May Panel: Data journeys and digital ethics – complexities, challenges and bottlenecks
Tuesday 16 May, 12pm to 2pm
This is a hybrid event:
- In person at the Manhari Room at Melbourne Connect – for those attending in person, join us from 12pm for light lunch and informal networking. The panel will begin at 12.30pm.
- Online via Zoom. The Zoom link will be provided after registration.
Please choose the correct ticket type when registering!
Panel overview
Data analysis may seem straightforward, but there are different variables and processes in collecting and interpreting data. Where does this leave ethics and the systems and tools we use in data analysis?
People often think of ‘data’ as a straightforward set of facts about the world that you feed into software then receive ‘analysis’ or a ‘decision’ that is ‘data-driven’. But there’s a lot that goes on before data is collected, within and between software systems, and once datasets have been output for future use.
The process involves lots of values and assumptions about what data is collected, what the data means, and how it should and shouldn’t be used.
This panel includes experts from different fields who use data-driven processes. They will share their unique data journeys, and where they think the most ethically important points are in the process.
Questions that may be explored include:
- What is missing from the data you collect? What challenges do those ‘gaps’ pose for your research outcomes?
- How do the software and tools you use interpret your data? For example, are there any presumptions, biases or presumed knowledge in these systems themselves?
- Is there a clear theoretical framework underlying how your data is used? Are there parts of it you find troubling or question? How do you deal with that challenge?
- How do you manage data outputs? Do these form part of future datasets you use in your research? What does this process look like?
Chair
- Dr Sarita Rosenstock, Computing and Information Systems
Panelists
- Associate Professor Sally Trelon, Victorian College of the Arts
- Associate Professor Daniel Capurro, Computing and Information Systems
- Dr Aleks Michalewicz, MDAP
Hosted by the Melbourne Data Analytics Platform (MDAP) and Centre for Artificial Intelligence and Digital Ethics (CAIDE).
Order of events
- From 12pm – Arrival, light lunch and networking
- 12.30pm – Panel discussion starts
- 1.30pm – Audience questions and discussion
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Panelist bios
Dr Sarita Rosenstock, Lecturer in Fairness in Machine Learning in the School of Computing and Information Systems
Sarita has a PhD in Logic and Philosophy of Science and a Masters in Mathematical Behavioural Sciences from the University of California, Irvine. Sarita’s current research considers how our values, goals, and prejudices are reflected, amplified, and distorted by data-driven automation. Her work spans a range of disciplines including theoretical computer science, mathematical physics, and evolutionary game theory.
Associate Professor Sally Trelon, Associate Professor, Ethnomusicology & Intercultural Victorian College of the Arts, and Co-Director of the Research Unit for Indigenous Arts and Cultures
Sally is the Convenor of the PhD and Masters by Research (Indigenous Arts and Cultures) programs at the Wilin Centre for Indigenous Arts and Cultural Development, Sally plays a strategic role in the Indigenous research and research training agenda of the Faculty and University.
Sally is an active researcher in music sustainability with a specialism in Indigenous performance practices of northwest Australia, and archives and access more broadly. They have lead multiple Australian Research Council Linkage and Discovery Projects and was the recipient of a Future Fellowship between 2016 – 2021. Sally is currently Associate Dean of Diversity and Inclusion in the Faculty and serves on Faculty Executive Committee and Extended Leadership Team.
Associate Professor Daniel Capurro, Associate Professor, School of Computing and Information Systems and Deputy-Director of the Centre for the Digital Transformation of Health
Daniel’s research focuses on clinical data analytics, clinical process mining, and the validation of digital health interventions. He is a Fellow of the Australian Institute of Digital Health and the American Medical Informatics Association; he is the deputy editor for NPJ Digital. Daniel is a Medical Doctor and General Internist and completed his PhD at the University of Washington.
Dr Aleks Michalewicz, Research Data Specialist, Melbourne Data Analytics Platform
Aleks is an interdisciplinary researcher whose work focuses on data governance, data sovereignty, sensitive data, digital and data ethics, and digital/computational humanities. She holds an MA in Classics and a PhD in Archaeology. She has excavated in Georgia and Jordan and continues to work on digital archaeology projects.
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