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Theme
Technology
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All tickets include: Inspiring talks by 3 talented speakers, including a panel discussion and direct engagement with speakers after talks. We will also screen an additional talk.

Finger foods, hot beverages and delicious Sir Fruit juice to quench your thirst. 

We should feel privileged to live right now, when the possibility to expand our imaginations and our world, more than ever before, IS within reach,” said TEDxCapeTown speaker, Adriana Marais. A South African theoretical physicist and Mars One candidate astronaut. For her, the allure of the unknown has always been more powerful than the comfort of the known.

Young people today have access to knowledge centers (physical and online) broadening their understanding of what's possible. Traditional industries now more than ever require soft and hard skills, and the drive to develop technology-based education is on the rise.

But how have we (and can we) use this power of technology to stretch our imaginations, and improve our lives in the short-term and long-term to ensure generations after us live a holistically improved life?

Join us as we explore the milestones, the key learnings and the (im)possible!

Programme

SPEAKERS:

Dr Tinashe Mutsvangwa - a biomedical engineer & academic at University of Cape Town. He’s presenting a talk focused on bridging the radiological divide, and he looks forward to communicating his idea and passion in a way that not only appeals to a wider audience but also develops a narrative that takes his idea beyond the academic world.

Kyle Ueckermann - a serial entrepreneur who’s passionate about people and technology, on a quest to build a better world. He’ll be speaking about how we can change the way we think about social impact, ultimately giving society a real chance to eradicate poverty.

Baratang Miya - a social entrepreneur and currently the MD of Uhuru Spaces a cultural innovation co-working space, and the CEO of GirlHype, a coding school for women and girls. She’ll be delivering her talk centred around how Algorithms reflect the stereotypes and biases of their creator.