17-19 February 2021, Virtual
The Spatial and Temporal Statistics Symposium (STSS) will have a focus on spatial, temporal, and/or spatio-temporal applications of statistics. This field of statistics involves analysis of spatial, temporal, and/or spatio-temporal data, which arise in applications in various disciplines, such as environmental sciences, engineering, ecology, epidemiology, and economics. The symposium is open for Honours, Masters, PhD students, academic researchers, and industry professionals, and will have a focus on research students. The schedule will consist of participant-delivered talks organised by themes (e.g., methodology and case studies), along with keynotes, industry talks, mini tutorials, and an open discussion session. The STSS will allow students from many different backgrounds to come together and discuss the similarities, differences, ideas, and innovations surrounding how spatio-temporal statistics can be used in their research.
The symposium mainly focuses on the development and collaboration between PhD students in spatial and temporal statistics. Specifically, the goal of the symposium is to:
- Discuss recent developments in methodology and applications in spatial and temporal statistics
- Encourage conversation and collaboration between PhD students in the field of spatial and temporal statistics
- Support career development for PhD students
The tentative schedule is as follows (subject to change, all times are Australian Eastern Daylight Time, i.e., Sydney time):
|10:30 – 11:30||11:30 – 12:30||14:00 – 15:00||15:00 – 16:00|
|Wed 17 Feb||Keynote Session||Student Session||Invited Session||Student Session|
|Thu 18 Feb||Invited Session||Tutorial||Invited Session||Student Session|
|Fri 19 Feb||Tutorial||Student Session||Open Discussion||Keynote Session|
We would like to invite students doing research in spatial and temporal statistics to give 20-minute contributed talks. Some of the relevant topics are listed below:
- Methods for spatial and temporal data: e.g., geostatistics, point patterns, time series, machine learning, etc.
- Applications using spatial and temporal statistics: e.g., applications in environmental sciences, ecology, economics, etc.
Submit your abstract here.
Abstract submission for contributed talks closes on 29 January 2021.
MATRIX-AMSI PhD Student Research Collaboration
PhD students attending the symposium can apply for funding through the MATRIX-AMSI PhD Student Research Collaboration scheme for post-symposium research collaboration. More details here.
Distinguished Professor Noel Cressie, University of Wollongong
Professor Sally Cripps,
University of Sydney
Doctor Susanna Cramb,
Queensland University of Technology
Doctor Dorit Hammerling,
Colorado School of Mines
Doctor Francis Hui,
Australian National University
Professor Joe Guinness,
Doctor Petra Kunhert,
Doctor Andrew Feitz,
Doctor Andrew Zammit Mangion,
University of Wollongong
Doctor Michael Bertolacci,
University of Wollongong
Please send an email to firstname.lastname@example.org if you have any questions.
Laura Cartwright, University of Wollongong, and Quan Vu, University of Wollongong.