General

First Makerere Workshop on Social Systems & Computation

Published

16 years ago

November 29, 2010

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.

General

Makerere’s Research Billions Offer MUST a Blueprint for Managing Grants

Published

8 hours ago

July 24, 2026

Allan Ainematsiko

Makerere Vice Chancellor Prof. Barnabas Nawangwe (right) with MUST Vice Chancellor Prof. Pauline Byakika-Kibwika (left) with the members during a benchmarking visit.

When a delegation from Mbarara University of Science and Technology (MUST) visited Makerere University on 23rd July 2026, one of the biggest discussions was how universities can effectively manage research grants.

The MUST delegation, led by Vice Chancellor Prof. Pauline Byakika Kibwika, visited Makerere to learn from the University’s experience in managing externally funded research projects. During the meeting, Makerere Vice Chancellor Prof. Barnabas Nawangwe revealed that while MUST managed research grants worth about UGX 13 billion in the last financial year, Makerere’s research portfolio now stands at approximately USD 250 million.

The discussion focused on the systems, policies and accountability measures that have enabled Makerere to manage one of the largest research portfolios in Africa.

Research Funding Built on Trust.

Prof. Nawangwe explained that Makerere’s research funding comes from different colleges and research units.

He noted that the Infectious Diseases Institute (IDI) alone attracts about USD 70 million annually, while the School of Public Health receives approximately USD 30 million each year. Together, the two units account for nearly USD 100 million in research funding.

He said these grants are made possible because development partners trust the University to manage public resources responsibly.

“We must ensure proper accountability so that we don’t lose the trust of our donors and continue benefiting from their support,” Prof. Nawangwe said.

How Makerere Manages Research Grants.

Acting University Secretary Mr. Simon Kizito took the MUST delegation through the key requirements that every grant funded project must meet under Makerere’s Grants Administration and Management Support Unit (GAMSU).

He explained that every research project must first be included in the University’s approved budget in line with the Public Finance Management Act before any funds can be spent.

He also emphasized that procurement under research grants must comply with the Public Procurement and Disposal of Public Assets (PPDA) Act, regardless of the donor’s procurement guidelines.

“The Auditor General will pounce on you” if procurement procedures are not followed, he cautioned.

Mr. Kizito further explained that all assets purchased using grant funds, including vehicles and equipment, must be recorded in the University’s central assets register unless the funding agreement states otherwise.

He added that separate project bank accounts can only be opened with approval from the Accountant General, while all projects must submit both financial and narrative reports to funders and government and undergo regular audits.

University Bursar Mr. Evarist Bainomugisha noted that although grant funds do not appear directly in the University’s main financial statements, they are fully disclosed in the notes to the accounts and are audited annually before reports are submitted to Parliament.

Lessons from the Research and Innovation Fund.

The delegation also learnt about the Makerere Research and Innovations Fund (Mak-RIF).

Representing the Fund, Dr. Roy William Mayega said Mak-RIF has invested about UGX 172 billion in research and innovation over the last seven financial years.

He explained that 70 percent of the funding supports competitive research grants, 10 percent is reserved for projects addressing national priorities, while the remaining funds support monitoring, evaluation and dissemination of research findings.

According to Dr. Mayega, the Fund has so far supported 1,480 research and innovation projects, with 53% completed and 47% still ongoing.

Looking Beyond Research Grants.

Director of Research, Innovation and Partnerships Prof. Robert Wamala encouraged the visiting delegation to look beyond simply winning research grants.

He emphasized the importance of investing in strong internal systems, using artificial intelligence to improve efficiency, and ensuring that research leads to publications, patents, commercialization and partnerships with industry.

He noted that universities should not only focus on attracting grants but also on translating research into solutions that benefit society.

Learning from Makerere’s experience.

Prof. Pauline Byakika Kibwika said MUST recently established a Research Institute to coordinate research activities and grant management under one structure. She explained that the University wanted to learn from Makerere’s experience as its own research portfolio continues to grow.

“We have come to learn from your achievements as well as the challenges, so that we can do things better,” she said.

She added that the visit marks the beginning of closer collaboration between the two institutions, with a follow up technical engagement planned to allow the MUST team to learn more about Makerere’s grant management systems, including the GAMSU online platform.

General

Makerere, Southwest Minzu University and NARO Forge Strategic Partnership to Advance Livestock Research and Innovation

Published

9 hours ago

July 24, 2026

Caroline Kainomugisha

Prof. Sarah Ssali gifting the Vice President, Southwest Minzu University. DVCAA Professor Sarah Ssali receives delegation from Southwest Minzu University, China, led by the Vice President, Professor Yang Sheng-Tao, for a high-level meeting focused on academic collaboration and joint capacity development in animal husbandry and veterinary medicine, 23rd July 2026, Main Building, Makerere University, Kampala Uganda, East Africa.

