Uppsala University warmly welcomes the CoreAI members to our historic city. During this two day workshop, we will plan how we can move Europe and Africa forward together in Artificial Intelligence and Computational Thinking research.
All Uppsala researchers are welcome and encouraged to join. This is a chance to start new research projects and hear about new AI research. To participate, please send an email to Kajsa Hallberg-Adu (kajsa.hallberg.adu@antro.uu.se) stating also if you would like to present 5 or 10 minutes on your research.
Thursday 16th of November (Day 1)
Morning session: Get to know each other
Room 100155, Theatrum Visuale, Ångström Laboratory
8:45 Taxis from hotel to Ångström.
9:15 – 9:30 Welcome by Robin Strand (Head of Department of information Technology, Uppsala)
9:30 – 10:20 Presentations by cluster members (5 minutes each!)
Large-scale AI and Language Models
9:30 Solomon Gizaw Tulu (University of Addis Abeba) Current AI Researches in Ethiopia.
9:35 Ekta Vats (Department of Information Technology, University of Uppsala) Efficient text modelling and recognition at scale
9:40 Joyce Nakatumba-Nabende (Makerere University) Large Language Models for Multilingual Localised and Targeted Agricultural Advisory to Smallholder Farmers
Maths, IT and AI
9:55 John Mango Magero (Makerere University) Eastern Africa regional collaboration in Mathematics since 2002
10:00 Maria Andreina Francisco Rodriguez (Department of Information Technology, Uppsala) Discrete Optimisation Using AI
10:05 Patrick Weke Oloo (University of Nairobi) Data Science and AI Training at the University of Nairobi through APHREA-DST Project
10:20 -11:00 Coffee break (jointly with Division of System and Control)
11:00 – 12:30 Presentations by cluster members (5 minutes each!)
AI in life sciences
11:00 Ola Uthman (University of Warwick) AI-based solutions for Global Health.
11:05 Ozlem Tastan Bishop (Rhodes University) Dynamic residue networks and computational drug discovery.
11:10 Prashant Singh (Department of Information Technology, University of Uppsala) Scientific Machine Learning and Data-Driven Science.
11:15 Timothy Kamanu (University of Nairobi) TBA
AI in society
11:30 Chika Yinka-Banjo (University of Lagos) Research snippets
11:35 Andrey Shternshis Fairness and bias-aware Machine Learning and Statistical Experiments
11:40 Ranjula Bali Swain (Center for Sustainable Research, Stockholm) Sustainable Development Goals Monitoring and Interlinkages with AI and Machine Learning.
11:45 Victor Temitope Odumuyiwa (University of Lagos ) A Data-Driven Approach for Equipment Failure Prediction in a Distributed Network
Computational thinking
12:00 Francesco Petruccione (Stellenbosh University) TBA
12:05 David Sumpter (Uppsala University) Mathematics in football
12:30 – 14:00 Lunch, Rullan
Afternoon session: Research brainstorming
14:00 – 15:30 During this session we will rotate three times into different constellations of researchers. You will brainstorm together and produce a title and three bullet points outlining an exciting new research project. This will produce 9 brainstormed research projects. (Rooms 101170, 101174 and 101180)
PhD students and junior researchers will have a separate group led by Lovisa Eriksson.
15:30 – 16:00 Tea break
16:00 – 16:45 5-minute presentation of each of the 9 brainstorming sessions. Decide on 3 projects to work on. (Room 100155, Theatrum Visuale)
16:45 Taxis to the cathedral (or hotel)
Social activity: Tour of Cathedral
17:00 – 17:45 Core AI’s Kajsa Hallberg Adu gives us an exclusive insight in to the history of Uppsala’s cathedral and the surrounding area.
18:00 – 18:50 Time at hotel to prepare for dinner.
18:50 Meet at hotel to go to restaurant.
19:00 – late Dinner. Swedish traditional food.
Friday 17th of November (Day 2)
Morning session: Masterclass in Responsible AI, bias and fairness
This Masterclass is open to all, especially Masters and PhD students are encouraged to come along.
Room 100155, Theatrum Visuale, Ångström Laboratory
8:45 Taxis from hotel to Ångström.
9:15 – 12:00 A half-day introduction to responsible AI and bias in machine translation models for African languages, in particular. Currently, there is significant growth in the area of building Natural Language Processing (NLP) tools for African languages, despite the lower availability of explicit text data than for English. In this workshop we introduce concepts on Responsible AI and then dive into the building of models for machine translation models for African languages. We then discuss the approach taken to evaluate and quantify the gender bias within a Luganda-English machine translation system using Word Embeddings Fairness Evaluation Framework (WEFE).
Teachers: Dr. Joyce Nakatumba-Nabende (Makerere University) and Dr. Andrew Katumba (Makerere University)
Notebook: Github here
12:30 – 14:00 Lunch and taxis to Carolina Redoviva
Afternoon session: Let’s do this!
AI4Research, Carolina Redoviva.
14:00 – 15:00 Out of the brainstormed ideas (or others) we start sketching research projects (work in 3 groups, although movement between groups permitted).
15:00 – 15:30 Tea break
15:30 – 16:30 Masterclass planning and/or continued research proposal development.
Aim: