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First Makerere Workshop on Social Systems & Computation

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Summary Top researchers from Northwestern University (Chicago), University of British Columbia (Vancouver) and Makerere (Kampala) are teaming up to offer a workshop on cutting-edge methods for computational modeling of social systems, algorithm design, and machine learning. The sessions will take place between December 3rd and 10th, and there is no cost for attendance; however, registration is mandatory.

Summary Top researchers from Northwestern University (Chicago), University of British Columbia (Vancouver) and Makerere (Kampala) are teaming up to offer a workshop on cutting-edge methods for computational modeling of social systems, algorithm design, and machine learning. The sessions will take place between December 3rd and 10th, and there is no cost for attendance; however, registration is mandatory.

Attendance is limited to academic staff working at a Ugandan university; students doing research in related areas may also be given special permission to attend if space permits. Participants will have the opportunity to publish papers in official, reviewed workshop proceedings at a later date. A certificate of completion will be provided to participants who attend at least two thirds of workshop sessions.

Overview Traditionally, computer science has viewed data as coming from either an adversarial source or from nature itself, giving rise to worst-case and average-case design and analysis of optimization algorithms. In recent years with the advent of modern technologies like the Internet, it has become increasingly apparent that neither of these assumptions reflects reality. Data is neither adversarial nor average, but rather inputs to algorithms are constructed by a diverse set of self-interested agents in an economy, all aiming to maximize their own happiness. Thus the raw data is often not available to an algorithm designer, but must be solicited from the agents–that is, the designer faces an economic constraint. The primary goal of this workshop is to explore the implications of this observation. We will study the performance of algorithms in the presence of utility-maximizing agents and ask whether alternate designs might create incentives for agents to act more optimally. Simultaneously, we will look at other more traditional optimization problems such as approximation and learning and techniques to solve them, pointing out that these may often be leveraged to solve issues in the economic setting.

Related Research Areas Computer Science Theory; Artificial Intelligence; Economics; Business

Format The workshop will consist of six 3-hour lectures, plus meal/breakout sessions for informal research discussion. Spaces are strictly limited, and attendees must pre-register. We will aim to select topics and session times that are best for our participants. To register, and to indicate your preferences for topics and dates, please complete the survey at http://www.surveymonkey.com/s/WWGMKZG.

List of Candidate Topics The workshop will consist of up to six of the following twelve topics.

Introduction to Game Theory
Game theory is the mathematical study of interaction among independent, self-interested agents. It has been applied to disciplines as diverse as economics, political science, biology, psychology, linguistics—and computer science. This tutorial will introduce what has become the dominant branch of game theory, called noncooperative game theory, and will specifically describe normal-form games, a canonical representation in this discipline. The tutorial will be motivated by the question: "In a strategic interaction, what joint outcomes make sense?"

Voting Theory
Voting (or "Social Choice") theory adopts a“designer perspective” to multiagent systems, asking what rules should be put in place by the authority (the “designer”) orchestrating a set of agents. Specifically, how should a central authority pool the preferences of different agents so as to best reflect the wishes of the population as a whole? (Contrast this with Game Theory, whichadopts what might be called the “agent perspective”: its focus is on making statements about how agents should or would act in a given situation.) This tutorial will describe famous voting rules, show problems with them, and explain Arrow's famous impossibility result.

Mechanism Design and Auctions
Social choice theory is nonstrategic: it takes the preferences of agents as given, and investigates ways in which they can be aggregated. But of course those preferences are usually not known. Instead, agents must be asked to declare them, which they may do dishonestly. Since as a designer you wish to find an optimal outcome with respect to the agents’ true preferences (e.g., electing a leader that truly reflects the agents’ preferences), optimizing with respect to the declared preferences will not in general achieve the objective. This tutorial will introduce Mechanism Design, the study of identifying socially desirable protocols for making decisions in such settings. It will describe the core principles behind this theory, and explain the famous "Vickrey-Clarke-Groves" mechanism, an ingenious technique for selecting globally-utility-maximizing outcomes even among selfish agents. It will also describe Auction Theory, the most famous application of mechanism design. Auctions are mechanisms that decide who should receive a scarce resource, and that impose payments upon some or all participants, based on agents' "bids".

