Text version

    Research Methods ESRC

Festival Home

Programme

Photos

Venue

Travel

Contact

 

Linked Events

Related Courses

Other
Accommodation

 

 

RMP Home



Urban & regional systems (1)

Bookings for the conference have now closed. Back to the Programme.

 

Date:   Thursday 20 th July

Venue: Room 1, 1st floor, Arumugam Building

Time:   9.15-12.45

 

Title: Optimising the Use of Partial Information in Urban and Regional Systems

Organiser: Professor Hugh Neffendorf, Katalysis; University of Southampton

OPUS (Optimising the Use of Partial Information in Urban and Regional Systems) is a three year European Commission (Eurostat) project that has been developing a generic statistical framework for the optimal combination of complex spatial and temporal data from survey and non-survey sources. See www.opus-project.org . It will have reached its conclusion in April 2006. The sessions will report on the findings, methodology, metadata framework and tools developed by OPUS and will also include presentations by other specialists involved in Bayesian statistical analysis and data combination.

Morning Session: OPUS Method Development

Chair: Professor Marcus Wigan, Oxford Systematics, Australia; Napier University

Overview

9.15-9.45

Introduction: the challenge of OPUS

John Polak, Imperial College

Slides

9.45-10.45

The OPUS Methodology (theory: into practice)

Miles Logie, Minnerva/ CharlesLindveld, Imperial College – including demonstration

Slides

   
10.45-11.15 Coffee/tea
   

11.15-12.00

Explaining Statistical Models through Metadata

Andrew Westlake, SASC

Slides

12.00-12.30

Comparing methods for data combination

Dean Judson, US Bureau of the Census

Slides

12.30-12.45

Discussion of OPUS methodology

   
12.45-14.00

Lunch - In the break, before and after lunch, the OPUS tools will be on show

 

Further programme details available

(including slides, presentations and background information as appropriate)

Afternoon session - Practical Applications

You may also be interested in attending the session on Baysian Methods