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AbstractMediation as an approach to conflict resolution benefits as much from the process of bringing adversaries together as it does from the specific outcome. Mediation calls for great creativity in providing alternatives for harmonious resolution. Almost any issue that involves two or more competing approaches can benefit from the use of computer‐aided decision making. Thus, expert systems software might include software that incorporates what good decision makers implicitly do in preventing or resolving disputes. This article emphasizes dispute resolving, whereas other related literature dealing with computer‐aided counseling emphasizes the dispute‐preventing purpose. The idea of working with multiple alternatives and multiple criteria in an easily manipulated spreadsheet format leads to super‐optimum solutions that exceed the original best expectations of the disputants. That same essence can be applied not just to computer‐aided mediating but also to computer‐aided counseling, negotiating, advocating, evaluating, predicting, assignment of people to tasks, sequencing of events, and other related skills and activities. Achieving superoptimum solutions may not require the assistance of computers, but computer assistance can facilitate such solutions, assisting those who are not experts to increase their skill level and enabling experts to do even better.

With the emergence of the Arab Spring and the Occupy movements, interest in the study of movements that use the Internet and social networking sites has grown exponentially. However, our inability to easily and cheaply analyze the large amount of content these movements produce limits our study of them. This article attempts to address this methodological lacuna by detailing procedures for collecting data from Facebook and presenting a class of computer-aided content analysis methods. I apply one of these methods in the analysis of mobilization patterns of Egypt's April 6 youth movement. I corroborate the method with in-depth interviews from movement participants. I conclude by discussing the difficulties and pitfalls of using this type of data in content analysis and in using automated methods for coding textual data in multiple languages.

With the emergence of the Arab Spring and the Occupy movements, interest in the study of movements that use the Internet and social networking sites has grown exponentially. However, our inability to easily and cheaply analyze the large amount of content these movements produce limits our study of them. This article attempts to address this methodological lacuna by detailing procedures for collecting data from Facebook and presenting a class of computer-aided content analysis methods. I apply one of these methods in the analysis of mobilization patterns of Egypt's April 6 youth movement. I corroborate the method with indepth interviews from movement participants. I conclude by discussing the difficulties and pitfalls of using this type of data in content analysis and in using automated methods for coding textual data in multiple languages. Adapted from the source document.

The aim of this study is evaluate various single winner voting systems with the help of computer aided simulations. The impact of phenomena such as strategic voting, spoiler effect and centre squeeze are studied on various election systems such as First Past the Post, Ranked voting, Approval voting and Score voting. The democratic process gives great moral legitimacy to the winner as they are deemed to be chosen by the people, ergo the election system too needs to accurately reflect the will of all the people. Single winner systems or "winner takes all" systems have the advantage of decisive governments as compared to proportional systems but by its construct exclude parliamentary representation to a large percentage of voters who ended up on the losing side. It is therefore even more important that the single winner system mirror the voters mandate as accurately as possible. I conclude after evaluation that alternate systems such as Instant Runoff or Approval voting could be considered in lieu of the FPTP systems as they have fewer flaws and are more likely to give a truer representation of electorate's choice.

ABSTRACTSystems development managers today are working with increasingly complex systems, revealing a need for computer‐aided techniques in software system definition, design, and construction. The ultimate task of the software engineer is the development of tools and procedures which reduce the effort involved in production of effective software. To be effective, software must possess characteristics of correctness, reliability, efficiency, documentation, and flexibility. This paper develops a measure for software effectiveness and a computer aid for determining process structure in program module specification. The proposed method uses various criteria and a mixed integer program to decompose a system graph into program modules.