iHub’s Next Data Science Meetup Is About Predicting Poverty Index Using Big Data

The Data Lab of Nairobi-based part co-working space, part vector for investors and part pre-incubator for startups, iHub will be hosting its next Data Science Meetup on May 13, 2016.

The meetup will be focused on Big Data and how it can be used to predict poverty index.

Over the years, Big Data has become a really Big deal. Several media outlets (both print and online) have reported of its importance and how it can be used to do a lot of good things in virtually all aspect of our lives.

One of the ways Big Data can be very useful is in the calculation of timely estimates of the socioeconomic development of a region, especially through the use of mobile telephone activities.


“The mobile telephone activity provides an enormous wealth of information that can be utilized along with traditional household surveys,” iHub stated in a post.

It added, “Estimates of poverty and wealth rely on the calculation of features from call detail records (CDRs). However, mobile network operators are reluctant to provide access to CDRs due to commercial sensitivity and privacy concerns.”

On hand to lead the discussion is Christopher Wambugu Njuguna, an aspiring data scientist and researcher who received a B.S. degree in Computer Science from Africa Nazarene University and an M.S. in Information Technology from Carnegie Mellon University in Rwanda.

He has worked for over ten years in the information technology field in Kenya and abroad. His fledgling research career includes spatiotemporal poverty level estimation using big data and inferring spatiotemporal human mobility from call records.

The meetup will take place on May 13, 2016 from 5:30pm to 7:00pm (EAT) at the iHub UX Lab.

If you’re really interested in attending this Big event, you should register as soon as possible.

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