Makerere University has taken a significant step towards strengthening international research collaboration following a high-level meeting with a delegation from Southwest Minzu University, China, to advance a strategic partnership in animal husbandry, veterinary sciences and agricultural innovation.

Held on 23^rd July 2026, the meeting brought together representatives from Makerere University, College of Veterinary Medicine, Animal Resources and Biosecurity (CoVAB), the Advancement Office, Southwest Minzu University and the National Agricultural Research Organisation (NARO) to discuss a long-term collaboration aimed at enhancing livestock productivity, promoting scientific research and building institutional capacity.

The proposed partnership builds on an earlier study visit by NARO to Southwest Minzu University, where discussions identified opportunities to introduce high-quality goat breeds with superior genetic traits for crossbreeding with indigenous Ugandan breeds. The initiative positions Uganda as the first country in Africa to benefit from the introduction of these specialised breeds, with the goal of improving livestock productivity and supporting farmers’ livelihoods.

Prof. Sarah Ssali addressing the delegates during the meeting. DVCAA Professor Sarah Ssali receives delegation from Southwest Minzu University, China, led by the Vice President, Professor Yang Sheng-Tao, for a high-level meeting focused on academic collaboration and joint capacity development in animal husbandry and veterinary medicine, 23rd July 2026, Main Building, Makerere University, Kampala Uganda, East Africa. — ***Prof. Sarah Ssali addressing the delegates during the meeting.***

While livestock improvement forms the foundation of the collaboration, partners agreed that the five-year initiative will extend far beyond animal husbandry. The partnership is expected to foster joint research in agro-technology, biotechnology, artificial intelligence, microbiology and laboratory sciences, creating new opportunities for scientific innovation and knowledge exchange. The project will be anchored at NARO’s Kawanda research facilities before expanding to twelve research institutions across Uganda, with Makerere University providing academic leadership, scientific expertise and research support.

Welcoming the delegation, the Deputy Vice Chancellor (Academic Affairs), Prof. Sarah Ssali, reaffirmed Makerere University‘s commitment to international collaboration as a driver of research excellence, innovation and capacity development. She noted that the University, through the advancement office, continues to leverage its extensive global partnerships to facilitate knowledge exchange while addressing national development priorities through research.

Prof. Ssali further observed that introducing improved goat breeds presents an opportunity to transform Uganda’s livestock sector by enabling farmers to move beyond subsistence production towards more commercially viable animal husbandry systems. She emphasized that the success of the partnership will depend on effective coordination, well-defined institutional frameworks and sustained communication among all partners.

Speaking on behalf of Southwest Minzu University, the visiting delegation expressed appreciation for Makerere University‘s hospitality and reaffirmed their commitment to establishing a lasting institutional partnership with both Makerere University and NARO. Beyond collaborative research, the delegation highlighted opportunities for staff exchanges, joint scientific projects and postgraduate training, including scholarships for Makerere students pursuing Master’s and PhD programmes. They also extended an invitation to Makerere University‘s leadership to undertake a reciprocal visit to Southwest Minzu University in China.

The Vice President of Southwest Minzu University addressing the meeting. DVCAA Professor Sarah Ssali receives delegation from Southwest Minzu University, China, led by the Vice President, Professor Yang Sheng-Tao, for a high-level meeting focused on academic collaboration and joint capacity development in animal husbandry and veterinary medicine, 23rd July 2026, Main Building, Makerere University, Kampala Uganda, East Africa. — ***The Vice President of Southwest Minzu University addressing the meeting.***

Discussions also focused on operationalizing the partnership for the benefit of International education through staff and student exchange. Makerere University‘s International Office committed to developing an implementation framework linking Makerere University and Southwest Minzu University, while ensuring that staff and postgraduate students benefit from scholarship opportunities, research collaborations and international mobility programmes. The Office will also coordinate the development of exchange guidelines and work with the Academic Registrar on postgraduate scholarship applications.

The meeting concluded with a shared commitment to building a sustainable partnership that combines international expertise with Uganda’s research priorities. By bringing together Makerere University‘s academic excellence, Southwest Minzu University’s specialized expertise and NARO’s national agricultural research infrastructure, the collaboration is expected to strengthen livestock research, advance scientific innovation and contribute to Uganda’s agricultural transformation.

