Event schedule

Before the event

In order for smooth running of the event, we require that all participants adequately prepare before arriving at the event. We will use Python as the main programming language for demonstration of concepts covered in the summer school. As part of the preparation, software installation and and some light reading outlined below is recommended. Please download and install Anaconda python distribution, version 3.6 and above.

All times are in GMT+3 (Kampala time)

July 24, 2020

Day 1
Welcome and opening remarks
EN

  • Billy Okal Voyage Auto

  • Joyce Nabende Makerere University

Introduction to Python & Jupyter Environment
EN

  • Neema Mduma Nelson Mandela African Institute of Science and Technology

  • Claire Babirye UTAMU

Classification and Regression
EN

  • Mike Smith Sheffield University

[[[ Break ]]]

The best time to talk with speakers and attendees through the chat app

Machine Learning Systems, Streaming Data
EN

  • Neil Lawrence University of Cambridge

  • Andrei Paleyes University of Cambridge

  • Eric Meissner University of Cambridge

Data Visualization : Communicating Insights and Results Effectively
EN

  • Claire Babirye UTAMU

  • Hewitt Tusiime Makerere University

  • Dorothy Kabarozi Makerere University

July 25, 2020

Day 2
Anomaly Detection
EN

  • Tom Dietterich Oregon State University

  • Irene Tematelewo Oregon State University

  • Tadesse Zemicheal Oregon State University

Trans-African HydroMeteorological Observatory (TAHMO)
EN

  • Tom Dietterich Oregon State University

  • Irene Tematelewo Oregon State University

  • Tadesse Zemicheal Oregon State University

Introduction to Deep Learning
EN

  • Andreas Damianou Amazon

[[[ Break ]]]

The best time to talk with speakers and attendees through the chat app

Introduction to Process Mining: Data Science in Action
EN

  • Joyce Nabende Makerere University

Introduction to Deep Learning II
EN

  • Benjamin Akera MILA & Makerere University

Deep Learning Practicals
EN

  • Benjamin Akera MILA & Makerere University

  • Andreas Damianou Amazon

July 28, 2020

Day 3
Introduction to Gaussian Processes
EN

  • Charles Saidu African University of Science & Technology, Abuja

Introduction to Spatial Data Analysis
EN

  • John Quinn Google AI

Data for Good
EN

  • Alex Pompe Facebook

[[[ Break ]]]

The best time to talk with speakers and attendees through the chat app

Global Challenges in Economics and Computation
EN

  • Eric Sodomka Facebook

Computer Vision
EN

  • Ernest Mwebabze Google AI Ghana

Natural Language Processing
EN

  • Michael Melese Addis Ababa University

July 29, 2020

Day 4
Social Media Data Analysis
EN

  • Morine Amutorine UN Pulse Lab Kampala

MD4SG: Mechanism Design for Social Good
EN

  • Rediet Abebe Havard University

  • Abeba Birhane University College Dublin & Lero

  • Irene Lo Stanford University

  • Ana-Andreea Stoica Columbia University

  • Francisco Marmolejo University of Oxford

  • George Obaido University of Witwatersrand

  • Lily Xu Havard University

  • Wanyi Li Stanford University

  • Samuel Taggart Oberlin College

Visualizing high dimensional data with PCA and tSNE
EN

  • Philipp Berens University of Tübingen

[[[ Break ]]]

The best time to talk with speakers and attendees through the chat app

Practical labs for Visualizing high dimensional data with PCA and tSNE
EN

  • Philipp Berens University of Tübingen

Exploring R for Spatial Analytics
EN

  • Shelmith Kariuki Independent Consultant

Data Engineering in Integrity/Security
EN

  • Nasia Ntalla Facebook

Ethics in ML for Health
EN

  • Shalmali Joshi Vector Institute

End of part I: Summer School
EN

  • Billy Okal Voyage Auto

  • Joyce Nabende Makerere University

  • Morine Amutorine UN Pulse Lab Kampala

  • Engineer Bainomugisha Makerere University

  • Martin Gordon Mubangizi UN Pulse Lab, Kampala

July 30, 2020 - Workshop Day I

Day 5
Welcome and opening remarks
EN

  • Billy Okal Voyage Auto

  • Joyce Nabende Makerere University

Keynote: Towards Automated Poultry Diseases Diagnostics
EN

  • Dina Machuve Nelson Mandela African Institute of Science and Technology

Contributed Paper 1: Automatic screening tool for Pap smears - Jaafaru Jibrin
EN
Contributed Paper 2: A Deep Learning Approach for Quantifying the Effects of Tuta absoluta in Tomato Plants - Loyani Kisula Loyani
EN
Contributed Paper 3: A platform for disease intervention planning - Charles M. Wachira
EN
Keynote: #
EN

