Africa Machine learning and Health Workshop

@ Deep Learning Indaba, Tunis, Tunisia | 25-26 August 2022

Join us in celebrating machine learning (ML) research for health from researchers in Africa and connect with researchers working on problems related to health in Africa.

We provide a space for open dialogue about the state and potential of ML in Digital Health across Biomedical Informatics / Health Informatics, Bioinformatics and Mobile Health. Helping to identify issues for Africa in the Digital Health space that impact using machine learning as well as spotlighting success stories that provide important insights.


The SisonkeBiotik community aims to be an incubator for developing capacities for machine learning and digital health in Africa through open and participatory community action.

Day 1 of the workshop will be a hybrid event, with in-person participants from the Deep Learning Indaba and online participation being freely open. Day 2 of the workshop will just be for online participants.

Help us crowdfund 🫶
Please consider donating toward the workshop
[https://bit.ly/SisonkeBiotik-AML-Health-2022-Donate]

Schedule

DAY 1 - 25 August 2022 (online and in-person) 14.00 - 18.30 (UTC +1h)

Online Conference link:

https://us02web.zoom.us/j/81650190966?pwd=dGJzRGJ1aUtqRG16aTB2Q2xaR1RxZz09


ℹ️ Workshop day 1 intro (20min)

🗝️ Community keynote (40min) - Bonaventure Dossou, Chris Emezue, Houcemeddine Turki, and Abraham Owodunni

⚡ Lightning talks (60min)

🏖️ Break (30min)

👥 Semi-unconference (70min)

🗝️ Invited keynote (50min) - Tinashe Mutsvangwa

🥳 Workshop social (n/a) - after hours


DAY 2 - 26 August 2022 (only online) 14.00 - 17.30 (UTC +1h)

Online Conference link:

https://us02web.zoom.us/j/81650190966?pwd=dGJzRGJ1aUtqRG16aTB2Q2xaR1RxZz09


ℹ️ Workshop day 2 intro (10min)

🗝️ Online keynote - Darlington Akogo (45min)

🛠️ Tutorial 1 - Building with DeepChain - Oliver Bent (60min)

🏖️ Break (30min)

🛠️ Tutorial 2 - PySyft (Privacy Preserving AI) for Healthcare - Archana (Archie) Arakkal (45min)

Lightning talks

Participants of the Deep Learning Indaba will have the opportunity to present a 15min lightening talk related to work carried out in machine learning and health for Africa.

Submit an application to present as part of registering for the workshop.

Semi-unconference

An unconference is a participant-driven meeting where topics for discussion are chosen by participants.

For semi-unconference, topics for discussion are chosen ahead of the event to provide more time for discussion.

Suggest topics to discuss as part of registering for the workshop

Keynotes

Tutorials

PySyft (Privacy Preserving AI) for Healthcare

Organizing team

Sponsors

Partners

Wikimedia Foundation

Data Engineering and Semantics Research Unit