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.

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.

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.

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.

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.

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.

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.

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.

Health care organizations are working to modernize health care using health information technology. Health information technology has been found to improve the quality of patient care and health care outcomes. Today, it is very important for health information technology professionals to develop high quality and high impact technologies that can support health professionals and patients. Clinical simulations and usability testing are two methodologies that can be used to optimize technologies used in health care.

Solutions proposed by software engineering researchers are not usually used by practitioners due to the lack of tool support. The research software Dione was developed as a solution to this problem. Dione is a platform agnostic integrated software analytics solution to tackle this problem. We have implemented prediction models for effort estimation and defect prediction in Dione previously. However, further improvements to the software are necessary to make it useful for the practitioners.