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How Data Science is solving life-
threatening problems in Africa.
Opetunde Adepoju
Data Science student
Me, when I think about Africa’s
problems
Some problems in Africa which data is solving
● Corruption: this costs Africa $68billion/year
● Agricultural products wastage: costs South Africa alone
$2.7billion
● Early detection and treatment of Tuberculosis
● Road infrastructure problems
● Post-election violence The good news: Data science can be used to
jumpstart the solution to all of Africa’s major
problems
What is data science?
Welcome to the fourth
industrial revolution
Some projects in Africa using
Data to solve problems...
BudgIT
Using data visualization to solve
corruption problems
BudgIT reduces corruption
by simplifying budget and
public spending data with
the aim of promoting
transparency and
accountability through data
visualization
Kudu in Uganda
Using data to solve food
wastage
Kudu uses mobile data
technology to reduce food and
waste by providing data which
informs government and food
organizations of which part of
Uganda produces a certain type
of food crop, what amount of
food can feed Uganda and the
necessary infrastructure to put
in place in order to reduce food
wastage
IBM project
Using data mapping to solve
cancer and tuberculosis
IBM started a data mapping project
to solve the problem of late
detection of tuberculosis and track
metastasis in cancer patients
Ma3Route
Using data to solve the problem
of road infrastructure
Kenya’s ma3Route uses real
time data to provide traffic
information to drivers and
passengers. The data will give
guided information on which
route people ply the most. This
will help the government to
make an informed decision on
the best place to build a road
network.
Umati
Using data to solve
Kenya’s Umati project tracks
hate speeches during election
periods and prevents them from
going viral on social media by
blocking them.
Who all this talk epp?
how data science is solving life-threatening problems in Africa
how data science is solving life-threatening problems in Africa

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how data science is solving life-threatening problems in Africa

  • 1. How Data Science is solving life- threatening problems in Africa. Opetunde Adepoju Data Science student
  • 2. Me, when I think about Africa’s problems
  • 3. Some problems in Africa which data is solving ● Corruption: this costs Africa $68billion/year ● Agricultural products wastage: costs South Africa alone $2.7billion ● Early detection and treatment of Tuberculosis ● Road infrastructure problems ● Post-election violence The good news: Data science can be used to jumpstart the solution to all of Africa’s major problems
  • 4. What is data science?
  • 5.
  • 6. Welcome to the fourth industrial revolution
  • 7.
  • 8. Some projects in Africa using Data to solve problems...
  • 9. BudgIT Using data visualization to solve corruption problems BudgIT reduces corruption by simplifying budget and public spending data with the aim of promoting transparency and accountability through data visualization
  • 10. Kudu in Uganda Using data to solve food wastage Kudu uses mobile data technology to reduce food and waste by providing data which informs government and food organizations of which part of Uganda produces a certain type of food crop, what amount of food can feed Uganda and the necessary infrastructure to put in place in order to reduce food wastage
  • 11. IBM project Using data mapping to solve cancer and tuberculosis IBM started a data mapping project to solve the problem of late detection of tuberculosis and track metastasis in cancer patients
  • 12. Ma3Route Using data to solve the problem of road infrastructure Kenya’s ma3Route uses real time data to provide traffic information to drivers and passengers. The data will give guided information on which route people ply the most. This will help the government to make an informed decision on the best place to build a road network.
  • 13. Umati Using data to solve Kenya’s Umati project tracks hate speeches during election periods and prevents them from going viral on social media by blocking them.
  • 14. Who all this talk epp?