The workshop was organized around interactive panel discussions. Each panel explored how data science could advance the achievement of specific Global Goals on the African continent.
This part of the event brought together a wide range of stakeholders—uniting data scientists with representatives from government, development practitioners, and the private sector—in a unique setting where innovative, solution-driven ideas could thrive.
Participants also developed a framework for attracting young African talent, mentors, and researchers from academia, the public sector, and the private sector across Africa to engage in activities aimed at harnessing big data and real-time analytics for the public good.
Workshop programme outline:
Workshop Day 1
Time |
Presentation |
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08:30- |
Arrival and Registration |
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09:00- |
Opening Remarks |
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09:00- |
Session 1: Agriculture |
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09:20- |
Optimizing Small-scale Farm Management in Kenya using a Frugal Plant-Based Approach for Irrigation Scheduling |
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09:50- |
Automated Monitoring of Viral Cassava Disease |
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10:20-10:50 |
Coffee break |
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- |
Session 2: Crisis Management |
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10:50- |
Construction Of A Resiliency Platform for Preventing Future Crises In Sierra Leone |
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11:20- |
Umati: Monitoring Dangerous Speech Online |
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11:50- |
The Punya Mobile Application Development Platform |
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12:20- |
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- |
Session 3: Health, Bioinformatics and Privacy |
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13:30- |
Personalised Medicine |
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14:00- |
Improved Modelling of Malaria Incidence with Telecoms Data |
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14:30- |
Differential Privacy |
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15:00-15:30 |
Coffee Break |
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15:30 |
Comparative Genomics of Tsetse's Chemosensory Proteins |
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16:00- |
Concordance of Morphometrics and DNA barcoding in identifying Stingless bee species (Apidae: Meliponinae) in Kenya |
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16:30- |
Investigating Traditional Systems of Medicine Using Phylogenies Derived from Gene Sequences |
Workshop Day 2
Time |
Presentation | |
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Session 4: Data Sources and Privacy | ||
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09:00 |
Free Datasets For All | |
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09:30 |
Humanitarian Data Exchange Project | |
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10:00 |
New Sources of Information for Planning and Disaster Response | |
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10:30-11:00 |
Coffee break | |
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Session 5: Water | ||
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11:00 |
Using Frugal Smart Meters to Increase Water Security in Kenya | |
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11:30 |
Understanding Nairobi's Water Supply Landscape: The Data Driven Approach | |
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12:00 |
Pivoting Entity-Attribute-Value data Using MapReduce for Bulk Extraction | |
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12:30-13:30 |
Lunch | |
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Session 6: Markets and Economy | ||
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13:30 |
Auction Systems for Real-Time Agricultural Market Analysis | |
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14:00 |
Time Series Analysis of Financial Market Data [To be Confirmed] | |
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14:30 |
Wrap-up and discussion – next steps for data science in Africa? |