  • Engineer Bainomugisha Makerere University

Recruiting/Resume Writing
EN

  • Kuldip Bhathal Facebook

[[[ Break ]]]

The best time to talk with speakers and attendees through the chat app

Keynote: #
EN

  • Ernest Mwebabze Google AI Ghana

Contributed Paper 6: Student Counseling Chatbot - Tesfay Gebremeskel
EN
Contributed Paper 7: Internet of Things Based Mobile Application for Environmental Conditions Monitoring in Poultry House with Machine Learning Algorithms - Beston Lufyagila
EN
Contributed Paper 8: Artificial Intelligent E-extension Unmanned Aerial Vehicle (UAV) for Local Farmers - Adebayo Segun
EN
Panel Discussion: AI for Agriculture, Food Production & Biodiversity
EN

  • Ciira Maina Dedan Kimathi University of Technology

  • Dina Machuve Nelson Mandela African Institute of Science and Technology

  • Ernest Mwebabze Google AI Ghana

  • Jason Kabi Center for Data Science and AI, Dedan Kimathi University of Technology

Deploying species identification models on camera traps and web application for automatic monitoring of animal species in conservation area
EN

  • Jared Makario Center for Data Science and AI, Dedan Kimathi University of Technology

AfricaPolis
EN
Social Connectedness between African Countries
EN

  • Mike Bailey Facebook

Lacuna Fund
EN

  • Jennifer Miles Lacuna Fund

Wrap up
EN

  • Joyce Nabende Makerere University

  • Engineer Bainomugisha Makerere University

  • Martin Gordon Mubangizi UN Pulse Lab, Kampala

August 1, 2020 - Workshop Day II

Day 6
Keynote: Monitoring Behavioral Risk Factors with Internet Search Data
EN

  • Elaine Nsoesie Boston University

Contributed Paper 4: Increasing agricultural productivity in Africa using a discriminative deep learning model for farmland bird invasion identification and prevention system - Halleluyah Oluwatobi Aworinde
EN
Contributed Paper 5: A deep learning-based detector for Brown Spot Disease in passion fruit plants - Andrew Katumba
EN
Leveraging IoT and Machine Learning for Improved Monitoring of Water Resources
EN

  • Jason Kabi Center for Data Science and AI, Dedan Kimathi University of Technology

Contributed Paper 9: Polarity and Similarity Measures Towards Classifying Articles on Food Insecurity - Andrew Lukyamuzi
EN
Contributed Paper 10: Geometry and Topology in Epidemiology Tracking - Colleen Farrelly
EN
Keynote: Optimal Decision Making in Healthcare
EN

  • Megan Allen

[[[ Break ]]]

The best time to talk with speakers and attendees through the chat app

Keynote: UN Pulse Lab Kampala
EN

  • Martin Gordon Mubangizi UN Pulse Lab, Kampala

  • Paula Hidalgo-Sanchis UN Pulse Lab

Data science opportunities in Health in Africa
EN

  • Beatrice Kariuki

Panel: Data Science Africa Uganda Chapter
EN

  • Ernest Mwebabze Google AI Ghana

  • Joyce Nabende Makerere University

  • Engineer Bainomugisha Makerere University

  • Martin Gordon Mubangizi UN Pulse Lab, Kampala

  • Justus Bernard Muhwezi Uganda Bureau of Statistics(UBOS)

Facebook Hackathon Announcement
EN
DSA Grant Announcement
EN

  • Ciira Maina Dedan Kimathi University of Technology

Wrap up
EN

  • Joyce Nabende Makerere University

  • Engineer Bainomugisha Makerere University

  • Martin Gordon Mubangizi UN Pulse Lab, Kampala