Computing & IS
Gender Mainstreaming Directorate to set up Day-Care Centres & Men’s Spaces
Published
3 years agoon
By
Jane Anyango
Most of the conversation in the public tends to portray a picture that when we talk about gender, gender equality and gender mainstreaming, it is about women and girls.

Officials from Makerere University Gender Mainstreaming Directorate observed that, there is a kind of a divide that exists between men and women that need to breach by creating men’s spaces to specifically build what they termed as male allies.
Strategies proposed involve college identification of male champions who passionately love gender equality and conversations around gender to organize, male-only dialogues and discuss men and boys issues and, to prepare male students by grooming them as ideal men through the different male talks.
The Gender Mainstreaming Directorate (GMD) is currently carrying out college tours to solicit support to create men’s spaces as a forum for involving men and boys to speak for gender equality and also deal with issues that affect men and boys in the university.
A team from the Gender Mainstreaming unit led by Director represented by Ms. Susan Mbabazi was on 23rd May 2023 holding a consultative meeting with staff and management of the College of Computing and Information Sciences on the university Gender Mainstreaming initiatives to solicit support to advance the initiatives.
The team also tabled a proposal for the creation of Day-Care centres for nursing mothers and fathers both centrally and at college levels.

The Senior Gender Officer in the Directorate Mr. Eric Tumwesigye said the male allies for gender equality are men that have been identified and trained to enhance conversations for gender equality. In any space in the university where issues of gender equality are discussed, these men will be the mouthpieces that are going to speak for gender.
“But also, we need men’s spaces to discuss men’s issues. One of the things we have neglected is the fact that men have issues as men, and the issues that come from the way they have been nurtured and brought up”, He said
Tumwesigye contends that society is struggling with drugs and many other crimes because of the traditions believed in and the way men and boys are brought up. Men he says, need to sit as men, understand their issues and how they can be resolved.
“Boys are dropping out of colleges and schools because of the way they have been brought up. They are in betting, chewing tuition to take care of their girlfriends and want to keep this high life profiles they cannot sustain. The gender-based violence between the boyfriends and the girlfriends, the sexual harassment issues are because of the way men are brought up”, Tumwesigye explained
Tumwesigye emphasised the need for men to come out and appreciate that the tradition is a privilege to them, and that, in most cases, disadvantages women and girls and, sometimes that kind of entitlement leads men in bad spots very difficult to recover.
Creation of Day-Care centres at Makerere University
The gender officer asserts that it is now a global conversation beyond Makerere and that it is not enough to discuss issues of increasing women faculty and women in leadership positions. The questions of domestic care have a lot to do with women’s ability to succeed in other areas.
The Gender Mainstreaming Directorate wants to see that women and girls with babies who join the university as staff and students do not withdraw from being productive because they have to take care of the baby at home.
Mr. Tumwesigye said, the directorate has had conversations with Norwegians and colleagues from the School of Public Health and would like the centre and colleges to identify administrative units turned into Day-Care centres where staff and students can bring their babies, and take care of them.
“We want to discuss and get the standard of what it would take so that we help our colleagues who have babies to be able to come with them in these facilities with someone to take care of them. So when you bring your baby, you have registered your baby and you know that when you come back you will find them here. But in case someone wants to come with a maid, we don’t encourage it in public service”, Tumwesigye added
Tumwesigye said the plan is to have adult caretakers trained and have basic structures such as a room, beddings and play centres within these day-care centres.
The Day-Care centres for Mothers and Nursing fathers
Most people are mistaken that babies are for mothers. Makerere’s daycare centres will also take care of nursing men.
“We have men who have babies, maybe their mothers are on study leaves, their mothers are gone, their mothers went for other things, maybe even have the mother in the house, but she is occupied and it is the father taking care of the baby.
So instead of the father driving back and forth to check on this baby, he will just come from home with your baby, place them in the daycare centre and in the evening go home with the baby.” Tumwesigye said adding that students will also be catered for.
” Students should also have space in the day-care centres at colleges. We should encourage them because if they don’t bring these babies, it is going to affect how they concentrate in the library and in the lecture room because they have a babies to run after”, Tumwesigye argues

The Directorate calls upon all colleges to identify and allocate spaces to Day -Care centres and also integrate budgets for these centres within their annual plans. These budgets he said, can also stem from the Gender Mainstreaming Directorate but decentralised in the colleges.
Speaking on behalf of the Director, Gender Mainstreaming Directorate, Ms. Susan Mbabazi, said the team was in the college to consult about how the directorate can implement the gender mainstreaming programs of the University together.
“We are implementing the Gender Policy, and regulations against sexual harassment. We need the support of each one of the stakeholders of this university. We are moving around colleges to talk to the college management, but also the college membership about what we are doing and about the support that we shall need from them,” Mbabazi said.
At the moment, Mbabazi explained that the directorate was collecting data on the situation analysis of gender mainstreaming initiatives in the university and seeking the support of the colleges to update the statistics.
Statistics sought include; the gender representation of men and women as staff in leadership and academic positions, university committees and as students.
Ms. Mbabazi commended the College of Computing and Information Sciences for promoting gender in research and, in terms of gender representation of staff and the many upcoming women.
“We are so excited that the level of associate professor is 50-50% male and women. We have been informed that the general representation of women and students is good and we want to see how to get this model and share experiences, especially with other colleges where we think that the numbers of women are still fewer. ” Mbabazi commended.

The Ag. Principal College of Computing and Information Sciences Dr. Peter Nabende called upon all staff to support the university initiatives by reporting gender-related cases pledging management support to the Gender Mainstreaming unit.
Dr. Nabende welcomed the move to create day-care centres to serve students, male and female staff as a means of protecting the innocent babies and mothers who enrol to the university.
” It gives them an opportunity to be comfortable , concentrate and it will enable them to work effectively and to complete their studies. We are fortunate to have these daycare centres for both staff and students, given the fact that all come from different backgrounds and have different experiences of life”. Dr. Nabende said.
The Principal pledged the college management readiness to support the directorate even in areas of technical expertise such as developing Apps to map the gender mainstreaming initiatives in the university.
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Computing & IS
Makerere Hosts Africa’s 2026 Data Science Gathering, Calls for Greater AI Investment
Published
2 weeks agoon
July 23, 2026By
Jane Anyango
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.

“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.

“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.

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.

“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.

“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.

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.

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.

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.

“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.

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.

“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.

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.

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.
Computing & IS
Bridging Mental Health Service Gap in Africa using AI
Published
2 months agoon
June 5, 2026By
Mak Editor
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.
Computing & IS
CoCIS CIPSD Short Courses Jul-Sept 2026
Published
2 months agoon
May 29, 2026By
Mak Editor
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/

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