Invited topic sessions are put together by an individual, group of individuals or a committee with a set 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 following invited sessions have been accepted for the 2022 programme (as at December 2021):

Applications of statistics

• The role of statistics in supporting professional ballet dancers
• Are we talking the same language? Building collaborations between statisticians and scientists
• Working with statistics in cricket - A talk from Cricviz
• Wimbledon 2022 predictive analysis competition winners
• Statistics of strange species
• Use of data-driven technology by police

Business, industry & finance

• From ivory towers to industry floors: Novel applications of statistics in business
• Democratisation of statistics in GSK
• New developments in business statistics methodology
• A quality improvement approach to assessing knowledge exchange
• Exploring Explainable AI in the financial sector from a statistical perspective

Communicating & teaching statistics

• RSS Statistical Ambassadors’ showcase
• The effect of the pandemic on higher and professional education in statistics
• STEM showcase
• Share your stats with R & Python
• Stats + Stories and Significance at RSS Conference
• Special session for finalists of Statistical Excellence in Early Career Writing Award

Data science

• Data science for health equity (DSxHE)
• Data science in industry - an introduction to MLOps
• What should the future look like for the UK’s data research infrastructure? 
• The secret sauce of open source

 Environmental & spatial statistics

• The public value of geospatial data
• Official statistics’ contribution to understanding climate change
• Model selection and discrimination for environmental and spatial applications
• Spatial modelling and visualisation using R and INLA
• Marine impact surveys - from data collection to policy intervention
• COP26 and beyond: data for decision-making and for public understanding of climate change

Medical statistics

• LGBT+ medical research and data in the UK
• Recent developments in early phase trials in oncology: statistical methodology and practice
• Health data science for Covid-19 research
• The future of applied statisticians working in fields related to medicine, health and social care  
• Assessment of performance for time to event models: STRATOS guidance for survival, competing risk and dynamic risk prediction models
• What is your estimand?

Methods & theory

• Recent methodological advances for analysing complex high-dimensional data
• IMS Lectures
• Papers from the RSS Journals: 50 years of Cox regression: developments and perspectives

Official statistics & public policy

• Mental health statistics: pandemic, data and improving evidence
• How linked open statistical data broke COP26 delegates’ minds, and built a collaborative intra-departmental approach to data ownership
• A step change in the data sharing game: Introducing the Integrated Data Service  
• Misuse of official statistics: what does it mean to be ‘misleading'?
• Developing a health index for England
• The UK survey informing devolved policy: How the Coronavirus Infection Survey analysis met the need of four different policy responses to the Covid pandemic
• International perspectives on data governance in times of the pandemic

Prize winners

• Best presentations from RSC 2022
• Best presentations from YSM 2022

Professional development

• RSS professional pathways
• Data science certification by The Alliance for Data Science Professionals
• More than just mentoring - a guide to the new mentoring scheme
• Statistical careers in environment and engineering 
• Don’t panic! The Ambassadors guide to communicating statistics
• Getting your work published and maximising its impact
• From APTS to the wider statistical community
• Linked open statistical data is easy as 1-2-3: from structured data to linked data
• Research ethics for AI and data science - what do I need to know?
• Delivering and recognising excellence in statistical consultancy work
• Learn from my mistakes: career advice from highly successful statisticians
• Statisticians for Society - supporting the charity sector
• Repeat, reuse, reprothon: how can we make code last longer?
• Reproducible data reports with R Markdown
• R you ready for Python?

Social statistics

• Beyond surveys: understanding data quality in alternative data sources
• A whistle-stop tour of historical statisticians in the Highlands
• How statistics can help to promote climate change adaptation
• Evidence-based policy making: How data informed the government's Levelling Up agenda and plans to develop sub-regional statistics