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Makerere Launches AI and Data Science Centre to Drive Africa’s Technological Development

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Kampala, March 13, 2025Makerere University has officially launched the Makerere University Centre for Artificial Intelligence and Data Science (Mak-CAD), a hub dedicated to advancing AI research and innovation for Africa’s development.

Themed “Building Responsible AI Research and Innovations for Impact,” the launch highlighted the Centre’s mission to harness AI’s transformative power to address critical issues, improve human development indices, and contribute to the UN Sustainable Development Goals (SDGs).

Mak-CAD is focused on leveraging AI for Africa’s development, with an emphasis on sectors like healthcare, agriculture, natural language processing, and climate action. The Centre is guided by Responsible AI principles, aiming to develop customized AI solutions, improve data quality, build local expertise, and integrate AI into policy. Its objectives include advancing AI research, training MSc and PhD students, and fostering collaborations with global AI labs.

Spearheaded by Dr. Joyce Nakatumba Nabende, the Centre is funded by the International Development Research Centre (IDRC) Canada and the UK’s Foreign, Commonwealth & Development Office. It collaborates with institutions such as Wellcome, APHRC, Google, and the National Institutes of Health (NIH) to drive AI innovation in Africa.

Dr. Joyce Nakatumba Nabende giving the project overview. Official launch of the Makerere University Centre for Artificial Intelligence and Data Science (Mak-CAD), a hub dedicated to advancing AI research and innovation for Africa’s development. Theme: “Building Responsible AI Research and Innovations for Impact,” 13th March 2025, College of Computing and Information Sciences (CoCIS), Block B, Kampala Uganda, East Africa.
Dr. Joyce Nakatumba Nabende giving the project overview.

Mak-CAD will operate through two research labs: the Makerere Artificial Intelligence Lab in the Department of Computer Science, College of Computing and Information Sciences and the Marconi Machine Learning Lab in the Department of Electrical and Computer Engineering in the College of Engineering, Design and Art.

The launch event, held at Block B of the College of Computing and Information Sciences, featured significant activities including a keynote address on the need for AI4D multidisciplinary efforts by Dr. Agnes Kiragga of APHR, a panel discussion on AI4D research themes  by a team of experts namely Tumuhamye Nathan (Programme Analyst and Head of Exploration, UNDP);  D.  Ernest Mwebaze (Sunbird ai), Dr. Edwin Mugume (College of Engineering, Design, Art and Technology, Makerere University).  In addition to PhD students’ presentations and poster viewings of ongoing AI projects and innovations, 10 graduate students were awarded scholarships.

As Makerere positions itself as a leader in AI research in Africa, stakeholders expressed optimism about the Centre’s potential to transform key sectors and contribute to national and continental development.

UK Commits to Supporting Uganda’s AI Ecosystem

Presiding over the launch as chief guest, HE Tiffany Kirlew, Deputy British High Commissioner to Uganda, commended the initiative, emphasizing AI’s role in addressing critical challenges.

Deputy British High Commissioner Tiffany Kirlew delivering her speech during the center launch. Official launch of the Makerere University Centre for Artificial Intelligence and Data Science (Mak-CAD), a hub dedicated to advancing AI research and innovation for Africa’s development. Theme: “Building Responsible AI Research and Innovations for Impact,” 13th March 2025, College of Computing and Information Sciences (CoCIS), Block B, Kampala Uganda, East Africa.
Deputy British High Commissioner Tiffany Kirlew delivering her speech during the center launch.

“This lab is not just about research; it’s about solutions—solutions that matter to people in health, the environment, food security, and economic growth,” she said. “AI-powered diagnostics developed here could mean faster, more accurate, and more accessible testing for diseases like malaria and tuberculosis, especially in rural areas where doctors are scarce.”

Kirlew highlighted Uganda’s opportunity to build AI solutions tailored to local needs. “Unlike some developed nations that have had to adapt to AI, Uganda has a chance to leapfrog development by creating homegrown AI solutions,” she said.

The UK, she noted, is committed to supporting Uganda’s AI ecosystem through research partnerships, digital skills training, and scholarships. Kirlew emphasized the country’s unique position to develop AI solutions powered by local talent and driven by local challenges. She expressed excitement about the UK’s role in Uganda’s AI and tech journey, mentioning the AI for Development @AI4Dev program, which invests in Africa-focused AI research.

She also highlighted the UK’s digital access program in Eastern Uganda, empowering over 100 entrepreneurs with future-ready digital skills. Reflecting on Uganda’s transformation, she expressed confidence that with the exceptional talent present, Uganda will not only keep pace with the AI revolution but also assume a leadership role.

Kirlew concluded by resonating with Makerere University’s motto, “We build for the future,” expressing eagerness to see the Mak-CAD grow and make a profound impact on Uganda’s future.

Africa Must Embrace AI to Avoid Being Left Behind – Prof. Barnabas Nawangwe

Makerere University Vice-Chancellor, Prof. Barnabas Nawangwe, emphasized the urgent need for Africa to embrace artificial intelligence (AI) to avoid being left behind in the global technological revolution.

“As far as artificial intelligence is concerned; will Africa be left behind again?” he posed. “This is the defining question for us, and Makerere University is determined to ensure that we are part of this technological revolution.”

VC Prof. Barnabas Nawangwe delivering his opening remarks. Official launch of the Makerere University Centre for Artificial Intelligence and Data Science (Mak-CAD), a hub dedicated to advancing AI research and innovation for Africa’s development. Theme: “Building Responsible AI Research and Innovations for Impact,” 13th March 2025, College of Computing and Information Sciences (CoCIS), Block B, Kampala Uganda, East Africa.
VC Prof. Barnabas Nawangwe delivering his opening remarks.

