General

First Makerere Workshop on Social Systems & Computation

Published

15 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

Mak and University of the West of England Sign MoU to Advance Research, Innovation and Skills Development

Published

22 hours ago

October 17, 2025

Eve Nakyanzi

Prof. Barnabas Nawangwe (3rd R) and Ms. Jo Midgley (3rd L) shake hands after signing the MoU as H.E. Nimisha Madhvani (2nd L), H.E. Miriam Otengo (L), Prof. Helen Nambalariwa Nkabala (R) and Mr. Emmanuel Kitamirike (2nd R) witness on 17th October 2025. Makerere University and the University of the West of England (UWE) sign MoU aimed at strengthening collaboration in research, innovation, and enterprise development, 17th October 2025, Main Building, Kampala Uganda, East Africa.

Makerere University and the University of the West of England (UWE) have signed a Memorandum of Understanding (MoU) aimed at strengthening collaboration in research, innovation, and enterprise development. The signing ceremony took place on Friday, 17^th October 2025, in the Vice Chancellor’s Boardroom, Main Administration Building, Makerere University.

The partnership will focus on joint research initiatives in climate science, early childhood development and elderly care, wildlife ecology and conservation management, technology, and sustainable agriculture.

The Uganda High Commissioner to the United Kingdom, H.E. Nimisha Madhvani, who witnessed the signing, congratulated both institutions and reaffirmed the Government of Uganda’s commitment to strengthening international collaborations that enhance education, innovation, and investment.

“We are not only promoting education, but also tourism, business, and investment. This partnership is a great bridge between Uganda and the United Kingdom,” said H.E. Madhvani. “With the full support of His Excellency the President and the First Lady, we look forward to building on this momentum to establish impactful initiatives, including a proposed teaching hospital.”

Prof. Barnabas Nawangwe (R) and Ms. Jo Midgley (L) display the signed MoU. Makerere University and the University of the West of England (UWE) sign MoU aimed at strengthening collaboration in research, innovation, and enterprise development, 17th October 2025, Main Building, Kampala Uganda, East Africa. — ***Prof. Barnabas Nawangwe (R) and Ms. Jo Midgley (L) display the signed MoU.***

Speaking during the event, the Vice Chancellor of Makerere University, Prof. Barnabas Nawangwe, reaffirmed the University’s commitment to producing graduates who are not only employable but also capable of creating jobs and transforming their communities.

“Our goal is to train students who go out to create their own jobs and employ others who have not had the opportunity to attend university,” said Prof. Nawangwe. “We are working seriously on issues of food security, health, and conflict management — particularly in the Great Lakes region, which has one of the highest numbers of conflicts per capita. Through research and collaboration, we aim to address these challenges while ensuring Africa is not left behind in the digital economy.”

Prof. Nawangwe also highlighted Makerere’s initiatives in the digital and peace sectors, including the work of the Rotary Peace Center, which plays a vital role in promoting peace across the world by equipping fellows with academic training, practice, and global networking opportunities through a year-long, blended-learning professional certificate program.

Representing the University of the West of England, the Vice Chancellor Ms. Jo Midgley commended Makerere University for its strong research focus and expressed enthusiasm for the partnership.

“Like Makerere, we are a comprehensive university. We want this partnership to go beyond conversations and translate into action,” she said. “Our areas of strength include sustainability, climate change, future technology, health, and community placemaking. We believe this collaboration offers a unique opportunity to co-create programmes that prepare students for the evolving global workforce.”

Officials from Makerere and UWE pose for a group photo at the Main Building Entrance after the MoU signing. Makerere University and the University of the West of England (UWE) sign MoU aimed at strengthening collaboration in research, innovation, and enterprise development, 17th October 2025, Main Building, Kampala Uganda, East Africa. — ***Officials from Makerere and UWE pose for a group photo at the Main Building Entrance after the MoU signing.***

She further emphasized the need for universities to work closely with industry partners to co-design programs that meet current skill demands while promoting innovation and enterprise among students.

