Advanced Analytics Initiative

Mental health issues affect a large percentage of the military population. The HERE4U Military Version will be an instant messaging smartphone application to connect military family members (adults only) who are dealing with mental health problems to a mental health counseling solution that uses the IBM Watson cognitive platform. Being able to engage with Watson in a secure, private and anonymous manner will encourage military personnel to reach out for help where they might not have in the past to obtain timely advice.

Multi-Perspective Text Analysis of Social Knowledge Networks

Knowledge workers (i.e., researchers, business consultants and analysts, research-program managers) produce documents (research publications, analysis reports, opinion pieces, calls-for-proposals, and blog posts) through which they express their knowledge and opinions. They also read and review similar documents, produced by individuals and organizations in their domain of interest and expertise, to keep current with their domain.

Learning tools to predict treatment responses for schizophrenia from neuroimaging data

Schizophrenia is a chronic mental disorder associated with a significant health, social and financial burden, not only for patients but also for their families, and society. However, the current treatment methods have been only partially successful, mainly due to the inter-individual differences between patients, which means that a treatment that is successful for one patient, might not work for another.

Development and Implementation of a Water Analytics Framework: Intelligent Operations for Water (IOW)

Within a watershed, data are collected on various aspects of water (amount, withdrawals, returns, contaminant concentrations) by multiple groups, yet rarely shared at the basin scale. To reduce data “siloing” and make collected data available to multiple users interested in water management within a watershed context, data from multiple sources must be combined.

A Quality Assurance Framework for Care Process Management

Online business processes are different from traditional web applications and typical healthcare applications. Online business processes involve the collaboration of multiple user roles interacting with multiple services in parallel.

Network Traffic Profiling for generating intrusion detection evaluation datasets

Intrusion detection has attracted the attention of many researchers in identifying the ever-increasing issue of intrusive activities. In particular, anomaly detection has been the main focus of many researchers due to its potential in detecting novel attacks. However, its adoption to real-world applications has been hampered due to system complexity as these systems require a substantial amount of testing, evaluation, and tuning prior to deployment.

Measuring Knowledge Translation in Academic / Industry Collaborations

As manufacturing and resource-based industries face growing challenges, Canada’s future increasingly depends on advances in and sustainability of knowledge organizations. Knowledge-based workers comprise a growing proportion of the workforce today. More often than not, they work in the context of large-scale expert networks, spanning across different disciplines and organizations. They rely on software technologies for their discipline-specific activities, the coordination of their activities, and their communication with each other.

Generating Insight for Continuing Care through Exploration of RAI-MDS Data with Data Analytics and Computational Mode

The Resident Assessment Instrument Minimum Data Set (RAI-MDS) is used by health authorities for collecting information about individuals in continuing care facilities. Collected quarterly, RAI-MDS records contain more than 500 data elements, including cognition, psychosocial well-being, health conditions, communication, physical function, and activity patterns. Because of this it has great potential for providing an incomparable quantitative view on the lives of the oldest and most vulnerable Canadians.

Improving the Performance of Java Virtual Machine (JVM) Garbage Collection using Transactional Memory

As the multi-processing power of computers continues to grow, traditional methods of memory management become more and more problematic. The purpose of this project is to quantitatively analyze existing memory management tactics to determine whether they can be improved using techniques that take advantage of modern hardware, or instead, whether brand new methods for managing memory need to be developed. As the act of memory management is one which is crucial to almost every application that runs on IBM’s J9 JVM, clearly identifying a path forward will be extremely beneficial.

iCity Urban Informatics for Sustainable Metropolitan Growth

The visualization/decision support work encompassed by this application addresses key elements of the upgrade path for that strategic part of IBM Canada's smarter cities product and service portfolio– as urban transport systems evolve, their escalating complexity requires more advanced visualization tools and practices.

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