Constraint Satisfaction Problem Solving
This hands-on tutorial will teach participants about solving Constraint Satisfaction Problems using search and constraint propagation techniques. This is a representation language from artificial intelligence, used to describe problems in scheduling, circuit verification, DNA structure prediction, vehicle routing, and many other practical problems. The tutorial will consider the problem of solving Sudoku puzzles as a running example. By the end of the session, participants will have written software (in Python) capable of solving any Sudoku puzzle in less than a second.

Bayesian methods and Probabilisitic Inference
Bayesian methods are commonly used for recognising patterns and making predictions in the fields of medicine, economics, finance and engineering, powering all manner of applications from fingerprint recognition to spam filters to robotic self-driving cars. This session will show how principles of probability can be used when making inferences from large datasets, covering issues such as prior knowledge and hyperpriors, the construction of "belief networks", and nonparametric methods such as Gaussian processes. Several applications will be demonstrated.

Computer Vision

It is useful to be able to automatically answer questions about an image, such as "is this the face of person X?", "how many cars are there on this street?" or "is there anything unusual about this x-ray?". This session will look at some of the current state of the art in computer vision techniques, including methods for representing the information in an image (feature extraction), and to recognise objects in an image given such a representation. We will particularly spend some time looking at approaches which have been found to work well empirically on object recognition, such as generalised Hough transforms, boosted cascades of Haar wavelet classifiers, and visual bag-of-words methods. Locally relevant applications in crop disease diagnosis, parasite detection in blood samples and traffic monitoring will be demonstrated as illustrating examples.

Learning Causal Structure from Data
Until a few decades ago, it was thought to be impossible to learn causes and effects from purely observational data without doing experiments. Sometimes, however, it is impossible to do experiments (e.g. in some branches of genetics), or experiments may be costly or unethical (e.g. situations in climate change or medicine), so the emergence of computational methods for distinguishing causes, effects and confounding variables is likely to have wide implications. Some principles are now understood for learning the causal structure between different variables, and this session will explain the most successful current approaches, their possibilities and their limitations.

Internet Search and Monetization
The internet is one of the most fundamental and important applications of computer science. Central to its existence are search engines which enable us to find content on the web. This module focuses on the algorithms like PageRank that these search engines use to help us find webpages. It also studies how these engines make money through advertising.

Social Networks
Social networks describe the structure of interpersonal relationships and have many alarmingly predictable properties. While most people have just a few friends, most social networks have at least a few very popular people. Furthermore, most people are closely linked to every other person so that a message (or an idea or a disease) can spread rapidly throughout the network. Finally, social networks tend to be fairly clustered — i.e., if two people share a common friend it is quite likely that they are also friends. This module will discuss the typical structures of social networks, models that explain these structures, and the impact of these structures on activities in the social network such as message routing or the adoption of new technologies.

Two-Sided Matching Markets
Many markets involve two “sides'' that wish to be matched to one another. For example, a marriage market matches women to men; a job market matches workers to employers. In such settings, people on each side have strict preferences over the options on the other side of the market. Hence, a woman Julie may like David best, John second best, and Christopher third. David on the other hand may prefer Mary to Julie. In such settings, what matches might we expect to form? Can these matches be computed by a centralized algorithm, a match-maker for example, and what are the corresponding incentives of the participants? These questions are of fundamental importance as such centralized algorithms are in use in many important markets. In many countries, medical students are matched to hospitals using such algorithms, or school children to schools.

