Invited topic sessions

Invited topic sessions and workshops are put together by an individual (you do not need to be a RSS Fellow), group of individuals, an organisation or a RSS committee with a panel of speakers who they invite to speak on a related topic. The session topic should ideally fit within one of the topic streams for the conference. 

The proposed session is considered by the RSS conference board for inclusion on the programme. The conference is intended to cover the full range of sectors working with statistics and data science including academia, business, industry, government and public sector.

The following invited sessions have been accepted for the 2024 programme (as at April 2024):

Applications in business, industry & finance
  • Current challenges for Statistics and Data Science in Business & Industry
  • Decision Making in Financial Markets
  • FinTech, Economic Modelling, and Complexity
  • Mind The Gap – A Statistician’s Encounter with Gender and Ethnicity Pay Gap Reporting
  • Model Risk in Financial and Insurance Markets
  • Statistical approaches to quality improvement in the service industry
Communicating & teaching statistics
  • Crafting Compelling Narratives: Effectively Communicating Statistics in the Media and Beyond
  • Developing quantitative data driven research skills in social science students outside the classroom
  • Hidden Figures in Statistics
  • How and when should we teach machine learning?
  • Meeting the audience where they are - answering questions important to people
  • R without fear: teaching strategies to make R accessible to everyone
  • Schools, outreach and the digital world: how can we deliver statistical and data literacy for all? 
  • Statistical storytelling: Significance prize winners
  • Using R, Shiny and associated technology in statistical education
Data science
  • All Statisticians are Data Scientists?
  • Data Hazards - communicating worst-case scenarios of data science projects
  • Data innovative approaches to filling data gaps on forced displacement
  • Data science for social good: plumbing vs wizardry
  • How should the statistical profession adopt AI?
  • Real World Data Science: Live at RSS 2024
  • Statistical Applications of Generative AI
  • Uncertainty Quantification for Digital Twins
 Environmental & spatial statistics
  • Environmental Modelling in Industry and Government
  • Geopolitical Analyses of Disaster Impacts: Bias, Modelling and Decision Making
  • New advances in point processes for environmental problems
  • Spatial Data Science Using R
  • Statistical literacy and climate change – the work of the RSS Climate Change Task Force
  • Statistics of natural processes and vulnerability to environmental hazards
Medical statistics
  • Advancements in Digital Health Technology:  Statistical Opportunities, Challenges and Solutions 
  • Causal inference in health technology assessments
  • Enhancing statistical rigour in health data research
  • Now and then the relation between the 'medical' statistician and the clinical researcher
  • Patient and public involvement (PPI) for medical statistics methodology research: why bother?  
  • Predictive Modelling in Healthcare
  • Spatial statistical methods for global public health
  • Statistics and data science applications in health analytics consultancy
Methods & theory
  • Advancements in Statistical Learning: Subgroup Selection, Transfer and Deep Learning
  • Bayesian methods for spatio-temporal data that don't take ages
  • Inference for Functional Data
  • Kendall Lecture - David G. Kendall Award for Young Researchers
  • Network Stochastic Processes and Time Series
  • 'Papers from the RSS journals' on the topic of 'causal inference'
  • Something doesn't add up? Introduction to Compositional Data Analysis
  • Survival models with multiple linear predictors
Official statistics & public policy
  • Celebrating statistical excellence: Insights from award-winning teams in official and non-official statistics
  • Creating Ambitious Population Statistics 
  • Exploring the use of administrative data for population and migration estimates
  • Official statistics for the public as well as for public policy
  • Statistics Under Pressure: how to inform decision-making at pace
  • Why continuous improvement is important for population and migration statistics

Other applications of statistics

  • Applications of Compositional Data Analysis
  • Data driven perspectives on football
  • Paris Olympics 2024 Predictive Analysis Competition Winners
  • Present challenges in the field of cyber-security that statistics can play a role
Prize winners
  • RSS Prize Winners: Best presentations from RSC 2023
  • RSS Prize Winners: Best Presentations from YSM 2023
  • RSS Prize Winners: Best presentations from YSM 2024
Professional development
  • Getting your work published and maximizing its impact
  • How to do it all: Advice from female statisticians
  • Introduction to machine learning with {tidymodels} in R
  • Learn from my mistakes: career advice from highly successful statisticians 
  • NIHR RSS at the RSS
  • Reproducible data reports with Quarto
  • RSS Future Leaders - Inspiring Data Careers for All
  • Scale it with SQL
  • Secrets for securing research funding
  • Statisticians for Society: A Journey through our Evolution and Future Opportunities
  • Getting your work to work
  • Meta-analysis using Stata
Social & wellbeing statistics
  • Causal inference for societal impact
  • Charting sustainable, healthy, and fairer futures: how Nesta draws the line from data to action
  • Measuring mental health in surveys: international applications
  • Survey Data Collection Methods Collaboration (Survey Futures): Research Programme, Objectives and Early Findings
  • An exploration of election predictors with reference to specific elections