Since 2015, Data Science Africa (DSA) has held an annual summer school and workshop to train participants on machine learning and data science methods and provide an avenue for researchers to present work demonstrating the application of these techniques to problems relevant in the African context.

For 2018, DSA is expanding to West Africa with DSA 2018 Abuja in Nigeria 12th to 16th November. To consolidating DSA efforts in East Africa, DSA also had a DSA 2018 Nyeri in Kenya, and May 31st to June 8th. DSA 2018 Abuja will take DSA’s traditional structure of a three days Summer School and a two Day workshop, while DSA 2018 Nyeri had a six (6) days “training of Trainers” and a two day workshop.

DSA 2018 Abuja's tentative speakers and instructors include:

Summer School on Machine Learning and Data Science
Dates: 12 November - 14 November 2018
Venue: African University of Science and Technology, Abuja
 

In the tradition of previous Africa Data Science workshops, a summer school on machine learning and data science will be held prior to the main workshop. This summer school will target graduate students, researchers and professionals working with huge amounts of data or unique datasets.

The summer school will focus on introductory and advanced lectures in data science and machine learning as well as moderate to advanced practical and tutorial sessions where participants will get their hands wet wrangling and munging datasets and applying cutting edge machine learning techniques to derive inference from the data. Lectures will be given by distinguished world renown researchers and practitioners including researchers from Sheffield University, Amazon, University of Lagos, Facebook, Google, Pulse Lab Kampala, the AI and Data Science (AIR) lab-Makerere University, and Dedan Kimathi University of Technology (DeKUT), African University of Science and Technology (AUST) among others

The school will also involve end-to-end tutorial sessions from professionals walking the participants through a real data analytics problem from data acquisition to data presentation. To benefit from this course participants must have some background in programming particularly programming with Python and machine learning. The registration process will include submission of worked examples in Jupyter notebooks. Registration is now CLOSED.

School programme outline:

Draft Lecture Schedule

Stuff to install..

To ensure we hit the ground running, it is essential you install the prerequiste software and test it out and make sure it is working on your computer. The venue for the summer school will have some computers on which the software will have been installed but you are advised to come with your own laptop with the software installed.

Luckily all the software required has already been prepackaged in a bundle called Anaconda. You can download the various versions of the software for your laptop OS and architecture from the Anaconda website .

Stuff to do..

To ensure that the software is working fine on your machine and to get you up and running, download the following jupyter notebook and do the exercises in there. If you have not used jupyter notebook before, make friends with Google - a friend in need …

Troubleshooting and comments..

Use the comment section below to (a) ask questions that are not already answered (b) help your peers by providing answers to their questions, if you can.

Summer School Day 1

The first day of the data science school will start with an introduction of Data Science, introduce python, jupyter notebook and pandas and , Fundamentals of IoT, Data Visualisation and a tutorial on Mechanism Design. We have practical sessions for python, pandas and jupter and data Visualisation.

Time

Activity

Material

08:00-09:00

Arrival and Registration

09:00-09:30

Wellcoming Speech and Remarks
Prof Amos David- General Chair, Prof Kingston Nyamapfene, AUST President

09:30-10:30

Lecture 1: Introduction to Data Science
Dina Machuve - NMAIST, Tejumade Afonja - AI Saturday Lagos & InstaDeep

slides ipynb

10:30-11:00

Break

11:00-12:00

Lecture 1: Python, Pandas and Jupyter Tutorial
Olanrewaju Ahmed- University of Ibadan, Shelmith Kariuki- Busara Center

slides

12:00-13:00

Lecture 2: Fundamentals of IoT
Ciira Maina- DeKUT, Adesuyan BOBBY- AUST

slides

13:00-14:00

Lunch

14:00-14:30

Practical Session 1 - Python Pandas and Jupyter
Olanrewaju Ahmed - University of Ibadan, Shelmith Kariuki-Busara Center

14:30-15:30

Lecture 3: Data Visualisation
Mourine Amoturine - UN Global Pulse, Elaine O. Nsoesie - Boston University, Lehel Csató -Universitatea BABES-BOLYAI

slides

15:30-16:00

Break

16:00-16:45

Practical session 2: Data Visualisation
Mourine Amoturine - UN Global Pulse, Elaine O. Nsoesie- Boston University, Lehel Csató - Universitatea BABES-BOLYAI

16:45-17:30

Tutorial 1: Mechanism Design
Eric Sodomka - Facebook

Time

Activity

Material

08:30-10:00

Classification
Martin Mubangizi(Pulse Lab Kampala)

slides

10:00-10:30

Computer Vision and Image Analysis
Ernest Mwebaze (AIR Lab, Makerere University), Falvia Ninsiima Delmira (AIR Lab, Makerere University)

slides

10:30-11:00

Break

11:00-12:00

Computer Vision and Image Analysis
Ernest Mwebaze (AIR Lab, Makerere University), Falvia Ninsiima Delmira (AIR Lab, Makerere University)

12:00-13:00

Deep Learning
Mustapha Cisse (Google AI), Ben Akera (AIR Lab, Makerere University), Mutembesa Daniel (AIR Lab, Makerere University)

