Summer School 2009

The Australian Research Council Research Network in Spatially Integrated Social Science (ARCRNSISS) will be holding the Summer School for Research Higher Degree Students in Spatially Integrated Social Science Theory and Methods February 8th to 18th 2009, at the University of Queensland in Brisbane Queensland.  The Summer School will bring together approximately 30 domestic and international RHD Students each year to provide advanced level training in SISS theory and methods and their applications in research.  Instruction will be by some of the leading researchers in SISS from across a number of disciplines in the social and behavioural sciences in Australia, with postdoctoral research fellows acting as tutors to work intensively with the RHD students.

The Summer School will particularly benefit young scholars in geography, regional science, economics, sociology, planning, psychology, and population and public health. It is aimed at new and continuing RHD students whose work engages quantitative or qualitative research paradigms as central to their research and which makes use of place-based analysis and geographic or spatial information systems and process for analysis or presentation of information.

While doctoral students being supervised by participants in ARCRNSISS will be given the highest priority, any doctoral student at any university can apply to enroll with support of his or her supervisor.

The Summer School will run over 10 days and will be taught in intensive mode through lectures, seminar discussions and practical exercises, including accessing on-line data bases in SISS.

Applications and Registrations
You must apply on-line at
www.siss.edu.au

For further information contact:

Tracey Johnstone
Network Manager
University of Queensland
Telephone: (07) 3365 6307
E-mail: t.johnstone@uq.edu.au

Instructors

  • Professor Bob Stimson, University of Queensland
  • Professor Graeme Hugo, University of Adelaide
  • Professor Lorraine Mazerolle, Griffith University
  • Professor Mark Western, University of Queensland
  • Professor Bill Mitchell, University of Newcastle
  • Professor Tony Sorensen, University of New England
  • Professor Kevin O’Connor, University of Melbourne
  • Professor Pip Pattison, University of Melbourne
  • Professor Phil O’Neill, University of Western Sydney
  • Professor Brian Head, University of Queensland
  • Associate Professor Martin Watts, University of Newcastle
  • Dr David Pullar, University of Queensland
  • Dr Michele Haynes, University of Queensland
  • Dr Jonathan Corcoran, University of Queensland
  • Dr Rebecca Wickes, University of Queensland
  • Dr Dominic Brown, University of Queensland
  • Dr Robert Tanton, University of Canberra - NATSEM
  • Dr Rod McCrea, University of Queensland

Aims
Research tools & techniques covered in the summer school:

  • Conducting Socio-spatial & behavioral research
  • How to frame a research question
  • The macro content for socio-spatial research investigations
  • ABS official data collections and their use in research
  • Qualitative approaches to research
  • Quantitative approaches to research

 1. data collection & analysis
 2. quality, validity & reliability in primary data collection
 3. survey research methods & design
 4. secondary data sources
 5. how to analyze primary & secondary data
 6. longitudinal analysis

  • Analytic tools & techniques

 1. spatial econometrics
 2. spatial indices & benchmarking
 3. network analysis
 4. analyzing flows & interaction
 5. micro simulation
 6. circular statistics

  • GIS, spatial modelling & visualisation – demonstrations & lab sessions
  • Integrating survey based primary data with spatial objective data
  • Accessing on-line spatial decision support systemsForecasting
  • Behavioural investigations in a space/place context
  • Spatial analysis of health & well-being
  • Modelling collective efficacyHow to build a research career
  • Research writing & publications
  • Laboratory session

Students will give:

  • Student thesis research reports 

Outcomes
By the completion of the summer school, students will be expected to have gained:

  • a better understanding of research design 
  • a sound grasp of analytical techniques and statistical and spatial analytic approaches to research in social and behavioral sciences
  • a critical awareness of the strengths and limitations of these techniques and approaches 
  • a practical knowledge in the use and application of these techniques

To enhance their capacity & capability to undertake socio-spatial analytical research.

Venue
The University of Queensland 
Sir James Foots Building, Room 341
Staff House Road
St Lucia Campus
Brisbane Queensland

Catering
Morning Tea/ Lunch / Afternoon Tea will be provided at:
Grinders Alfresco Café
Sir James Foots Building – Outdoor Courtyard

Accommodation:
Accommodation will be provided at the Toowong Villas.  This will be shared accommodation of 2 or 3 persons in a 2 or 3 bedroom fully self contained villas. These comfortable and well equipped villas are fully self contained, including a complete kitchen with full cooking facilities, plus washing machine and dryer.  For recreation they have beautifully appointed garden settings, two swimming pools and BBQ facilities.
www.toowongvillas.com.au

Toowong Village shopping centre is a very short walk and the CBD is 5 minutes from Toowong Villas by bus.

Transport
Shuttle service will be provided from Toowong Villas each morning and return to Toowong Villas each afternoon for the duration of the Summer School.  Shuttle service will be provided for transport between Toowong villas and the Welcome BBQ venue and return on Sunday afternoon.
Shuttle service will be provided for transport between the Toowong Villas and the Hundred Acre Restaurant/Bar and return for the Summer School Dinner.  There is a bus, ferry and train stop located within a 4 minute walk from Toowong Villas.

Selection and Fees
The call for applications to attend the Summer School will occur in September/October each year. Applications are to be lodged electronically using the form available on the ARCRNSISS web-site www.siss.edu.au under Summer School registration.

A maximum of 30 students will attend the course, and preference will be given to doctoral students being supervised by a Participant in ARCRNSISS. The selection of students to attend the Summer School will begin usually in October of the previous year, with successful applicants notified by late November.

Domestic Students being supervised by a Network Participant will have their costs of travel and attendance at the Summer School subsidised by ARCRNSISS up to $1,000 for travel and accommodation. The Network will cover the costs of lunches, morning and afternoon teas, the welcome BBQ and Summer School dinner for those students. Students traveling from outside Brisbane may need to arrange supplementary funding from the University in which they are enrolled to cover travel and accommodation costs in excess of that amount.

International students affiliated with ARCRNSISS will be advised of fees by their local institution.

Providing places are available, the course fee is $2,200 for non-Network associated doctoral students, which will cover all costs except airfares and accommodation.

Certification
A Certificate of Completion will be issued to all students who attend the Summer School and complete the tutorial seminars and exercises.

Tutors
Up to three Tutors who are postdoctoral research fellows from the Network will assist with instruction and the conduct of the laboratory and workshop sessions. They are Early Career Researchers who are Participants in ARCRNSISS.

Further Information – the following will be available prior to the starting date

Course Resource CD will be available & forwarded to successful applicants prior to the start of the Summer School

  • Final Program
  • Course Coordinators - Updated
  • Course Outlines
  • Instructor & Student Profiles

Registered 2009 Summer School Students - resources here (login required).

Register Now!

Start Date: Sunday 8th of February 2009

End Date: Wednesday 18th of February 2009

Last Updated: Friday 6th of February 2009

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