AfriClimate AI Workshop @ Deep Leaning Indaba 2024 

Theme: Uniting for a Climate-Resilient Africa: Fostering Climate Data and Knowledge Exchange

Date:  1-7 September 2024

Location: Amadou Mahtar Mbow university (UAM), Dakar, Senegal. 

Workshop Overview

Across Africa, the detrimental effects of climate change are being acutely felt. However, the continent's ability to respond is hampered by a critical lack of accurate, accessible climate data. This workshop aims to bridge this gap by fostering collaboration between climate scientists, data practitioners, and machine learning experts. By working together, we can build a comprehensive climate data repository that empowers African researchers and policymakers with the tools they need to address the continent's unique climate challenges.

The absence of reliable climate data hinders effective decision-making. Farmers struggle to adapt to changing weather patterns, while infrastructure projects are more susceptible to climate-related risks.  This workshop will explore strategies to improve data collection methodologies and infrastructure across Africa. By leveraging advancements in sensor technology, data transmission networks, and data storage solutions, we can ensure that the data needed to model and predict climate patterns is available, accessible, and accurate.

Workshop Objectives

Call for Lightning talks.

We invite submissions for lightning talks that showcase excellent research in Climate Science and AI from the African community. These talks should highlight innovative research, methodologies, datasets and practical applications that contribute to understanding and mitigating climate challenges in Africa.

Topic Areas: Research topics should relate to Climate Science and AI, focusing on innovative solutions, case studies, datasets and data collection methodologies, predictive models, or tools that address climate resilience in Africa.

Format: Lightning talks are brief, high-impact presentations, each lasting approximately 5 minutes. Presenters should focus on key insights and outcomes of their research.

Submission Requirements:

Evaluation and Awards:

Submissions will be evaluated based on originality, relevance, and potential impact. The top three lightning talks will receive awards, including mentorship and support from established researchers within the AfriClimate AI community to develop their work into full proceedings or journal papers.

Submission Link:

Important Dates:

Submission Deadline: 31 July, 2024

Notification of Acceptance: 15 August, 2024

Workshop: 1 - 7 of September 2024 (Exact date awaiting Indaba Schedule)


Mouhamadou Bamba Sylla

Mouhamadou Bamba Sylla is currently serving as the AIMS Network Research Chair in Climate Change Science at the African Institute of Mathematical Sciences in Rwanda. He previously held senior positions at WASCAL, where he focused on climate modelling and change. Dr Sylla has extensive experience, having completed a postdoc at the International Centre for Theoretical Physics and serving as a research scholar and part-time lecturer at Loyola Marymount University. His research interests encompass climate modelling, climate change impacts, and extreme weather events. Dr. Sylla is a prolific researcher with over 50 peer-reviewed publications and has contributed to numerous trainings and conferences globally. He also serves as a lead author for the Intergovernmental Panel on Climate Change (IPCC).

Jason Hickey 

Jason Hickey is a computer scientist with 40 years of experience in artificial intelligence, weather and climate modelling, programming languages, and more. He leads the Google Research office in Accra, Ghana, where his team applies AI to address critical issues impacting Africa. Under his leadership, the office focuses on areas such as food security, weather prediction, and the development of technology for African languages. Jason’s extensive expertise and commitment to innovation drive the development of solutions tailored to the unique challenges and opportunities across the continent.

Ibrahim Salihu Yusuf

Ibrahim is an AI Research Engineer at InstaDeep, driven by a passion for harnessing the power of artificial intelligence for the greater good. His expertise spans geospatial machine learning, computer vision, and computational biology. Ibrahim's diverse portfolio showcases impactful projects that range from enhancing food security and disaster response to advancing immunology research and development.

Sabrina Amrouche

Sabrina Amrouche is the Head of Data Science at ZYTLYN Technologies. She holds a PhD from the University of Geneva, where her research focused on the design, implementation, and deployment of end-to-end deep learning models for particle trajectory tracking. She has adapted various algorithms, including Similarity Search techniques and Siamese Networks, to develop a novel clustering technique. Sabrina is passionate about applying AI in climate science and is a core team member of AfriClimate AI.


Tentive Agenda


Ibrahim Salihu Yusuf


Rendani Mbuvha

Queen Mary University of London and University of Witwatersrand

John Bagiliko

University of Rwanda, African Institute for Mathematical Sciences

Sabrina Amrouche


Amal Nammouchi

Karlstad University

Brian Halubanza

Mulungushi University

Santiago Hincapie Potes

Google Research

Yassine Yaakoubi

McGill University

Bunmi Akinremi

 Obafemi Awolowo University