THEME: End-to-End Data Science
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. 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 sector and the private sector in Africa to engage in activities geared towards harnessing big data and real-time analytics for the public good.
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- End-to-end Data Science |
|
|
10:15-10:25 |
Breaking Cultural Stigma using A.I. |
|
|
10:25-10:35 |
Astronomy in Africa |
|
|
10:35-10:45 |
Predictive Model for Survival of Paediatric Sickle Cell Anemia Patients using Data Mining Technique |
|
|
10:45-10:55 |
Use of machine learning techniques for alternative energy sources |
|
|
11:00-11:30 |
Teak Break |
|
|
11:30-12:15 |
Keynote 2 - Digital Data and Health |
|
|
12:15-13:15 |
AI and Psychometrics |
|
|
13:15-13:30 |
Learnings from the Computer Vision for Global Challenges (CV4GC) initiative |
|
|
13:30-14:30 |
Lunch |
|
|
14:30-15:15 |
Keynote 3 - Innovation to Deployment: Machine Learning System Design |
|
|
15:15-15:25 |
Cocoanet - Cocoa Disease Detection |
|
|
15:25-15:35 |
UriSAF, Machine Learning-driven diagnosis of Uterine Tract Infections |
|
|
15:35-15:45 |
Medical Big Data Analytics - An Artificial Intelligence Approach |
|
|
15:45-15:55 |
Natural Language data collection |
|
|
16:00-16:30 |
Break |
|
|
16:30-17:15 |
Keynote 4 - IoT Deployments for Ecosystem Monitoring |
|
|
17:15-18:00 |
DisARM Project |
|
|
18:00-19:00 |
Dinner |
Workshop Day 2
Time |
Presentation |
|
|
08:00-09:00 |
Arrival and Registration |
|
|
09:00-09:45 |
Keynote 5 - Counting Buildings in Satellite Imagery |
|
|
09:45-10:00 |
Mapping Croplands in Uganda with Computer Vision |
|
|
10:00-10:30 |
Social media in Africa - Situation Analysis |
|
|
10:30-11:00 |
Eliciting Machine Learning Metrics |
|
|
11:00-11:30 |
Break |
|
|
11:30-12:15 |
Keynote 6 - Growth Data Science |
|
|
12:15-12:45 |
Global Challenges in Mechanism Design |
|
|
12:45-13:00 |
Bi-directional Matching and Hierarchical Attention-based Subjective Question Marking using Deep Learning |
|
|
12:45-14:00 |
Lunch |
|
|
14:00-14:45 |
Keynote 7 - Global Pulse Labs |
|
|
14:45-15:45 |
Panel Session: AI Ethics |
|
|
15:45-16:00 |
minoHealth AI Labs |
|
|
16:00-16:30 |
Break |
|
|
16:30-17:15 |
Keynote 8: Communicating Data Science Research to Policy Makers |
|
|
17:15-18:00 |
Closing Remarks |