In this project, using such mainstream cryptocurrencies as BitCoin and Ethereum as representatives, the intern will analyze the transaction collection strategies of their mining pools, and then collect transactions and the corresponding blocks data to build a large dataset, from which the computing power of different mining pools and their proportions will be analyzed, together […]

Conflicts between humans and black bears in urban settings challenge the wellbeing of both human communities and black bear populations. As human urban communities develop and expand into areas with bears present, conflicts between humans and bears may also increase. It is important to utilize available tools such as education and regulatory bylaws to reduce […]

Personalized health is increasingly gaining public attention in the media as the future of healthcare. Personalized health is the idea that medical treatment will be tailored to the individual based on their predicted response or risks of disease. Omics analysis, defined as the universal detection of different classes of biological molecules, has the potential to […]

Public bikeshares intend to provide an active, accessible, environmentally friendly and compact transportation alternative—particularly useful for travelling short distances and the “last mile” of a trips to and within a busy, dense urban core. In 2016 Vancouver launched a public bikeshare. Vancouver’s climate, culture, and bike route system provides a strong foundation for success, but […]

Document fraud is increasing and undermining the integrity of high quality education in Canada. With over 100,000 fake diplomas sold in the USA every year and legitimate universities incurring significant expenses protecting their intellectual property rights together with negative reputational spill-overs for legitimate universities, blockchain-based platforms, a technology in which transactions that are agreed to […]

The 2017 Neighbourhood Small Grants Program Evaluation will deepen understanding of grassroots grant making through an analysis of program outcomes and participant feedback from the Vancouver Foundation’s 2017 Neighbourhood Small Grants (NSG) program. Using data collected by the Vancouver Foundation, the project intern will produce a report that highlights the outcomes, opportunities, challenges, and lessons […]

CRM Geotomography Technologies (CRM) has developed detectors that are able to measure cosmic ray muon particles underground. By measuring the rate at which these particles pass through the detectors, it is possible to reconstruct a three-dimensional map of the density of the earth’s subsurface above the detectors. This technique is called muon tomography. CRM’s detectors […]

CRM Geotomography Technologies (CRM) has developed detectors that are able to measure cosmic ray muon particles underground. By measuring the rate at which these particles pass through the detectors, it is possible to reconstruct a three-dimensional map of the density of the earth’s subsurface above the detectors. This technique is called muon tomography. CRM’s detectors […]

Chemical pesticides are often highly toxic and non-discriminatory substances. SemiosBIO is developing new pheromone-based bed bug control product for indoor use as a safe, sustainable and targeted control with negligible toxicity to humans and other organisms. This current project involves an understanding of this technology to determine the best suitable market research technique(s) to incorporate […]

Extensive urbanized land surfaces, anthropogenic heat emissions, and lack of vegetation and tree cover contribute to the formation of distinct urban climates where warmer air and surface temperatures intensify outdoor heat exposure and thermal discomfort for pedestrians. To assess outdoor thermal comfort in urban environments, mean radiant temperature (Tmrt) is a commonly used indicator. The […]

Machine learning can be used to predict employee events around retention, promotion or movement. This project explores how to generate better predictions by exploring correlations and exploiting them through features that increase predictive strength. Furthermore, the project explores how to reliably fine-tune the predictive model to a particular data set in the presence of interdependence […]

This project examines the peer review process of a leading Canadian academic journal focused on international development, with the goal to better understand how research knowledge is made accessible and relevant – or not – for policy makers and practitioners. The intern will analyze systematically the texts of submitted articles, comments provided by the scholars […]