GENESIS Web 2.0 Agent City Simulation: Establishing a user community and enabling collaborators to manipulate simulations and develop models Andy Turner.

Slides:



Advertisements
Similar presentations
NCeSS e-Stat quantitative node Prof. William Browne & Prof. Jon Rasbash University of Bristol.
Advertisements

Geo-spatial and Visualisation L&T materials - the e-MapScholar project Moira Massey ALT-C 2002 University of Sunderland.
Customer First : Strategic Context and Opportunities Rory Mair.
QMSS2, Leeds, 02-09/07/09 Dynamic population model and an application for Leeds B.M.Wu School of Geography University of Leeds.
Copyright Information Here Junaid Arshad 1, Wei Jie 2, Andy Turner 1 University of Leeds 1, University of Manchester 2, UK Securing.
1 Stephen Potter University of Edinburgh Building Collaborative eResearch Environments Virtual Organisations and Collaborative Environments.
E-Social Science: scaling up social scientific investigations Alex Voss, Andy Turner (ESRC National Centre for e-Social Science) Gabor Terstyanszky, Gabor.
Future Research Directions in Agent Based Modelling Workshop, Leeds, UK, Large Scale Social Simulation in Java and the NeISS Project Andy Turner.
ACETACET/PEDAL Seminar, School of Systems Engineering, University of Reading PEDALSchool of Systems EngineeringUniversity of Reading Developing.
Understanding Population Trends and Processes: Links between internal migration, commuting and within household relationships Oliver Duke-Williams School.
GEODE Workshop 16 th January 2007 Issues in e-Science Richard Sinnott University of Glasgow Ken Turner University of Stirling.
The e-Social Science Research Agenda Peter Halfpenny and Rob Procter School of Social Sciences - University of Manchester UK e-Science All Hands Meeting.
Modelling and Simulation for e-Social Science Mark Birkin School of Geography University of Leeds.
MoSeS meets NEC 10 th March 2008 MoSeSMoSeS Andy Turner
Alternative Futures – ASAP Research Cluster Seminar 16 th November 2005 MoSeS Starts for the Promised Land Andy Turner Outline –Introduction –Population.
SEE-GEO Meeting 20 th March 2008 NCeSS e-Infrastructure for the Social Sciences Project: Security and Geospatial Services Andy Turner
International Symposium on Grid Computing 2010 Applications on Humanities & Social Sciences I Taipei, Taiwan ( ) GENESIS Social Simulation Modelling.
Oxford eResearch Conference 2008 Paper Session 4A: NCeSS Oxford, UK, ( ) Experience of e-Social Science: A Case of Andy Turner and MoSeS Andy.
UK e-Science and the White Rose Grid Paul Townend Distributed Systems and Services Group Informatics Research Institute University of Leeds.
The NGS Roadshow Bath Geodemographic Modelling on the NGS Andy Turner
Competency with the Census E. Turner CSU Northridge FOR MORE INFO...
E-Infrastructure Use Cases and Service Usage Models (eIUS) & Barriers to Uptake Matthew Mascord eIUS Project Manager/Analyst NGS Users Forum, OeRC, 19.
Individual and Household Level Estimates Based on 2001 UK Human Population Census Data Andy Turner CSAP Seminar on Microsimulation: Problems and Solutions.
CCG 1 MoSeS Introduction and Progress Report Andy Turner
GIS and Grid Computing Agenda Setting Workshop WELCOME! Andy Turner MoSeS.
School of Geography CENTRE FOR SPATIAL ANALYSIS AND POLICY e-Infrastructure for Large-Scale Social Simulation Mark Birkin Andy Turner.
E-Social Science: scaling up social scientific investigations Alex Voss, Andy Turner, Rob Procter National Centre for e-Social Science Gabor Terstyanszky,
Modelling and Simulation for e-Social Science (MoSeS) Mark Birkin, Martin Clarke, Phil Rees, Andy Turner, Belinda Wu (School of Geography) Haibo Chen (Institute.
An Introduction to Social Simulation Andy Turner Presentation as part of Social Simulation Tutorial at the.
Andy Turner On MoSeS 28 th March 2007 Andy Turner On MoSeS Andy Turner
MOSES: Modelling and Simulation for e-Social Science Mark Birkin, Martin Clarke, Phil Rees School of Geography, University of Leeds Haibo Chen, Institute.
Studying Geography The Big Idea
Digital | Curation | Centre The UK Digital Curation Centre Michael Day UKOLN, University of Bath (with thanks to Peter Burnhill, Chris Rusbridge, et al.)
Manchester Computing Supercomputing, Visualization & e-Science OntoGrid GridPrimer Training University of Manchester 18 th to 22 nd October 2004 ConvertGrid:
Engineering & Physical Sciences Research Council.