Expected Outcomes of the Partnership

The proposed collaboration between Makerere University, Southwest Minzu University and the National Agricultural Research Organisation (NARO) is expected to create a strong platform for advancing research, innovation and capacity development in Uganda’s agricultural sector. By combining the complementary strengths of the three institutions, the partnership seeks to promote multidisciplinary research in animal husbandry, biotechnology, agro-technology, artificial intelligence and microbiology, while supporting the development of innovative solutions to address challenges in livestock production and animal health.

A photo of the meeting in session. DVCAA Professor Sarah Ssali receives delegation from Southwest Minzu University, China, led by the Vice President, Professor Yang Sheng-Tao, for a high-level meeting focused on academic collaboration and joint capacity development in animal husbandry and veterinary medicine, 23rd July 2026, Main Building, Makerere University, Kampala Uganda, East Africa. — ***A photo of the meeting in session.***

A key anticipated outcome is enhanced academic and research capacity through joint research initiatives, staff exchanges and postgraduate training opportunities. The partnership is expected to provide Makerere University students with access to Master’s and PhD scholarships at Southwest Minzu University, while enabling researchers and academic staff to participate in collaborative research, scientific exchange programmes and international knowledge-sharing initiatives. These engagements are expected to strengthen institutional research capacity and foster the development of highly skilled professionals in veterinary and agricultural sciences.

The collaboration is also expected to strengthen the link between research and practice. With NARO serving as the implementation anchor for field-based activities and Makerere providing academic and scientific leadership, the partnership aims to facilitate the translation of research into practical innovations that improve livestock productivity, enhance food security and contribute to sustainable agricultural development in Uganda.

At the institutional level, the partnership is expected to expand Makerere University‘s international research networks, attract collaborative research opportunities and reinforce its position as a leading research-intensive university. By fostering long-term collaboration across academia, research institutions and international partners, the initiative has the potential to contribute to Uganda’s agricultural transformation while advancing knowledge generation, technology transfer and evidence-based innovation.

Caroline Kainomugisha is the Communications Officer, Advancement Office.

General

MUST Benchmarks Makerere’s Grants Management System

Published

1 day ago

July 23, 2026

Mark Wamai

Seated L-R: Prof. Sylvia Nannyonga-Tamusuza, Mr. Simon Kizito, Prof. Barnabas Nawangwe, Prof. Pauline Byakika-Kibwika, Prof. Joseph Ngonzi, Prof. Robert Bitariho, and Ms. Robinah Nakakeeto with Makerere Management and the rest of the MUST delegation (Standing) on 23rd July 2026. Vice Chancellor, Prof. Barnabas Nawangwe and Members of Management host delegation from Mbarara University of Science and Technology (MUST) led by the Vice Chancellor Prof. Pauline Byakika-Kibwika to benchmark the Grants Management System, 23rd July 2026, Makerere University, Kampala Uganda, East Africa.

The Vice Chancellor, Prof. Barnabas Nawangwe and Members of Management on 23^rd July 2026 hosted a delegation from Mbarara University of Science and Technology (MUST) led by the Vice Chancellor Prof. Pauline Byakika-Kibwika. The visit follows the formation of the Grants Office under the newly opened MUST Research Institute. This delegation was therefore keen to benchmark Makerere University’s Grants Administration and Management Support Unit (GAMSU)’s experience as the office responsible for managing all MUST’s research and innovation funding takes shape.

Welcoming the delegation, most of whom are alumni of Makerere University, the Vice Chancellor Prof. Barnabas Nawangwe commended MUST on strides made in human capacity development throughout the 37 years of existence, particularly in the health sciences.

Prof. Pauline Byakika-Kibwika signs the Visitors' Book during her courtesy call on Prof. Barnabas Nawangwe in his office. Vice Chancellor, Prof. Barnabas Nawangwe and Members of Management host delegation from Mbarara University of Science and Technology (MUST) led by the Vice Chancellor Prof. Pauline Byakika-Kibwika to benchmark the Grants Management System, 23rd July 2026, Makerere University, Kampala Uganda, East Africa. — ***Prof. Pauline Byakika-Kibwika signs the Visitors’ Book during her courtesy call on Prof. Barnabas Nawangwe in his office.***

“We have collaborated in various areas, particularly in medicine – I see many of our researchers publishing together, and we have joint programmes, especially in HIV/AIDS research” the Vice Chancellor remarked, before adding “Our collaboration in medicine is very strong, and it would be good to expand this collaboration to other disciplines.”

Prof. Nawangwe emphasized that although this was a benchmarking visit, the learning process is two-way and as such, the team from Makerere is equally keen to learn from their MUST counterparts. “As a slightly smaller university, you may have more time to reflect on issues than we do,” he explained.

