David Harris Smith

McMaster University
Project Title: Virtual city environment
Industry Partners: GeodigitalRethink/Renewal
Project Title: HPC cloud analytics / machine learning support for Watson Pepper clinical study
Industry Partner: IBM Canada Ltd.
Project Partners: , Frauke Zeller, Hermenio Lima
Platforms: Cloud Analytics, Large Memory System

Digital Media Cities Cybersecurity Health

Virtual city environment

The project goal is to develop a proprietary 3D city-modeling platform (Virtual City Environment VCE) based on the automated co-registration of LIDAR, GIS, and street view image datasets. The platform would integrate an interactive and interoperable online client, supporting multiple user content and scripting modification, and support the parsing of 3D object types, such as terrain, buildings, transient objects (vehicles) and vegetation. The platform will feature a data interface allowing users to incorporate, visualize and highlight different types of data, such as public health data, air quality, traffic, demographics, energy, commercial activity, zoning, etc. The resulting 3D visualization and data interface platform will satisfy a market opportunity for planning visualization and communication services required of professional planning, architectural, engineering businesses, as well as provincial and municipal governments to meet contemporary civic engagement standards. The proposed platform advances SOSCIP strategic priorities by innovating application of supercomputing to existing and emerging urban data sets to improve planning information systems.

HPC cloud analytics / machine learning support for Watson Pepper clinical study

Skin cancer is the most common type of cancer. 80,000 cases of cancer are diagnosed in Canada every year. 5000 of these cases are melanoma, the deadliest form of cancer (Canadian Skin Cancer Foundation). Current prevention efforts to reduce skin cancer focus on educating individuals on preventative actions that they can take to reduce the risk of this cancer. However, research has shown that both communication failure and information overload are significant problems affecting the quality of patient centered care. Social robotics and artificial intelligence have been used effectively to communicate and positively influence behavior, thus this research proposes to develop and test these combined technologies as an intervention for skin cancer prevention education. The research team and collaborating research partner IBM will integrate IBM Watson cognitive computing applications with Softbank Robotics advanced robotics platform, the Pepper robot. The Watson Pepper prototype will be used as a controlled variable in a randomized controlled clinical trial (N = 200) to assess the efficacy of socially assistive robotics intervention for behavioural change in skin cancer prevention knowledge and practices among medical patients, the first clinically tested implementation of a Watson Pepper robot for healthcare communication. The research proposes commercialization and business implementation of the integrated IBM Watson robot in an expanded scale and scope of healthcare communication applications. To support the achievement of this innovative technology milestone, SOSCIP will provide the critical cloud data analytics and memory capacity to support the analysis and modeling of the large multivariate data sets associated with this project.