The Deputy High Commissioner, Ambassador Miriam Otengo, commended Makerere for its leadership in higher education and shared ongoing efforts to mobilize the Makerere alumni in the United Kingdom. She also revealed plans to host a Makerere Alumni Symposium in London, aimed at showcasing the University’s excellence and strengthening ties with its diaspora community.

Also in attendance was Mr. Hefin Rees KC, Chairman of Spotlight on Africa, a UK-based charitable organization, who expressed interest in partnering with Makerere University to establish a teaching hospital in Mbale focused on women and children’s health. He praised Makerere for producing world-class professionals and reaffirmed his organization’s commitment to supporting health-related initiatives.

In his closing remarks, Prof. Nawangwe thanked the High Commission for facilitating the partnership and welcomed the opportunity to discuss the proposed teaching hospital, describing it as “a timely and vital project for Uganda’s health sector.”

“This collaboration represents a new chapter for Makerere University and the University of the West of England. Together, we will advance research, promote innovation, and equip our students to respond to global challenges,” he said. The ceremony concluded with the formal signing of the MoU, marking the beginning of a long-term partnership built on shared values of excellence, innovation, and community impact.

General

Makerere is No.1 in the Region – THE University Rankings

Published

1 day ago

October 17, 2025

Mak Editor

Prof. Sarah Ssali (3rd Left) with Left to Right: Mr. Matthias Ssemanda, Dr. Cyprian Misinde, Prof. Julius Kikooma, Dr. Winifred Kabumbuli, and Prof. Robert Wamala during the press briefing held on 16th October 2025. Vice Chancellor's Boardroom, Main Building, Makerere University, Kampala Uganda, East Africa.

The Acting (Ag.) Vice Chancellor, Prof. Sarah Ssali on Thursday 16^th October, 2025 held a press conference to update members of the Media on the 2026 World University Rankings by Times Higher Education (THE).

The event held in the Vice Chancellor’s Boardroom, Main Building, was attended by the Director Graduate Training-Prof. Julius Kikooma, Director Quality Assurance-Dr. Cyprian Misinde, Dean of Students-Dr. Winifred Kabumbuli, Director Research, Innovations, and Partnerships-Prof. Robert Wamala, Deputy Chief – Public Relations-Ms. Eunice Rukundo, Ag. Manager International Relations-Mr. Matthias Ssemanda, and staff from the Offices of the Vice and Deputy Vice Chancellors.

The proceedings of the Press Conference follow below;

Vice Chancellor’s Press Statement

UNIVERSITY RANKINGS: MAKERERE STILL NUMBER ONE IN THE REGION

It gives me great pleasure to share with our stakeholders and the general public that Makerere University has been ranked Number 1. in the East African region, in the Times Higher Education rankings released this month of October 2025.

In its 2026 World University Rankings, Times Higher Education (THE) places Makerere University in top position in East Africa, and in the 801-1000 band globally. The ranking considers five performance indicators, namely: Teaching; Research environment; Research quality; International Outlook; and Industry. Makerere’s overall score was 37.2, significantly outperforming peer institutions in the Region that average scores of 18.8.

In particular, Makerere University continues to thrive in Research Quality where we scored 54.2% but even better in International Outlook where we scored highest with 69.7%. See Table 1 for details. On the continent, Makerere University ranked 8^th in the 2024 Sub-Saharan African University Rankings.

We would like to reassure all stakeholders and well-wishers that Makerere University continues to hold steadfast as the regional leader in higher education. Our commitment to deliver excellence in our teaching, research, and socioeconomic impact has not wavered.

WE BUILD FOR THE FUTURE.

Thank you.