Approximation Algorithms
In the field of algorithms, many tasks turn out to be computationally difficult. That is, the time to complete the task is fundamentally large compared to the size of the problem. For example, consider the problem of finding the optimal way to visit 10 cities, visiting each exactly once. To minimize travel time, one could test all possible travel schedules, but for 10 cities there are already 3.5M of them! Unfortunately, there is not a significantly quicker way to find the optimal solution. However, one can find an approximately optimal solution quickly. That is, with just a few things to check, one can design a schedule that takes at most 50% more time than the optimal one. In this module we showcase a few general techniques for computing approximate solutions to hard problems, including the use of randomization and linear programming.

Graph Theory
A graph is a combinatorial object consisting of nodes and edges, and is a extremely valuable abstraction of many practical problems. For example, nodes might represent jobs and edges might connect pairs of jobs that can not be performed simultaneously. Alternatively, nodes might represent electronic components on a circuit board and edges the wiring that connects them. Many questions that arise in such domains can be cast as an optimization question in the corresponding graph. The number of workers required to complete all jobs in fixed time frame in the first example is at its heart a graph coloring problem. Asking whether one can lay out the circuit board so no two wires cross becomes the problem of determining which graphs have planar representations. This course defines graphs, shows how to solve a few fundamental graph problems, and applies them to practical settings.

Speaker Bios

Nicole Immorlica  is an assistant professor in the Economics Group of Northwestern University's EECS department in Chicago, IL, USA. She joined Northwestern in Fall 2008 after postdoctoral positions at Microsoft Research in Seattle, Washington, USA and Centruum voor Wiskunde en Informatica (CWI) in Amsterdam, The Netherlands. She received her Ph.D. from MIT in Boston, MA, USA, in 2005 under the joint supervision of Erik Demaine and David Karger. Her main research area is algorithmic game theory where she investigates economic and social implications of modern technologies including social networks, advertising auctions, and online auction design.

Kevin Leyton-Brown is an associate professor in computer science at the University of British Columbia, Vancouver, Canada. He received a B.Sc. from McMaster University (1998), and an M.Sc. and PhD from Stanford University (2001; 2003). Much of his work is at the intersection of computer science and microeconomics, addressing computational problems in economic contexts and incentive issues in multiagent systems. He also studies the application of machine learning to the automated design and analysis of algorithms for solving hard computational problems.

John Quinn is a Senior Lecturer in Computer Science at Makerere University. He received a BA in Computer Science from the University of Cambridge (2000) and a PhD from the University of Edinburgh (2007). He coordinates the Machine Learning Group at Makerere, and his research interests are in pattern recognition and computer vision particularly applied to developing world problems.

Denis Wamala

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RIMS Implementation to End Supervision Delays, Enhance Transparency, Close Gaps and Boost Research Excellence at Makerere University

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Prof. Julius Kikooma and Prof. Ruth Nsibirano during the visit to IGDS on 27th March 2026. Directorate of Graduate Training (DGT) digital transformation in graduate education with the implementation of the Research Information Management System (RIMS), a platform expected to end supervision delays, enhance transparency, close long-standing gaps, and boost research excellence, 27th March 2026, Institute of Gender and Development Studies (IGDS), Makerere University, Kampala Uganda, East Africa.

By Moses Lutaaya

Kampala, Uganda27th March 2026: Makerere University has intensified its push toward digital transformation in graduate education with the implementation of the Research Information Management System (RIMS), a platform expected to end supervision delays, enhance transparency, close long-standing gaps, and boost research excellence.

Leading this shift, the Director of Graduate Training at Makerere University, Prof. Julius Kikooma, emphasized that the initiative is part of ongoing collaboration with academic units.

“Our visit to the Institute of Gender and Development Studies is part of continuous engagement to strengthen graduate training,” Prof. Kikooma said. “RIMS is not just about technology—it is about improving how students and supervisors work together, how progress is tracked, and how the university ensures quality and timely completion.”

He noted that the university is already making strides in graduate output, citing a recent milestone of over 200 PhD graduates, with 40 percent female representation—an indicator of progress toward gender equity.

