Data Science Search Engine Optimization

Search is an important way people get the information they want. Whether we want to find more content about a specific topic, or get general information on a subject, search engines lie at the core of this process. At Flipp, search plays a crucial role in the overall user experience and drives relevant content to […]

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Temporal Framework for Natural Language Processing with Convolutional Networks

In this research, we propose a model learning documents to fixed-length embedding vector space. This is meaningful, because in vector space, we can find similar documents or measure the relations between documents by simple linear algebra calculation. One of state-of-the-art methods is to apply deep Convolutional Neural Network on language sequences and thus learn different […]

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Optimizing Docto’s Predictive models using Machine Learning Techniques

The proposed research project aims to increase the accuracy of a model used to predict future glucose levels 1 hour ahead of time, with ~90% accuracy. This model should be able to detect, ahead of time, situations where the blood-glucose level is either too high or too low which could lead to complications for the […]

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Legal Question Answering with Bidirectional LSTMs

ROSS Intelligence enables legal professionals to find analyze legal issues and find hidden information and cuts down on research time by using artificial intelligence specialized in legal research. Recent advances in neural networks applied to natural language processing have brought results that are close to human performance in some tasks. However, this approach is still […]

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Researching and Evaluating SBL’s Youth Space Model, Summer Program, School Year and March Break Career Exploration Programs and Improving SBL’s Research-Evaluation Framework

This project takes a holistic and comprehensive analysis of all aspects of Success Beyond Limits (SBL’s) programming as well as their research and evaluation frameworks. Operating in a low-income and marginalized setting, youth that attend SBL’s programming find it difficult to find, secure and keep meaningful employment. This research will capture the experiences of those […]

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Privacy Enhanced Decentralized Identity System

Currently, a number of public and private organizations have implemented various identity management solutions to manage authentication; authorization privileges of their users within or across system and enterprise boundaries. The idea of using a third party identity provider (IdP) to access a relying party (RP) is not new, and both RP and IdP have much […]

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Impacts of the Privacy and User Experience requirements on the implementation of the Identity Networks based on distributed Hashtrees

Nowadays, a number of public and private organizations have implemented various identity management solutions to manage authentication; authorization privileges of their users within or across system and enterprise boundaries. The idea of using a third party identity provider (IdP) to access a relying party (RP) is not new, and both RP and IdP have much […]

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Social Media Impact Tool: Measuring ROI for Social Media Engagement

Currently there are no effective tools to capture and measure return on investment (ROI) in social media in conjunction with more traditional data points that come from sources such as Flyer Tracking and Point of Sale (POS) systems. Using visual analytics techniques, this project will develop and evaluate a set of ROI metrics that will […]

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Preparation and testing of a sawdust-based phosphate filtration matrix

High concentrations of phosphate in the waterways cause algae blooms which are detrimental to water quality and fish habitat. The research project conducted by the Department of Chemistry & Biochemistry and the Upper Thames River Conservation authority, is attempting to alleviate this problem by chemically altering sawdust so that it can act as a phosphate […]

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The “CARE” (Clinical Analytics for Real-World Evidence) Platform

The healthcare industry is shifting from randomized controlled trials (RCTs) care to real world data (RWD) to understand how well an intervention performs in clinical practice. The best source of RWD is source data – that is, data that are collected at the interface of the patient and the health care system. The University of […]

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