9.30am
Morning Tea
ROOM 1
ROOM 2
10.00am
SESSION 07
Exploring Ethical uses of Generative AI in Research Practice
Presenters: A/Prof Suzanna Fay and Prof Paul Henman
Description: Generative AI opens up many new ways in which to undertake research, support research activities and produce research outputs. These developments raise considerations and concerns about what constitutes ethical and responsible research practice with Generative AI. This workshop will lead participants though shared reflections on ethical dilemmas and discomforts regarding generative AI, a discussion of the range of generative AI in research practice, and the exploration and prioritization of principles for ethical use of Generative AI in research practice.
Proposed learning outcomes for participants:
• Identification of the wide range of uses of Generative AI in research practice;
• An ability to determine which practices are legitimate and which pose ethical concerns;
• The ability to identify and apply ethical principles to different research practices.
SESSION 08
Publications: Tips, Tricks, and Troubles
Presenters: Fan Yang, Anjalee De Silva, Ramon Lobato, and Robbie Fordyce
Description: Wondering how to turn your thesis into a book? Trying to fine-tune your ‘elevator pitch’ for non-academic audiences?
Read More12.00pm
Lunch (Mentoring)
12.30pm
Automated Flight: Flight Simulators as Teaching and Research Opportunities (2hrs)
Venue: CiEL Lab, University of Melbourne
Presenters: Fabio Mattioli and CiEL Lab
Description: In this session, participants will be given a tour of our flight simulator. We will show how we use the immersive environment to conduct research and develop innovative pedagogies, in combination with other AI systems.
Proposed learning outcomes for participants: Participants will be able to conduct simulated flight sessions. They will also participate in a co-design session, where we will leverage these experiences for designing AI systems.
1.00pm
SESSION 09
Follow the digital footprints: Interviewing with digital trace data
Presenters: Giselle Newton, Lauren Hayden, Nic Carah, Dan Tran
Description: Add a new dimension to interviews by integrating digital trace data. This session will explore existing and potential participatory digital methods that invite participants to share digital traces, such as social media posts and digital advertising. We will share key considerations to using digital participatory methods through three case studies and provide an interactive example. Open discussion time is included at the end of the session to workshop attendees’ ideas and questions on how to operationalise digital participatory methods.
Proposed learning outcomes for participants:
- To explore a range of qualitative research methods that invite participants to interpret their own digital trace data
- To share learnings from pilot projects conducted with the ADM+S Mobile Observatory of Advertising Toolkit (MOAT)
- To reflect on how the research process shapes people’s understanding of their own digital trace data and ethical questions that arise in using digital trace data
SESSION 10
How to Study Socio-Technical Networks: Actor Network Theory
Presenters: Prof Janet Roitman
Description: This (workshop/presentation) will introduce students to Actor-Network Theory (ANT); it will review the merits of ANT for the study of socio-technical systems; we will walk through illustrations of applications of ANT, and we will do an exercise based on student research projects.
2.30pm
Afternoon Tea
3.00pm
SESSION 11
Using genAI image making in critical media investigations: A taster from the Ad Observatory
Presenters: Christine Parker, Daniel McKewen, Nic Carah, Luke Munn
Description: In this session visual artist and educator, Daniel McKewen will demonstrate work with the ADM+S Ad Observatory team using genAI models finetuned on particular collections of images from the Ad Observatory data (eg gambling, alcohol, greenwashing ad images) for critical media studies investigations of the aesthetics and ideological conventions of different types of advertising.
Read More
Proposed learning outcomes for participants: Participants will learn through demonstration and hands on experimentation what it looks like to do A/B comparisons with/without LoRA models (a popular lightweight training approach for Gen AI models) trained on custom data sets (in this case from the Ad Observatory, and use prompt exploration to connect with critical media studies investigations
SESSION 12
Brat Ethics: navigating ethics with contentious research topics
Presenters: Caitlin Learmonth, Emily van der Nagel, Lucinda Nelson, Rhea D’Silva
Description: Considering research ethics in a different light, this panel aims to have a generative discussion about navigating research ethics when you engage in ‘contentious’ research. Drawing on experiences from researchers in sexual health, digital sexual cultures, misogyny online, algorithmic bias and diverse communities, the panel questions what makes this research contentious in the first place? What creative methodologies can we use to navigate these fields of research? How do digital environments shape our navigation of ethical research? As well as insights from the panel based on their research experience, interactive audience Q&A will be held to consider and reflect what it means to do ethical research across the centre’s range of disciplines.
Proposed learning outcomes for participants:
• Understanding how to navigate research ethics
• Engaging with creative research methodologies
• Gain a cross-disciplinary perspective of ethics and research processes
5.30pm
Trivia with Dan Angus
The Oxford Scholar (Level 1)
