This video was recorded at Code Mesh LDN 19 - http://bit.ly/37xc3Nr Get involved in Code Sync's next conference - http://bit.ly/2Mcm4aS --- LET'S GET MORE WOMEN INTO COMPUTER SCIENCE by Mary Sheeran THIS TALK IN THREE WORDS: Call To Action TALK LEVEL: Intermediate ABSTRACT It is well known that science and engineering disciplines fail to attract and retain women, in academia and in industry. And horrifyingly, computer science is at the bottom of the class. In this talk, Mary will consider the current sorry state of computer science in academia, why we have ended up here, and what we can do. Slides & full abstract: https://codesync.global/speaker/mary-sheeran/ --- THE SPEAKER - MARY SHEERAN Mary Sheeran has been a functional programming enthusiast for nearly 40 years, at Oxford University, Glasgow University and now Chalmers University of Technology, where she has been a full professor since 1999. She was designing and using a functional hardware description language before there were hardware description languages, and she contributed to the development of SAT-based methods for verifying hardware. She has been supervisor to a great bunch of doctoral students too. This has all entailed working mostly with men. A couple of years ago, her university asked its staff "How would you like to change Chalmers?" and the answer was obvious to her: increase gender equality, aiming for excellence. The resulting proposal was funded to the tune of about 30 million euros and work on the Genie initiative began last January, with Mary as co-leader. More on Mary Sheeran: https://codesync.global/speaker/mary-sheeran/ --- CODE SYNC & CODE MESH LDN 19 Code Mesh LDN is powered by Code Sync. Code Mesh LDN 19 was sponsored by WhatsApp, Microsoft, Erlang Solutions, Juxt, aeternity, Duffel, and IOHK. CODE SYNC Website: www.codesync.global Twitter: www.twitter.com/CodeMeshIO Facebook: https://www.facebook.com/CodeSyncGlobal LinkedIn: https://www.linkedin.com/company/code-sync/ Mail: info at codesync.global #WomenInTech #WomenInSTEM #ComputerScience