A paper presenting iMENTORS tool for analysis of contextual factors will be presented at the World Conference on Information Systems and Technologies (WorldCIST) under the "Intelligent and Decision Support Systems" section, on the 15th April 2014 at Madeira Island, Portugal and will be published by Springer in a book of Advances in Intelligent Systems and Computing series.

The paper is titled "Quantitative scenario-based assessment of contextual factors for ICT4D projects: Design And Implementation in a web based tool", written by iMENTORS team members: Anton Talantsev, Aron Larsson, Florence Nameere Kivunike, David Sundgren.

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Anton will present at WorldCIST methodological foundations for the tool as well as technical insights on its implementation and integration at the iMENTORS platform at the conference.
WorldCIST is a global forum for researchers and practitioners to present and discuss the most recent innovations, trends, results, experiences and concerns in the several perspectives of Information Systems and Technologies.

The series "Advances in Intelligent Systems and Computing" contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The chapter and the eBook are available for Purchase on Springer.com. Here’s a link to the publication:
http://link.springer.com/chapter/10.1007/978-3-319-05951-8_45

Abstract of the paper
The success of a development intervention is primarily defined by its longer-term results. Information and Communication Technology for Development (ICT4D) projects are no exception. In particular, the external context in which such projects are to be deployed plays a crucial role for achieving better development results. Thus, an analysis of contextual factors is essential for decision-makers at the project proposal screening and evaluation. Guided by the results-based management framework, a tool for influence assessment of contextual factors is designed and presented in this paper. The tool comprises a suggested model for common ICT4D contextual factors and a complementing method for their assessment. The method employs a scenario-based judgments elicitation process for data extraction together with Monte-Carlo simulation for data processing and aggregation. While the tool is not intended for comprehensive and deep analysis, the underlying streamlined process along with the easy to interpret assessment results arguably ensure further wide adoption.

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