Prof. Barnabas Nawangwe (L) presents the Makerere@100 Coffee Table Book to Prof. Pauline Byakikia-Kibwika (R). Vice Chancellor, Prof. Barnabas Nawangwe and Members of Management host delegation from Mbarara University of Science and Technology (MUST) led by the Vice Chancellor Prof. Pauline Byakika-Kibwika to benchmark the Grants Management System, 23rd July 2026, Makerere University, Kampala Uganda, East Africa. — ***Prof. Barnabas Nawangwe (L) presents the Makerere@100 Coffee Table Book to Prof. Pauline Byakikia-Kibwika (R).***

In her remarks, Prof. Byakika-Kibwika thanked the Vice Chancellor and University Management for accepting to host the benchmarking delegation, noting that it was a homecoming visit for her and several colleagues. She equally acknowledged that collaborations in Medicine take the lion’s share of existing work between two intuitions.

“Our largest faculty, formerly the Faculty of Medicine, has recently been renamed the Faculty of Health Sciences to better reflect its broader mandate. However, our other faculties include: Faculty of Science, Faculty of Business and Management Sciences, Faculty of Interdisciplinary Studies, Faculty of Computing and Informatics, and the Faculty of Applied Sciences and Technology (Engineering)” she explained.

Prof. Pauline Byakikia-Kibwika revels in the colours of her Alma mater. Vice Chancellor, Prof. Barnabas Nawangwe and Members of Management host delegation from Mbarara University of Science and Technology (MUST) led by the Vice Chancellor Prof. Pauline Byakika-Kibwika to benchmark the Grants Management System, 23rd July 2026, Makerere University, Kampala Uganda, East Africa. — ***Prof. Pauline Byakikia-Kibwika revels in the colours of her Alma mater.***

She added that in 2026, MUST established the Faculty of Agriculture, Environment and Veterinary Sciences, and is restructuring the Faculty of Interdisciplinary Studies to strengthen its focus as a science and technology university. Away from academia, Prof. Byakika-Kibwika shared that MUST’s hitherto semi-autonomous research centres had been brought under the umbrella of a Research Institute, “to provide a coordinated framework for research.”

They include the Centre of: Pharmaceutical Biotechnology and Traditional Medicine; Innovation and Technology Transfer; Tropical Forest Conservation; Maternal, Newborn and Child Health; Entrepreneurship; and Public Policy and Economic Data.

Turning to the gist of the visit, Prof. Byakika-Kibwika noted that as MUST continues to restructure its units and grow it’s grants portfolio, tapping into Makerere University’s wealth of experience in attracting and managing funding from both the Government and development partners is inevitable.

The meeting in session. Vice Chancellor, Prof. Barnabas Nawangwe and Members of Management host delegation from Mbarara University of Science and Technology (MUST) led by the Vice Chancellor Prof. Pauline Byakika-Kibwika to benchmark the Grants Management System, 23rd July 2026, Makerere University, Kampala Uganda, East Africa. — ***The meeting in session.***

“Makerere, as the leading university in the country, continues to support other universities, and we would like to benefit from that experience,” Prof. Byakika-Kibwika remarked. “We hope to learn from both your achievements and your challenges so that we can improve our own systems” she concluded.

The meeting was attended by the Acting University Secretary-Mr. Simon Kizito, University Bursar-Mr. Evarist Bainomugisha, Director Research, Innovation and Partnerships-Prof. Robert Wamala, Director Research and Graduate Training-Prof. Julius Kikooma, Head GAMSU- Prof. Sylvia Antonia Nakimera Nannyonga-Tamusuza, Member of Makerere University Research and Innovations Fund (Mak-RIF) Coordinator-Dr. Roy William Mayega and Advancement Office’s Mr. Vincent Lubega Nsamba.

The MUST delegation included; Deputy Vice Chancellor (Academic Affairs)-Prof. Joseph Ngonzi, Deputy Vice Chancellor (Finance and Administration)-Prof. Robert Bitariho, University Secretary-Mr. Vincent Kansiime Kwatampora, and Chief Human Resources Officer-Mr. Prinari Behangana. Others included Finance Manager-CPA Annah Atuhaire, MUST Research Institute Chief Research Officer-Assoc. Prof. Angella Musiimenta, Principal Legal Officer-Mr. Timothy Mugumya, Deputy Secretary (Planning)-Ms. Robinah Nakakeeto and Dean Faculty of Business and Management Sciences-Dr. John Baguma Kule.