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DASH in Africa

The Data Science & AI Summit (DASH) will inspire, teach and connect innovators in the health data science/AI community within Africa

The Data Science & AI Summit (DASH) will inspire, teach and connect innovators in the health data science/AI community within Africa

DASH in Africa

by Harvard Law School
DASH in Africa
DASH in Africa
DASH in Africa

What is it about?

The Data Science & AI Summit (DASH) will inspire, teach and connect innovators in the health data science/AI community within Africa. Through a cross-disciplinary approach that empowers participants to customize the event content, we will explore lessons learned from previous digital health revolutions, highlight new challenges in the advent of AI and cultivate ideas and collaborations that will drive the ecosystem towards scalable impact.

DASH in Africa

App Details

Version
8.9.1
Rating
NA
Size
129Mb
Genre
Business
Last updated
June 9, 2020
Release date
February 7, 2020
More info

App Screenshots

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DASH in Africa screenshot-1
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App Store Description

The Data Science & AI Summit (DASH) will inspire, teach and connect innovators in the health data science/AI community within Africa. Through a cross-disciplinary approach that empowers participants to customize the event content, we will explore lessons learned from previous digital health revolutions, highlight new challenges in the advent of AI and cultivate ideas and collaborations that will drive the ecosystem towards scalable impact.

This app is a companion to the DASH in Africa Summit, which will be held March 10-11, 2020 in Kigali, Rwanda. Download the app to track your conference agenda and network with colleagues in the health data science/AI fields.

The Summit agenda features thought-provoking panel discussions and flash talks from African experts; case study discussions on emergent AI technologies in Africa and skill-building workshops. Beyond these conversations, we encourage the exploration and pursuit of new ideas crowdsourced from participants. Poster sessions and a networking reception will catalyze connections, and booths featuring regional universities with programs in health data science/AI will inform opportunities for future learning.

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