How Insecurity impacts on school attendance and school drop out among urban slum children in Nairobi

This paper discusses how perceptions of personal security can impact on school enrolment and attendance. It mainly focuses on threats to physical harm, crime, community and domestic violence. These security fears can include insecurity that children suffer from as they go to school, maybe through the use of unsafe routes; insecurity that children feel at school; and the insecurity they suffer from in their homes. Although poverty is an indicator of insecurity, this paper does not focus solely on poverty as it is well covered elsewhere in the literature. The paper relies on qualitative data collected in Korogocho and Viwandani slum areas in Nairobi, Kenya between October and November 2004. The paper analyses data from individual interviews and focus group interviews and focuses on the narrative of slum dwellers on how insecurity impacts on educational attainment. The conclusion in this paper is that insecure neighbourhoods may have a negative impact on schooling. As a result policies that address insecurity in slum neighbourhoods can also improve school attendance and performance.

Cognitive Cities: An Application for Nairobi. Text Message Participation of Slum Inhabitants to Improve Sanitary Facilities

Population growth is always increasing, and thus the concept of smart and cognitive cities is becoming more important. Developed countries are aware of and working towards needed changes in city management. However, emerging countries require the optimization of their own city management. This chapter illustrates, based on a use case, how a city in an emerging country can quickly progress using the concept of smart and cognitive cities. Nairobi, the capital of Kenya, is chosen for the test case. More than half of the population of Nairobi lives in slums with poor sanitation, and many slum inhabitants often share a single toilet, so the proper functioning and reliable maintenance of toilets are crucial. For this purpose, an approach for processing text messages based on cognitive computing (using soft computing methods) is introduced. Slum inhabitants can inform the responsible center via text messages in cases when toilets are not functioning properly. Through cognitive computer systems, the responsible center can fix the problem in a quick and efficient way by sending repair workers to the area. Focusing on the slum of Kibera, an easy-to-handle approach for slum inhabitants is presented, which can make the city more efficient, sustainable and resilient (i.e., cognitive).