13:00-14:00

Lunch

14:00-15:00

Active Learning
Charles I. Saidu (AUST)

slides

15:00-15:30

Deep Learning
Mustapha Cisse (Google AI), Ben Akera (AIR Lab, Makerere University), Mutembesa Daniel (AIR Lab, Makerere University)

15:30-16:00

Break

16:00-17:00

Data Engineering and Infrastructure
Amos David (AUST)

slides

17:00-17:30

Blockchain
Silas Labedo (Pulse Lab Kampala)

slides

Summer School Day 3

Time

Activity

Material

08:30-10:30

Bayesian Methods
Neil Lawerence (Amazon and Sheffield University), Oluwasanmi Koyejo (Google & University of Illinois)

slides ipynb

10:30-11:00

Break

11:00-13:00

Reinforcement Learning
Ayorkor Korsah (Ashehi University), Chika YINKA-BANJO (University of Lagos)

slides ipynb

13:00-14:00

Lunch

14:00-15:00

Mechanism Design
Eric Sodomka (Facebook Research, USA)

slides

15:00-15:30

Spatial Analysis
John Quinn (AIR Lab, Makerere University)

slides

15:30-16:30

Break

16:30-17:30

Natural Language Procesing Overview and Practical Session
Ignatius ME Ezeani (Sheffield University), Claire Babirye (UTAMU), Mark Magumba (Makerere University)

slides ipynb

17:30-18:00

Organizers and Martin (Pulse Lab Kampala)

The summer school is now fully subscribed, and registration has closed.

Data Science in Africa Workshop
Dates: 15 November - 16 November 2018
Venue: African University of Science and Technology, Abuja

Call for Registration

The workshop will be organized around paper presentations and interactive panel discussions. We invite participants interested in presenting work at the workshop to submit a short abstract describing the application of data science methods to problems relevant to Africa. Please use the "Submit Abstract" button below. You will be notified whether your work will be presented orally or as a poster. These may include, for example, the following areas:

  • Data Science for the Sustainable Development Goals
  • Healthcare
  • Agriculture
  • Wildlife conservation
  • Disaster response
  • Geospatial modelling
  • Telecommunications data modelling
  • Economic monitoring

During the panel discussions, we will unite a wide range of stakeholders, including data scientists, representatives from government, development practitioners and the private sector; this will provide a unique setting in which innovative solution driven ideas can thrive.

Participants will also develop a framework for attracting young African talent, mentors and researchers from academia, the public sector and the private sector in Africa to engage in activities geared towards harnessing big data and real-time analytics for the public good.

Workshop programme outline:

Draft Schedule

Workshop Day 1

Time

Presentation

08:00-09:00

Arrival and Registration

09:00-09:30

Welcome remarks
Program Chair

09:30-10:15

Keynote 1
Cisse Moustapha (Google AI Lab, Ghana)

10:15-11:00

Keynote 2 - Machine Learning Systems Design: The Three Ds of Machine Learning
Prof Neil Lawerence (Amazon UK & University of Sheffield)

slides

11:00-11:30

Break

11:30-12:10

Talk - Ambulance Tracking tool- Improving emergency coordination and response
Joseph Sekitoleko, (Ministry of Health Uganda

12:30-13:10

Talk - Application of Robotics in the African context
Chika Yinka-banjo (University of Lagos)

13:10-14:00

Talk - Building Stronger Data Ecosystems Building Stronger Data Ecosystems
Victor Ohuruogu (Global Partnership for Sustainable Development Data)

slides

14:00-15:00

Lunch

15:00-15:40

Keynote 3 - TBC
Dr. Ayorkor Korsah (Ashesi University, Ghana)

15:40-16:10

Keynote 5: Lessons from Academia: implementing Data Science projects with Government
Ernest Mwebaze (AI and Data science Lab, Makerere University, Uganda)

16:10-16:30

Talk - Chownet
Tejumade Afonja (AI Saturday, Lagos)

15:30-16:00

Break

16:40-17:00

Wrap-up

Workshop Day 2

Time

Presentation

08:00-08:30

Arrival and Registration

08:30-09:30

Talk - Data Science 4 Sustianable Development Goals
Martin Mubangizi (Pulse Lab Kampala)

09:30-10:30

Keynote 4: TBC
Bayo Adekanmbi (MTN, Nigeria)

10:30-11:00

Talk: TBC
Willy Tchuitcheu, AIMS Rwanda & Bosch Nigeria

11:00-11:30

Break

11:30-12:30

Keynote 6: Mechanism Design for Social Good
Eric Sodomka (Facebook Research, USA)

12:30-13:00

Talk: TBC
Paul Damalie (Inclusive Innovations, Inc., Ghana)

13:00-13:30

Closing and Wrap-up
General Chair, Prof Amos David

13:30-14:30

Lunch

The workshop is now fully subscribed, and registration has closed.

Collaborators

Sponsorship

Gold Sponsors

Silver Sponsors

Sponsoring Data Science Africa 2018 Event is a great way to communicate your commitment to support the achievement of the sustainable development goals. To become a sponsor, please contact Data Science Africa at info@datascienceafrica.org