IASE 2024 Roundtable Conference
Connecting data and people for inclusive statistics and data science education
2 - 5 July 2024, Tāmaki Makaurau | Auckland, Aotearoa New Zealand
Program
The four-day Roundtable will take place from 2 July to 5 July 2024 and focus on a unique theme: “Connecting data and people for inclusive statistics and data science education”.
Papers are submitted and shared before the conference and roundtables will be formed for discussions of these papers during the conference. In addition to these roundtables (paper discussion sessions), there will be a keynote, workshop sessions, and a discussant session at the end of the conference.
Keynote speaker
We are thrilled to announce that the keynote speaker for the IASE 2024 Roundtable is Andrew Sporle.
Andrew will open the conference with a talk that explores the important question, Can we build equitable statistical literacy in a world of automated analytics? and plans to discuss the following in his talk:
Why learn statistics if AI can just give you an answer? As analytics become increasingly automated and concentrated, the value of data becomes more distant from the data donors or the people it is about. How can we build equitable statistical literacy in a world of automated analytics? We can learn something from the successful capacity building initiatives in other disciplines. But this is not enough.
Our equity challenges are much larger and much more urgent. The combination of the workforce equity gap, rapid demographic change and even more rapid technological change requires a broader focus to building statistical literacy. Building a statistical workforce within indigenous, minority and disempowered populations remains important for addressing inequity, but our statistical literacy initiatives need to mirror the reach of advanced analytics.
This includes developing statistical literacy within decision makers in disempowered populations, while flipping the focus to develop equity literacy within the statistical and analytic workforce. Examples of responses to many of these issues already exist, the challenge is moving them from novel exemplars to routine practice.
More about Andrew
Andrew Sporle is an international award-winning data and research innovator with over 30 years’ experience in research practice, policy and ethics. His current work is focused on data strategy, social/health inequity, statistical literacy or making statistical information resources more useful to decision-makers beyond government. He is a previous co-recipient of the Prime Minister’s Science Prize and the IASE Cooperative Project Award in Statistical Literacy
Andrew is the National Contact Point (Māori) for the EU’s Horizon Europe Research Fund, an Honorary Associate-Professor of Statistics at the University of Auckland and a deputy director of Healthier Lives National Science Challenge. He is a board member for several Māori or indigenous research committees, advisor on government data and research initiatives in Aotearoa and Australia, co-lead on for iNZight statistical software and on the executive of the Virtual Health Information Network, Te Mana Raraunga and the International Sociological Association Research Committee on Racism, Nationalism, Indigeneity and Ethnicity.
He serves on the Scientific Panel on Global Standards for AI Audits, International Panel on the Information Environment (IPIE) and as a New Zealand government appointee to the Global Partnership for Artificial Intelligence Expert Working Group. He is also a member of StatsNZ’s Data Ethics Advisory Group and Te Whatu Ora’s National AI & Algorithm Expert Advisory Group. Andrew was the inaugural Māori Health Research Manager at the Health Research Council and initiated both the Māori research responsiveness and workforce development initiatives that are still running 3 decades later.
Note that the Keynote session is sponsored by the The New Zealand Statistical Association.
Program outline
The current program outline is shown below. Note, session times may change as papers/presenters are confirmed.