“We want to push that to 50 percent,” he said. “RIMS will help us get there by providing data, improving coordination, and addressing inefficiencies in supervision and monitoring.”

Prof. Kikooma emphasized that the system will also support the university’s broader goals, including internationalization and improved research productivity, by streamlining application, supervision, and reporting processes.

“With digitization now fully underway, we cannot go back,” he said. “RIMS will allow supervisors to track student performance in real time, and management will be able to access accurate reports at the click of a button.”

He added that adoption of the system is mandatory for all academic staff, noting that it will become a key tool for measuring performance and institutional accountability.

Building on this vision, Prof. Ruth Nsibirano, Director of the Institute of Gender and Development Studies, highlighted how RIMS will directly address supervision gaps that have historically affected graduate completion.

“I’m very certain RIMS is going to bridge the gap between supervisors and supervisees,” she said. “It will ensure constant updates, structured engagement, and clear records of progress for every student.”

Prof. Julius Kikooma (L) and Prof. Ruth Nsibirano (R). Directorate of Graduate Training (DGT) digital transformation in graduate education with the implementation of the Research Information Management System (RIMS), a platform expected to end supervision delays, enhance transparency, close long-standing gaps, and boost research excellence, 27th March 2026, Institute of Gender and Development Studies (IGDS), Makerere University, Kampala Uganda, East Africa.
Prof. Julius Kikooma (L) and Prof. Ruth Nsibirano (R).

Prof. Nsibirano explained that one of the major challenges in the past has been the lack of visibility in supervision, where both students and supervisors operated without clear documentation of their interactions.

“Knowledge of what was happening was often missing because supervisors and students remained distant,” she said. “Now, there will be records showing when supervision took place, what was discussed, and who has not been responsive.”

She noted that this transparency will significantly improve efficiency and reduce delays on both sides.

“Both students and supervisors will know that their work is being tracked,” she said. “This awareness alone will improve accountability and reduce unnecessary delays.”

However, she cautioned that while RIMS will strengthen supervision systems, financial challenges facing graduate students remain a critical issue.

“We must also address the reality of limited financial support,” she said. “Even with strong systems, students still need resources to complete their studies.”

Prof. Nsibirano expressed confidence that both staff and students are ready to adopt the digital platform, noting that familiarity with technology is no longer a major barrier.

At the operational level, Dr. Julius Mugisa, Coordinator of Graduate Studies at the Institute, underscored the practical impact RIMS will have on day-to-day supervision.

“In fact, it is a very good system. It will facilitate easy supervision,” Dr. Mugisa said. “Previously, you could send comments to a student and wait five weeks without a response. Now, the system will clearly show who is delaying and who is not.”

He emphasized that the transparency of RIMS will eliminate guesswork and misunderstandings by ensuring that all supervision activities are recorded and accessible.

“There will be clear evidence of engagement—comments, timelines, and responses,” he said. “This removes the blame game and helps everyone focus on progress.”

Dr. Mugisa dismissed concerns that increased monitoring might intimidate supervisors, instead framing it as a positive step toward professionalism.

“We are here to do our work for the university,” he said. “The system is not about punishment—it is about improving efficiency and ensuring that responsibilities are fulfilled.”

He added that the accountability introduced by RIMS will encourage timely feedback and active participation from both supervisors and students.

“When you know the system is tracking progress, it helps you stay on course,” he said. “Monitoring is important, and it benefits everyone.”

Dr. Mugisa also noted that improved supervision and faster feedback could enhance Makerere University’s attractiveness to prospective graduate students.

“Students want assurance that their work will be reviewed on time,” he said. “With RIMS, that confidence will increase, and more students will be encouraged to enroll.”

As Makerere University continues to implement RIMS across its academic units, leaders believe the system will mark a turning point in graduate education—driving efficiency, strengthening accountability, closing supervision gaps, and positioning the institution as a leader in research excellence in Africa.