Prof. Nawangwe highlighted AI’s pivotal role in research, education, and innovation. He stressed the importance of training more PhD graduates who can drive AI advancements across the continent.

“Artificial intelligence is the future of the world. Those who want a good life must harness it,” he stated, echoing the urgency for Africa to integrate AI into its development strategies.

Reflecting on Africa’s educational challenges, Prof. Nawangwe pointed to the need for 1 million PhDs in the next 10 years to lift the continent out of poverty. “We must train like China does. We must contribute to the number of PhDs that the World Bank is talking about,” he urged.

While celebrating Makerere’s global achievements, he also acknowledged the challenge that remains. “Our students have competed worldwide and beaten the best. But why do we keep quiet about our successes?” he asked.

He concluded by urging Makerere to continue leading Africa’s AI revolution, emphasizing that the university must not only contribute globally but also drive transformative change within the continent. “What are we bringing back home?” he questioned, underscoring the importance of making AI a tool for Africa’s development.

CoCIS Principal Hails UK Envoy, Highlights AI Lab’s Achievements

The Principal of Makerere University’s College of Computing and Information Sciences (CoCIS), Prof. Tonny Oyana, welcomed the UK High Commissioner to Uganda, expressing gratitude for the diplomat’s visit and highlighting the college’s strides in artificial intelligence, data science, and sensor technology.

Prof. Oyana underscored the institution’s commitment to becoming a global leader in technology-driven research. “Our niche in the college is computer science, data science, artificial intelligence, and sensor technology,” he said. “We position ourselves not just as African leaders but as global leaders in this field.”

Prof. Tonny Oyana speaking. Official launch of the Makerere University Centre for Artificial Intelligence and Data Science (Mak-CAD), a hub dedicated to advancing AI research and innovation for Africa’s development. Theme: “Building Responsible AI Research and Innovations for Impact,” 13th March 2025, College of Computing and Information Sciences (CoCIS), Block B, Kampala Uganda, East Africa.
Prof. Tonny Oyana speaking.

Prof. Oyana also lauded the recent collaborative efforts with South Korea, noting that the partnership would enhance the college’s infrastructure. “One of the initiatives includes shared workspaces in the new research building and repair of lifts, which will be constructed in collaboration with the College of Engineering,” he revealed.

He acknowledged the contribution of Dr. Joyce, a key figure in the Artificial Intelligence (AI) Lab, crediting her leadership for sustaining the lab’s growth. “We were worried about the lab collapsing, but she has mobilized resources and enabled scientific advancements,” he stated.

Keynote Speaker Dr. Agnes Kiragga, Prof. Engineer Bainomugisha and other staff during the lab launch. Official launch of the Makerere University Centre for Artificial Intelligence and Data Science (Mak-CAD), a hub dedicated to advancing AI research and innovation for Africa’s development. Theme: “Building Responsible AI Research and Innovations for Impact,” 13th March 2025, College of Computing and Information Sciences (CoCIS), Block B, Kampala Uganda, East Africa.
Keynote Speaker Dr. Agnes Kiragga, Prof. Engineer Bainomugisha and other staff during the lab launch.

Additionally, Prof. Oyana commended Dr. Ernest Mwebase for his pioneering efforts in AI, recognizing his role in training the next generation of scientists. “Dr. Mwebase played a critical role in the development of AI at Makerere, and his leadership at Sunbird AI, Uganda’s first locally owned AI company, is commendable,” he said.

He also highlighted the college’s recent academic achievements, revealing that CoCIS graduated 681 students, including 12 PhD holders—the highest number in the college’s history. “Seven of these PhD graduates were female, a strong testament to our efforts in gender parity,” he added.

Prof. Oyana concluded by reaffirming the college’s dedication to advancing AI research and equipping students with skills for the 21st century. “We promise to be leaders in preparing youthful talent and driving research productivity in AI and sensor technology,” he affirmed.

Just as parents, we must  nurture a newborn to realize its full potential- Dr. Balikuddembe

Dean of the School of Computing and Informatics Technology, Dr. Joseph Kibombo Balikuddembe, likened the Centre to a growing plant or a newborn that requires nurturing, strategic input, and constant development to flourish. As a university, the goal is to remain at the forefront of innovation, equipping students and industry players with cutting-edge research and solutions that address real-world challenges—from health and agriculture to language models and policy formulation.

The Dean, School of Computing and Informatics Technology, Dr. Joseph Kibombo Balikuddembe delivering his remarks. Official launch of the Makerere University Centre for Artificial Intelligence and Data Science (Mak-CAD), a hub dedicated to advancing AI research and innovation for Africa’s development. Theme: “Building Responsible AI Research and Innovations for Impact,” 13th March 2025, College of Computing and Information Sciences (CoCIS), Block B, Kampala Uganda, East Africa.
The Dean, School of Computing and Informatics Technology, Dr. Joseph Kibombo Balikuddembe delivering his remarks.

 “Today, we celebrate the launch of a new initiative at the School of Computing and Information Technology. Just as parents nurture a newborn, we must cultivate and grow this new endeavor to reach its full potential”,  Dr Joseph Balikudembe

Principal of CEDAT Pledges Commitment to AI Research and Collaboration for Smart Solutions at Makerere University

The Principal of the College of Engineering, Design, Art, and Technology (CEDAT) at Makerere University Prof. Moses Musinguzi emphasized the importance of collaboration in maximizing synergies between the college’s departments and the growing field of Artificial Intelligence (AI). Prof. Musinguzi highlighted the evolving role of technology in both teaching and operations, noting how AI is transforming industries and how it aligns with CEDAT’s mission.

