Youth Engagement in Social Enterprise and Co-operative Development: Supporting Economic Adaptation in Rural Communities in Atlantic Canada in Context of Covid 19

Communities and regions throughout Canada have just been hit with a bomb that is a major threat multiplier: Covid 19. Across the country, rural municipalities that were already struggling economically are now struggling even more with how they should move forward, and support economic recovery and stabilization.
This research project will focus on how to rapidly engage youth in social enterprise, community enterprise and the co-operative model as a means of helping to rebuild and strengthen the economies of their communities in the context of Covid 19 and its aftermath.

Development of tools to assess genetic and age structuring of the Atlantic Sea Cucumber (Cucumaria frondosa)

As fisheries for the Atlantic Sea Cucumber (Cucumaria frondosa) develop in Atlantic Canada, effective management will require a thorough understanding of the underlying genetic relationships within and between different populations to assess “genetic health.” Detecting genetic structure, such as differences in allelic frequencies and heterozygosity, is challenging in marine invertebrate species like C. frondosa due to having a highly dispersive and long larval stage, which results in high levels of gene flow between populations.

How Internet of Things can support radio infrastructure

In urgent situations like natural disasters — or even the current pandemic — Canadian first-response teams rely on mobile radio systems to communicate in a fast and secure way. Manufacturers globally also use radio systems in their production plants. Enabling radio communications requires a complex infrastructure with hundreds of thousands of radio repeater sites spread across North America and the globe.

Nova Scotia__Acadia University

No additional funding contribution is required from the academic supervisor or university.
Fellowships will be awarded competitively.

Predictive Analytics for Charitable giving

Machine learning in the charitable sector is only beginning to be used successfully. Fundmetric Inc has applied various machine learning algorithms to predict donor behaviour, such as who will become a major ($10,000+) donor and which lapsed donors will return if stewarded correctly. There is ample opportunity for research in this domain, including building a super model across various charities, investigating feature synthesis and importance, applying deep learning to make use of the rich temporal data concerning donations, and learning to sequence email appeals.

Development of Novel Selective Estrogen Receptor Modulators

Breast cancer is the most common cancer among women worldwide. Estrogen, a sex hormone in women plays a key role in the proliferation of cancer cells especially in post-menopausal women. Selective estrogen receptor modulators (SERMs) like tamoxifen and raloxifene are the most efficient drugs for treatment of breast cancer. These drugs bind to estrogen receptors (ER? or ER? subtypes) in as much as the same manner as estrogen does. However, these drugs are often accompanied by severe side effects. The proposed investigation aims at developing and evaluating new estrogen antagonists.

Quantification and Improvement of Juvenile American Eel Passage Through Fishways and Wetland Water Control Infrastructure.

The American Eel is a species of significant ecological, social and commercial value and a species of conservation concern in part due to reduced habitat connectivity to both freshwater habitat as juveniles, commonly known as glass eels or elvers. During the proposed research period the intern will work to quantify passage of elvers through existing infrastructure that is representative of the majority of infrastructure within Ducks Unlimited projects within Atlantic Canada.

Advancing Hemp Bioscience: Marker-assisted selection of plants and development of natural health products

Among more than 470 different active compounds found in Cannabis family, there are several medicaments, which in contrary to other compounds in Cannabis plants, they do not produce a mentally altered state or any type of ecstatic ?high / psychedelic (hallucinogenic) effect.? Instead, their main purpose lies in their wide variety of therapeutic uses in many cases such as epilepsy, Alzheimer?s disease, Parkinson?s disease, chronic pain and migraines.

Connecting ecological dots through striped bass diets by using DNA barcoding and stable isotopes

Striped bass invaded Labrador, Newfoundland and Labrador in August 2017 and were identified to feed on Atlantic salmon and capelin; two important fishes to NunatuKavut Community Council (NCC). This project aims to sample striped bass in Labrador to identify what it is consuming. We will combine traditional stomach content morphological identification with a new approach for identifying stomach contents using DNA from the partially digested stomach “goo”. Species-specific DNA fragments (primers) will be used to identify prey through methods like the ‘barcode of life’ project.

Cannabis and Death-Anxiety

In partnership with True North Clinical Research, two studies are proposed to examine the moderating effect of using cannabis on anxiety in response to death-thoughts. In Study 1, participants will be randomly assigned to consume cannabis either before or after thinking about death. Self-reported affect will be assessed to determine if cannabis helps reduce death-anxiety.

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