The research conducted at the Decision Science Hub is designed to examine how individuals make decisions and to translate this into policy and innovation that delivers significant community benefits.
We believe that this can only be achieved with strong partnerships. We host a monthly Roundtable Meeting in which we and our partners from different schools and faculties, partner organisations and government come together to discuss our current research.
The Decision Science Hub Roundtable Meeting takes place on the last Thursday of every month from 10:45 am to 12:30 pm. We provide coffee before the meeting and a social lunch afterwards. Our meetings are open to anyone with an interest in decision science. For more information, please email: Dan Myles (email@example.com).
We further believe that the Hub’s most important objective is to foster excellence in educating the next generation of researchers. This is why the Decision Science Hub Roundtable Meeting is strongly student-focussed and provides a platform for PhD students, Honours and Masters students and early career researchers to discuss their latest ideas and novel research approaches as well as significant problems in any discipline concerned with decision-making.
In addition, our mission is to help our members build and develop the research skills required to study decision-making. We organise regular Methods Workshops, focussed on research tools in our discipline, including (but not limited to) neuroscientific methods, such as electroencephalography (EEG), functional magnetic resonance imaging (fMRI), transcranial magnetic stimulation (TMS); as well as computational modelling, eye-tracking, statistics, and other methods. These workshops are open and free of charge for our partners and are focused on theoretical knowledge as well as hands-on skills. We believe that understanding and mastering research methods is the key to conducting world-class research.
If you are interested in receiving regular updates about our activities and events, please email Dan Myles (firstname.lastname@example.org).