| 08-01-2024 |
Keywords:
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 06-01-2022 |
Liquid Democracy: Modelling, Analysis, and Computational Implementation
Liquid democracy is a new paradigm of democratic decision-making, based on the idea that voters can delegate their votes transitively to people they consider most qualified for the particular election that is being held. The study of liquid democracy from an algorithmic and computational point of view, which is a branch of the area of "computational social choice", has recently started through a couple of very influential articles; for example, https://ojs.aaai.org/index.php/AAAI/article/view/11468. Despite how interesting these works are, we believe that they have not yet managed to capture all the complexities that these types of dynamics have in reality. The idea is to develop extensions of this model that better fit the requirements of current political science, and from that to analyze its mathematical and computational properties. The work will be interdisciplinary with components of mathematics, computing, and political science.
Prerequisites:
IIC1253
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 21-01-2021 |
Reasoning over knowledge graphs using vector embeddings
Knowledge graphs are one of the hottest topics in artificial intelligence today as they allow increasing the reasoning capabilities of neural networks. Extracting information from these graphs is complex, but this year new techniques have been presented to do it efficiently through machine learning techniques using vector embeddings. We want to study algorithmically robust and optimal ways to carry out this process based on the state of the art of data structures and algorithms.
Prerequisites:
IIC2133
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |