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, there will be two events: DSA 2018 Nyeri in Kenya, May 31st to June 8th and DSA 2018 Abuja in Nigeria, 12th to 16th November, representing our goal to consolidate the regional community in East Africa while also expanding to other regions. DSA 2018 Nyeri will focus on training approximately 30 participants who will then be able to serve as trainers in their local contexts. DSA 2018 Nyeri will be a "Training of Trainers" event under the theme "end-to-end data science."

This year's speakers and instructors include:

Summer School on Machine Learning and Data Science
Dates: 31 May - 06 June 2018
Venue: Dedan Kimathi University of Technology, Nyeri, Kenya
 

We would like to expose data science trainers to the entire pipeline of data collection, analysis, and communication of results using relevant examples. We plan to have participants deploy sensor systems at the DeKUT conservancy and farm which will collect data that they will then analyse.

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.

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 introduce the jupyter notebook and overview the use of python for analyzing data. We will introduce the machine learning technique of classification and perform lab practicals exploring these techniques.

Time

Activity

Material

08:00-08:30

Arrival and Registration

08:30-09:00

Opening Remarks

09:00-10:30

Lecture 1: Introduction to Machine Learning
Neil Lawrence - Amazon and University of Sheffield

10:30-11:00

Break

11:00-12:30

Lecture 2: Introduction to Jupyter and Python
Ernest Mwebaze - Makerere

12:30-13:30

Lunch

13:30-15:00

Practical Session 1

15:00-15:30

Break

15:30-17:00

Lecture 3: Introduction to Classification
Martin Mubangizi - UN Global Pulse

17:00-18:00

Practical Session 2

Time

Activity

Material

09:00-10:30

Lecture 4: IoT session I
Jan Jongboom (ARM)

10:30-11:00

Break

11:00-12:30

Field Session 3 (IoT)

12:30-13:30

Lunch

13:30-15:00

Lecture 5: Data Visualisation

15:00-15:30

Break

15:30-17:00

Practical Session 4

17:00-18:00

Lecture 6: IoT session II / Introduction to Reinforcement learning
Jan Jongboom (ARM)

Summer School Day 3

Time

Activity

Material

09:00-10:00

Lecture 7: Spatial Data Analysis
John Quinn - UN Global Pulse

10:00-10:30

Lecture 8
TBA

10:30-11:00

Break

11:00-12:30

Practical Session 5 / Building Sensor Systems for Data Collection
John Quinn - UN Global Pulse / Jan Jongboom (ARM)

12:30-13:30

Lunch

13:30-15:00

Lecture 9: Introduction to Deep learning
Andreas Damianou (Amazon)

15:00-15:30

Break

15:30-17:00

Practical Session 6: Deep learning with Pytorch / Building Sensor Systems for Data Collection
Moustapha Cisse - Facebook / Jan Jongboom (ARM)

17:00-18:00

Panel Discussion and Wrap Up

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

Data Science in Africa Workshop
Dates: 07 June - 08 June 2018
Venue: Dedan Kemathi University of Technology, Nyeri, Kenya

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. 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

Workshop Opening

09:30-10:00

Keynote 1

10:00-10:20

Paper 1

10:20-10:40

Paper 2
Paper 2

10:40-11:00

Paper 3

11:00-11:30

Coffee Break

11:30-11:40

Paper 4

11:40-11:50

Paper 5

11:50-12:00

Paper 6

12:00-12:10

Paper 7

12:10-12:20

Paper 8

12:20-13:00

Panel 1

13:00-14:00

Lunch Break

14:00-14:30

Keynote 2

14:30-15:00

Keynote 3

15:00-15:20

Paper 9

15:20-15:40

Paper 10

15:40-16:00

Paper 11

16:00-16:20

Paper 12

16:20-17:00

Panel II

Workshop Day 2

Time

Presentation

09:00-09:30

Keynote 4

09:30-10:00

Keynote 5

10:00-10:20

Paper 13

10:20-10:40

Paper 14

10:40-11:00

Paper 15

11:00-11:20

Paper 16

11:20-11:40

Coffee Break

11:40-11:50

Paper 17

11:50-12:00

Paper 18

12:00-12:10

Paper 19

12:10-12:20

Paper 20

12:20-12:30

Paper 21

12:30-12:40

Paper 22

12:40-14:00

Lunch Break

14:00-14:30

Keynote 5:
TBA

14:30-14:50

Paper 23

14:50-15:10

Paper 24

15:10-15:30

Paper 25

15:30-15:40

Paper 26

15:40-15:50

Paper 27

16:20-17:00

Panel III

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