Ben Fulcher, Coder Bec, Andreas Limberopoulos: Psychological Research with Monash SurveyKit
Psychological research relies heavily on tests and surveys, which are traditionally conducted in person by an expert psychologist. However, this approach is costly and time consuming and is difficult to scale to large samples of subjects across time. Furthermore, the behavior of participants in a lab may not reflect their real-world behavior. The use of mobile apps to send notifications to participants to conduct surveys overcomes many of these difficulties, but requires researchers to apply for individual funding to develop and maintain a custom-designed app. We will describe the path from a hackathon (where a prototype was developed) to the development of the Monash SurveyKit, which allows researchers with no technical background to easily produce an app-based survey through a web interface.
Jonathan Liono (PhD student in Computer Science at RMIT University): Machine Learning and Its Feasibility for Mobile Applications
The proliferation of internet connected devices (e.g. mobile phone) is prominent in our daily activities. While the capabilities of these ubiquitous devices are growing every year, it does not stop us to be creative in developing mobile apps. One way to facilitate the technology innovation is through machine learning. The main topic of discussion aims to give background of machine learning and the possible applications that can be achieved. In particular, how it can be expanded for developing innovative mobile applications.
• Food and drink: Hays Recruitment
• Venue: York Butter Factory