University of Maryland
- Ed Manley, Centre for Advanced Spatial Analysis, University College London
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