Fact Sheet

UNIVERSITY RANKINGS

Table 1: East African Universities – 2025 Ranking Comparison

Rank	Name	Overall	Teaching	Research Env.	Research Quality	Industry	Int. Outlook
801–1000	Makerere University	35.5–38.9	21.5	26.6	54.2	32.8	69.7
1501+	Kenyatta University	10.3–27.2	14.3	9.1	34.2	17.4	54.6
1501+	Muhimbili University of Health and Allied Sciences	10.3–27.2	21.6	14.9	30.3	27.5	54.6
1501+	University of Dar es Salaam	10.3–27.2	14.5	11.1	26.5	21.9	47.2
1501+	University of Nairobi	10.3–27.2	15.9	16.1	39.7	22.5	49.4
1501+	University of Rwanda	10.3–27.2	14.1	14.9	25.6	21.1	57.5

***Figure 1: Makerere University Performance over ten (10) years***

End

Makerere-Vice-Chancellor-Press-Statement-University-Rankings-16thOct2025 Download

General

ZAMREN Board Visits Mak, Discusses AI

Published

3 days ago

October 15, 2025

Mark Wamai

Prof. Sarah Ssali and Prof. Mundia Muya (C) with Members of Management, the ZAMREN delegation and other officials after the courtesy call on 14th October 2025. Zambia Research and Education Network (ZAMREN) Board led by the Chairperson, Prof. Mundia Muya courtesy call on the Vice Chancellor, 14th October 2025, Main Building, Kampala Uganda, East Africa.

The Board of the Zambia Research and Education Network (ZAMREN) led by the Chairperson, Prof. Mundia Muya on 14^th October 2025 paid a courtesy call on the Vice Chancellor, Makerere University. The Board which is on a two-day exposure visit to the Research and Education Network of Uganda (RENU) was received by the Acting (Ag.) Vice Chancellor and Deputy Vice Chancellor (Academic Affairs), Prof. Sarah Ssali in the Vice Chancellor’s Boardroom.

The Chairperson was accompanied by Mr. Ronald Hatoongo and Mr. Stein Mkandawire, the Board Secretary and CEO of ZAMREN respectively, as well as RENU’s CEO-Mr. Nicholas Mbonimpa and RENUMESH Technologies CEO-Mr. Brian Masiga. In attendance were Mr. Samuel Mugabi-Director DICTS, Prof. Robert Wamala-Director Research, Innovations and Partnerships (DRIP), and Prof. Tonny Oyana-Principal College of Computing and Information Sciences (CoCIS).

Also present were; Prof. Paul Birevu Muyinda-Director Institute of Open, Distance and eLearning (IODeL), Dr. Godfrey Mayende-Deputy Director IODeL, Dr. Michael Walimbwa- College of Education and External Studies (CEES), Dr. Cathy Mbidde- Ag. Manager. Makerere University Innovation Pod, Ms. Eunice Rukundo-Deputy Chief-Public Relations and staff from the Office of the Vice Chancellor.

In her welcome remarks, Prof. Ssali thanked the ZAMREN Board for including the courtesy call on their Kampala itinerary and extended warm greetings from the Vice Chancellor, Prof. Barnabas Nawangwe. She noted that Makerere as a founding member of RENU has enjoyed a mutually beneficial collaboration, that has benefited both staff and students in the form of supporting growing connectivity needs, as well as training, mentorship, and development of technical skills for both continuing students and graduates.

Prof. Sarah Ssali (R) presents an assortment of Mak Souvenirs to Prof. Mundia Muya (L). Zambia Research and Education Network (ZAMREN) Board led by the Chairperson, Prof. Mundia Muya courtesy call on the Vice Chancellor, 14th October 2025, Main Building, Kampala Uganda, East Africa. — ***Prof. Sarah Ssali (R) presents an assortment of Mak Souvenirs to Prof. Mundia Muya (L).***

Turning to the gist of the courtesy call, the Acting Vice Chancellor noted that the Makerere University through the Centre for Artificial Intelligence (MAK-AI) seeks to harness the transformative power of AI to address society’s most pressing challenges. “Projects undertaken by our Centre tackle real-world challenges in health, agriculture, languages, and beyond.”

Prof. Ssali nevertheless underscored the importance of upholding ethics in all AI undertakings “Mindful of global trends elsewhere, the work of the Makerere AI Centre is guided by the principles of Responsible AI, ensuring that systems are transparent, accountable, fair, and designed to benefit society.”

She therefore called upon the delegation to thoughtfully engage with the ideas presented during their visit with the aim of collectively exploring both institution can better equip staff and students to meaningfully make the most of this fast-evolving trend.

