The amount of data we are leaving behind is expanding as apps, smartphones and general interaction with the internet have become more and more integrated into our daily lives and the monitoring and selling of our personal data are increasing as the development of machine-learning progress.
The possible future scenarios this development will bring are many and consequences unknown. It all depends on the context.
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The amount of data we are leaving behind is expanding as apps, smartphones and general interaction with the internet have become more and more integrated into our daily lives and the monitoring and selling of our personal data are increasing as the development of machine-learning progress.
The possible future scenarios this development will bring are many and consequences unknown. It all depends on the context.
Gender inequality within academia and science is an issue all over the world. Even though more than half of the undergraduates and even more master students are women only 29% of the employees at the universities are and only 5% of the professors. These numbers are the global average. But gender equality is an issue in academia in all countries even those that er considered pioneers within gender equality.
This episode of the science and cocktails podcast will dive into the gender equality issues in science and academia and look at why science is so far behind in combating gender inequalities in a supposedly gender-equal country like Denmark.
The Science and Cocktails Podcast
The amount of data we are leaving behind is expanding as apps, smartphones and general interaction with the internet have become more and more integrated into our daily lives and the monitoring and selling of our personal data are increasing as the development of machine-learning progress.
The possible future scenarios this development will bring are many and consequences unknown. It all depends on the context.