Mak Editor

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Custodians and Wardens trained on Fire prevention in Halls of Residence

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A male participant puts out a fire during a practical demonstrations on the use of fire extinguishers on 26th March 2026. Office of the Dean of Students hands-on training focused on equipping custodians and wardens with essential skills and knowledge on fire prevention, evacuation procedures and response strategies in case of emergencies in halls of residence, March 26, 2026, at University Hall, Makerere University, Kampala Uganda, East Africa.

Staff members from the Office of the Dean of Students have undergone a hands-on training on fire safety and prevention in halls of residence.

The training, held on Thursday, March 26, 2026, at University Hall, focused on equipping custodians and wardens with essential skills and knowledge on fire prevention, evacuation procedures and response strategies in case of emergencies.

“In our safeguarding initiatives, we want to create an environment that is safe and secure for our students and staff. Given that we have experienced fires at the University, we decided to train custodians and wardens because they are the first responders and decision-makers in case a fire breaks out in any Hall of Residence,” said Dr. Winifred Kabumbuli, the Dean of Students.

Dr. WInifred Kabumbuli addresses participants. Office of the Dean of Students hands-on training focused on equipping custodians and wardens with essential skills and knowledge on fire prevention, evacuation procedures and response strategies in case of emergencies in halls of residence, March 26, 2026, at University Hall, Makerere University, Kampala Uganda, East Africa.
Dr. WInifred Kabumbuli addresses participants.

In 2020, Makerere University’s Main Building, commonly known as the Ivory Tower, caught fire, destroying valuable property. Earlier in 2018, a fire gutted Mary Stuart Hall, a female residence. The fire, which started in the ground-floor canteen, spread to other floors but was successfully contained by the Uganda Police.

Speaking in February 2025 during the release of the 2024 Annual Crime Report at the Police Headquarters in Naguru, the Director of Fires and Rescue Services, AIGP Stephen Tanui, revealed that Kampala Metropolitan recorded the highest number of fire incidents in the Country with 933 cases in 2024.

Participants pose for a group photo at the University Hall Staircase. Office of the Dean of Students hands-on training focused on equipping custodians and wardens with essential skills and knowledge on fire prevention, evacuation procedures and response strategies in case of emergencies in halls of residence, March 26, 2026, at University Hall, Makerere University, Kampala Uganda, East Africa.
Participants pose for a group photo at the University Hall Staircase.

He warned that Uganda’s rapid urbanisation would increase fire incidents unless deliberate prevention measures are adopted.

“We have had fire incidents at Africa Hall, Nsibirwa and Livingstone. Some students also prepare their own meals, which increases the risk of fire outbreaks. It is therefore timely for our staff to acquire basic knowledge on fire prevention and how to respond effectively when a fire occurs,” Dr. Kabumbuli noted.

Speaking to the participants, Mr. Levi Mwesigye, a certified fire safety trainer with NCOSAH Consults (Occupational Safety and Health Administration), emphasized the importance of proactive fire prevention. He explained that three elements, heat, fuel and oxygen are necessary for a fire to exist.

Participants follow proceedings during the theoretical part of training. Office of the Dean of Students hands-on training focused on equipping custodians and wardens with essential skills and knowledge on fire prevention, evacuation procedures and response strategies in case of emergencies in halls of residence, March 26, 2026, at University Hall, Makerere University, Kampala Uganda, East Africa.
Participants follow proceedings during the theoretical part of training.

“Always ensure that fire detection systems are in place to identify fires at an early stage. Additionally, ensure fire protection systems such as portable extinguishers are functional and regularly serviced so that fires can be contained promptly,” advised.

In his presentation, Mr. Mwesigye also urged Wardens to install clear directional signage in Halls of Residence to enhance safety and facilitate quick evacuation during emergencies.

“Fires spread much faster than you might think. Always have a backup escape plan in case your main escape route becomes blocked. If you can’t put out the fire in 5 secondsor less, the fire is too large. Get out and always prioritize persons with disabilities, women, the sick, and other vulnerable individuals to ensure they are evacuated safely,” Mr. Mwesigye, said.