“At CEDAT, we design machines, and with the shift from analogue to digital systems, computing has become central to the design and operation of these machines,” the Principal explained, underlining the deep connection between engineering and computing in modern technology.

CEDAT Principal Prof. Moses Musinguzi making his remarks. Official launch of the Makerere University Centre for Artificial Intelligence and Data Science (Mak-CAD), a hub dedicated to advancing AI research and innovation for Africa’s development. Theme: “Building Responsible AI Research and Innovations for Impact,” 13th March 2025, College of Computing and Information Sciences (CoCIS), Block B, Kampala Uganda, East Africa.
CEDAT Principal Prof. Moses Musinguzi making his remarks.

Prof. Musinguzi acknowledged that many in the academic community are still familiarizing themselves with AI. However, he expressed confidence that initiatives like the one being discussed would significantly enhance the university’s capacity to understand and apply AI in various fields, including research, teaching, and institutional operations.

Reflecting on his recent trip to South Korea, Prof. Musinguzi  shared how AI and robotics are integrated into everyday life, even in the hospitality industry. “In the restaurant we visited, a robot served us. This is AI in action,” he said, noting the profound impact of AI in bridging the technological divide between the global north and south.

He also raised an important question about the role of African universities in this technological shift. “Before we talk about automating Uganda or creating smart cities, why not start here at Makerere University? Let’s lead by example by developing prototypes and testing them on our campus first,” he proposed, emphasizing the role of local solutions in fostering wider societal changes.

Prof. Tonny Oyana, Prof. Barnabas Nawangwe, H.E. Tiffany Kirlew and her counterpart First Secretary Public Diplomacy and Strategy Marcellla Winearls during the center launch. Official launch of the Makerere University Centre for Artificial Intelligence and Data Science (Mak-CAD), a hub dedicated to advancing AI research and innovation for Africa’s development. Theme: “Building Responsible AI Research and Innovations for Impact,” 13th March 2025, College of Computing and Information Sciences (CoCIS), Block B, Kampala Uganda, East Africa.
Prof. Tonny Oyana, Prof. Barnabas Nawangwe, H.E. Tiffany Kirlew and her counterpart First Secretary Public Diplomacy and Strategy Marcellla Winearls during the center launch.

In closing, the Prof. Musinguzi  reaffirmed CEDAT’s commitment to AI research and collaboration with other colleges within Makerere University. “We look forward to not just producing research papers, but also tangible, real-world outputs that will benefit communities and showcase the innovative contributions of our university,” he said.

Makerere AI Lab Leads Groundbreaking Research in Artificial Intelligence – Project Leader Dr. Joyce Nakatumba

Makerere University’s Artificial Intelligence (AI) Lab continues to lead the way in AI research on the African continent, tackling some of the most pressing challenges in health, agriculture, climate, and language technology. Established in 2011, long before AI became a global phenomenon, the lab has played a pioneering role in applying AI to real-world problems.

Speaking at the event, Dr. Joyce Nakatumba Nabende, the Principal Investigator and a senior lecturer in the Department of Computer Science, reflected on the lab’s journey and its impact over the years. “We started this journey under the leadership of Dr. John Quinn and Dr. Ernest, at a time when AI had not yet gained mainstream attention,” she said. “This was before ChatGPT became a household name, and before artificial intelligence became widely recognized. Our focus was on leveraging AI to solve real-world problems, even before the hype.”

Dr Joyce Nakatumba Nabende presenting. Official launch of the Makerere University Centre for Artificial Intelligence and Data Science (Mak-CAD), a hub dedicated to advancing AI research and innovation for Africa’s development. Theme: “Building Responsible AI Research and Innovations for Impact,” 13th March 2025, College of Computing and Information Sciences (CoCIS), Block B, Kampala Uganda, East Africa.
Dr Joyce Nakatumba Nabende presenting.

Dr. Nakatumba commended Makerere University for creating an environment that fosters research and innovation. “I appreciate the university for enabling us to do this research. The Vice Chancellor, Prof. Barnabas Nawangwe, has provided immense support in grant management and administration, ensuring that our work continues to thrive,” she said.

Over the years, the AI Lab has grown in scope and impact. Initially focused on malaria microscopy, a project that has since evolved into the Makerere AI Health Lab under Dr. Rose Nakasi, the lab has expanded its research into multiple fields. “We started with malaria microscopy under Ocular, and now our research spans several domains, including agriculture, climate change, and language technology,” Dr. Nakatumba noted.

A significant achievement of the lab has been its role in training and mentoring young AI researchers. “One of our proudest accomplishments is seeing our students grow. We have trained both MSc and PhD students, many of whom started as interns and are now leading researchers in their own right,” she said. “It is fulfilling to watch them take on bigger roles, apply their knowledge, and contribute to the advancement of AI.”

The PhD students that presented their work in AI across domains. Official launch of the Makerere University Centre for Artificial Intelligence and Data Science (Mak-CAD), a hub dedicated to advancing AI research and innovation for Africa’s development. Theme: “Building Responsible AI Research and Innovations for Impact,” 13th March 2025, College of Computing and Information Sciences (CoCIS), Block B, Kampala Uganda, East Africa.
The PhD students that presented their work in AI across domains.

