Context: Natural resources in Africa are being depleted at an alarming rate due to several factors, including unsustainable human activities, climate change, and population growth. A primary condition of sustainable development is to ensure that the pressures do not exceed the environmental limits, and that demand for the resources does not exceed levels that can be sustainably provided by nature. Therefore, there is a pressing need for transformative, systems-thinking approaches and tools that can tackle the diverse challenges facing these systems. In Africa, this need is compounded by a lack of data and monitoring, which significantly hinders sustainable decision-making.
Investing in young scientists who are committed to take lead in sustainable management of Africa’s natural resources is very important. Capacity building of young scientists will enhance their knowledge and skill on sustainable natural resources and their involvement for implementation of the sustainable development goals (SDG’s) in Africa. To this effect, SNRM summer schools have been implemented in three sessions in 2019, 2020, and 2022 with support from Volkswagen Foundation; to build a critical mass of skilled and competent young natural resource scientists in Africa through training, capacity building and mentorship. Session 4 (2025) will target competent young scientists (MSc and PhD students) in Africa and Germany to further develop their knowledge and skills in systems thinking, advanced data collection and analysis, and application of emerging digital technologies such as Artificial Intelligence (AI), machine learning (ML), internet of things (IoT), and embracing transdisciplinary approaches. In addition, we include an ideation workshop where students can work on real problems to come up with solutions for sustainable transformations in natural resource use.
Organizers: Leibniz Universität – Hannover (Germany), University of Antananarivo, University of Abomey Calavi (Benin), Makerere University (Uganda), University of Ghana (Ghana), University of Parakou (Benin), The Technical University of Kenya, with financial support from the Volkswagen Foundation (Germany).
Venue and dates: Nairobi, Kenya, 16-28 November 2025
Target: MSc and PhD students, early in the program of less than 35 years of age from any university/research institution in either sub-Saharan Africa or Germany with an interest in natural resources management.
Participants and Scholarships: The course is fully funded and open to 20 MSc and PhD students from Africa, and 5 from Germany. Funding will cover the costs of air ticket, accommodation, meals, visa, and transportation. However, participants will cover the cost of their travel health insurance.
Topics
SNRM Summer School Session 4: Transformative pathways in biodiversity management and conservation. This summer school is designed to deliver four modules over a two-week period. The modules are designed to enable the students to acquire new ways of designing data collection protocols and analysis for transformative sustainable natural resources management.
Module 4.1: Data collection I Skills in data collection for a transformative and sustainable management of natural resources (water, wildlife, forest, land, livestock, crops) monitoring and data collection techniques; remote monitoring tools, earth observation system data, e.g. satellite data sources, LIDAR, and UAV aerial images. Collect and analyse In-situ data on biotic and abiotic parameters, map and analyse data using R or Google Earth Engine, field data collection and retrieving data from online databases.
Module 4.2 Data management and processing Introduction to tools and methods of managing large and diverse data sets of natural resources such as time series, spatial, directional, and multivariate data. Practicals will include data storage, organization and conversion into various formats using databases such as PostgreSQL and statistical programming software such as R and Python; scripts.
Module 4.3 Ecological monitoring, modelling and management This module aims to teach participants how to anticipate and validate trends that can be observed in various ecosystems. Lectures include ecological monitoring and its design; population monitoring studies; metrics in population monitoring; methods for monitoring and assessing marine ecosystems; human ecology to socio-ecological systems; climate change impact of ecosystems; suitability assessments; overview of the principles underlying wildlife monitoring and prediction systems for climate change adaptation. Practicals will include field data collection (individual and group); ecological data analysis using R or PAST; modelling and experiencing the behaviour of complex systems using Vensim.
Module 4.4 Natural habitat restoration ideation lab This module is designed to spur students’ innovation and creativity, and to help students comprehensively identify interdependencies across the 17 SDG goals. Participants will be trained on ideation processes for solutions and intervention for transformative natural resource management. They will work collaboratively in small groups on case studies and develop pathways of transformative sustainable natural resource management. Examples of projects include forest (mangrove) ecosystem and habitat restoration, improved technologies for agricultural production, nature-based solutions for improving water quality, and reversing land degradation.
