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conference24.qmd
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---
sidebar: false
page-layout: article
toc: false
title-block-banner: false
code-fold: true
---
{fig-alt="RPYSOC conference 2024 banner."}
21 and 22 November 2024, Hall 11, [ICC Birmingham](https://www.theicc.co.uk/)
The two open source communities, NHS-R Community and NHS.pycom, are hosting an in-person and virtually streamed annual conference we've called RPySOC (incorporating R, Py from Python and using the initials for Open Source Conference). We will have over 120 people in person with as many as double or triple that online. Both in person and virtual attendees are invited to post Q&As and have discussions with peers in our NHS-R Community Slack and which is available throughout the year for technical support, sharing useful information and connecting with others in our profession.
We have R and Python talks throughout two days in lightning (10 minutes) and plenary (20 minutes) slots and we will also have an in person event called an unconference, introduced to us through colleagues at The University of Edinburgh, which runs alongside the talks. This is where attendees put forward suggestions for discussion which others sign up to.
Talks will be recorded and shared on YouTube and slides made available in our [conference-2024 repo](https://github.com/nhs-r-community/conference-2024).
## Tickets
In-person attendance - full, but please email us at [[email protected]](mailto:[email protected]) to join the waiting list.
Virtual attendance - tickets are available by completing this [form](https://forms.office.com/e/NBcjv7LVJ4).
## Slack
We will be using a dedicated conference channel #in-person-conference-talks on Slack to take questions for our speakers. Last year this allowed both in-person and virtual attendees to ask questions and inspired discussions that lasted beyond the conference.
There will also be an unconference channel: #unconferencing-session.
A link to join the NHS-R community Slack channel can be found in our [postcard](https://postcard.nhsrcommunity.com/).
## Programme
*Timings are subject to change even on the day*
:::panel-tabset
## Day one
```{r}
fixed_points <- c(
"Break",
"Lunch",
"Registration and coffee",
"Welcome and Housekeeping",
"Closing of day"
)
tibble::tribble(
~Time, ~Title, ~Speaker,
"09:00 – 09:45", "Registration and coffee", "",
"09:45 – 09:55", "Welcome and Housekeeping", "Zoë Turner",
"09:55 – 10:20", "RAPping my head against a databricks wall", "Louise Schreuders",
"10:20 – 10:35", "Reducing mental health inequalities among the BAME residents of Herefordshire and Worcestershire communities", "Oluwatimilehin Olabamiyo",
"10:35 – 11:00", "Simplifying development of AI applications integrated in EHRs with Health Chain", "Jennifer Jiang-Kells",
"11:00 – 11:15", "Beyond the dashboard: R for value added insights", "Nicola Farthing",
"11:15 – 11:45", "Break", "",
"11:45 – 12:00", "Reimagining NHS dashboards: an open-source approach with plotly-dash", "Jennifer Struthers",
"12:00 – 12:25", "Using Machine Learning and secondary care activity data to identify risk of cancer earlier", "Scarlett Kynoch",
"12:25 – 12:40", "The patient does not exist – generating synthetic patient data with Wasserstein GAN", "Simon Newey",
"12:40 – 13:05", "Streamlining machine learning development at the NHS via open-source tools", "Elias Altrabsheh and James Sibbit",
"13:05 – 13:07", "rainbowR", "Ella Kaye",
"13:07 – 13:55", "Lunch", "",
"13:55 – 14:10",
"What insights did Glasgow Scottish Ambulance Service (SAS) gain from combining multiple data sources about all chest pain patients from 2023? We'll present about the process and findings of a 1-year long MSc dissertation project.", "Katalin Koszegi",
"14:10 – 14:25",
"Predictive Modelling for health and social care capacity planning using open data", "Sebastian Fox",
