Leandra Bräuninger

AI x Health x Equity Researcher | Alum @UniofOxford @HSGStGallen | currently working with @turinginst @GenomicsEngland @stats_UCL | organiser at @DS_x_HE

[Leandra Bräuninger @_LeandraBr]

that was fun!! thanks again to speakers @dr_laws and @claireicoffey as well as conference organisers @cwstat

for anyone who wants to find out more -> check out our website https://t.co/MqDG9uy1t0

enjoy the rest of the conference!
#DSxHE #IDWSDS2024 #healthequity #womenintech

[Leandra Bräuninger @_LeandraBr]

🚨 Exciting News! 🚨
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Join us for the @DS_x_HE session at the International Day of Women in Statistics and Data Science (IDWSDS) on October 8, 2024! 🌍💻

🕚 11 AM UK / 10 AM UTC

Don’t miss out! Register on https://t.co/em0L51oOYS 🎟️
#IDWSDS #HealthEquity #DSxHE

[Leandra Bräuninger @_LeandraBr]

happening in 20 mins here: https://t.co/mSBW5QGK8G

[Leandra Bräuninger @_LeandraBr]

We are excited to announce next week's instalment of our webinar series with speaker Dr Wiebke Hutiri from SONY AI .

Dr Hutiri will be joining us to explore discussions around trustworthy AI and the responsible design patterns that can lead us there.

[Leandra Bräuninger @_LeandraBr]

💡 Come learn about trustworthy AI at next week's DSxHE Stats webinar on:

Responsible Design Practices for Trustworthy AI: A Design Patterns Approach

sign up here (it's free!)
https://t.co/cgLL1URPc9

[Data Science for Health Equity @DS_x_HE]

🚀DSxHE: Building a world where data improves everyone's health

In just two weeks, DSxHE will launch a new three-year strategy, laying out our focus areas for 2024–2027.

https://t.co/SIAy2a9weq

[Data Science for Health Equity @DS_x_HE]

📢 Sign our open letter to call on the government to:

- Prioritise healthcare equity
- Foster transparency & accountability
- Support the involvement of marginalised communities in AI development
- Fund R&D to address bias & inequities in AI

https://t.co/Vb2HcxMqX3

[Data Science for Health Equity @DS_x_HE]

📢 UCL Symposium on Data Science for Health Equity

A one-day symposium on “Statistical Methods for Health Equity” with keynote speaker Prof. Bhramar Mukherjee (University of Michigan)

https://t.co/UI95QULU3t

📅Wednesday 8th November

[Leandra Bräuninger @_LeandraBr]

my colleague @EvDimitriou is debunking flashy headlines with proper statistics:

learn how to be scientific in this 3 minute read ->
Unraveling Relative Measures: The Mystery of Misleading Headlines! https://t.co/FYpnMgruny

[Data Science for Health Equity @DS_x_HE]

📢EDIS (@edisgroup) has just launched an EDIS-sponsored Toolkit for Creating Radically Inclusive Grassroots Events developed by the Transgender Professional Association for Transgender Health (@TPATHealth). ✨

[Sam Nutt @SamANutt]

Loving the call to action from our last event of today of #LondonDataWeek talking about AI and Genome Editing at @TheCrick @CrickAIClub with @DS_x_HE - the public need to be more involved in these conversations to get the ethics right in the future!

[Lebohang Nkhahle @_lekhara_khara]

@DeepIndaba X Lesotho on the 30th of June 2023. More details loading...

[Data Science for Health Equity @DS_x_HE]

Hello, we're DSxHE (Data Science for Health Equity) 👋

We're a global community bringing together experts, enthusiasts and hobbyists working at the intersection of data science and health inequalities to ensure that the latest research and innovations improve health equity. 🌍

[Data Science for Health Equity @DS_x_HE]

Are you wanting to jump feet first into the DSxHE community? Well, here's your chance.

With a busy year ahead, we're looking for some more organisers to hop aboard and steer this brilliant ship with us.

For more info and to see our HUGE plans for 2023👇

https://t.co/IVRXUjNfIr

[Data Science for Health Equity @DS_x_HE]

🚨One week today!🚨

The Statistical Methods for Health Equity Series is back for its first webinar of 2023, welcoming Dr Joshua Loftus from @LSEnews for a talk on "Using causality for model explanations and algorithmic fairness".

RSVP 👇

https://t.co/bbhDBT3t8q