On 27 of June we are bringing Frankfurt Data Science, Women Techmakers and Women in AI communities together to talk about the most IMPACTFUL topic for humankind and nature - Multiplying social good by using Data and AI.
How many lives were saved with a help of predictive analytics in medical diagnostics? Hurricane Sandy, how many children were found under the ruins of houses and saved with a help of graph analytics? Hundreds and thousands. Oil spills diffusions are prevented with a help of deep learning of images made by satellites. Isn’t it all awesome?
We have great people on the stage and in the room, professional, inspiring and confident. Besides, we are inviting our audience to take part at our super-special fishbowl discussion.
18:00 - Doors open
19:00 - Welcome! Intro by WTM, Frankfurt Data Science and Women in AI
19:15 - Talks
SOCIAL CAUSE MATCHER
By Vidya Munde-Müller, Co-Founder of GiveTastic
Vidya founded a social startup that is matching our ❤ ❤ ❤ with a right charity organizations, so we can make a right contribution to the right organisation on the matter our hearts care most, all that - easy, seamless and with a help of AI.
HOW SOCIAL ENTREPRENEURS ARE USING DATA TO DO GOOD
As heroes of the modern age, Social Entrepreneurs set out to change society for the better. Find out how data is playing a relevant role in their endeavours in this talk by Social Impact Lab Frankfurt incubation manager and Social Entrepreneurship Network Germany co-founder, Michael Wunsch.
PASSION IS NOT ENOUGH
Andre Lange, Leader of local Rhein-Main Chapter of CorrelAid
650 voluntary data scientists, who have their normal daily full-time jobs, evenings are coding together deep learning algorithms to help mission-driven organisations to create more social good. How these people are doing that, is in this talk by Andre.
20:30 - Fishbowl discussion
21:00 - Networking
SUPPORTERS: Thanks to our kind supporters SAS (https://www.sas.com/de_de/home.html) and STATWORX (https://www.statworx.com/de) and our very kind hosts Frankfurt School of Finance & Management. BIG BIG BIG THANKS! Without them, this standout event won’t be possible.
FFM Data Science, Women Techmakers and Women in AI Teams