Conferences / EARL (Enterprise Applications of the R Language)
EARL 2025
Oct 14–16, 2025 · DoubleTree by Hilton Brighton Metropole, Brighton, United Kingdom
- Conference
- EARL (Enterprise Applications of the R Language) Data science & ML
- Dates
- Oct 14, 2025 – Oct 16, 2025
- Venue
- DoubleTree by Hilton Brighton Metropole
- Place
- Brighton, United Kingdom
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- earl-conference.com
- Recorded
- 0 sponsors · 53 speaker appearances
- Notes
- Run by Datacove with Silicon Brighton. Workshops 14 Oct, talks 15-16 Oct, evening reception at the Brighton Pavilion. Speakers from the agenda page as of 10 Sep 2025 (page misspells 'Colin Gillepsie'). Keynote titles not published on the agenda page; Wes McKinney's title is from his own transcript page. Eric Drass is an artist (shardcore), no organisation given. A final agenda PDF (EARL2025-Agenda_Confirmed.pdf) was not archived. Ticket prices not found (ticketpass widget; FAQ says prices include VAT). Sponsors not found; sponsorship packages 'starting at just £395 + VAT'. Attendance not found.
Ticket prices
No ticket prices recorded
Sponsors 0
No sponsors recorded
Speakers and talks 53
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Eric Drass | — | Keynote | — | — |
| Rachel Keane | The Data Inspiration Group (Digdata) | Keynote | — | — |
| Wes McKinney | Posit | Keynote | Building Data Science Tools in an AI-Native World | Slides |
| Aida Gjoka | Jumping Rivers | Talk | R for Everyone: Bridging the Gap Between Data and Decision-Making | — |
| Aida Gjoka | Jumping Rivers | Workshop | Core Machine Learning Concepts in Python | — |
| AJ Small | Sky | Talk | Improving Analytics by Using Causal Inference Techniques | — |
| Alice Dewar-Mills | Fractional on Demand | Panelist | — | — |
| Alison Telford | City & Guilds | Talk | Levelling-Up: An R Shiny Solution Modelling Costing Decisions for Level Crossings | — |
| Amit Kohli | Access Social Care | Talk | From Fragmentation to Transparency: Using AI to Democratise Social Care Data | — |
| Andres Baravalle | On The Beach | Talk | From Prototype to Production: A Brief History of a Data Project That Was Supposed to Be Simple, Became Complex, and Still Only Occasionally Falls Over | — |
| Andy Cottle | Antisana | Panelist | — | — |
| Chris Newton | Dogs Trust | Talk | Understanding Dog Relinquishment: Insights From Multidimensional Analysis in R | — |
| Christopher Campbell | Autotrader | Talk | Classified Success: Using an LLM to Analyse Seller Calls | — |
| Colin Gillespie | Jumping Rivers | Talk | Validation of R Packages for Regulated Industries | — |
| Colin Magee | Dorda | Talk | R Is for (Horse) Racing | — |
| Cosima Calder | Branding Science | Talk | Building a RAG System for Your Business: A Guide to Delivering Genuine Impact | — |
| Craig West | Agentic Pythonista | Talk | AI Agents in the Data Pipeline | — |
| Elizabeth Brown | Branding Science | Talk | AI Transcription: Creating a Productionised Internal Tool | — |
| Gabe Musker | Branding Science | Talk | Building a RAG System for Your Business: A Guide to Delivering Genuine Impact | — |
| Imran Hossain | MuSigmas Consultants | Workshop | Simulation guided Bayesian Designs using R | — |
| Jack Westcott | MMR Research Worldwide Limited | Talk | Enhancing Sensory Product Testing With R, Python and Large Language Models (LLMs) | — |
| James Mullan | Snap Analytics | Talk | Automating the Mundane Leveraging Python for Data Mappings and Test Data Generation | — |
| Jan-Aage Frydenbo-Bruvoll | Skipa | Panelist | — | — |
| Jana Muschinski | Dogs Trust | Talk | Digging Into Free-Text Data in Dog Behavioural Welfare Datasets | — |
