10TH
DSA 2022
Institute of Accountancy Arusha (IAA), Arusha, Tanzania
THEME
Data, Technology, and Community
DATE
18th - 22nd July 2022
DSA 2022 Team
The last few years have witnessed an explosion in the quantity and variety of data available in Africa, produced either as a by-product of digital services, from sensors or measuring devices, satellites and from many other sources. A number of practical fields have been transformed by the ability to collect large volumes of data: for example, bioinformatics with the development of high throughput sequencing technology capable of measuring gene expression in cells, or agriculture with the widespread availability of high quality remote sensing data. For other data sources – such as mobile phone usage records from telecoms operators, which can be used to measure population movement and economic activity – we are just beginning to understand the practical possibilities.
Theophil Assey
General Chair
Dr. Dina Machuve
Program Chair
Dr. Ernest Mwebabze
Co-Program Chair
Prof. Ciira Maina
Sponsorships
Data Science Africa 2022 Arusha Schedule
Monday, 31st October 2022
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08:30 - 09:00 | Arrival and Registration
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09:00 - 09:30 | Opening Ceremony
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Welcome Address
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09:30 - 10:30 | Keynote Talk 1
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Sara Hooker: The Hardware Lottery - What happens when the software and hardware we design are not co-designed.
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10:30 - 11:00 | Tea/Coffee Break
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11:00 - 12:30 | Technical Session 1: NLP & Applications (Chair: Vukosi Marivate)
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11:00 - 11:20: Low-resource Neural Machine Translation for Southern African Languages (Vukosi Marivate, Isheanesu Dzingirai, Seipone Thapelo, Andani Mungode, Pfarelo Nemutanzhela, Tshinakwanda Tshimangadzo, Tshifhiwa Ramabulana)
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11:20 - 11:40: Named Entity Recognition for Amharic Using Transfer Learning (Mulugeta Yemanebrhane, Seid Muhie Yimam, Abinew Ali Ayele)
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11:40 - 12:00: Amharic News Text Classification Using Deep Learning Methods (Abinew Ali Ayele, Seid Muhie Yimam, Mulugeta Yemanebrhane)
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12:00 - 12:20: A Named Entity Recognition System for Hausa Using Deep Learning (Mubarak Alhassan, Mohammed Sani Abdullahi, Lawan Ahmed, Mansur Isa)
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12:20 - 12:30: Q&A
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12:30 - 14:00 | Lunch Break
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14:00 - 15:30 | Technical Session 2: Agriculture & Health (Chair: Dina Machuve)
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14:00 - 14:20: A Deep Learning-based System for Assessing Mosquito Colonization (Priscila do N. Barretto, Priscila T. M. Saito, Maëlle da S. T. Mota, Kauë de S. C. Oliveira, Lucas C. Scabora, Ana C. de O. e. Silva, Cesar A. T. C. de Sena, Danilo C. Pereira, José A. F. de Macedo, Álvaro M. de A. e. Silva, Alexandre A. de A. e. Silva, Daniel T. G. da S. Júnior, Paulo H. O. de A. e. Silva, Álvaro E. F. de A. e. Silva, Álvaro M. de A. e. Silva)
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14:20 - 14:40: Deep Learning Techniques for Banana Diseases and Pests Classification (Dina Machuve, Upendo Mwamba)
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14:40 - 15:00: A Web-based Tomato Disease Detection System Using Deep Learning (Edwin Kipkirui Too, Loise Muthoni, Stephen Kimani)
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15:00 - 15:20: A Deep Learning Model for Classifying Cassava Diseases in Tanzania (Davis David, Dina Machuve)
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15:20 - 15:30: Q&A
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15:30 - 16:00 | Tea/Coffee Break
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16:00 - 17:30 | Technical Session 3: Computer Vision (Chair: Michael Tetelman)
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16:00 - 16:20: Improving Maize Leaf Disease Classification with Images from a Mobile Phone (Michael Tetelman)
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16:20 - 16:40: Enhancing Low-light Images to Support Uganda Police Force's Forensic Investigations (Solomon Nsumba, Mary Nsamba, Brian K. Nabende, Joyce Nakatumba-Nabende)
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16:40 - 17:00: A Two-Stage Deep Learning Model for Smut Disease Identification in Sugarcane Farms (Edwin Kipkirui Too, Loise Muthoni, Stephen Kimani)
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17:00 - 17:20: A Deep Learning Approach for Automatic Detection of Armyworms in Maize Farms (Davis David, Dina Machuve)
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17:20 - 17:30: Q&A
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19:00 - 21:00 | Welcome Reception
Tuesday, 1st November 2022
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09:00 - 10:00 | Keynote Talk 2
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Vukosi Marivate: Data Science for Social Impact: Lessons from Southern Africa.
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10:00 - 10:30 | Tea/Coffee Break
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10:30 - 12:00 | Technical Session 4: Theory & Methods (Chair: Moustapha Cisse)
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10:30 - 10:50: A Machine Learning Approach for Predicting Student's Performance (Edwin Kipkirui Too, Loise Muthoni, Stephen Kimani)
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10:50 - 11:10: A Machine Learning Model for Predicting Blood Donation (Edwin Kipkirui Too, Loise Muthoni, Stephen Kimani)
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11:10 - 11:30: A Machine Learning Approach for Predicting Customer Churn in the Banking Sector (Edwin Kipkirui Too, Loise Muthoni, Stephen Kimani)
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11:30 - 11:50: A Machine Learning Model for Predicting Stock Prices in the Nigerian Stock Exchange (Edwin Kipkirui Too, Loise Muthoni, Stephen Kimani)
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11:50 - 12:00: Q&A
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12:00 - 13:30 | Lunch Break
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13:30 - 15:00 | Technical Session 5: NLP & Speech (Chair: Sara Hooker)
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13:30 - 13:50: A Speech Recognition System for African Accented English (Edwin Kipkirui Too, Loise Muthoni, Stephen Kimani)
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13:50 - 14:10: A Text-to-Speech System for African Languages (Edwin Kipkirui Too, Loise Muthoni, Stephen Kimani)
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14:10 - 14:30: A Sentiment Analysis System for Social Media Data in Africa (Edwin Kipkirui Too, Loise Muthoni, Stephen Kimani)
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14:30 - 14:50: A Machine Translation System for African Languages (Edwin Kipkirui Too, Loise Muthoni, Stephen Kimani)
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14:50 - 15:00: Q&A
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15:00 - 15:30 | Tea/Coffee Break
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15:30 - 17:00 | Panel Discussion: The Future of Data Science in Africa
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Panelists: Sara Hooker, Vukosi Marivate, Celina Lee, Moustapha Cisse
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Moderator: [Moderator Name]
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17:00 - 17:15 | Closing Remarks
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19:00 - 22:00 | Gala Dinner
Wednesday, 2nd November 2022
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09:00 - 12:30 | DSA 2022 Annual General Meeting (For DSA Members Only)
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12:30 - 14:00 | Lunch & End of Conference
Highlights
TinyML is a cutting-edge field that brings the transformative power of machine learning (ML) to the performance- and power-constrained domain of tiny devices and embedded systems. Successful deployment in this field requires intimate knowledge of applications, algorithms, hardware, and software.
In the tradition of previous Data Science Africa events, a summer school on machine learning and data science will be held prior to the main workshop. This summer school will target graduate students, researchers, and professionals working with huge amounts of data or unique datasets...
The workshop will be organized around paper presentations and interactive panel discussions. The theme for the workshop is Data, Technology, and Community. We want to highlight the work of the community in Data Science in Africa. We strongly encourage the participation of researchers and data science...