However, AI research in Africa has faced its own set of challenges, one of the biggest being access to data. “Machine learning thrives on data. When we started, we realized that there were no datasets for African languages, health applications, or many other sectors,” Dr. Nakatumba explained. “We have since worked tirelessly to build datasets in health, agriculture, climate science, and language processing. These datasets are now publicly available, not only for our research but also for AI development globally.”

Dr. Nakatumba emphasized that the lab operates under three key pillars: advancing AI science, training students, and ensuring that research translates into practical impact. “People often ask, ‘You’ve done all this research, but is it being used?’ That is our guiding principle—making sure that our AI innovations are not just theoretical but are solving real challenges in society,” she said.

Scholarship recipients (seated) and project staff and supervisors in a group photo after the award. Official launch of the Makerere University Centre for Artificial Intelligence and Data Science (Mak-CAD), a hub dedicated to advancing AI research and innovation for Africa’s development. Theme: “Building Responsible AI Research and Innovations for Impact,” 13th March 2025, College of Computing and Information Sciences (CoCIS), Block B, Kampala Uganda, East Africa.
Scholarship recipients (seated) and project staff and supervisors in a group photo after the award.

Through partnerships with institutions such as the National Agricultural Research Organization (NARO), the Uganda Cancer Institute, and the Institute of African Languages, the lab has developed AI-powered solutions tailored to local needs. “From using AI to monitor air quality in Uganda’s urban centers to deploying AI-driven diagnostic tools in healthcare, we align our research with the pressing issues facing our communities,” she noted.

She also highlighted the importance of interdisciplinary collaboration, which has been central to the lab’s success. “Our work goes beyond computing. We collaborate with health scientists, engineers, linguists, and environmentalists. This multidisciplinary approach has helped us secure international grants such as those from the NIH for data science programs,” she said.

Dr. Nakatumba reaffirmed the lab’s commitment to advancing AI research and training more students in the field. “We are moving towards establishing a Center for AI and Data Science at Makerere University. With support from institutions like IDRC and FCDO, we aim to push the boundaries of AI innovation, train more students, and ensure that our work has a lasting impact,” she said.

Keynote Speaker Dr. Agnes Kiragga Calls for Accelerated AI Integration to Transform Public Health and Education in Africa

In her keynote address, Dr. Agnes Kiragga, an expert in health systems and data science, shared a compelling vision for the role of Artificial Intelligence (AI) in transforming Africa’s public health and educational systems. She emphasized the potential of AI to reshape the continent’s future, particularly in addressing the deep health challenges and educational needs that many African nations face.

Dr. Agnes Kiragga delivering her keynote. Official launch of the Makerere University Centre for Artificial Intelligence and Data Science (Mak-CAD), a hub dedicated to advancing AI research and innovation for Africa’s development. Theme: “Building Responsible AI Research and Innovations for Impact,” 13th March 2025, College of Computing and Information Sciences (CoCIS), Block B, Kampala Uganda, East Africa.
Dr. Agnes Kiragga delivering her keynote.

Dr. Kiragga, a senior researcher at the African Population and Health Research Centre (APHRC) in Nairobi, Kenya, highlighted the importance of AI in revolutionizing healthcare delivery, from infectious disease management to chronic disease prevention. “The digitalization of health systems, driven by AI, is not just a luxury but a necessity if we are to improve access and outcomes, especially in remote areas,” she noted.

She also underscored the significance of AI in the education sector, referencing the continent’s growing youth population. “With Africa’s workforce expected to expand dramatically by 2030, AI-powered educational tools can play a pivotal role in scaling up skills development, particularly in digital literacy,” she stated. She also pointed out that innovations like mobile-based education platforms and AI applications for healthcare could drive progress in regions with limited infrastructure.

While excited about Africa’s AI potential, Dr. Kiragga stressed the urgency of overcoming barriers to digital inclusion, including limited internet access and mobile penetration. “To achieve the transformative potential of AI, we must ensure that innovations reach the last mile, from rural villages to urban centers,” she said.

Some of the participants at the launch listening in. Official launch of the Makerere University Centre for Artificial Intelligence and Data Science (Mak-CAD), a hub dedicated to advancing AI research and innovation for Africa’s development. Theme: “Building Responsible AI Research and Innovations for Impact,” 13th March 2025, College of Computing and Information Sciences (CoCIS), Block B, Kampala Uganda, East Africa.
Some of the participants at the launch listening in.

Kiragga called for stronger collaboration across sectors and nations to create policies that foster AI innovation while addressing data governance and ethical concerns. “AI is data-hungry and needs robust governance frameworks to ensure that it serves the public good,” she emphasized.

As Africa stands on the brink of an AI-driven future, Dr. Kiragga’s message was clear: innovation and strategic partnerships are key to unlocking AI’s full potential for the continent’s development.

UNDP Calls for AI Policy and Practical Applications to Address Uganda’s Development Challenges

The United Nations Development Programme (UNDP) called for urgent action to elevate discussions on Artificial Intelligence (AI) in Uganda, emphasizing the need for a national AI policy and practical AI applications to address key development challenges in agriculture, healthcare, and mobility.

Tumuhamye Nathan, UNDP Program Analyst and Head of Exploration, stressed that AI must be contextualized to fit Uganda’s unique challenges rather than being perceived as an abstract or foreign concept. “We need to elevate the discussion of AI to look at our context in which we operate. If you look at agriculture, how do we use AI to advance technology within this sector? If you look at mobility, what role can AI play in improving transportation?” he stated.

