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The Red Spot

The 2008 financial crisis was one of the biggest shifts of wealth away from the Black community.

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“Ushahidi provides open source crowdsourcing software for responding to crisis, helping human rights, and increasing transparency.”

For the event of post-election violence in Kenya 2008, map reports are created to flow the voices.

With the mobile apps (iOS/Android) of the system, data collection can gather other’s voice from multiple sources such as SMS, emails, Twitter and RSS. These data can also be managed and formed into visual charts and maps. Other functions such as alerts and customer services are also provided.

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The main method has used in this study by review the health profiles of the incarcerated group. Via this method, the basic background information can be gather and analyze with categorized people into different groups such age, races, gender etc. Furthermore, with group analyze some conclusion can be made to execute a possible solution to decrease the incarcerated people in order to improve health conditions. The health records are also useful to make prediction trend of the future environment, even though the conclusion from the prediction is the situation would not change as much as general publics and authorities expected.

By reviewing health profiles of the incarcerated group to study this issue, personally would say it is quite a quick and reliable way but not quite sure on the innovation level of this kind of methodology. Another issue with method is the possibility on the violation of personal information and ethical controversy. 

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The report is provided with both English and Japanese for the technical professionals to study.  For the general publics, this report summary (fact sheet) has provided in six major languages  to assist them to gained a broad understanding to the works. 

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Since the system itself is open sourced, there are code libraries to enhance the work piece and modelling it.

“The stack”

Back-end: Linux, PHP, Apache/Nginx, MySQL or PostgreSQL

Front-end: AngularJS, Javascript, Html, CSS. Built with NodeJS and Browserify. Using Leaflet for mapping, and a collection of other frontend libraries”