Seminar Series: Topics in Modern Data Science
Topics in Modern Data Science is a new seminar series sponsored by the Government Systems Domain of the QUT Centre for Data Science. Rather than summaries of the technical presentations, the seminars will focus on a critical review and discussion of current methodologies and fields of data science. We will address questions of both practical applications and policy and ethical implications of implementing modern data science tools in the public service.
Speaker: Dr. Bernadette Hyland-Wood
Title: The Promise and Pitfalls for Data Sharing: A Case study of Australia during COVID-19
Abstract: Communities of experts and disparate data sources from around the world were mobilised in response to the imminent risk of the SARS-CoV-2 virus (COVID-19). In a recent study, Howard & Hyland-Wood (2023, forthcoming) characterised time-sensitive data collection and rapidly evolving policy responses using an ecosystem metaphor. The authors conceptualised this as a ‘third movement’ in the progressive opening-up of public policy during crises, representing a radically decentred form of data-informed policy making. Join us for an informative and interactive discussion on traditional and novel approaches to data collection and sharing in Australia during COVID-19. Dr Bernadette Hyland-Wood will present findings from a 2022 Australian qualitative study on data availability used for complex systems modelling during COVID-19.
About the Speaker:
Dr Bernadette Hyland-Wood is a Chief Investigator at the QUT Centre for Data Science and the QUT Digital Media Research Centre, which are at the forefront of research on data policy and governance. She has provided expert technical guidance on the U.S. Digital Accountability and Transparency Act (2014) (DATA Act) and input to Australia’s Data Availability and Transparency Act (2022). Dr Hyland-Wood’s research examines rapid advances in generative AI, responsible data science and Indigenous Data Sovereignty. She has authored highly cited research on crisis communications and COVID-19 and has been featured in media outlets, including ABC and Radio New Zealand. Previously, she co-designed foundational data standards and best practices to make data findable, accessible, interoperable, and reusable (FAIR data). Bernadette was a tech startup founder (Brisbane, Australia and Washington, DC) and, together with her team, developed the first commercially supported graph database using an international data exchange standard for Linked Data. A Fortune 100 company acquired her company Tucana Technologies, and she later served as CEO of a semantic technology spin-out from MIT.
Details:
| Location: | Y-801, QUT Gardens Point or Online/Teams |
| Start Date: | 31/05/2023 [add to calendar] |