UNDP Representative Nathan Tumuhamye. Official launch of the Makerere University Centre for Artificial Intelligence and Data Science (Mak-CAD), a hub dedicated to advancing AI research and innovation for Africa’s development. Theme: “Building Responsible AI Research and Innovations for Impact,” 13th March 2025, College of Computing and Information Sciences (CoCIS), Block B, Kampala Uganda, East Africa.
UNDP Representative Nathan Tumuhamye.

He emphasized that for AI to have meaningful impact, it must be integrated into real-life solutions that resonate with ordinary Ugandans. He illustrated this with an example from his hometown of Kanungu, where many people may not have formal education but still need to understand how AI can improve their lives. “They need to understand AI from the perspective of their real-life experiences. For us, using tools like ChatGPT is about accessing quick information, but how do we communicate AI to someone who has never been to a classroom but still needs to see its value?” he posed.

One of the critical areas where AI can make a transformative impact is healthcare. Nathan highlighted Uganda’s high maternal mortality rate due to a shortage of health workers and questioned how AI can be leveraged to bridge this gap. “We are losing so many mothers because we say we don’t have enough health workers to attend to them during childbirth. How do we use AI to amplify healthcare interventions, ensuring that AI tools support maternal care and other critical health services?” he asked.

He emphasized that AI’s significance lies in its ability to provide practical solutions to such challenges. “The responsible and responsive use of AI should directly address key areas like healthcare, transport, and agriculture,” he noted.

Uganda’s Lack of an AI Policy

Despite the growing importance of AI, Uganda currently lacks a national policy to regulate and guide its implementation. Nathan revealed that discussions with the Ministry of ICT and National Guidance are ongoing, with the Permanent Secretary of ICT tasked by Cabinet to spearhead the development of an AI policy. “Everyone is talking about AI, but what does it mean from a policy perspective? If you develop an AI-powered tool for healthcare, how does it fit within government systems if there is no policy framework to support it?” he questioned.

Chief guest and other dignitaries tour the Mak AI Health lab headed by Dr. Rose Nakasi. Official launch of the Makerere University Centre for Artificial Intelligence and Data Science (Mak-CAD), a hub dedicated to advancing AI research and innovation for Africa’s development. Theme: “Building Responsible AI Research and Innovations for Impact,” 13th March 2025, College of Computing and Information Sciences (CoCIS), Block B, Kampala Uganda, East Africa.
Chief guest and other dignitaries tour the Mak AI Health lab headed by Dr. Rose Nakasi.

He acknowledged that while it is beneficial to learn from existing AI implementations before developing regulations, the rapid advancement of technology means Uganda cannot afford to delay its policy framework. “Technology is moving very fast, and we cannot wait. We need a policy, and conversations are ongoing. We hope that by the end of this year, we will have made significant progress,” he stated.

UNDP’s AI Capacity-Building Initiatives

To further support AI adoption in Uganda, UNDP is rolling out advanced AI training programs this year. The initiative will focus on building AI models and systems that can address local challenges. “We are not just looking at AI on a digital scale but focusing on practical AI applications. If we have data, how can we use it to develop AI models that solve real problems?” Nathan explained.

The training will include both residential and non-residential programs, equipping participants with hands-on skills in AI development. UNDP plans to collaborate with innovators to identify how AI can support their solutions. “It’s not just about teaching someone how to use ChatGPT. We want to see how AI can help an innovator solve a local problem in a meaningful way,” he added.

Some of the launch participants attending the centre launch. Official launch of the Makerere University Centre for Artificial Intelligence and Data Science (Mak-CAD), a hub dedicated to advancing AI research and innovation for Africa’s development. Theme: “Building Responsible AI Research and Innovations for Impact,” 13th March 2025, College of Computing and Information Sciences (CoCIS), Block B, Kampala Uganda, East Africa.
Some of the launch participants attending the centre launch.

Nathan assured stakeholders that UNDP will continue working closely with the government to ensure responsible AI adoption. He stressed that ongoing consultations will help shape a policy framework that ensures AI benefits all Ugandans. “We will be moving around the country, consulting stakeholders together with the Ministry of ICT to ensure that AI is leveraged for the benefit of everyone,” he stated.

As AI continues to shape the future, UNDP remains committed to supporting Uganda’s AI ecosystem through policy advocacy, training, and collaboration with innovators to drive AI-powered development solutions.

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Jane Anyango

Computing & IS

Makerere Hosts Africa’s 2026 Data Science Gathering, Calls for Greater AI Investment

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Prof. Barnabas Nawangwe (3rd Right) with Prof. Tonny Oyana (Right) and Data Science Africa officials at the opening ceremony. 14th Data Science Africa (DSA), Theme: "Foundational and Practical Data Science in the Age of Generative AI”, 20th - 24th July, 2026, Makerere University, Kampala Uganda, East Africa and Online.

Makerere University has called for increased investment in artificial intelligence (AI) and data science, warning that Africa risks being left behind in the rapidly evolving global digital economy if governments and the private sector fail to prioritize the emerging technologies.

The call was made by Makerere University Vice Chancellor, Prof. Barnabas Nawangwe, while officially opening the 14th Data Science Africa (DSA) Summer School and Workshop at the university’s Main Hall on Thursday.

The week-long event, held from July 20–24 under the College of Computing and Information Sciences (CoCIS), attracted students, researchers and professionals from across Africa and beyond. The gathering is being held under the theme, “Foundational and Practical Data Science in the Age of Generative AI.”