Constructing Individual Level Population Data for Social Simulation Models Andy Turner Presentation as part.
Chapter 1- Introduction
Centre for Earth Systems Engineering Research Infrastructure Transitions Research Consortium (ITRC) David Alderson & Stuart Barr What is the aim of ITRC?
GridPP Tuesday, 23 September 2003 Tim Phillips. 2 Bristol e-Science Vision National scene Bristol e-Science Centre Issues & Challenges.
Interoperability ERRA System.
Neuroinformatics in the United Kingdom David Willshaw Institute for Adaptive & Neural Computation School of Informatics University of Edinburgh, UK.
ICT for Rural Development. Topics Introduction Introduction Information Revolution Information Revolution What is ICT What is ICT Potential Uses of ICTs.
Logistics and Systems Rabby Q. Lavilles. Supply chain is a system of organizations, people, technology, activities, information and resources involved.
Exploring Metropolitan Dynamics with an Agent- Based Model Calibrated using Social Network Data Nick Malleson & Mark Birkin School of Geography, University.
Geodemographic modelling collaboration Alex Voss, Andy Turner Presentation to Academia Sinica Centre for Survey Research
Providing Access to Census- based Interaction Data in the UK: That’s WICID! John Stillwell School of Geography, University of Leeds Leeds, LS2 9JT, United.
Page 1 CM International VERITE Kick Off Meeting Specifications for Main Activities Supply Chain Management Workshop VERITE Kick Off Meeting, 29 November.
E-Research and the Transformations of Knowledge Ralph Schroeder Eric T. Meyer Oxford Internet Institute Oxford e-Social Science node of NCeSS Presented.
WICID AND THE 2001 INTERACTION DATA John Stillwell and Oliver Duke-Williams School of Geography, University of Leeds Presentation at the Ninth International.
SEEDS Technology Infusion Study ESIP Federation SEEDS Cluster Group Meeting: SEEDS Capability Vision Development ESTO & SEEDS - Karen Moe SEEDS - David.
Supporting education and research JISC Strategy for Support of eResearch Nicole Harris JISC Programme Manager.
FDOT Transit Office Modeling Initiatives The Transit Office has undertaken a number of initiatives in collaboration with the Systems Planning Office and.
Web Access to Census Interaction Data John Stillwell and Oliver Duke-Williams Centre for Computational Geography University of Leeds, Leeds LS2 9JT Paper.
Population Census Data Dissemination through Internet H. Furuta Lecturer/Statistician SIAP 1 Training Course on Analysis and Dissemination of Population.
Infrastructures for Social Simulation Rob Procter National e-Infrastructure for Social Simulation ISGC 2010 Social Simulation Tutorial.
Combining the strengths of UMIST and The Victoria University of Manchester “Use cases” Stephen Pickles e-Frameworks meets e-Science workshop Edinburgh,
Digital Libraries Lillian N. Cassel Spring A digital library An informal definition of a digital library is a managed collection of information,
Attachment 1 APEC-TPT ITS Group Action Plan (proposed) 17th APEC-TPT Meeting March 2000 DRAFT CONGESTION AHEAD Mr. Walter Kulyk US DOT, Federal Transit.
HIMMELI - Heuristic three-level Instrument combining urban Morphology, Mobility, service Environments and Locational Information Morphologically structured.
Unit – I Presentation. Unit – 1 (Introduction to Software Project management) Definition:-  Software project management is the art and science of planning.
Technology-enhanced Learning: EU research and its role in current and future ICT based learning environments Pat Manson Head of Unit Technology Enhanced.
The National Grid Service Mike Mineter.
OGC/OGF usage in UK e-Social Science OGF 21, Seattle, USA Paul Townend School of Computing, University of Leeds.
EGI-InSPIRE RI EGI-InSPIRE EGI-InSPIRE RI Communication: The Key to Future Funding Catherine Gater, EGI.eu EGI Community.
NERC e-Science Meeting Malcolm Atkinson Director & e-Science Envoy UK National e-Science Centre & e-Science Institute 26 th April 2006.
RC ICT Conference 17 May 2004 Research Councils ICT Conference The UK e-Science Programme David Wallace, Chair, e-Science Steering Committee.
Reality-TV show promoting sustainable mobility: Fact or Fable?
Developing a daily time step individual level demographic simulation model Andy Turner Presentation slides prepared for a CSAP research cluster meeting,
Introduction to Mobile Computing
Presentation transcript:

