Events

CSNOW - The Network of Women in Computer Science

On January 27 2022 come and hear about the CSNOW initiative at ETH Zurich for breaking down gender-based barriers and prejudices.
CSNOW - The Network of Women in Computer Science
CSNOW

Please note that this is an online event!

Due to current restrictions, the event will be held online via Zoom. A link to the zoom streaming will be sent to the registered participants.

Schedule

  • 14:00 - 14:15 Intro + interactive part
  • 14:15 - 14:45 CSNOW - The Network of Women in Computer Science at ETH Zurich. Talk by Dr. Ece Ozkan
  • 14:45 - 15:30++ Q&A 

CSNOW - The Network of Women in Computer Science at ETH Zurich.

Pitfalls, successes and lessons we learned

A talk by Dr. Ece Ozkan. 

According to the Unesco Institute for Statistics (UIS) data, less than 30% of the world’s researchers are women. If we take a closer look, the Department of Computer Science at ETH Zürich has never achieved a quota of women of 15% or more since it was founded. Furthermore, female role models in the field of computer science are not only rare, but also less visible. The underrepresentation of women in computer science contributes to the fact that women in the field feel less welcome. To overcome these problems, the Department of Computer Science at ETH Zurich founded The Network of Women in Computer Science (CSNOW) in 1993. We, as CSNOW, aim to break down gender-based barriers and prejudices, and to create a study and work climate that is pleasant for everyone. For that, we organize several seminars, workshops, networking events and mentoring programs. We strongly believe that it is important to include everyone into the discussion about gender inequality. Therefore, CSNOW events and discussions are not exclusively for women but for our colleagues of all genders.

About the presenter

Ece studied Electrical Engineering and obtained her PhD degree in December 2018. She is currently a Postdoctoral Researcher in the Medical Data Science group led by Prof. Dr. Julia Vogt in Computer Science Department at ETH Zurich. Her research interests are machine learning, image processing and interpretability to tackle medical problems. She is the co-leader of CSNOW (Network of Women in Computer Science) since August 2021. 

 

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