Participants listen to instructions from one of the trainers. Office of the Dean of Students hands-on training focused on equipping custodians and wardens with essential skills and knowledge on fire prevention, evacuation procedures and response strategies in case of emergencies in halls of residence, March 26, 2026, at University Hall, Makerere University, Kampala Uganda, East Africa.
Participants listen to instructions from one of the trainers.

Apart from training the staff about fire safety at the University, the staff also received fire prevention tips applicable to their homes such as;  never to sleep in a house without water, to always have a centralized place where they keep the house key so that it is easy to find during evacuation.

“For those who have gas cylinders at home, in case of a leakage, open doors and windows to reduce the concentration of gas. If the cylinder catches fire, soak a towel or blanket in water and use it to cover the cylinder. This can help to put out the fire,” Mr. Mwesigye explained.

When using a fire extinguisher

Participants received practical demonstrations on the use of fire extinguishers and learned how to identify and manage small-scale fires before they escalate into life-threatening emergencies. Tips included:

  • Stand several feet away from the fire, only moving closer once the fire starts to diminish.
  • Use a slow, sweeping motion and aim the fire extinguisher nozzle at the base of the fire.
  •  If possible, use a “buddy system” to have someone back you up or to call for help if something goes wrong.
  • Be sure to watch the area for a while to ensure the fire does not re-ignite.

Deciding to Use a Fire Extinguisher

Before attempting to put out a fire with a portable fire extinguisher, one must quickly answer the following questions:

  • Have the building’s occupants been notified?
  • Has someone called the Fire Brigade?
  • Are the exit routes clear and safely accessible?
  • Do I have the right type of extinguisher for the type of fire?
  • Is the extinguisher large enough for the fire?
  • Is the fire small and containable?

If the Answer to the above is NO, Then;

  • Leave the building immediately.
  • Shut all doors as you leave to slow the spread of the fire.
  • As soon as you get out of the building, call the Police.

Carol Kasujja
Carol Kasujja Adii

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Makerere University Charts New Future with the unveiling of the Open, Distance and E‑Learning Building and Strategic Plan

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DVCAA-Prof. Sarah Ssali (3rd L) and KOICA Uganda Country Director-Ms. Jihee Ahn (3rd R) flanked by officials unveil the foundation stone for the ODeL Facility on 24th March 2026. Official launch of Open, Distance and E‑Learning (ODeL) Strategic Plan and the laying of the foundation stone for a new ODeL facility at the College of Engineering, Design, Art and Technology (CEDAT), 24th March 2026, Makerere University, Kampala Uganda, East Africa.

By Harriet Musinguzi, CEDAT

Makerere University has embarked on a transformative journey in higher education with the official launch of its Open, Distance and E‑Learning (ODeL) Strategic Plan and the laying of the foundation stone for a new ODeL facility at the College of Engineering, Design, Art and Technology (CEDAT). The event, attended by dignitaries, university leaders, and international partners, marked a milestone in Uganda’s quest to harness digital technology for accessible, innovative, and inclusive education.

Presiding over the ceremony, Ms. Jihee Ahn, Country Director of the Korea International Cooperation Agency (KOICA), underscored the spirit of collaboration that has defined the project. She praised the collective efforts of Korean partners, Makerere’s project management team, and the construction and consulting teams.

Quoting an African proverb, she reminded the audience that “a single stick cannot make fire”, emphasizing that the success of the initiative lies in shared purpose and unity. Drawing from Korean wisdom, she added, “a journey of a thousand miles begins with a single step,” noting that this launch is the first step toward positioning Makerere as a leader in open and distance education across Africa.

“This new building will not be just a physical structure but a driving force that advances our shared vision,” Ms. Ahn said. “KOICA looks forward to continued cooperation with Makerere University and all partners as we move forward together.” she added.

