

- Description
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The Earthshot Research Institute is a Canadian federally incorporated non-profit organization, focused on solving the World's Biggest Problems.
- Number of employees
- 2 - 10 employees
- Company website
- https://earthshotresearchinstitute.org
- Industries
- Non-profit, philanthropic & civil society
Recent projects
Artificial Intelligence & Machine Learning Application
Our research institute explores the root causes of global problems and publish reports on critical issues in relation to the UN SDG's. We want to leverage the latest technology to advance our capacity. Applications of this technology include LLM's, RAG, recommendation algorithms, predictive analytics / forecasting like lifetime values, modelling and classifications. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research on our existing products and the dataset. Analyzing our current dataset. Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem.
Literature Summary Research Assistant
Our research institute publishes dozens of papers every year to promote projects in our field of research. Among these papers are systematic reviews of relevant literature, which analyze the progression of research within our field or problems within a specific vertical of the UN SDG's. We would like to collaborate with students to support our literature review process by categorizing papers, summarizing important findings and fact checking. Bonus points if you can develop a software program or workflow that helps execute this at scale. This allows us to extract and process data more easily. This will involve several different steps for the students, including: Familiarizing themselves with our research and the types of academic papers that we are interested in. Reading studies relevant to our area of research. Applying the categorization scheme to classify relevant studies. Summarizing important results from relevant studies. Bonus steps in the process would also include: Working with researchers to draft a publication based on the results.