Computing for Social Good: Research

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 Applications Quest


Created in 2003, Applications Quest uses a data mining algorithm to make admission and hiring decisions in a cost-effective and efficient manner. This software application provides a holistic approach to fairly diversify the environment in which it is used, while committing to the competitive qualification and criterion factors outlined by the client
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BCI


The Brain-Computer Interface (BCI) team in the Computing for Social Good Lab focuses on both Passive and Active BCI. The research questions focuses on world problems by keeping in mind on how to deliver the best User Experience (UX) using physiological tools such as EEG. There are three active major projects in which are: Lets Learn! (Passive), Brain-Musical Interface (Passive), and Collaborative Brain-Robot Interface (Active).
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Culturally Relevant Computing


The African-American Distributed Multiple Learning Style System (AADMLSS) is a culturally relevant technology program, developed by the Computing for Social Good Lab. AADMLSS City Stroll is an interactive game-like environment that uses culturally relevant cues, gestures, sounds and lyrics to teach students algebra. AADMLSS City Stroll consists of three individual components; Instruction, Practice and Assessment. Each component has a specific purpose that leads to the next component. AADMLSS City Stroll combines gaming technologies with artificial intelligence is providing a unique multimedia learning experience for students to learn Algebra.

Secure, Accessible Voting


In 2003, the Computing for Social Good Lab created the first version of Prime III . Prime III is the world's single most accessible voting system. It offers a secure, multimodal voting that delivers the necessary system security, integrity and user satisfaction safeguards in a user friendly interface that accommodates ALL PEOPLE, including people with disabilities. Thus, allowing more people to privately and independently vote versus any other system.
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Virtual Traffic Stop


In 2016 the Computing for Social Good Lab created Virtual Traffic Stop; the Virtual Traffic Stop is a method for reducing conflict between law enforcement officers and civilians during routine traffic stops.
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Contact Us: 
Computing for Social Good Lab 
Department of Computer & Information Science & Engineering 
Room E451, CSE Building
University of Florida
Gainesville, Fl 32611