Course: EECS4080

Supervisor: Alvine Belle

Supervisor's email address: alvine.belle@lassonde.yorku.ca

Project Description: The number of citations of scientific articles has a huge impact on recommendations for funding allocations, recruitment decisions, and rewards, just to name a few. However, some researchers belonging to some socio-cultural groups (e.g., women) are usually less cited than other researchers coming from dominating groups. This may be due to the presence of some unfairness citation patterns in some scientific articles. These citation patterns are tangible examples of biases against researchers from some socio-cultural groups and may inevitably cause unfairness and inaccuracy in the assessment of articles impact. These citations patterns may therefore translate to significant disparities in promotion, retention, grant funding, awards, collaborative opportunities, and publications. The project will first start by analyzing the existing scientific literature to find out the various unfairness citations patterns that may be present in some scientific articles. Then, the project will focus on the exploration of existing mitigation solutions and their limitations. The project will then aim at developing an online tool called CiteFair that will be able to:

1. Automatically analyze scientific articles to detect the potential presence of unfairness citation patterns
2. Rely on existing bibliometric tools to provide some suggestions to articles authors to mitigate these citations patterns and increase the fairness citation score of their articles.

The project will also consist in validating the accuracy of the CiteFair tool by making experiments on a sample of the scientific articles published within the last decade in a wide range of venues. Experiments will also focus on evaluating the usability and performance of the CiteFair tool.

Required skills or prerequisites: Solid experience with JavaScript, HTML, and CSS

Recommended skills or prerequisites: Experience with web-development frameworks (e.g., React JS, Spring Boot) and good oral and written skills in English

Course: EECS4080

Supervisor: Afshin Rezaei

Supervisor's email address: rezaei@eecs.yorku.ca

Project Description: We would like to develop a User Interface (UI) using Javascript with the backend calculation using C++. In this project, we will develop forms for the user to enter the equipment data and store them in a database. Some secondary parameters should be also calculated from the user data. In the UI we need to draw simple circuits and figures showing the specified positions on the page and draw some simple symbols.

Required skills or prerequisites: JavaScript, C++, Database

Instructions: Send c.v. with similar projects you have done so far to the project supervisor.