Event Schedule

Join us for five days of AI exploration at IndabaX Uganda 2024. See event schedule below or download program

  • Time
    Welcome
    Topics
  • 09:00 – 10:30
    Welcome Remarks and Virtual Tutorial
    Python Fundamentals for Data Science ~ Rose Bunmi Akinremi
  • 10:30 – 11:15
    Coffee Break
    Coffee Break
  • 11:20 – 12:00
    Virtual Class
    Introduction to Machine Learning: Basics, types of machine learning (supervised,
    unsupervised, reinforcement learning), and key concepts.~ Isaac Mukonyezi
  • 12:00 – 12:45
    Virtual Tutorial
    Anomaly Detection Using Isolation Forest ~ Claire Babirye
  • 12:45 – 14:00
    Virtual Lunch Break & Networking (Optional)
    Lunch
  • 14:00 – 14:45
    Virtual Tutorial
    Reinforcement Learning: Basics, Q-learning, policy gradients, and applications.
    ~ Geraud Nangue Tasse
  • 14:45 – 15:30
    Virtual Tutorial
    Computer Vision: Image preprocessing, convolutional neural networks,
    object detection, and image generation. ~ Jeremy Tusubira
  • 15:30 – 16:00
    Coffee Break
    Coffee Break
  • 16:00 – 16:45
    Virtual Expert Roundtable And closing remarks
    Practical applications of AI
  • 17:30 – 19:00
    CLOSE DAY 1
  • Time
    Activity
    Topics
  • 09:00 – 09:45
    Virtual Tutorial
    Machine Learning Frameworks: TensorFlow, PyTorch, sci-kit-learn, and Keras OR Big Data and ML:
    Handling large datasets with tools like Apache Spark, Hadoop, and distributed machine learning.
    ~ Phillip Ssempeebwa
  • 09:45 – 10:30
    Virtual Interactive Session
    Building End-to-End ML Pipelines: From data collection to model deployment. ~ Nsubuga Hassan
  • 10:30 – 11:15
    Coffee Break
    Coffee Break
  • 11:15 – 12:45
    Virtual Session
    AI Conversations: The Synergy of NLP and Speech Processing ~ Jonathan Mukiibi
  • 12:45 – 14:00
    Lunch Break
    Lunh Break
  • 14:00 – 14:45
    Virtual Workshop
    Deep Learning model for Retinopathy of prematurity stage 3 disease diagnosis.~ Elizabeth B Mutua
  • 14:45 – 15:30
    Virtual session
    Model Interpretability and Explainability: Techniques and tools to understand and explain model
    predictions.~ Chinasa T. Okolo
  • 15:30 – 16:00
    Coffee Break
    Coffee Break
  • 16:00 – 16:30
    Virtual Closing Remarks
    Virtual Wrap-Up and Open Floor for Participant Feedback
  • 16:30 – 17:00
    CLOSE DAY 2
  • Time
    Activity
  • 9:00 AM - 11:00 PM
    Morning Session: Sunbird AI Showcase
    - Introduction to Sunbird AI products (Translate, Speech, API)
    - Live demonstrations and interactive sessions
    - "Break the system" challenge: Participants test the limits of Sunbird AI
    - User satisfaction assessment and feedback gathering
  • 12:00 PM - 2:00 PM
    BREAK
  • 2:00 PM - 3:00 PM
    Afternoon Session: Gender and AI Panel
    - "The Role of Inclusivity in Language Model Creation: Highlighting the importance of representing diverse voices and perspectives in building language models"
Time Ecology and AI Astrophysics and AI
9:00 - 09:45 Opportunities for Machine Learning and AI in animal behaviour, conservation, and management ~ (Andrew King, University of Swansea, UK) -Astronomy: The Past, Present, and Future & How AI Can Help ~ (Abigail Frost)
09:45 - 10:30 Pixels to Preservation: Leveraging AI for Low-Cost Camera Trap Technology.
~ (Lorna Kawira Mugambi, Dedan Kimathi University of Technology, Kenya) 		Machine Learning Classifications for Astronomical Radio Surveys. ~ (Kushatha Ntwaetsile)
10:30 -11:00
Coffee Break
11:00 -11:45 Impact of background on the classification of Camera Trap Images.
~ (Yuri Njathi, Dedan Kimathi University of Technology, Kenya) 		Mapping Billions of Stars with GAIA and Other Space Telescopes. ~ (Miguel Vioque)
11:45 - 12:30 Probing the limits of human understanding on the behavior of Caenorhabditis elegans.
~ (Alfonso Perez-Escudero, Paul Sabatier University Toulouse, France) 		Big Data Challenges in Millimetre Interferometry ~ (James Miley)
12:30 - 14:00
Lunch
14:00 - 14:45 Wildlife Ecology in Africa: are ML and AI Maslow’s Hammer?
~ (Mark Keith, University of Pretoria, South Africa) 		- The Development in Africa with Radio Astronomy (DARA) Project: Overview and Experiences ~ (Kushatha Ntwaetsile & Boitumelo Gaolape)
14:45 - 15:45 AI in Agriculture.
~ (Neema Mduma, Nelson Mandela African Institution of Science and Technology, Tanzania)		 Hands On Workshop with Astronomical Data 1 ~ (Miguel Vioque)
15:45 - 16:15
Coffee Break
16:15 - 17:15 Open Q&A Session/Mentorship Session
Hands On Workshop with Astronomical Data 2 ~ (James Miley)
17:15- onwards Departure
  • Time
    Welcome
    Topics
  • 8:00am – 8:30am
    Arrival and Registration
    ~ All
  • 8:30 am – 8:45 am
    Opening Remarks
    Welcome note and Opening Remarks: Organising Committee
  • 8:45 am – 9:25 am
    Keynote speaker
    The Cutting Edge of AI: What’s New and What’s Next.
    ~Dr. Ernest Mwebaze - Executive Director, Sunbird AI
  • 9:25 am - 10:00 am
    Invited Talk
    Artificial Intelligence in Ecology.
    ~ Richard Mann - Associate Professor, Leeds University
  • 10:00 am - 10:30 am
    GROUP PHOTO
    TEA BREAK/ EXIHIBITIONS
  • 10:30 am - 11:20 am
    Spotlight talks
    Group 1
    ~Vincent Mabirizi
    ~Kaweesi Patrick
    ~Namutebi Esther
    ~Simon Peter Makobi
    ~Ntanda Nasser
  • 11:20 am - 12:00 pm
    Invited talk
    An overview of the Data Protection and Privacy Act in Uganda.
    Mr Birikujja Baker, Manager Compliance and Investigations
    - Personal Data Protection Office
  • 12:00 pm - 1:00pm
    Pannel session 1
    The role of AI in Education, Agriculture, Financial services, Ecology, Education
    ~ Dr. Godliver Owomugisha, Head Busitema AI and Interdisciplinary
    Research Group, Busitema University

