We are currently immersed in a dynamic project that marries our enthusiasm for sustainability with tech innovation and teamwork.
This ongoing effort focuses on the vital world of ESG (Environmental, Social, and Governance) reporting within academic institutions.
Collaborating with
UTD's Sustainability Director and innovative
startup
CopperWire, we are leading a drive to refine ESG reporting methods and bolster sustainability outcomes.
Through research, strategic partnerships, and tech integration, we are bridging the gap between university sustainability initiatives and modern digital solutions.
In this ongoing venture, our collaboration with UTD's Sustainability Director and CopperWire forms the core.
Our mission is to revolutionize how universities handle ESG reporting by tapping into technology and teamwork.
As part of our ongoing venture, we are actively engaged in ESG reporting, particularly for AASHE STARS(Sustainability Tracking, Assessment & Rating System).
AASHE, the Association for the Advancement of Sustainability in Higher Education, is a globally recognized organization committed to advancing sustainability practices within academic institutions.
AASHE STARS is their flagship program, providing universities and colleges with a comprehensive framework to assess, track, and communicate their sustainability efforts.
This robust system covers a diverse range of categories and metrics, including environmental impact, social responsibility, and governance practices.
As part of our demonstration for universities, our primary focus was on addressing the academic credits associated with the STAR framework, specifically AC1, AC2,& AC9 which emphasizes sustainability-focused academic courses, learning outcomes and research focus in the University.
The AC1 metric reporting endeavor required the collection of various data points. These encompassed the following:
One of the most significant challenges we encountered in reporting this metric was sourcing accurate data. Once the data source was identified, the process involved manually reviewing thousands of course descriptions to determine their relevance to sustainability.
Our current approach utilizes a set of keywords aligned with the Sustainable Development Goals (SDGs) to filter the courses. However, this method resulted in a list of false positives that necessitated manual review before proceeding with the submission.
By utilizing CopperWire's solution we aim at eliminating the manual processes involved at extracting the data and reviewing it.
PS: This is an ongoing project and will be updated as and when we are making the progress.
(Last updated on 14th September 2023)