GENESIS Web 2.0 Agent City Simulation: Establishing a user community and enabling collaborators to manipulate simulations and develop models Andy Turner eSI Workshop: The Influence and Impact of Web 2.0 on Various Applications Edinburgh, UK,

Outline Introduction GENESIS Modelling Specifying Agents in GENESIS User control of Agents in GENESIS Web 2.0 –Encouraging users –Open development Issues and Feedback

Introduction 1/7 Presentation slides available via my blog for this meeting Andy Turner – –Research scientist Based at the University of Leeds Specialising in e-Science and Computational Geography –Blogging what work I do as I do it

Introduction 2/7 SIM-UK –Origins in March 2005 –Group organisation Andy Turner's SIM-UK Web Page –Collaborative project Andy Turner's SIM-UK Project Web Page –Generating funding proposal phase...

Introduction 3/7 GENESIS – –Generative e-Social Science for Socio-Spatial Simulation –A second phase research node of the UK National Centre for e-Social Science (NCeSS) –Funded by UK Economic and Social Research Council (ESRC) –Development of Social Simulation models

Introduction 4/7 NeISS – –National e-Infrastructure for Social Simulation –Funded by UK Joint Information Systems Committee(JISC) Information Environment Programme project –To build a generic production quality social simulation e-Infrastructure covering the social simulation lifecycle –Provision of e-Infrastructure that can allow others to develop and use Social Simulation models

Introduction 5/7 Geographic Agent Based Modelling –Geographic About interaction on or near the surface of earth Space-time-attribute It is about people and their environment –Agent Based Modelling Distinguishes an Environment and Agents that operate within it

Introduction 6/7 –Environment Provides the overall spatial and temporal extent and detail Has distributed attributes which are seeded and then developed as a result of agent interaction –Agents Individual entities that may interact both with other agents and with the Environment

Introduction 7/7 –Digital demographic representation of a person –General characteristics Date of birth Location Memory Current activity Scheduled activites –Default behaviours Individual Human Agents –Special characteristics –Residential locations –Preferences –...

GENESIS modelling 1/2 Demographic/Migration model –Daily time step –Birth –Death –Migration type person movements Traffic/Transportation model –Second time step –Initial focus on travel to work Incorporate travel to school Incorporate other journeys

GENESIS modelling 2/2 Major issues –Visualisation For development and for communicating model results –Constraining movement –Parallelisation –Data handling

Specifying Agents in GENESIS 1/2 Crux: Basic idea –To get a model running based on available data as an initial estimate of peoples movements Allow users to specify Agents movements in the models and modify and detail the movements in the simulation to reflect what people do/did in reality

Specifying Agents in GENESIS 2/2 Initial seeding the Traffic/Transport model –2001 UK Census data for commuting –National Pupil Database (NPD) Pupil Level Annual School Census (PLASC) –Other survey data and transportation models that suggest levels of movement

User control of Agents in GENESIS Issues and concerns –What interface? –Security and trust –How to plug in? –Better to focus on getting input from commercial organisation data? Travel card (e.g. TFL Oyster) Mobile phone networks Credit card companies

Web 2.0 Getting users and Open Development What carrot? –Why should users want the application? A game? Some useful function like meeting or avoiding people Need for –Quality –Responsive development Open source to open development

Issues and Feedback Starting the main Web 2.0 work –What to start with? Considering developing an Open Social Application – –Target users of popular social networking tools and travel management tools Any questions/comments? –

Thanks and Acknowledgements eResearch community –NCeSS University of Leeds –School of Geography –Centre for Computational Geography EC/ESRC/JISC Organisers You