IASE 2023 Satellite Conference
Fostering Learning of Statistics and Data Science
Hybrid Conference
Toronto, Canada     11 – 13 July 2023

Conference Theme: “Fostering Learning of Statistics and Data Science”

Statistics and Data Science have synergistic goals for analyzing data, and they employ varying approaches to achieve them. These approaches now encompass traditional emphasis on deliberate data collection and formal methods of inference, as well as increased attention on processing large amounts of data, often unstructured, to extract and extrapolate patterns. All of these approaches have become indispensable, and together make up the core knowledge and skills needed for working with data. The conference’s theme is “Fostering Learning of Statistics and Data Science”, and it aims to explore how we can support and sustain student learning given the complexity and evolution of the data landscape.

Topic 1: Fostering Learning in the Current Data Landscape

The nature and complexity of today’s data create important questions about what we teach, when we teach it, and, more importantly, how we teach it, in order to develop in our students the skills and values they need to effectively engage with data. This topic will explore datacentric, problem-based approaches to enhance learning in this context.

Topic 2: Cultivating Probabilistic Thinking for Data Analysis

Probability Theory is the principal framework for reasoning about uncertainty, variability, and risk, forming the bedrock of Statistics. Despite the successes of algorithmic methods, sound probabilistic thinking is essential to data analysis and problem solving. This topic will examine strategies to develop in our students the core probabilistic concepts and competencies necessary for analyzing data.

Topic 3: Enhancing Statistics and Data Science in Schools

Statistical and Data literacy are recognized as crucial, universal skills for our increasingly information-rich world, and there are global efforts underway to bring Statistics and Data Science to schools. This topic will highlight important initiatives, exchange insights, and identify opportunities for future progress.

Topic 4: Promoting Inclusion in Statistics and Data Science Education

Most governments and international organizations view education as a public good, but in reality, there are still many financial, cultural, and social barriers to education. This topic will investigate the current state of access to Statistics and Data Science Education and bring forward strategies to promote inclusion.