Representing the University Council Chairperson Dr. Lorna Magara, Dr. Silas Ngabirano highlighted the broader significance of the ODeL project. He described it as a turning point in bridging the gap between traditional teaching methods and modern learning needs. “This project is more than just providing technology,” he said. “It’s about enhancing capacity for our students, faculty, and staff. It’s about making education more accessible and affordable, fostering innovation, creativity, and lifelong learning.” He urged staff and students to embrace the opportunities offered by online distance learning, reaffirming the Council’s commitment to supporting initiatives that expand access to higher education.

Prof. Sarah Ssali, (DVC F&A) representing Vice Chancellor Prof. Barnabas Nawangwe, highlights e-learning as a central pillar in Makerere University’s Strategic Plan (2026–2030).

The Vice Chancellor, Prof. Barnabas Nawangwe, represented by Deputy Vice Chancellor for Academic Affairs Prof. Sarah Ssali, emphasized that e‑learning is a central pillar in Makerere’s Strategic Plan (2026–2030). She noted that the initiative aligns with Uganda’s National Development Plan IV, which prioritizes digital transformation by 2030.

“ODeL provides opportunities for students inside and outside Uganda to engage in learning, access cutting-edge research, and participate in innovation and entrepreneurship,” he said. “Now that ODeL is getting a home, there is no excuse for not delivering.”

Dignitaries and stakeholders at Makerere University witness the unveiling of the ODeL Strategic Plan, marking a new chapter in institutional growth and innovation.

Prof. Nawangwe expressed gratitude to KOICA and the people of Korea for the US$12.2 milliongrant, describing it as a testament to Makerere’s reputation as a center of academic excellence and innovation. He also acknowledged the support of Uganda’s Ministry of Education and Sports and the Ministry of Finance, Planning and Economic Development.

Principal Investigator Prof. Henry Alinaitwe makes his remarks alongside members of the project steering committee;  Dr. Venny Nakazibwe (Co-PI), Prof. Paul Muyinda, Dr. Godfrey Mayende, Mr. Samuel Mugabi, Mr. Alex Mwebaze, Dr. Kenneth Ssemwogerere, and Dr. Lydia Mazzi Ndandiko

The Principal Investigator, Prof. Henry Alinaitwe, outlined three core components of the project: the development of the ODeL Masterplan, the enhancement of e‑learning infrastructure through a state‑of‑the‑art facility and modern equipment, and capacity building to equip staff with the skills needed to create high‑quality digital content. He explained that the construction, valued at USD 3.7 million, is being undertaken by SMS Construction Ltd, with designs developed by ArchForum Consultants Ltd, and is scheduled for completion by September 29, 2027.

Prof. Henry Alinaitwe explained that the ODeL Masterplan was developed through a highly consultative process, engaging numerous Makerere University staff and working closely with project consultants to ensure inclusivity and relevance. He expressed deep appreciation to the implementing partners, the Korea National Open University (KNOU) and the Korea Institute ofDevelopment Strategy (KDS) for their invaluable support in making the initiative a success.

Guests and stakeholders who witnessed the launch of Makerere University’s ODeL Strategic Plan and the commissioning of the ODeL building pose for a commemorative photo, March 24th, 2025 at CEDAT.

Prof. Alinaitwe also commended the Makerere University Council for approving the allocation of space and committing to maintain the building and systems once operational. He recognized the dedication of the project implementation team, which includes Dr. Venny Nakazibwe(Co‑PI), Prof. Paul Muyinda, Dr. Godfrey Mayende, Mr. Samuel Mugabi, Mr. Alex Mwebaze, Dr. Kenneth Ssemwogerere, and Dr. Lydia Mazzi Ndandiko, for their tireless efforts in managing the project. He further acknowledged KOICA Country Director Ms. Jihee Ahn for expanding the scope of the project beyond the College of Engineering, Design, Art and Technology (CEDAT) to encompass

Written by Musinguzi Harriet, Principal Communication Officer, College of Engineering, Design, Art and Technology.

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