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 will also have 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 Abuja will instead of a three day summer school have a six (6) days “training of Trainers” and a two day workshop.
This year's tentative speakers and instructors include:
- Dina Machuve, Nelson Mandela African Institute of Science and Technology
- Ernest Mwebaze, Google AI, Ghana & Makerere University
- John Quinn, UN Global Pulse
- Neil Lawrence, Amazon and University of Sheffield
- Billy Okal, Voyage
- Moses Thiga, Kabarak University
- Chika YINKA-BANJO , University of Lagos
- Lehel Csató , Universitatea BABES-BOLYAI
- Olubayo Adekanmbi, MTN Nigeria
- Moustapha Cisse, Google AI
- Mourine Amutorine, Pulse Lab Kampala
- Ayorkor Korsah, Ashesi University Ghana
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, Swansea University Medical School, Facebook, Google, Pulse Lab Kampala, the AI and Data Science (AIR) lab-Makerere University, ARM 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:
|Day 1 - 12th November 2018||
|Day 2 - 13th November 2018||
|Day 3 - 14th November 2018||
The summer school is now fully subscribed, and registration has closed.
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
- 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.
The workshop is now fully subscribed, and registration has closed.
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 firstname.lastname@example.org