Arin is a junior studying Computer Science, and is pursuing minors in Civic Leadership and French. She is particularly interested in the ability of computing technology to help consultant groups better collect, share, and understand the information they gather from client communities, such as via the Contextual Engineering Predictive Tool. Her research focuses on the application of Contextual Engineering principles to communities in the US as well as abroad.
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Schedule 1: Survey Reporting and Deliverables Description
OTM Technology No. 2017-194, titled "Diagnostic Tool for Engineering
Effectiveness in Rural International Societies".
Creator: Ann-Perry Witmer
The Survey provides a list of 41 questions (rated on 5-point Likert scales)
to evaluate relative influences of critical non-engineering conditions and
guidelines for selection/implementation of technologies within a rural
society. The Survey identifies design and implementation strategies that
enhance engineered infrastructure sustainability and durability.
The following information is provided in the Report.
· Column 1 lists the five community influences most likely to affect
design, implementation and acceptance of an engineered infrastructure.
· Column 2 shows the raw scores of each influence for the community, based
upon scores You provided after observing Your client.
· Column 3 draws upon open and free data from World Bank database of World
Development Indicators. Where data are lacking for Your country, those
absences are not included in calculations. Religious composition is
evaluated using open and free Pew Research Center data.
· Column 4 provides a weighted, relative influence score for Your client
community, factoring in national norms to identify the conditions that most
strongly govern your client's approach to an engineered infrastructure.
The following information is also provided: Guidelines for interpreting the
high and low scores of the contextual influences, and Guidelines as to how
to approach the design of the engineering infrastructure.