The workshop was organized around paper presentations and interactive panel discussions. Participants interested in presenting their work at the workshop were invited to submit a short abstract describing the application of data science methods to problems relevant to Africa. Submissions were made through the “Submit Abstract” button provided below. Participants were later notified whether their work would be presented orally or as a poster.
The workshop featured a broad range of topics, including:
- Data Science for the Sustainable Development Goals
- Healthcare
- Agriculture
- Wildlife Conservation
- Disaster Response
- Geospatial Modelling
- Telecommunications Data Modelling
- Economic Monitoring
During the panel discussions, the workshop brought together a wide range of stakeholders, including data scientists, representatives from government, development practitioners, and members of the private sector. This created a unique platform where innovative, solution-driven ideas flourished.
Participants also developed a framework for attracting young African talent, mentors, and researchers from academia, the public sector, and private industry to engage in activities geared toward harnessing big data and real-time analytics for the public good.
Those who indicated interest in being contacted about future Google events and opportunities had their information collected through the registration form, which was used in consideration for potential job opportunities at Google. Such information was handled in accordance with the Applicant & Candidate Privacy Policy
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 |