"14:25 – 14:50", "To explain or predict: how different modelling objectives change how you use the same tools", "Chris Mainey",
"14:50 – 15:05", "Using Openxlsx2 to automate excel publications", "Ruth Keane",
"15:05 – 15:35", "Break", "",
"15:35 – 15:50", "What I learnt about (programming) languages by building bilingual websites", "Rosemary Walmsley",
"15:50 – 16:15", "Leveraging R to implement novel theoretical development in online ‘digital twin’ simulation modelling", "Richard Wood",
"16:15 – 16:30", "Should I use your package", "Colin Gillespie",
"16:30 – 16:45", "Cracking open the TiN: how we build a one-stop statistics website using R, GitHub and BigQuery", "Mohan Del",
"16:45 – 17:10", "Closing of day", ""
) |>
gt::gt() |>
gt::cols_width(
Time ~ px(110),
Title ~ px(500),
Speaker ~ px(150)
) |>
gtExtras::gt_highlight_rows(rows = Title %in% fixed_points)
```
## Day two
```{r}
tibble::tribble(
~Time, ~Title, ~Speaker,
"09:00 – 09:45", "Registration and coffee", "",
"09:45 – 09:55", "Welcome and Housekeeping", "Zoë Turner",
"09:55 – 10:20", "The Reusability Crisis in Healthcare Analytics", "Rhian Davies",
"10:20 – 10:35", "Shift staffing via task load prediction", "Marcos Fabietti",
"10:35 – 10:50", "Unleashing the power of pathway simulation", "Sammi Rosser",
"10:50 – 11:15", "Break", "",
"11:15 – 11:40", "New generic tests for cancer – with R is a clinical scientists best friend", "Joe Shaw",
"11:40 – 11:55", "Beyond automation: a shiny app to maximise analytical impact routine reporting narrative", "Laura Birks",
"11:55 – 12:10", "Sharpening my Python skills through self-development of web scraping bank complaints data", "Kenneth Quan",
"12:10 – 12:25", "GitHub as a team sport", "Matt Dray",
"12:25 – 13:10", "Lunch", "",
"13:10 – 13:25", "Presenting fingertips in data in a more friendly format", "Rachel Brown",
"13:25 – 13:50", "A method to apply temporal graph analysis on electronic patient record data to explore healthcare professional patient interaction intensity", "John Booth",
"13:50 – 14:05", "Deploying a Shiny app with Docker in a Raspberry Pi", "Pablo León Ródenas",
"14:05 – 14:20", "Estimating flexible hazard rates for C diff recurrence from electronic health records using the SplinHazard Regression package and other methods in R", "Elisabeth Dietz",
"14:20 – 14:45", "Assessment of patient feedback using Natural Language Processing (NLP) and textual data analysis in R", "Ana Singh",
"14:45 – 15:15", "Break", "",
"15:15 – 15:40", "Forged in the fire: agile project management lessons from the frontline", "Chris Beeley",
"15:40 – 15:55", "Community Talk – Turing Way", "Sophia Batchelor",
"15:55 – 16:05", "Community Talk -NHS.Pycom", "Alex Cheung",
"16:05 – 16:15", "Closing talk NHS-R Community and raffle", "Zoë Turner",
"16:15 – 16:20", "Raffle", "",
"16:20", "Closing of the day", ""
) |>
gt::gt() |>
gt::cols_width(
Time ~ px(110),
Title ~ px(500),
Speaker ~ px(150)
) |>
gtExtras::gt_highlight_rows(rows = Title %in% fixed_points)
```
## Unconference
The unconference was a popular addition to the conference last year. People came forward with ideas and questions inspiring some great discussions on topics ranging from Quarto to statistical tests to NHS-R Community branding. We will be trying out unconferencing again and look forward to seeing you there.
Day one - we will take suggestions for informal group discussions which people can vote for or say they can turn up to.
Day two - we will split the room so that people can move between the speaker sessions and the unconference.
For more information on unconferencing we have a [podcast talk](https://nhsrcommunity.substack.com/p/nhs-r-podcast-14th-december-unconferences-6da?utm_source=substack&utm_medium=email) with Pawel Orzechowski from the University of Edinburgh who introduced the idea of unconferencing to us and a [blog](blog/what-was-the-unconference.qmd) by Ben Murch on how it went at the conference.
:::