    ~ Ass Prof Richard Mann, Assoc Professor, Leads University

    ~Mr. Mukiibi Jonathan, Manager Insights and Analytics, MTN Uganda

    ~Ass Prof Businge Phelix Mbabazi, Dean Faculty of Computing, Library
    and Information Science at Kabale University.

    ~Moderator: Claire Babirye
  • 1:00 pm – 2:00 pm
    LUNCH
    LUNCH & PROJECT EXIHIBITIONS
  • 2:00 pm - 2:40 pm
    Invited talk
    Responsible AI
    ~Pascal Byabasaija, CTO Backlink Africa
  • 2:40 pm - 3:10 pm
    Spotlight talks
    Group 2
    ~Kasozi Paul Kategaya
    ~Emoru Jennifer
    ~Taremwa Danison
    ~Ssempeebwa Paul
  • 3:10 pm - 4:20 pm
    Pannel session 2
    AI and Healthcare: Ethical Implications and Innovations check
    ~ Dr. Rose Nakasi, Head Makerere AI Health Lab
    ~ Collins Gyezaho , Software Engineer, Uganda Cancer Institute
    ~ Solomon Nsumba, Software Engineer, Sunbird AI.
    ~ Monica Mugisha, Senior Manager Digital Health - Living Goods
    ~ Moderator: Pius Muggaga
  • 4:20 pm - 4: 30 pm
    DL IndabaX Uganda clubs
    The Journey
  • 4:30 pm- 8:30 pm
    Data Science Africa Uganda (DSAU) Meet-up
    Highlights
    - Welcome and Introductions: Brief overview of
    Data Science Africa Uganda (DSAU) and its mission~ Dr. Martin Mubangizi

    - Introducing Sunbird AI to DSAU community~ Dr. Ernest Mwebaze

    - "Importance of Data in Relation to Uganda's Just Concluded Population Census".
    Discussion on Uganda's Population Census~ UBOS representative

    - Building the DSAU Ecosystem-Open floor for questions and discussions from
    attendees.

    - Networking and Closing Remarks: Opportunity for attendees to connect
    and exchange ideas.
  • 8:30pm - onwards
    DEPARTURE