Open space for technologists, investors, tech companies and hackers in Nairobi.

iHub Research By Rhoda / November 19, 2012

Elections 2013 | Creating an Informed Electorate and How Open Data Can Help

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On March 4th , 2013, The President, Senators, County Governors, Members of Parliament, Civic Wards and Women County Representatives will be elected. These elections will be different from past ones as they will be primarily governed by the new constitution that was passed during the August 2010 referendum. The default role

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iHub Research By Angela Okune / November 15, 2012

Release of Google and iHub Research Mobile Internet Usage Field Survey Results from Kenya and Ghana


Mobile phone users across Africa are increasingly accessing data services. In Kenya, 99% of Internet users are accessing Internet through their mobile phones (CCK, Sector Statistics Report Q4 2011 – 2012). Nevertheless, a significant portion of African mobile phone owners are still not using mobile Internet on their handsets. While there

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Kenya Open Data Launch

iHub By Conrad Akunga / November 12, 2012

The Trouble With Open Data


By Conrad Akunga ( Unless you have been living under the proverbial rock, you must have come across the term OpenData, either professionally or personally. However as with many novel concepts penetrating the local ICT lexis, much more heat than light has been generated about OpenData. The premise is simple. Government

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iHub By Rhoda / October 24, 2012

Smart Cities, Smart Societies, Smart Enterprises

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AITEC East Africa Summit – Day 1 Kenya, and increasingly the rest of East Africa, now has the ICT infrastructure and services in place to be a world-class provider of IT-enabled services. The AITEC East Africa ICT Summit 2012 , 24th and 25th October at the Oshwal Centre in Nairobi;

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iHub By Leo Mutuku / October 24, 2012

Consumer Insights an Analysis of Pete’s Coffee


iHub Research (Nairobi, Kenya) conducted a week long survey at the iHub between September 20th and 24th to understand the consumption habits and preferences of Pete’s Coffee customers. These findings were to supplement a content analysis done on data collected from M-Payer, a business application that Pete’s Coffee uses to record daily transactions.  Key Research

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