Prof. Nawangwe said although data has become one of the world’s most valuable resources, Africa has yet to fully appreciate its economic significance.

Prof. Barnabas Nawangwe addressing the congregation during the conference. 14th Data Science Africa (DSA), Theme: "Foundational and Practical Data Science in the Age of Generative AI”, 20th - 24th July, 2026, Makerere University, Kampala Uganda, East Africa and Online.
Prof. Barnabas Nawangwe addressing the congregation during the conference.

“I keep hearing that data is the next oil, but apparently it is already the current oil,” he said, adding that governments must be persuaded to invest more in data infrastructure, including modern data centres.

He noted that while global technology companies are investing hundreds of billions of dollars in AI, Africa remains a marginal player despite possessing the intellectual capacity to develop home-grown solutions.

Rather than attempting to compete directly with technology giants, Prof. Nawangwe urged African researchers to develop AI systems tailored to solving the continent’s unique challenges in healthcare, agriculture, education, climate resilience, governance and urban development.

Participants' group photo. 14th Data Science Africa (DSA), Theme: "Foundational and Practical Data Science in the Age of Generative AI”, 20th - 24th July, 2026, Makerere University, Kampala Uganda, East Africa and Online.
Participants’ group photo.

“We need AI that understands Africa,” he said.

The Vice Chancellor commended Data Science Africa for nurturing a new generation of African data scientists through practical training, mentorship and collaborative research since its inception.

He also highlighted Makerere University’s investments in AI research through initiatives such as the Makerere AI Centre, AI Health Lab and other research collaborations, saying the university has continued to align its computer science programmes with emerging technologies since 2009.

Prof. Nawangwe, however, observed that Africa’s research capacity remains inadequate, stressing the need to significantly increase the number of PhD graduates to drive scientific innovation and economic transformation.

He praised CoCIS researchers, particularly Prof. Engineer Bainomugisha, for leading high-impact projects such as the AirQo initiative, which monitors air quality in more than 15 African countries.

Left to right, Prof. Tonny Oyana, the Principal of CoCIS, Prof. Barnabas Nawangwe, the VC of Makerere University and Prof. Engineer Bainomugisha, and Dr. John Quinn, the Keynote Address Speaker during the conference. 14th Data Science Africa (DSA), Theme: "Foundational and Practical Data Science in the Age of Generative AI”, 20th - 24th July, 2026, Makerere University, Kampala Uganda, East Africa and Online.
Left to right, Prof. Tonny Oyana, the Principal of CoCIS, Prof. Barnabas Nawangwe, the VC of Makerere University and Prof. Engineer Bainomugisha, and Dr. John Quinn, the Keynote Address Speaker during the conference.

Describing Data Science Africa as a strategic partner, Prof. Nawangwe said the annual gathering strengthens continental collaboration, mentorship and research networks essential for Africa’s technological advancement.

“We have the intellectual capacity. What is lacking is the will to invest heavily in AI,” he said.

Principal Oyana Warns on AI Risks, Urges Africa to Invest in Technology

Earlier, the Principal of the College of Computing and Information Sciences, Prof. Tony Oyana, cautioned that while artificial intelligence presents enormous opportunities, it also poses significant risks if developed without adequate ethical safeguards.

Referring to recent reports about an advanced AI system reportedly operating beyond its intended controls during testing, Prof. Oyana said the incident underscored the importance of responsible AI development.

Prof. Tonny Oyana addressing the congregation. 14th Data Science Africa (DSA), Theme: "Foundational and Practical Data Science in the Age of Generative AI”, 20th - 24th July, 2026, Makerere University, Kampala Uganda, East Africa and Online.
Prof. Tonny Oyana addressing the congregation.

“The world is creating a monster, and we must be ethical about that monster because it may destroy our own existence,” he said.

Prof. Oyana also expressed concern over the widening technology investment gap between Africa and developed economies.

He cited reports indicating that major technology companies in the United States have committed approximately US$700 billion to technology investments, while Africa continues to invest largely in traditional sectors such as oil and gas.

He challenged African billionaires and governments to redirect more capital towards technology, innovation and data science.

“We want our wealthy investors to put their money into technology so that Africa can also participate in this digital economy,” he said.

DSA Board Chair Praises Makerere’s Leadership in AI Research

Data Science Africa Board Chair, Cira Maina, commended Makerere University for establishing itself as one of Africa’s leading centres for artificial intelligence research and innovation.

He said the university’s numerous AI laboratories and research projects have become a source of inspiration for institutions across the continent.

A group of participants during the event. 14th Data Science Africa (DSA), Theme: "Foundational and Practical Data Science in the Age of Generative AI”, 20th - 24th July, 2026, Makerere University, Kampala Uganda, East Africa and Online.
A group of participants during the event.

“Makerere is showing us how to do AI properly. The labs and projects here are inspiring institutions across Africa,” Maina said.

Maina  noted that researchers, including those at her institution in Kenya, have drawn lessons from Makerere’s research ecosystem and expressed confidence that participants attending the summer school would return to their respective countries motivated to strengthen AI research and innovation.

Maina also applauded the organising committee, led by Prof. Engineer Bainomugisha, together with programme chairs, sponsors and the wider Data Science Africa community for successfully organising the continental event.

African Researchers Must Lead Development of AI for Local Languages, Says Sunbird AI Founder

The founder of Sunbird AI, Dr. John Quinn, has challenged African researchers to take the lead in developing artificial intelligence (AI) models for indigenous languages, arguing that global technology companies are unlikely to adequately address the continent’s linguistic diversity.