Language: The course will be delivered in English. Participants are expected to be fluent in writing and speaking the English language.
How to apply
Applicants are kindly requested to fill in the application form available from https://snrmafrica.com/ and submit the following documents in English through the system.
a curriculum vitae (maximum 2 pages)
a letter of motivation (maximum 1 page)
a confirmation of university enrolment
a reference letter from the academic supervisor
project summary of MSc/ PhD project (1 page including objectives, methodology and key findings or expected outcomes).
Important dates Application deadline: 30th June 2025. Announcement of accepted applicants: 15th August 2025. Confirmation of attendance by selected participants: 12th Sept 2025. Summer school held: 16 – 28 Nov 2025.
Further information is available from
The secretariat info@snrmafrica.com Dr Lydia Olaka lydiaolaka@tukenya.ac.ke Prof. Dr. Hartmut Stuetzel stuetzel@gem.uni-hannover.de
Under the theme, “Leveraging AI for Sustainable Transformation: Leading in Uganda’s Transformation in the Age of Disruptive AI,” the 16th Annual CEO Forum 2025 brought together government leaders, captains of industry, academia, and development partners to discuss how Artificial Intelligence (AI) can drive Uganda’s transformation agenda.
Representing the Vice Chancellor, Mr Yusuf Kiranda, University Secretary at Makerere University, reaffirmed the University’s pivotal role as a hub for AI research, innovation, and training anchored in strong partnerships across government, academia, and industry.
“Makerere University is responsible for research, innovation and training to ensure transferable knowledge that can be utilised by both the private and public sector,” Mr. Kiranda noted.
He emphasised that Uganda’s sustainable AI transformation will depend on effective policy, governance, and collaboration across sectors.
According to Mr. Kiranda, three key issues must be addressed for AI to realise its potential:
Balancing control and facilitation: Policymakers must not only regulate AI but also actively enable its use to drive innovation and competitiveness.
Sovereignty of AI: Uganda must safeguard its data and resources, especially in sectors like agriculture, where external mapping of local assets threatens national control and export competitiveness.
Regional harmonisation: To ensure fair competition, AI policies must be aligned across East Africa so Ugandan, Kenyan, and Tanzanian businesses operate under a level playing field.
“In the utilisation of AI, if a policy is making Uganda less competitive, we must revise it now to allow private sector players to thrive in this disruptive age,” he added.
Mr. Kiranda further reiterated Makerere’s commitment to producing quality, AI-ready graduates and enhancing teaching and learning methods to integrate technology. He also acknowledged the Government’s continued investment in research at Makerere, which has seen a growing number of researchers focus on AI and technological innovations.
Mr. Yusuf Kiranda participating in a panel discussion at the #CEOForumUg2025.
“I can attest to Makerere’s existing partnerships with government entities and development partners. These collaborations are making the market ready to deliver solutions through effective academia–industry partnerships,” he said.
Building Africa’s Digital Destiny
The forum opened with a powerful keynote from Dr. Robin Kibuka, Board Director at the CEO Summit Uganda, who spoke on “Building Africa’s Digital Destiny: Kampala Rising, Africa Inventing.”
Dr. Kibuka urged Africans to take ownership of their digital future, stressing that the continent must define how AI transforms its societies.
“Artificial Intelligence can empower Africa or divide it. The choice is ours,” he said.
He highlighted success stories from across Africa, including AI-powered drones delivering medical supplies and smart credit systems supporting small businesses — proof that the continent is already innovating its own digital solutions.
Dr. Robin Kibuka addressing the CEO Summit Uganda 2026.
Leveraging AI for Sustainable Transformation
In her keynote address on “Leveraging Artificial Intelligence for Sustainable Transformation,” Dr. Preeti Aghalayam, Director of the Indian Institute of Technology Madras – Zanzibar Campus, described AI as “the defining disruptor of the 21st century.”
