Feb 26, 2021
According to statistics, gender diversity is extremely important for IT companies. Successful startups have twice as many women in senior roles than unsuccessful companies. The cost-effectiveness of companies headed by women is 35% higher than of the companies headed by men. Despite this, even in the USA, the number of female staff working with Data science is only a quarter of all employees. Ukrainian statistics in this regard are even worse.
That is why we decided to hold the ninth educational module on Computer Science. The two-day event took place online at the end of February and united leading specialists on Data science, Artificial intelligence, and Machine learning. The module was also joined by motivational speakers – representatives of NATO, Embassy of Sweden in Kyiv, and others.
Participants of the module had lectures and workshops on Computer Science and worked on the concept of an application that can be useful in resolving social problems. The girls who participated in the module presented a lot of original ideas focusing on resolving the problems that people with various disabilities face daily.
Mariia Kalinichenko from Dnipro won the grand prize of the module. She created a concept of an application that can replace a sports coach for people with physical disabilities and Paralympian. The second place was taken by two girls: Victoria Konaschuk from Kyiv and Anna Brosalina from Boryspil. They worked on the applications for disabled drivers and people with eating disorders.
CEO of Gamingtec
The module aimed to focus the attention of the participants on social problems so they would offer ideas on how to resolve them with help of AI technology. We were impressed by the variety of ideas and original solutions. Such competitions help teenagers to realize that they can change the environment and make it more comfortable and inclusive,
Stem is Fem is a charity project initiated by Gamingtec that motivates girls to try professions that are still male-dominated. The main goal is to break stereotypes and restore gender balance in employment.
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