Dr. John Quinn presenting during the conference. 14th Data Science Africa (DSA), Theme: "Foundational and Practical Data Science in the Age of Generative AI”, 20th - 24th July, 2026, Makerere University, Kampala Uganda, East Africa and Online.
Dr. John Quinn presenting during the conference.

Delivering the keynote address, Quinn said Africa possesses both the expertise and opportunity to build world-class language models capable of serving local communities.

“The frontier of African language models is not in OpenAI or Anthropic. It’s here, among us,” Quinn told participants. “We can do it, and we have to do it because no one else is going to.”

Quinn said Africa’s more than 2,000 languages represent not only cultural heritage but also economic opportunities whose full potential remains untapped because of language barriers.

He noted that despite massive global investments in artificial intelligence, only a fraction targets African languages and local challenges.

“Everyone is talking about AI and large language models, but African languages receive only a very small slice of global investment,” he said.

According to Quinn, reducing language barriers through AI could improve access to government services, healthcare, education and cross-border business opportunities across the continent.

Sunbird AI Unveils New Multilingual Language Models

Quinn announced the release of a new generation of Sunbird AI’s “Sunflower” language models capable of understanding and generating text in 67 major African languages, including 31 Ugandan languages. The models, range from lightweight versions that can run on smartphones to larger versions designed for desktop computers.

He also revealed speech recognition models supporting 51 African languages, describing the development as a major step toward making AI accessible to communities that primarily communicate through speech rather than text.

Quinn said earlier versions of the models had already demonstrated superior performance over some leading global AI systems in several African language translation tasks.

The keynote speaker demonstrating to the congregation during the conference. 14th Data Science Africa (DSA), Theme: "Foundational and Practical Data Science in the Age of Generative AI”, 20th - 24th July, 2026, Makerere University, Kampala Uganda, East Africa and Online.
The keynote speaker demonstrating to the congregation during the conference.

Using Acholi as an example, he illustrated how locally developed AI models outperformed international systems when responding to practical questions and translating indigenous languages.

“Our objective is not simply to build translation tools, but language models that understand African languages well enough to answer questions, solve problems and support local innovation,” he said.

Researchers Urged to Build Local AI Solutions

Quinn encouraged African universities and researchers to contribute data, improve language resources and refine AI models rather than waiting for multinational technology firms to prioritise African languages.

He explained that successful language models depend largely on the availability of quality training data, including books, newspapers, dictionaries and other written materials in local languages.

“The amount of language data is the biggest determinant of how good these models become,” he said.

The keynote speaker, John Quinn during the conference. 14th Data Science Africa (DSA), Theme: "Foundational and Practical Data Science in the Age of Generative AI”, 20th - 24th July, 2026, Makerere University, Kampala Uganda, East Africa and Online.
The keynote speaker, John Quinn during the conference.

He outlined the three major stages involved in building advanced language models;- pre-training, supervised fine-tuning and reinforcement learning describing them as processes through which AI systems learn language patterns, follow instructions accurately and improve responses over time.

Quinn noted that local researchers are better positioned to understand linguistic nuances, cultural contexts and translation challenges than developers working outside the continent.

“There is a reason these models get things wrong when they are developed thousands of miles away. The people in this room understand these languages and their cultural context better than anyone else,” he said.

Speech Technology Identified as Next Frontier

Quinn said speech technology represents the next major frontier for artificial intelligence in Africa because many indigenous languages are predominantly spoken rather than written.

He urged researchers attending the workshop to experiment with the newly released models, provide feedback and collaborate in expanding AI capabilities across more African languages.

A group of participants listening to presentations at the conference. 14th Data Science Africa (DSA), Theme: "Foundational and Practical Data Science in the Age of Generative AI”, 20th - 24th July, 2026, Makerere University, Kampala Uganda, East Africa and Online.
A group of participants listening to presentations at the conference.

“The opportunity is much closer than many people think,” Quinn said. “Reaching the frontier of AI for African languages is achievable if we work together.”

Data Science Africa 2026 Equips Researchers to Build AI Solutions for Africa

The Organising Chair of the 14th Data Science Africa (DSA) Summer School and Workshop, Prof. Engineer Bainomugisha,  said this year’s programme was designed to equip students, researchers and professionals with the knowledge and practical skills needed to develop data science and artificial intelligence (AI) solutions for Africa’s pressing challenges.

One of the presenters takes participants through a practical session. 14th Data Science Africa (DSA), Theme: "Foundational and Practical Data Science in the Age of Generative AI”, 20th - 24th July, 2026, Makerere University, Kampala Uganda, East Africa and Online.
One of the presenters takes participants through a practical session.

Bainomugisha said the week-long programme combines intensive training with research exchange under the theme, “Foundational and Practical Data Science in the Age of Generative AI.”

According to Bainomugisha, the event was divided into two segments;-a three-day Summer School held from July 20 to 22 and a two-day Workshop running from July 23 to 24.

Summer School Focuses on Practical AI Skills

Bainomugisha said the Summer School was designed for undergraduate and postgraduate students, researchers and professionals working with large-scale or specialised datasets, particularly those with backgrounds in mathematics, statistics, computer science, engineering and related disciplines.

He explained that the training introduced participants to both foundational and advanced data science concepts through lectures and practical sessions.

