- Events:
- Those I plan to attend/attended:
- The 5th International Conference on e-Social Science
- First Open Source GIS UK Conference at Centre for Geospatial Science
- Mark Baker: eSI Public Lecture: "How Web 2.0 Technologies and Innovations are Changing e-Research Activities"
- Workshop "AGILE/EuroSDR/OGC Persistent Testbed for Research and Teaching in Europe"
- Events on the horizon:
- ComputationWorld 2009
- Workshop on The impact and influence of Web 2.0 on e-Research
- Held in conjunction with OGF27, co-located with WestGrid's Annual Conference and hosted by Cybera
- 2009-10-12 to 2009-10-16, The Banff Centre, Banff, Alberta, Canada
- European Conference on Complex Systems 2009 (ECCS'09)
- Workshop on The impact and influence of Web 2.0 on e-Research Infrastructure, Services and Applications
- Held in conjunction with the IEEE International Conference on Cluster Computing (Cluster 2009)
- 2009-08-29 to 2009-09-04, New Orleans, Louisiana, USA
- ESRC Microsim seminar: Beyond tax-benefit modelling 2009-07-02
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- Browsing
- e-Science
- MoSeS
- Preparing data for UKDA and Belinda
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- Write code to output household population households identifiers.
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- Browsing
- e-Science
- Attending the 5th International Conference on e-Social Science
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- e-Science
- Attending the 5th International Conference on e-Social Science
- GENESIS, PhD
- Registered to download NaPTAN data
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- Browsing
- e-Science
- Attending the 5th International Conference on e-Social Science
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- Browsing
- e-Science
- e-ISS
- Updated web forwarding for the domain neiss.org.uk on host 123-reg so that http://www.neiss.org.uk should forward to:
- National e-Infrastructure for Social Simulation (NeISS) Home Page
- Instead of:
- The NCeSS Sakai Portal : e-ISS Worksite : Wiki : Home Page
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- e-Science
- Preparation for the 5th International Conference on e-Social Science
- Submitted the following NGS Renewal Application for MoSeS/GENESIS work:
- Renewal Case
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This allocation is for MoSeS (http://www.geog.leeds.ac.uk/people/a.turner/projects/MoSeS/) and GENESIS (http://www.geog.leeds.ac.uk/people/a.turner/projects/GENESIS/) work.
All the details of this research are available via these links and progress was presented at the last UK e-Science All Hands Meeting.
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MoSeS involved the development of a demographic model of the UK and the creation of individual and household level population datasets for the UK for 2001.
These data have approximately 60 million records and are constructed as an integration of various UK 2001 Census data outputs.
These are currently under going a process of submission to the Economic and Social Data Service at the UK Data Archive.
Unfortunately progress on the development of the demographic model for MoSeS hit a number of technical problems in the last year.
This meant that only a fraction of the resources asked for were used.
Further testing has resolved these issues and I am ready to use the substantial resources allocated for the demographic modelling in the next two months.
I did have the same belief last year, but now we have completed some tests and are confident this work can be pushed through in the next two months.
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GENESIS builds on MoSeS to develop dynamic city and regional models incorporating detailed socio-economics.
Over the next 3 years we hope to develop these models and exploit NGS resources to produce outputs to put online and present at International conferences.
- Case Summary
- 200000 CPU Hours
- 10GB Disk Storage
- 10GB SRB Storage
- MoSeS
- Output data for UKDA and Belinda
- Need to process this again for Individual SAR Household Populations to group results for households and control constrain so that there is only one HRP per household...
- Testing NGS:
- https://ngs.leeds.ac.uk:64288/12008/1245663939/
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- e-Science
- GENESIS, PhD
- Developed GenerateSociety_5
- People (Agents) move about freely in the limits of a grid. The time they spend in a cell is recorded in an aggregate fashion for the population density.
- People are randomly located and have a randomly set destination location within some distance and are set a speed at which they are moving.
- The route an agent takes is direct, but this should hopefully be determined by the agent based on its knowledge and the environment in later versions.
- GenerateSociety_5 is still incomplete.
- Next steps
- Agents to collect resources and have their resource levels effect their fertility (reproduction) and mortality (survival) rate.
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- Generate a vector route map
- The underlying reason/theory is based on an assumption that once an agent has traversed a from one location to the other, the route will be easier to follow for any agent.
- There should probably be some path degradation made explicit as in when paths get overgrown and become harder to find over time.
- It may be that the assumption only works to some degree and that when a path is used too much, it also degrades.
- When routing in the future it may be that based on knowledge of the agent and a study of any paths it comes across and a calculation of where the path is heading and where the agent is heading an agent can decide on a non-direct route from one location to the next.
- GENESIS Meeting
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- Browsing
- e-Science
- e-ISS
- Data
- OpenStreetMap is one of the key organisations and data providers for Social Simulation.
- As part of NeISS should we look to provide a server to help support OSM?
- Preparation for the 5th International Conference on e-Social Science
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- Browsing
- e-Science
- Preparation for the 5th International Conference on e-Social Science
- Draft Introduction to the ideas behind social simulation
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To start with the context of social simulation is described, its application is generally described and some examples of some specific applications are outlined.
Modelling reality is about developing a digital representation of it which is necessarily generalised.
The focus of social simulation is on modelling a social organisation and how it interacts within an environment in a dynamic way.
The social organisation is one of agents which are individual social actors.
Time is represented as a number which increments at some specified resolution.
Agents tend to have a variable spatial influence within the environment and modifiable attributes which define their state.
The environment defines the spatial domain which tends to be represented either in 2 dimensions or 3.
Agents may organise as collections which share communication to change state in similar ways.-
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From this agent based modelling basis models can be developed that represent societies; past, present and future.
This is done to study and understand how the society changes and how agents interact with each other and the environment.
Models of human interactions can be built where the atomic agents represent people.
These can be developed and used for a wide range of applications.
They can be used to predict/forecast/estimate change and analyse risk and identify critical parts of a system.
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Some social simulations applications of topical interest:
Modelling the spread of disease.
Modelling the evacuation of buildings and regions.
Modelling the change in population over time for health and service planning.
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- Browsing
- Miscellanea
- PC Crash Nightmare :-(
- It is probably sensible to arrange to get a new desktop machine soon...
- e-Science
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- Preparations for the 5th International Conference on e-Social Science
- Got an account on crowdvine:
- Conference Tag: #essConf09
- An introduction into the ideas behind social simulation
- Lost this due to failure to save and my PC Crashed :-(
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- Browsing
- e-Science
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- Preparations for the 5th International Conference on e-Social Science
- Planning a meeting with Meik Poschen and Martin Turner
- Presentation of SEE-GEO
- Chris Higgins sent some slides
- I am to look at these and plan a double act with Rich Sinnott, getting back to Rich this week.
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