IndabaX Nigeria 2026
May 11-14, 2026
University of Ibadan, Nigeria
Hybrid (In-person & Virtual)
While recent strides in Generative AI have captured global attention, the deployment of these systems in African contexts faces unique challenges: compute limitations, data scarcity, and energy constraints.
IndabaX Nigeria 2026 moves the conversation from "bigger is better" to "efficient is essential." We invite researchers, practitioners, and students to submit work that demonstrates how AI systems can be designed to be FAIR (Findable, Accessible, Interoperable, Reusable), culturally grounded, and computationally efficient.
Authors must select the appropriate subject area/track for their submission:
All submissions will undergo a rigorous double-blind peer review process.
Submissions must be formatted using the PMLR / JMLR Standard Format (1-column).
This is a Diamond Open Access venue. There are NO publication fees for authors, and all published papers are freely accessible to readers.
Note: The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses including costs for Azure cloud services as well as for software development and support.
Upload your LaTeX PDF via Microsoft CMT:
Submit Paper via CMT →Accepted full papers will be published in Volume 319 of the Proceedings of Machine Learning Research (PMLR).
By submitting a paper, authors agree that at least one author will register for the conference and present the work. Papers not presented at the conference will be removed from the final proceedings.
February 1, 2026
March 15, 2026
April 20, 2026
April 30, 2026
May 11, 2026
For inquiries regarding the CFP or specific tracks, please contact the organizing committee:
Email: indabaxnigeria@gmail.com
Website: https://indabaxng.github.io
Submission portal is now open until March 15, 2026
Proceedings editorial team
The editors for IndabaX Nigeria 2026.
Olabisi Onabanjo University
Nigeria
Redeemer’s University
Nigeria
Thomas Adewumi University
Nigeria
Peer review
Overseeing the double-blind review of submissions to IndabaX Nigeria 2026, published in Proceedings of Machine Learning Research (PMLR), Volume 319.
Obafemi Awolowo University
Ile-Ife, Nigeria
Lead City University
Ibadan, Nigeria
University of Pretoria
South Africa
Bangladesh University of Business & Technology
Bangladesh
University of Ilorin
Nigeria
Olabisi Onabanjo University
Nigeria
Maharaja Sriram Chandra Bhanja Deo University
India
Namibia University of Science and Technology
Namibia
Abiola Ajimobi Technical University
Ibadan, Nigeria
Lead City University
Ibadan, Nigeria