International Day Of Women in Statistics and Data Science: Full Schedule

Registration opens August 15th at www.idwsds.org.

You will be able to validate your attendance (Check-In to sessions) using your personal schedule.

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21:00 UTC

S411 - Fireside Chat with CWS Country Representatives: Navigating the Impact of AI in Teaching, Research, and Professional Practice

Tuesday October 6, 2026 21:00 - 22:00 UTC

Zoom Room #4

Artificial Intelligence (AI) is transforming higher education and professional practice at an unprecedented pace, reshaping teaching, research, and ethics while shifting the professional landscape for women and underrepresented groups in data science.
This invited fireside chat brings together CWS country representatives to share insights from diverse global contexts, highlighting how regional infrastructure gaps and regulatory frameworks shape AI adoption. Structured as an interactive, ask-me-anything-style conversation, the session will engage the audience to foster open dialogue.
Through dynamic exchanges, panellists will explore critical tensions in teaching and learning - such as adapting course design and student assessments to an AI-enabled landscape while combatting the threat of professional "deskilling". The discussion will also examine the dual-edged sword of AI in research, balancing efficiency gains in coding and data processing against concerns regarding algorithmic bias, automated plagiarism, and transparency. Moving beyond academia, the session will address how AI influences broader professional practice, focusing on the need for inclusive ethical frameworks and policies that promote equity.
Ultimately, this cross-regional dialogue aims to identify practical strategies for responsible AI use, fostering global awareness of the opportunities and systemic challenges faced by educators, researchers, and professionals in statistics and data science.

Speakers

Sofía Villar

MRC Biostatistics Unit, University of Cambridge, UK

Sofia S. Villar is a Research Professor and Group Leader within the Efficient Study Design theme at the MRC Biostatistics Unit, University of Cambridge, where she also serves as Academic Lead for Equality, Diversity and Inclusion.

Her research bridges optimization, machine lear... Read More →

Lígia Henriques-Rodrigues

Department of Mathematical Sciences and CEAUL, Faculty of Sciences, University of Lisbon

Lígia Henriques Rodrigues is an Associate Professor at the Faculty of Sciences of the University of Lisbon. She is a researcher at the Centre of Statistics and Its Applications of the University of Lisbon.

Her research focuses mainly on Extreme Value Statistics, semi-parametric estimation, bias reduction, risk modelling, Bayesian analysis, spatio-temporal models and survival analysis. Her work combines methodological developments in Statistics with applications to real data, particularly... Read More →

Gabriela Cybis

Department of Statistics, Federal University of Rio Grande do Sul, Brazil

Gabriela Bettella Cybis is an Associate Professor in the Department of Statistics at the Federal University of Rio Grande do Sul (UFRGS), Brazil, where she is also a faculty member of the Graduate Program in Statistics.

She holds a B.Sc. in Biology and an M.Sc. in Mathematics f... Read More →

Atinuke Adebanji

Purdue University

Atinuke Adebanji is an Associate Professor of Practice- Statistics at Purdue University, Indianapolis.

Her research and engagement activities focuses on applied multivariate methods, statistical modelling of public health outcomes, multidisciplinary statistical collaboration, and promoting statistical literacy. She has published articles on new distributions applied to health data... Read More →

Chairs/Hosts

Wendy Lou

Organizers

Vanda Lourenço

Tuesday October 6, 2026 21:00 - 22:00 UTC
Zoom Room #4

Invited Panel, Other

Session ID 411

International Day Of Women in Statistics and Data Science