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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 and workshops have been accepted for the 2025 programme (as at January 2025):

Applications in business, industry & finance
  • RSS18404 scheme - why we need you and business to get on board?
  • Statistical Engineering
  • Practical issues in credit scoring
  • Forecasting mortality in the wake of the Covid-19 pandemic
  • Mind the Gap - A Statistician's Encounter with Gender and Ethnicity Pay Gap Reporting
  • Nuclear Insights: The Power of Data Science
  • Applications of probabilistic forecasting in the energy sector
  • Data and the Offshore Wind Industry
Communicating & teaching statistics
  • Statistical storytelling: getting it right for different audiences
  • From curiosity to career: how we found our way into statistics, and how we can help others?
  • Book publication as a Scholarly Activity for Statisticians with Teaching-Focused Roles
  • Datify a Nation! Integrating Data Literacy across the Scottish School Curriculum
  • Addressing Statistical Illiteracy and Capacity Gaps for Sustainable Development in Africa
  • Where Every Student Counts: Reflections on the Q-Step programme's impact on quantitative methods training in the social sciences
  • Hidden Figures in Statistics
Data science & AI
  • Statistics & Machine Learning in healthcare
  • AI Taskforce - AI evaluation: A short but comprehensive tutorial in preventing black boxes blowing up
  • Large Network Models
  • Integrating innovative Machine Learning Solutions to strengthen the quality and reliability of survey data in complex crisis contexts
  • Empowering Biomedical Discovery with AI Agents and Data Science
  • MLOps: Automating the Machine Learning Stack
  • Uncertainty Quantification for Physics Informed Machine Learning
  • AI Task Force - one year on 
Environmental & spatial statistics
  • Addressing the challenges for effective integration of AI and novel technologies in statistical ecology
  • Effectively communicating outputs from spatio-temporal models
  • Communicating spatial uncertainty to practitioners, policy-makers and the public
  • Recent advancements in geospatial approaches for mapping populations and their characteristics to support the Sustainable Developments Goals
  • Data fusion for environmental and ecological data
  • Ecological impacts of offshore renewables: uncertainty and transferability
  • Cross validation approaches for the evaluation of spatial models
  • Practical methodologies for multivariate extremes
  • Analysis of Citizen Science Data
  • Here today, GAM tomorrow: incorporating temporal structure in generalized additive model
  • Socially responsible AI & Sustainability
  • Helping statisticians to thrive within the environmental, agricultural and biological sectors
Medical statistics
  • Statistical challenges in neuroimaging
  • Tailored insights: the role of individualised study designs in health research
  • Setting international standards in analysing patient-reported outcomes and quality of life endpoints in cancer clinical trials: Recommendations from SISAQOL-IMI
  • From study to target populations: addressing external validity through the Lens of Transportability and Generalisability
  • Adaptive Bayesian methods in diagnostic and clinical trials
  • Understanding sample size requirements for prediction modelling: an interactive challenge
  • Statistics in action: helping policymakers tackle the NHS waiting list
  • Networking and clustering analysis for biological data
  • Modern advances in causal inference amid complex challenges from real-world data and research questions
Methods & theory
  • Advancements in Divide-and-Conquer approaches for Bayesian nonparametric models
  • Surrogate modelling
  • Uncertainty Quantification and Digital Twins
  • Advances in Bayesian Nonparametrics
  • Statistics of Stochastic Processes
  • Gradient flows and their relevance to statisticians
  • Recent advances in variable selection
  • Changepoint detection on dynamic networks
  • Volterra processes, stochastic differential equations and statistical inference
  • Advancing Statistical Frontiers: Extreme Value Theory, Machine Learning, and Point Processes
Official statistics & public policy
  • RAP in Public Health: Where we've come and where we're going
  • Accessibility in official statistics - practical ways you can improve your outputs
  • UK-wide population and migration statistics development
  • Improving population statistics: Decisions and Challenges
  • From numbers to action: leveraging statistics for effective governance
  • Going above and beyond: innovations in official and non-official statistics
  • Using administrative data for the public good: how researchers can provide decision makes with evidence-based insights that can lead to more effective and targeted policies
  • Bridging the evidence gap: how to use the wealth of public service data to transform policymaking
Other applications of statistics
  • Statistical Modelling in Sport
  • How data-driven approaches have transformed sports/football
  • Statistics in Sport Section Prediction Competition Winners 2025
  • The role of experts: making the most of statistical evidence
  • Advances in Statistical Methods for Diverse Applications
  • Animal health and welfare
  • Statistical evidence in investigation of murder in healthcare settings
Prize winners
  • RSS Prize Winners: Best presentations from RSC 2024
  • RSS Prize Winners: Best presentations from YSM 2024
  • Statistical Storytelling: Significance prize winners
Professional development
  • Optimising manufacturing excellence: leveraging process mapping, simulation, and Minitab Six Sigma Tools
  • Cracking the Code: How to hire the perfect data scientist for your company and how to spot them
  • Confessions of a Data Science Practitioner
  • Dynamic presentations with Quarto
  • Model-based geostatistics for public health using R
  • Using Julia: fast, reproducible, composable
  • The Medical Statistician Degree Apprenticeship Programme
  • Why we should all be Data Quality Detectives
  • Neurodiversity in statistics and data science
  • Careers in statistics education
  • Learn to build an R package in 80 minutes
  • Big Data, Little Tricks
  • Raising concerns and professional responsibility
  • An outstanding supervisor: Leading for motivation, innovation, and retention
  • Plotting your path: Women in statistics and data science share their stories
  • Statisticians for Society
  • Learn from my mistakes: career advice from highly successful statisticians
  • Engaging with data professionals in Lower & Middle Income Countries (and beyond). What does the RSS (and members) currently do and how do we move forward?
Social & wellbeing statistics
  • Let's do good things with data
  • Socially responsible AI & Inclusion
  • Data Frontiers: Innovation and Insights in Survey Methodology and New Forms of Data
  • Looking to the Future: A decade of modern slavery statistics
  • New directions in enabling access to data - contributing, managing and sharing data for secondary use
  • Statistical considerations in inequality and sustainability studies
  • From high school to university: Assessing inequalities and peer's influence in students' performance and choices
  • Pioneering simpler access to Scotland's public sector data for research to improve wellbeing
  • Beyond the models: the effects of the environment on mental health