# AI for Multiple Long-term Conditions - Research Support Facility
## Informal Lunchtime Early Career Researcher Sessions

**Session: Wednesday 6 April 2022 12:15-13:00**
[Zoom link](https://turing-uk.zoom.us/j/97113158583?pwd=ZXU2Mng2Mk1VQTdVQU1KcFZHTTFPQT09)

The AIM RSF is keen to create a regular informal, lively and supportive space for you to meet your fellow early career researchers, e.g. PhD students, postdocs, research fellows, data analysts, data scientists, data wranglers, software engineers and clinical researchers.

The sessions will provide a dedicated space for you to participate in informal lunchtime talks, discussions or ‘just in time’ training sessions to answer questions sent in advance. The intention is for you, as a community of AIM researchers and project staff (and supported by a dedicated RSF Community Manager), to inform your own agendas for these sessions so that they cover areas of interest and value to your work and enable the development of a collaborative and vibrant AIM research network.

For further information about ECR community development and training, please contact **Dr Evelina Gabasova** at [e-mail] or the RSF at [e-mail]

## Agenda - Please bring your lunch!

1. Welcome and introductions
2. Intro to Hackmd
3. Getting to know each other
4. What is the AIM Research Support Facility
6. Brainstorm and feedback on format, frequency, opportunities and needs

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## Attending

Please put in your name, affiliation and an emoji that sums up your mood today

- Evelina (AIM RSF, The Alan Turing Institute) :t-rex:
- Rafael (QMUL) :+1:
- Guillermo (U of Edinburgh) :sunrise_over_mountains:
- Fabiola (QMUL) :slightly_smiling_face:
- Alisha (QMUL) :a:
- Evelina again :+1:
- Mon (yes I did attend!)- :dog:
- Becky (Southampton City Council/Uni of Southampton) :woman-swimming:
- Soraia Sousa (Newcastle Uni) :smiley:
- Clare MacRae (ACRC/AIM CISC at University of Edinburgh)
- Lucy Kaluvu (ARC NWC/ AIM University of Southampton)

:smile_cat:
:knife_fork_plate:

## Apologies

- Mon (University of Edinburgh) :female-judge:
- Elizabeth (AIM RSF, The Alan Turing Institute) :office: :pencil:

## Getting to know each other

**Tell us about yourself**

Please put in your name, your research team and what you find most interesting in your project.

- [name=Evelina] I'm leading the open collaboration and training theme in **AIM RSF**. Other than that, I'm a Principal Research Data Scientist in The Alan Turing Institute, part of the Research Engineering group. My background is in AI (probabilistic modelling), computer science and biomedical research. I'd like to find overlaps between the work across the AIM teams and drive creation of open source tools and data standards that would be useful to the wider community.
- [name=Elizabeth] I'm a Research Project Manager (RPM) at The Alan Turing Insitute, currently working alongside Evelina and Mon to help facilitate the delivery of both the **AIM RSF** programme and its research themes. I come from a neuroscience and AI background and enjoy supporting teams.
- [name=Dave] I'm the **AIM RSF** Programme Manager at The Alan Turing Institute and work with Elizabeth, Evelina & Mon (and others!) to support the RSF's work. I can't be at the meeting on 17th, but I'm looking forward to supporting activity across the AIM programme - let me know if I can be of any help!
- [name=Rafael] I'm a PDRA at Queen Mary University of London, working on data engineering and interactive analysis tools for our AI MULTIPLY consortium. My background is in data visualisation. I'm interested in issues regarding mapping codes and data analysis at scale.
- [name=Guillermo] I'm a PDRA at the University of Edinburgh (AIM-CISC project), working on morbidity clustering from the perspective of network science (community detection methods). My background is AI, probabilistic modelling, and network science.
- [name=Fabiola] I am an epidemiologist (nurse) and postdoc working at QMUL on a multimorbidity collaborative project with AI front. We are looking at clusters of patients and their disease trajectories over time. One of the most interesting things about our project is looking at ethnicity disparities in the trajectories of diseases over the lifespan.

- [name=Becky] I am a Consultant in Public Health working with the MELD-B collaboration. My specific role is to lead on pathways to impact by engaging with policy and practice stakeholders - particularly in relation to prevention opportunities early in the lifecourse or in areas of wider determinants of health.

- [name=Soraia] I am a Consultant Liaison Psychiatrist in Gateshead working in the mental health part of the MULTIPLY project. We are looking at the effects of polypharmacy on multimorbidity, and my role has a focus on the effects of psychotropic medication. I have no knowledge of AI so I'm keen to learn.

- [name=Clare] I am a GP in Edinburgh and have started my PhD a few months ago. We will be using SAIL data to build a multilevel model to look at how environment and individual characteristics affect people's risk of multimoridity or importnat healthcare outcomes. I am completely clinical in my skillset with no previous data science experience, so this is a big learning curve and I've been working on learning R over the past few months.

- [name=Alisha] I am a research data scientist working at QMUL on the Multimorbidity/Polypharmacy project.

- [name=Lucy] I am a NIHR ARC NWC PhD student with Edge Hill University and the AIM Multimorbidity Group University of Southampton. Working on a PhD project on multimorbidity clustering and health inequalities and collaborating with the AIM on multimorbidity clustering and AI. Background-Public Health and Epidemiology. I am looking to learn more on data science-use of statistical software (STATA,R), network with researchers working on multimorbidity clustering and data science.

## Keeping in touch

Please add `+` for every technology that you use/would be happy to use to stay in touch.

- Email ++++++++
- Slack +++
- Teams +++++
- Zoom ++++
- Gather ++
- Github ++
- Discord
- Discourse
- WhatsApp
- Linkedin closed group
- Other (please write down your suggestion):

What would be the ideal frequency? Again, please add `+` for your preferred choice:

- Weekly
- Fortnightly+
- Monthly ++++++

## Ideas for future sessions
Some presentation of our work maybe? This might be a nice space for friendly and non threatening space to learn skills in presenting? +

## Useful links

- [Turing AIM RSF website](https://www.turing.ac.uk/research/research-projects/ai-multiple-long-term-conditions-research-support-facility)
- [AIM RSF monthly seminars](https://www.turing.ac.uk/events/rsf-monthly-seminars)
- [The Turing Way](https://the-turing-way.netlify.app/welcome.html)