Current
2018-11-29
Dr. Vijay Mago is helping in organizing a conference on Social Data and Artificial Intelligence as General Chair.
View2018-11-25
Today is the grand re-opening of Datalab.science. The website has been given an updated look and feel with a modern design. Current project information, and team lists have been updated to provide more accurate and up-to-date information! Enjoy!
ViewAbout Our Lab
Using modern approaches in machine learning, artificial intelligence, and real-time social media analysis, DATAlab conducts research that leverages advanced technology to make complex problems manageable
DATAlab houses one of the largest Twitter data repositories in North America which has been used to explore topics such as public health, diabetes, addictions/recovery and impacts of political messaging
Our team applies modern reporting and visualization software tools to help in communicating meaningful results and conclusions to our stakeholders and funders.
Projects
Automation of transfer credit decisions based on the semantic analysis of program courses and learning objectives.
Analysing the transfer student's data to find out there success using hypothesis testing.
Pulling in data from various social media sources and tagging relevant medical data
Accurately modeling the system of health-related factors can facilitate the development of integrated policies to identify where interactions form structures such as feedback loops or multiple paths.
Develop causal maps of user-specified problems by automatically generating questions and parsing oral answers through voice-activated technologies.
Tweet harvesting & pre-processing system and real-time tweet analysis dashboard.
Performing Ganger causality tests to find the impact of Donald Trump's tweets on his followers tweets related to health/physical activities.
An intelligent system which can grade essays based on selected parameters thus eliminating the need of a manual time taking grading.
Establishing an automatic end-to-process to identify relevant tweets and analyze them for statistical significance.
Finding health of Canadian people through social media at a large scale.
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