About WeCREATE
WeCREATE is a community built to inspire female students and young professionals, dispelling myths and highlighting the creative promise of AI and machine learning. At its core, WeCREATE is a series of free, interactive engagement sessions aiming to encourage women to embrace creative careers in AI and machine learning. WeCREATE is the brainchild of Prof. Mihaela van der Schaar, the University of Cambridge’s John Humphrey Plummer Professor of Machine Learning, AI and Medicine at the University of Cambridge.
Created for women, open to all
The driving idea behind WeCREATE is that no-one should be discouraged from pursuing AI and machine learning. Many of us have been told at some point that these areas are not for women, that they are dry and lack creativity, or that they don’t offer a way to make an impact and change the world. None of this is true, and we can prove it. We want to explode these myths in front of the largest, broadest possible audience. That’s why, while our message is mainly for young women, all are welcome. All you need is curiosity and an open mind.
Whether you’re a high school student wondering about your next big step into higher education, an undergraduate considering further study or career options outside academia, or a postgrad or professional looking for inspiration, we hope you’ll join us.
Online engagement sessions with world-leading guests
We want to offer a space for women interested in AI and machine learning to engage directly with—and learn from—academics and professionals at the top of their fields who are making their mark on the world with creativity and a sense of purpose every day.
In these sessions, we will dispel STEM-related myths, introduce inspiring role models, and showcase projects that are creative and/or achieve social benefit across a wide variety of professional fields.
The full videos of all the previous sessions are available to anyone and can be found below or on our YouTube channel.
How do I sign up?
To sign up for the future sessions, subscribe using the quick form below. You will be notified by email of the upcoming sessions, when they will take place, and how to join them.
WeCREATE
Our sessions feature inspiring women in the field of AI, Machine Learning, Engineering, Computer Sciences, and beyond.
During the panel discussion we will usually:
– showcase their creative and impactful projects in academia or industry
– talk about their unique career journeys
– discuss education: e.g. whether or not to consider a graduate degree and how to make that decision and apply for various opportunities
Standard session format:
– brief introduction to the session
– showcase of the panellists’ creative projects and Q&A with Mihaela
– open Q&A with the audience
WeCREATE: Mailing List Sign-up
If you’d like to join us for future sessions, please sign up using the form below and you will be notified with all the details by email!
Sign-up here!
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Past Sessions:
WeCREATE Inspiration Session 3
In WeCREATE Inspiration Session 3 on 18 May 2023 we discussed the crucial topic of Responsible AI with our three amazing panelists: Dr Jenn Wortman Vaughan (Sr. Principal Researcher, Microsoft Research, NYC), Dr Lea Goetz (Senior AI/ML Engineer, Responsible AI, GSK), and Dr Emily Denton (Staff Research Scientist, Google).
WeCREATE Inspiration Session 2
During this session on 28 September 2022, we highlighted four inspiring women from industry and academia, by showcasing creative and impactful projects they are working on. Our panel discussion was followed by a great Q&A from the audience.
WeCREATE Inspiration Session 1
During this session on 8 June 2022, we highlighted three inspiring women, by showcasing creative and impactful projects they are working on. There was a fantastic panel discussion and great questions from the audience afterwards.
WeCREATE Launch event International Women’s Day 2022
The WeCREATE launch event outlined the bold and ambitious vision behind WeCREATE, and explained why we decided to build a platform for exploring the excitement of creative careers in AI, engineering, computer sciences, and applied math (with a special focus on AI and machine learning).