Prof. Engineer Bainomugisha making remarks during the event. 14th Data Science Africa (DSA), Theme: "Foundational and Practical Data Science in the Age of Generative AI”, 20th - 24th July, 2026, Makerere University, Kampala Uganda, East Africa and Online.
Prof. Engineer Bainomugisha making remarks during the event.

“The Summer School equips participants with practical and theoretical foundations in modern data science, ranging from Python basics to advanced Generative AI,” Bainomugisha said.

He said the curriculum covered Python for data science, data storytelling and visualisation, machine learning fundamentals, ethics and responsible AI, hands-on projects using real-world datasets, agentic AI and multi-agent systems, multimodal AI and large language models, AI for resource-constrained environments, natural language processing and African language models, as well as explainable AI and model interpretability.

Workshop Highlights African AI Research

Bainomugisha said the Workshop was intended to explore how foundational data science, machine learning and generative AI techniques can be combined to develop scalable solutions for challenges facing the African continent.

A group of student researchers present their work during the conference. 14th Data Science Africa (DSA), Theme: "Foundational and Practical Data Science in the Age of Generative AI”, 20th - 24th July, 2026, Makerere University, Kampala Uganda, East Africa and Online.
A group of student researchers present their work during the conference.

He noted that researchers presented work focusing on applications of AI and data science in healthcare, agriculture, climate resilience, education, environmental management and finance.

According to Bainomugisha, discussions also addressed ethical AI, cybersecurity and data governance to ensure emerging technologies are developed and deployed responsibly.

“The workshop provides a platform for researchers and practitioners to share innovations that respond to African priorities while strengthening collaboration across the continent,” he said.

Bainomugisha said the conference received submissions in the form of research papers, industry experience papers and work-in-progress presentations.

He added that although the programme was organised around six thematic areas namely foundational data science and machine learning, generative AI and African language models, AI applications, AI in education and finance, ethical AI and cybersecurity, and data governance, the organisers also encouraged high-quality submissions addressing other issues aligned with the conference theme.

Panelists make their presentations. 14th Data Science Africa (DSA), Theme: "Foundational and Practical Data Science in the Age of Generative AI”, 20th - 24th July, 2026, Makerere University, Kampala Uganda, East Africa and Online.
Panelists make their presentations.

He said bringing together researchers, students, innovators and industry practitioners creates opportunities for collaboration and knowledge sharing that will contribute to advancing Africa’s AI and data science ecosystem.

The Data Science Africa Summer School and Workshop is one of Africa’s leading annual platforms for capacity building, research dissemination and collaboration in artificial intelligence, machine learning and data science.

Jane Anyango is the Principal Communication Officer CoCIS

Photo credits: Peninah Nalubega – 4th year Journalism and Communication student.

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Computing & IS

Bridging Mental Health Service Gap in Africa using AI

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Natural Language Processing (NLP) for Mental Health Service Improvement in Africa. Makerere University Centre for Artificial Intelligence (Mak-AI), Kampala Uganda, East Africa.

How can AI help bridge the mental health service gap in Africa?

Through this project, teams from Uganda and Tanzania implemented AI-powered call center solutions at national mental health hospitals, leveraging Automatic Speech Recognition (ASR) and Natural Language Processing (NLP) to analyze conversations in local languages and generate insights that support better service delivery.

Some of the key achievements include:

  • Developing ASR models for Ugandan-accented English and Luganda mental health recordings
  • Assessing the quality of mental health conversations
  • Detecting mental health topics from speech recordings
  • Generating escalations and decision-support insights for healthcare practitioners

The project also reinforced important lessons: local-language AI improves accessibility, user-centered design builds trust, and privacy and ethics must remain at the center of AI-driven healthcare innovation.

As Africa continues to embrace digital health solutions, initiatives like these demonstrate the potential of AI to strengthen mental healthcare systems and improve access to quality care for underserved communities.

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Computing & IS

CoCIS CIPSD Short Courses Jul-Sept 2026

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A male student studies on his laptop in the College of Computing and Information Sciences (CoCIS), Block B, Makerere University, Kampala Uganda.

Makerere University College of Computing and Information Sciences (CoCIS) is the main ICT Training, Research and Consultancy Centre in Makerere University. The College has six Academic departments comprising of the Department of Computer Science, Department of Networks, Department of Information Technology, Department of Information Systems, Department of Library and Information Sciences, and the Department of Records and Archives management.

In addition to the mainstream degree programmes, CoCIS has a specialized Center for Innovations and Professional Skills Development (CIPSD) which delivers state-of-art training in ICT e.g. the Cisco Networking Academy for Cisco related courses, the Microsoft IT Academy Program for Microsoft related courses, International Computer Driving License course, Oracle Certified Training center for Oracle, Linux and Unix Training center. CIPSD also offers Machine Learning, Big Data Analytics, Data Science, Artificial Intelligence (AI) and Ethical Hacking as online courses. The College is an authorized Testing center, operating under PearsonVUE and Kryterion. Listed in the table (see downloads below) are the courses currently offered at the Center with their next start dates, duration, and cost.

  • All courses are at affordable fees catering for Students, Vacists, Professionals and
  • Anyone who wants to start a career in ICT or polish his/her ICT skills.

Register here: https://forms.gle/eTVwcAfBGXaVLL9b7

Contact Information

E-mail: psd.cis@mak.ac.ug
Tel: +256 752 779964 | +256 701 806656 | +256 752 373023
URL: https://cocis.mak.ac.ug/cipsd/

CoCIS CIPSD Short Courses for Vacists, Students and Professionals.
CoCIS CIPSD Short Courses for Vacists, Students and Professionals.

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