| Jason Verrall | The Pensions Regulator | Talk | Pythonic Pathways to Carbon Clarity: Estimating Indirect Emissions | — |
| Jay Emerson | Yale University | Talk | R Is for (Horse) Racing | — |
| Joseph Osborne | Zapmap | Talk | Targets and Tasks: Make Inspired Live Refresh | — |
| Kasidit Tipayawatn | MMR Research Worldwide Limited | Talk | Enhancing Sensory Product Testing With R, Python and Large Language Models (LLMs) | — |
| Kate Ashworth-Brash | Freelance | Panelist | — | — |
| Katy Morgan | Government Internal Audit Agency | Talk | Enhancing Efficiency and Creativity With Natural Language Processing and Generative AI in R Shiny Apps | — |
| Kylie Ainslie | Netherlands National Institute of Public Health and the Environment (RIVM) | Talk | Work Smarter, Not Harder: Elevate Your Projects With R Packages | — |
| Laura Mawer | Datacove | Talk | Shiny and Python for Education | — |
| Luke Bandy | The Pensions Regulator | Talk | Making Hybrid-Working Work for Workers by Visualising Real-Time Office Desk and Room Availability With Leaflet and Shiny | — |
| Marcus Palmer | Education Cubed | Talk | Shiny and Python for Education | — |
| Mark Sellors | Atorus Research | Talk | Creating Validated Data Pipelines With Nextflow | — |
| Masha Gaganova | MGM Creative Solutions Ltd | Talk | Human Side of Change | — |
| Megan Bourne | Levy | Talk | From R To Bar: Creating a Proof of Concept for Catering Sales Forecasts | — |
| Mel Weedon | Dogs Trust | Talk | Digging Into Free-Text Data in Dog Behavioural Welfare Datasets | — |
| Mike Smith | Pfizer | Talk | R Validation – From Theory to Practice | — |
| Myles Mitchell | Jumping Rivers | Workshop | Dynamic presentations with Quarto | — |
| Nic Crane | NC Data Labs | Workshop | Deploying AI in R with {ellmer} and {shiny}: From Experimentation to Production | — |
| Nic Crane | NC Data Labs | Talk | Scaling Up Enterprise Data Science in R With Arrow and Parquet | — |
| Nick Howlett | NHS England | Talk | Delay-Related Harm: Direct and Indirect Impacts of Boarding Medical Patients in the Emergency Department on the Urgent and Emergency Care Pathway | — |
| Rajat Mukherjee | MuSigmas Consultants | Workshop | Simulation guided Bayesian Designs using R | — |
| Rhiann Stock | National Biodiversity Network Trust | Talk | How We Share 300 Million Wildlife Records Online for Free and What They Tell Us | — |
| Romain François | tada.science | Talk | Jupyter Widgets for R | — |
| Samrit Pramanik | Sanofi | Talk | {AstronomR}: Statistical Frameworks for Astronomy Lovers With R | — |
| Sarah Weidman | Dogs Trust | Talk | Understanding Dog Relinquishment: Insights From Multidimensional Analysis in R | — |
| Stephen Price | City & Guilds | Talk | R Wizardry: Building Capability and Community From the Bottom Up | — |
| Stephen Wilkins | University of Sussex | Talk | Simulating the Universe… With Python? | — |
| Vincent Murphy | Brainstorm Hyperludic | Talk | The 4th Hyperludic Accelerant – 'How Can We Know Where We Are Going if We Don't Know Where We've Been?' | — |
| Will Millard | National Biodiversity Network Trust | Talk | How We Share 300 Million Wildlife Records Online for Free and What They Tell Us | — |
| Zac Nash | Fresh Egg | Talk | Bespoke GA4 Anomaly Detection With Python | — |
Sources
- https://web.archive.org/web/20250913181128/https://earl-conference.com/
- https://web.archive.org/web/20250910042346/https://earl-conference.com/speakers-agenda/
- https://wesmckinney.com/transcripts/2025-10-16-earl-uk-keynote.html
- https://siliconbrighton.com/events/earl-2025-r-py-tech-conference/
- https://web.archive.org/web/20250913194759/https://earl-conference.com/faqs/
- https://earl-conference.com/wp-content/uploads/2025/06/EARL-2025-Enterprise-Applications-of-the-R-Python-Language.pdf