Our hybrid launch event is almost upon us! 'Health Equity: What has Data Science ever done for us? is taking place on Thursday 7th April and preparations are in full flow: we have a super interactive programme lined up, a fantastic panel of speakers, and most importantly: deep-fried ice cream.
Ready to Download Join the next DSxHE Download, our informal virtual community meet-up, on Tuesday 12th April at 8am BST. We will be chewing the rag over genetic ancestry and digital phenotyping and in the extremely capable hands of Lyra Nightingale and Arup Paul.
Check out the DSxHE Digest for pieces on health equity tourism and transfer learning: this month's highlights from the DSxHE Library. Plus we've got the usual handy breakdown of upcoming events, job opportunities, resources and funding calls from across the community.
And last but not least - don't miss April's fantastic Data Viz of the Month: a beautiful visual tool from the INTERACTA team showing the similarities between countries based on different nationwide metrics.
The DSxHE Team
And on today's menu....
News from DSxHE
Upcoming DSxHE Events Launch event
Our official launch event is taking place on the 7th April! Join us to brainstorm, debate and discuss what data science can *really* do for health equity. This event is being run as a hybrid event (London + virtual) with opportunities to meet wonderful members of the DSxHE community in-person and online. You'll be tasked with tackling a problem posed by a panel of some of the best and brightest in data science and health equity. AND if you're still not excited enough, the Sir Michael Marmot will be joining us too.
Join us for The Download, our regular monthly virtual community space to discuss podcasts, articles, papers and more, amongst like-minded members of the DSxHE community! This month we'll be hearing from Arup Paul and Lyra Nightingale, who will be leading discussions on digital phenotyping and genetic ancestry respectively.
The event is open to anyone, anywhere, no matter your level of experience or background. Join us on Tuesday 12th April at 8am (BST).
Data Viz of the Month
An Alternative Data-Driven Country Map created by Nikita Rokotyan and others at INTERACTA, creates a map linking different nations based on metrics including health expenditure, unemployment, control of corruption and civil rights liberties. The tool allows you to find connections and harmonies that you might not have anticipated.
Lett et al.
This essay introduces the idea of 'health equity tourism', whereby investigators without previous experience of the field decide to pivot their research towards health equity without a long-standing commitment to the field, in pursuit of grant funding or impactful papers. The authors offer a set of guidelines for novice equity researchers to become engaged community members rather than mere tourists.
M. Toseef, X. Li & K-C. Wong
Biomedical datasets are heavily biased towards individuals of European ancestry. This has the potential to lead to health disparities as analyses often do not generalise across ethnic/ancestry groups. In this paper, Toseef et al. develop deep learning and transfer learning models to combine data from multiple cohorts of different ethnicity, and show that their approach to improves predictive performance.
Want to see all the articles, podcasts, papers, blogs, videos, funding calls, events and training opportunities that have been shared across the DSxHE Slack workspace?
Call for events
Do you have an idea for an event that might be relevant to the DSxHE community? We have a fantastic (and growing) team of volunteers itching to help you plan, organise and promote it.
Call for themes
Want to shine a light on a specific area of interest in data science and health equity, and want to tap into the DSxHE community? Setting up a DSxHE Theme might be just the thing for you.
Call for partners
We looking for partners to help build the community and support our activities. Four different types of partnerships are available - core, theme, event, and media.
News from the Community
Here's a few external events coming up in the next month that might float your boat. If there's an event you'd like to highlight on a future edition of this newsletter, then post in on #events on our Slack workspace or get in touch.
Intelligent Health UK. Wednesday 6th and Thursday 7th April. In-person at the ExCel, London.
Community for Racial & Ethnic Equity in AI: Insight Session on Patient and Public Involvement (PPI). The NHS AI Lab & the Health Foundation have launched a community of practice to advance knowledge and inform practice related to AI in healthcare, with the aim of improving health outcomes for minority ethnic populations in the UK. Join us virtually at 10.00am – 12.15pm on Tuesday 26 April.
We've rounded up some highlights below - come and join our Slack channel to keep updated with the latest funding opportunities.
Essential Open Source Software for Science program. A new cycle of funding call is open for supporting the needs of computational tools broadly used in biomedicine and science. For 2-year grants and a $50-200k budget per year, submit letters of intent by 19 April 2022.
Looking for your next career move or project? We'll bring you a rundown of new roles and opportunities to further health equity through data science. If you're looking to find the next bright star in your team, share your advert with the community on Slack:
Administrator, Ethical Healthcare Consulting CIC. EHC takes a flexible approach to set working hours and place of work for employees. The starting salary for this role is between £20k - £30k.
Research Scientist, Responsible AI Health Research, Google. This role requires a PhD degree in Computer Science & experience in Python and Machine Learning. The role is based in Google's London office.
Scientific Lead for the Diverse Data programme, Genomics England. Join the Diverse Data programme on a flexible basis (1 to 4 days per week), to play a consultative key role in shaping and supporting the delivery of the programme’s scientific and analytical strategies. This is a 3 -12 month fixed term contract.