On behalf of the Board, Prof. Muya who is substantively the Vice Chancellor of the University of Zambia thanked Prof. Ssali and Members of Management present for according his delegation a warm reception to Makerere University, “one of Africa’s most distinguished centres of higher learning.

“Makerere University is not only a symbol of academic excellence but also a beacon of leadership in higher education on the African continent”, remarked Prof. Muya.

The Chairperson equally expressed the delegation’s keenness to understand how AI is being adopted, and how the academia is embracing the technology as an enabler of teaching and research. “At ZAMREN, we view digital transformation and AI integration as critical enablers of academic excellence, efficiency, and competitiveness across higher education institutions,” he remarked, adding that “We therefore look to Makerere University’s experience to draw practical lessons that can inform and inspire our efforts back home.”

Prof. Mundia Muya headed the ZAMREN delegation. Zambia Research and Education Network (ZAMREN) Board led by the Chairperson, Prof. Mundia Muya courtesy call on the Vice Chancellor, 14th October 2025, Main Building, Kampala Uganda, East Africa. — ***Prof. Mundia Muya headed the ZAMREN delegation.***

Turning to the lessons from Makerere in line with digital transformation and ICT, the Director DICTS shared that owing to the partnership with RENU, internet bandwidth, a vital enabler of AI transformation currently stands at 5 Gbps of monthly consumption, with plans to scale-up to 8 Gbps. He added that RENU has also facilitated Makerere’s access to Open Libraries, and Eduroam – a secure, encrypted Wi-Fi network across to staff and students freely access the internet across partner institutions in Uganda using their University emails.

Furthermore on the enablers of AI integration, Mr. Mugabi noted that in line with digitalization of institutional business process, the University Council took a bold step to develop all information systems in-house, a move that has reduced costs spent on offshore solutions, and hemorrhage of skills. He pointed to the introduction of open source solutions, and AI policy and global collaborations with corporations such as Google as additional enablers.

Addressing AI readiness, Prof. Tonny Oyana pointed out the need for the University of Zambia to start early, citing Makerere efforts which began as far back as 2007, when Dr. John Quinn joined the institution after his PhD. He added that Dr. Quinn together with other former staff from Makerere formed Sunbird AI, a thriving initiative creating practical systems for the benefit of community.

Prof. Oyana also pointed to AI initiatives that have attracted up to USD 5million from Google Awards, staff with specialized skills in the creation and development of sensor technologies, top notch students that win continental and global awards from companies such as Huawei, and active engagements with partners to produce solutions to enhance diagnosis of malaria, tuberculosis and cancer as some of areas that demonstrate Makerere’s AI readiness.

The meeting in session. Zambia Research and Education Network (ZAMREN) Board led by the Chairperson, Prof. Mundia Muya courtesy call on the Vice Chancellor, 14th October 2025, Main Building, Kampala Uganda, East Africa. — ***The meeting in session.***

Addressing academic and research innovation, Prof. Robert Wamala pointed out that Makerere, in recognition that the institution cannot achieve its vision alone is intentional about seeking and nurturing mutually beneficial partnerships. Furthermore, he shared that Vice Chancellor’s Annual Research Excellence Awards reward and recognize the efforts of staff who have excelled in publication, teaching and winning grants.

The Director DRIP equally underscored the need for dissemination of research produced by staff and students, pointing out the annual research and innovation week as a flagship event for not only showcasing research but also forging meaningful partnerships with stakeholders. In line with technology transfer, Prof. Wamala said that the University through the Intellectual Property Management Office ensures that innovations developed by staff and students packaged for adoption by other individuals or organisations.

Addressing the use of technologies in academic work, Prof. Birevu noted that IODeL conducts capacity building in instructional design, online facilitation, use of AI in teaching and digital assessments. “We have also advised the University on ODeL and Distance Education strategies, for instance, we have developed a ten-year masterplan for distance education with support from the Korean Government to outline how Makerere University is going to integrate distance education within its offering” he added.

At the close of the deliberations the ZAMREN expressed sincere appreciation to the Ag. Vice Chancellor and Members of Management for the free sharing that pointed out a number of priorities.