Spatial Data Sciences SEMINAR …Think Spatually About Your Data Science Problems

Room 3.23 Mining Building - IST Alameda |

Have you ever wondered why a phenomenon occurs in a specific location? What tools do we have to model and predict phenomena with a significant spatial component? Spatial Data Science offers insights into these questions. Spatial Data Science is an interdisciplinary field that integrates traditional data science methods—such as Machine Learning and Artificial Intelligence—with spatial analysis methodologies, including Geographic Information Systems, Geostatistics, and Remote Sensing. This combination enables us to understand, characterize, and manage big spatial data. These tools are essential for fields that require advanced predictions, such as human behavior modeling, pandemic dynamics, extreme climatic events, and oceanographic applications. In fact, spatial data science plays a crucial role in the IT core business of companies like Google, Uber, and Amazon. This seminar explores various methods and applications of Spatial Data Science, aiming to foster collaboration and strengthen synergies between research centers in this rapidly growing field.

 

🗓️ Program

  • 🕤 9:30 – 👋 Welcome Section
  • 🕘 9:40 - 10:00 – 🧠📊 Graph Neural Networks & Epidemic Spatiotemporal Forecasting
    🎤 Duarte Boto & Arlindo Oliveira (INESC-ID)
  • 🕙 10:00 - 10:20 – 🌍💧 Modelling Extreme Drought Events with Geostatistics & Functional Data
    🎤 Miguel Gomes, Amílcar Soares, Ana Castro, Manuel Ribeiro, Rita Durão (CERENA)
  • 🕥 10:20 - 10:40 – 🌊🛰️ Shallow Water Mapping from Space with ML & Sentinel-2
    🎤 Luis Figueiredo, Luis Pedro Almeida, Caio Fonteles, Bruno Marques (CoLab +ATLANTIC)
  • 🕥 10:40 - 11:00 – 💬 Discussion
  • ☕ 11:00 - 11:20 – Coffee Break
  • 🕦 11:20 - 11:40 – 🌿🏢 Mapping Green Roofs with Vegetation Indices & Deep Learning
    🎤 Ana Paula Falcão, Joana Pernes, Vasco Miranda, Cristina Matos Silva (CERIS)
  • 🕧 11:40 - 12:00 – 🌊🧪 Spatial Data Science in Ocean Modelling
    🎤 Ana Filipa Duarte, Renato Mendes, Roberto Miele, Leonardo Azevedo (CERENA)
  • 🕛 12:00 - 12:20 – 🧬🗺️ Deep Generative Learning in Geo-Modelling
    🎤 Wenyao Fan, Leonardo Azevedo (CERENA)
  • 🕧 12:20 - 12:40 – 💬 Discussion
  • 🍽️ 12:45 – Lunch