1. Making the invisible visible
Bitange ndemo
University of Nairobi

2. Using big data to Create Tools for Measuring Sustainable development goals (SDG)

3. - Making everyone count -
World Data Lab
- Making everyone count -
worlddata.io
March 2017

4. Leadership Team – worlddata.io
Homi Kharas (Chief Economic Advisor)
Florian Schlochow (Chief Technology Officer)
Wolfgang Fengler (Advisor)
Bitange Ndemo (VP Africa)
Linet Kwamboka (Director Africa)
Charmaine Taus (Operations)

6. Theory of Change: Leveraging the data revolution for SDGs
Higher frequency and better development data, accessible and actionable
creates opportunities
supports
empowers
New research questions;
Better research
Private sector
strengthens
creates jobs & income
improves
Better government policies
Wealthier and more knowledgeable citizens
engages
putting pressure
contributes to
contributes to
Achievement of
Sustainable Development Goals

7. Demonstrating use case for big data and policy intervention

8. US Maize Yields vs. Sub-Saharan African Maize Yields

9. Area Harvested vs. Production Quantity of Maize in US & Sub-Saharan Africa

10. Sub-Saharan Africa has 35 times the land mass of Texas, and roughly the same number of weather stations.

11. Empowering the poor through data: a case study of kibra, kenya

12. 12 12

13. Kibera slum in Nairobi, Kenya
2.5 km2
250,000 people 13 13

14. …was a blank spot on the map14 14

15. Kibera Map Today

16. Why big data is critical to the achievement of sdgs

17. Open Data and Inclusive Innovation
Powerful platform for grassroots innovation. But none of this will happen in time to achieve the SDGs unless we come together now, as a community, to address critical gaps.
We need new policy framework s. Safe and responsible use of big data is about more than privacy protection: it’s also about making sure that whenever possible, big data is used to drive progress toward sustainable development and protect the vulnerable from harm. This will require regulators, companies with data, and potential users of innovative data- driven solutions to work together on a new approach.
Private sector has to step up – and come together – around data philanthropy. As many of you are aware, the mobile industry has already begun to explore how to put insights from the big data produced by mobile phones to work for the public good. Yet still, there are no industry-wide standards for anonymizing and sharing this data, and few examples of enterprise-ready applications that put the power of this data in the hands of a Ministry of health, labor, or transportation. Efforts are underway to change this, and they need further investment, and other industries such as banking, ecommerce, and transportation should follow suit in figuring out how to unlock the power of their data in a way that is scalable and sustainable.

18. Open Data and Inclusive Innovation Cont.
Powerful platform for grassroots innovation. But none of this will happen in time to achieve the SDGs unless we come together now, as a community, to address critical gaps.
Civil society needs to recognize big data for what it is: an issue of rights. Citizens need to recognize that just as they have a right to data privacy, they also have a right to a guarantee that the data they produce merely by going about their daily lives will put to use for their benefit. Alongside current efforts to inform the public about what data is collected from them and the risks it poses to their privacy, they also need to be made aware of the opportunity cost they pay every year in terms of social, economic and environmental progress because our policies and programmes aren’t taking advantage of that same data to work smarter.

19. Roger’s Diffusion of Innovation Theory & Adoption of Big Data
Private Sector
NGOs, WB, UN
Donor Agencies
Governments

20. Thank You