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insight into available data resources. The specific outcomes of this<br />

experiment are the creation of analytical dashboards and data tool<br />

kits for knowledge professionals; and the creation of mass appeal<br />

mobilizations applications/platforms for civic engagement.<br />

The multi-stakeholder groups will then follow a Design Thinking<br />

approach to ideate the solutions and create meaningful and useful<br />

applications based on these insights from the data. This will be<br />

done in five steps, following concepts derived from the Stanford<br />

D. School Design Thinking methodologies [15], namely:<br />

o Empathizing - observing, engaging, and immersing the<br />

developers and subject matter experts together so as to<br />

understand the needs of the general citizens. This will take<br />

place in a workshop where there will be brainstorm sessions<br />

around four thematic areas: Water, Education, Transport and<br />

Local County Data.<br />

o Defining -Problem statements will be formulated by the<br />

fellows and the working groups formed. These problem<br />

statements will be based on the synthesis of the empathy<br />

findings in terms of compelling needs and insights, scoping<br />

specific and meaningful challenges to solve. This will take<br />

place in another workshop where a number of projects will<br />

be selected with which to proceed.<br />

o Idea-ting - This will be done around the numerous problem<br />

statements and go further into strengthening solutions for the<br />

selected projects. The idea-tion will be supported by a boot<br />

camp where an initial prototype will be designed to be built<br />

in selected teams. This event will also have a public outreach<br />

component to help educate researchers and the broader<br />

public about the use of open data.<br />

o Prototyping and testing - The actual prototyping will then<br />

follow where all the ideas generated are actualized as<br />

applications and technology services to address the problems<br />

identified to be solved using open data. This step will involve<br />

different levels of prototyping and showcasing demos of the<br />

published data applications.<br />

3.2.1.1 The Research Process<br />

The specific objectives of the research are to:<br />

1) Document the Open Data Outreach process in order for it to<br />

be replicable in other communities and countries<br />

2) Use evaluation mechanisms of the design thinking approach<br />

and the documentation to understand how to make the Open<br />

Data Outreach initiative sustainable and scalable.<br />

This research is being conducted as an intense study that involves<br />

active participation and observation in the entire process of ideation<br />

and development of the open data applications through the<br />

pre-incubator model. Specifically, the study is using ethnographic<br />

models in order to fully understand this pre-incubator model in the<br />

development of open data applications, and uncover new and<br />

consequential variables [7] to consider in the construction of the<br />

larger incubator model.<br />

This research includes an exploratory survey and initial literature<br />

review to help determine scope of the project and verifiable<br />

metrics for success to aid in this evaluation and analyze the<br />

replicability of the open data pre-incubation process so as to<br />

provide targeted recommendations for scaling up the initiative.<br />

These have been identified so far, at a high level, as the successful<br />

20<br />

development of open data applications that will be scaled in the<br />

region or continent of Africa; and the creation of an ecosystem at<br />

the grass root level (the communities) around open data, through<br />

the use of these applications.<br />

The research will continue to review the documentation of event<br />

<strong>proceedings</strong> and activities related to the process as well as<br />

qualitative research conducted through ethnographic observation<br />

and participatory approach, in-depth interviews and audience<br />

analysis.<br />

The documents of the process of building and running the open<br />

data pre-incubator will then be critically analyzed and used to<br />

deliver use cases and recommendations that can be used for<br />

actionable planning in a larger incubator model. This may call for<br />

a review strategy for sustaining such open data incubator model<br />

by analyzing successes, weaknesses, opportunities & challenges<br />

for making this data more ‘mainstream’.<br />

The findings will then be presented at the end of the experiment as<br />

use cases, recommendations, tool kits and a critical analysis of the<br />

process that can be used for actionable planning of a similar open<br />

data consumption product.<br />

Overall, the specific goals of the Pre-Incubator process are to<br />

create one app or service or platform that used at scale across<br />

Kenyan society and drastically increases the use of open data and<br />

the research will support this further by the recommendations<br />

delivered for a sustainable and scalable model.<br />

4. CONCLUSIONS<br />

This project will contribute in creating a knowledge community<br />

on this open data of experts and non-experts alike and spurring<br />

conversations around this open data. The research process will not<br />

only inform the underlying project, the pre-incubation model, but<br />

hopes to raise new questions on how further to promote<br />

engagement of the ordinary citizen with their government through<br />

the usage of other mass appeal applications. This research hopes<br />

to come up with an effective sustainable toolkit on how subject<br />

experts and developers can interact with the Open Kenya portal<br />

and in collaboration, build tools and services around the datasets<br />

that can benefit all citizens in spite of their literacy levels with<br />

regards to the platform.<br />

As we embrace new ideas of living, applications revolving around<br />

various sectors like Water, Education and Health will go a long<br />

way to assist the country in transitioning to more citizen<br />

engagement and efficient service delivery. Consequently, this will<br />

lead to identification of proper open data innovations that solve<br />

real problems within the society and essentially assist in achieving<br />

the objectives with regards to the release of open data.<br />

5. REFERENCES<br />

[1] Beeman, H. 2011. Uses for open data<br />

http://hadleybeeman.net/2011/01/26/uses-for-open-data/<br />

Accessed August 2012<br />

[2] Business Daily, Government portal must have the required<br />

impact, 2011<br />

http://www.businessdailyafrica.com/Opinion+++Analysis/G<br />

overnment+portal+must+have+the+required+impact/-<br />

/539548/1199730/-/10sesc1/-/index.html Accessed in April<br />

2012

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