Brown Bag Seminar with Carlos Eduardo Velasquez on Machine Learning for Sustainable Development in Brazil
Carlos Eduardo Velasquez works at the nuclear engineering department at the Federal University of Minas Gerais and is a guest professor at KTH Climate Action Centre. In this seminar, he will talk about using machine learning to analyze countries' performance with regards to the sustainable development goals, using Brazil as an example. He will hold a presentation of his work, which will be followed by a discussion. Everybody brings their own lunch.
Time: Wed 2024-06-12 12.00 - 13.00
Location: KTH Climate Action Centre, Teknikringen 43
Language: English
Participating: Carlos Eduardo Velasquez
Here's a synopsis of the work that will be discussed: Machine learning techniques can be useful for classifying, analyzing and predicting the behavior of different parameters. With hierarchical clustering, this could be used to classify countries based on their sustainable development goals (SDGs). Utilizing a dataset from the World Bank, this research integrates indicators and other SDG-specific metrics to form a comprehensive assessment framework. An idealized benchmark country, "Elysium," is introduced to standardize evaluations and guide national strategies towards the SDGs. The methodology includes data analysis and forecasting the SDGs outcomes from 2025 to 2030. The results show Brazil's performance, highlighting the specific SDGs priorities and the potential adjustments required for Brazil to align with its SDG commitments. The findings show that a strategic policy planning prioritizing the SDG-13, SDG-1, SDG-12, SDG-16 and SDG-17, could significantly benefit Brazil in achieving the SDGs within the stipulated timeline.
This Brown Bag Seminar is part of a series of talks where the host holds a presentation of a project or topic, followed by discussion with peers. Everybody brings their own lunch. Would you like to host a Brown Bag Seminar? Send an e-mail to Karin Larsdotter.