Ciências Humanas e Sociais
Work description
- Data analysis considering different types of data, e.g., electricity consumption, consumer behavior, photovoltaic and wind generation, electric vehicles, and electricity market prices based on various open-access datasets. The data will be analyzed and processed taking into account the identification of any missing/erroneous entries, adjustment of the data granularity, format, etc. - Study and review of xAI approaches for synthetic data generation models; - Development of a new xAI model to explain the process of generating synthetic data. The SHAP model will be used as the basis for the explanations. SHAP will be integrated with a natural language model, thus enhancing the adaptation and richness of explanations, as well as enabling different types of explanations, namely through graphs, tables and text. - Study of Explainable Artificial Intelligence techniques, focusing on SHAP and its application to synthetic data generation models. - Development of models that translate technical processes into simple graphs, infographics and narratives. - Adaptation of the explanations generated by the models to audiences with different levels of literacy, transforming technical results into accessible narratives. - Preparation of project reports and dissemination material
Academic Qualifications
Student of Communication Sciences or similar areas
Minimum profile required
- Mastery of digital content management/creation tools.
Preference factors
- Experience with Design and Multimedia platforms: Canva, Adobe Photoshop, Visme; Video editing with Shotcut and Clipchamp - Experience in analyzing user profiles - Fluency in English (spoken and written) - Fluency in Portuguese (spoken and written) - Experience in scientific dissemination and communication
Application Period
Since 16 Oct 2025 to 29 Oct 2025
Centre
Human-Centered Computing and Information Science