She emphasised that both Africa and India share a unique opportunity to collaborate in education, innovation, and human capital development to shape a more inclusive digital future.
“Artificial Intelligence must help us do better and be better,” she said, highlighting the need for responsible innovation that uplifts communities and promotes sustainability.
Dr. Preeti Aghalayam delivering her keynote address.
Digital Transformation in the Health Sector
Mr. Rashid Khalani, Chief Executive Officer of Aga Khan University Hospital, Uganda, presented on “Digital Transformation in the Health Sector,” sharing practical examples of how AI is redefining healthcare delivery.
From AI-powered radiology that detects anomalies faster, to predictive models for early sepsis detection and digital tools supporting mental health care, Mr. Khalani demonstrated how AI is improving patient outcomes and empowering medical professionals.
“AI is not replacing people. It is empowering them to deliver better care, faster,” he emphasised.
He noted that partnerships between hospitals, universities, and technology institutions are crucial in developing localised AI solutions that respond to real health needs.
Mr. Rashid Khalani discussing AI in the health sector.
Makerere at the Heart of Uganda’s AI Transformation
The discussions throughout the 16th Annual CEO Forum 2025 reaffirmed the critical importance of collaboration among academia, industry, and government in shaping Uganda’s AI-driven future.
Makerere University continues to play a leading role in this space, providing the research, innovation, and talent that power the country’s transition into a digital economy.
Through strategic partnerships, forward-looking policy engagement, and continuous innovation in research and training, Makerere stands at the forefront of preparing Uganda and the region for a smart, inclusive, and sustainable future powered by AI.
Caroline Kainomugisha is the Communications Officer, Advancement Office, Makerere University.
The applications for scholarships to the second edition of the Erasmus Mundus Joint Master on Coordinated Humanitarian Response, Health and Displacement are open. The deadline is 09.01.2026 (9 January 2026), at 17.00, CET time (19.00 EAT).
Requirements
Mandatory documentation to upload is:
Valid Passport
Photograph
Diplomas (from previous degrees completed)
Transcript of records (diploma supplement) with all courses and grades (from previous completed degrees)
English proficiency test results certificate (from one of the required tests). Code for certificate validation.
Curriculum vitae
Statement of purpose (mandatory to upload a pdf document)
2 signed and dated Recommendation Letters
All of the identified documentation is mandatory. Applications missing any of the above mentioned documents will not be considered as eligible.
Only candidates with a Bachelor degree (180 ECTS) can be admitted.
Scholars from across Africa and beyond convened at Makerere University for a workshop on “Techno-Colonialism: Decolonizing Artificial Intelligence (AI) for African Identity.” The event formed part of the ongoing African Research Universities Alliance (ARUA) Conference hosted at Makerere University, under the ARUA Centre of Excellence in Notions of Identity.
In her opening remarks, Prof. Sarah Ssali, Director of the ARUA Centre of Excellence in Notions of Identity, welcomed participants to what she described as a “thought-provoking engagement for early career researchers.” She noted that the Centre, hosted at Makerere University, now brings together over 10 universities across Africa and partner institutions in the Global North to examine evolving African identities in the face of global transformations.
“We don’t imagine a single African identity defined by class, tribe, or religion,” Prof. Ssali said. “We consider African identities as lived, negotiated, and continually reshaped by experiences such as colonialism, globalization, and technological change.”
The workshop was moderated by Dr. Kemi Kehinde, an ARUA–Carnegie Postdoctoral Fellow from Anchor University, Nigeria, who emphasized the need to critically examine the intersections between artificial intelligence, indigenous knowledge, and identity formation.
Dr. Kemi Kehinde.
Dr. Kemi invited participants to reflect on a presentation by Dr. Sameen Musa on Indigenous Knowledge Systems and AI in the Context of Decoloniality and Sustainable Futures. She highlighted the importance of ensuring that AI systems recognize and integrate oral African traditions such as storytelling, proverbs, and performance arts—areas where current technologies often fall short.
“As young African scholars, we have a responsibility to shape the training models of AI so that future systems engage authentically with African oral traditions and worldviews,” Dr. Kemi noted.
The panel featured Prof. Aghogho Akpome from the University of Zululand, Dr. Isaac Tibasiima and Marvin Galiwango, a machine learning engineer at Makerere, and Dr. Nikolai Golovko from the Centre for African Studies at the Higher School of Economics, Moscow and Dr. Chongomweru Halimu, a lecturer at the Department of Information Technology, Makerere University.
Speaking from South Africa, Prof. Aghogho Akpome delivered a strong critique of what he termed “the intellectual dependency fostered by generative AI tools.” He cautioned that over reliance on artificial intelligence for writing and research risks eroding cognitive skills and perpetuating new forms of colonial dependence.
“The use of generative AI without critical engagement amounts to intellectual theft,” he said. “It replaces creative thought with algorithmic mimicry, and that is the essence of techno-colonialism.”
A lively Q&A during the parallel session.
Dr. Isaac Tibasiima, from Makerere University’s Department of Literature, offered a balanced view, arguing that while AI poses risks of cultural misrepresentation, it also presents opportunities for Africans to reclaim their agency by shaping the data that powers these systems.
“We need to feed our own knowledge into AI systems—honest, transparent, contextually grounded African knowledge,” Dr. Tibasiima said. “That’s the path to inclusion and authentic representation.”
From Moscow, Dr. Nikolai Golovko provided a global policy perspective, noting that while 11 African countries have adopted national AI strategies, implementation remains limited by resource and data inequalities. He warned that foreign-designed algorithms often ignore local contexts, reinforcing what he called “algorithmic colonialism.”
“African governments and universities must prioritize indigenous participation in AI design,” Dr. Golovko urged. “Otherwise, we risk reproducing colonial hierarchies in digital form.”
Dr. Halimu Chongomweru discussed the theme “Techno-Colonialism and Decolonizing Artificial Intelligence (AI) for African Ideas.” He argued that today’s global digital ecosystem mirrors historical patterns of colonial exploitation—only now, instead of natural resources, Africa’s data is being extracted to fuel AI economies controlled by others.
He described this as a form of modern colonialism, not through armies or flags, but through algorithms, cloud servers, and digital platforms that define African problems and solutions without African participation. These systems enrich others while disempowering African communities.
Dr. Halimu Chongomweru.
Dr. Chongomweru emphasized that AI without culture is not intelligence but extraction. When AI models are trained on Western norms, they impose Western values globally, leading Africans to adopt technology without shifting the moral and cultural lenses behind it.
He urged a shift in focus from access to ownership, arguing that access without control only deepens dependency — another form of digital colonialism. True equalization, he said, means determining who owns, benefits from, and governs African data and AI systems.
To decolonize AI, Dr. Chongomweru proposed several actions:
Build African-owned data repositories hosted on African soil and governed by African laws.
Invest in AI research in African languages, moving from translation (copying) to representation (originating ideas).
Develop home-grown technological infrastructure, ensuring computation and innovation occur within the continent.
He concluded that Africa’s AI agenda must be rooted in cultural, linguistic, historical, and sovereign identity, drawing from African philosophical traditions to create ethical and inclusive AI systems.
Marvin Galiwango cautioned that Africa’s growing engagement with AI still relies heavily on foreign tools, funding, and servers, creating digital dependency rather than empowerment. He argued that so-called “inclusion” often leaves Africans creating within systems they don’t control. Drawing parallels with genomics, he noted that Africa provides data but lacks ownership of infrastructure and outcomes. He concluded that true technological independence requires Africans to build and govern their own digital systems.
The session closed with a lively discussion on the ethics of AI use in research, the need for inclusive data models, and the role of African universities in decolonizing digital technologies. Participants agreed that decolonizing AI is not merely a technological issue but a cultural, ethical, and identity-driven imperative for Africa’s future.