Call for Registration
The workshop will be organized around paper presentations and interactive panel discussions. We invite participants interested in presenting work at the workshop to submit a short abstract describing the application of data science methods to problems relevant to Africa. Please use the "Submit Abstract" button below. You will be notified whether your work will be presented orally or as a poster. These may include, for example, the following areas:
- Data Science for the Sustainable Development Goals
- Healthcare
- Agriculture
- Wildlife conservation
- Disaster response
- Geospatial modelling
- Telecommunications data modelling
- Economic monitoring
During the panel discussions, we will unite a wide range of stakeholders, including data scientists, representatives from government, development practitioners and the private sector; this will provide a unique setting in which innovative solution driven ideas can thrive.
Participants will also develop a framework for attracting young African talent, mentors, and researchers from academia, the public secto,r and the private sector in Africa to engage in activities geared towards harnessing big data and real-time analytics for the public good.
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Workshop programme outline:
Workshop Day 1
Time |
Presentation |
|
08:00-09:00 |
Arrival and Registration |
|
09:00-09:10 |
Welcome remarks |
|
09:10-09:30 |
Opening remarks |
|
09:30-10:15 |
Keynote 1 - Transparency in AI |
|
10:15-11:00 |
Keynote 2 - Machine Learning Systems Design |
|
11:00-11:30 |
Break |
|
11:30-12:15 |
Keynote 3 - Privacy, security & efficiency in the digital living room |
|
12:15-12:35 |
Talk 1- When Medicine Meets Machine Learning: Diagnosing Infection with Data Science |
|
12:35-13:00 |
Talk 2- ZINDI, Data Science Competition Platform in Africa |
|
13:00-14:00 |
Lunch |
|
14:00-14:45 |
Keynote 4: Building Stronger Data Ecosystems |
|
14:45-15:30 |
Keynote 5- Data Science for Sustainable Development Goals |
|
15:30-16:00 |
Break |
|
16:00-16:15 |
Talk 3: Africa R |
|
16:15-16:30 |
Talk 4: Analysis of Type-1 diabetes by Machine Learning Techniques |
|
16:30-17:30 |
Panel - Ethics in AI |
|
17:30-18:00 |
Day 1 Wrap Up |
Workshop Day 2
Time |
Presentation |
|
08:00-09:00 |
Arrival and Registration |
|
09:00-09:30 |
Talk 5- Bioinformatics: Its role for agricultural research and food security in Africa |
|
09:30-10:15 |
Keynote 6: Automated Driving Ecosystem: Opportunities Today |
|
10:15-11:00 |
Talk 6: Deep Learning on Graph and Relational Data |
|
11:00-11:30 |
Break |
|
11:30-12:00 |
Keynote 7- Data Science to Improve Population Health |
|
12:00-12:30 |
Talk 7: Computer Vision and Deep Learning |
|
12:30-13:00 |
Talk 8: Mechanism Design for Social Good |
|
13:00-14:00 |
Lunch |
|
14:00-14:20 |
Talk 9: Pure data for NLP |
|
14:20-15:30 |
Spotlight Talks: |
|
15:30-16:00 |
Break |
|
16:00-16:30 |
Keynote 8- Satellite Analysis for Building Detection in Africa |
|
16:30-17:00 |
Panel 2- Lessons from DSA 2019 |
|
17:00-17:15 |
Closing |