Information
📚 Organization | University School for Advanced Studies of Pavia (IUSS Pavia) |
📆 Period @ ESA Φ-lab | September 2025 - March 2026 |
🌍 Project @ ESA CIN | ⚠️ Project is ongoing - Advancing the Protection of Carbon Sinks in the Brazilian Amazon: An Agent-BasedModel to Predict Land Use Changes for Livestock |
🔨 Linkedin | https://www.linkedin.com/in/tiana-assis-6198a8ba/ |
📝 Publications | Google Scholar |
Bio
Tiana Assis is a researcher in Sustainable Development and Climate Change, focusing on land-use dynamics in the Brazilian Amazon. Her work uses machine learning techniques to model livestock-related land-use processes, with particular attention to the economic and policy incentives influencing carbon-sink regions.
She holds a Bachelor’s degree in Economics from the Federal University of Juiz de Fora (UFJF), Brazil, and a Master’s degree in Public Administration from the Federal University of Santa Maria (UFSM), Brazil, with a concentration in Economics, Finance, and Public Policy. She has previously worked in policy evaluation as a research fellow at the Brazilian Federal Agency for Graduate Education and Research (CAPES) and collaborated on projects at the Inter-American Development Bank Group (IDB).
As a visiting researcher, she is deeply motivated by interdisciplinary approaches and the pursuit of sustainable solutions for complex socio-environmental challenges.
Current Role
She is currently a PhD student in Sustainable Development and Climate Change at the University School for Advanced Studies of Pavia, under the supervision of Professor Alessandro Caiani. Her research focuses on predictive land-use modelling for livestock production in the Brazilian Amazon, with particular attention to economic and policy drivers in carbon-sink areas.
Areas of Expertise
Tiana’s expertise spans economics, spatial econometrics, and impact evaluation. These skills enable her to assess the drivers and impacts of deforestation by integrating econometric models with satellite imagery and land-use datasets, supporting the development of robust methodologies for environmental monitoring and sustainable decision-making.
Vision for the Future
Tiana aims to improve and implement methodologies that effectively address environmental challenges, support reliable and sustainable practices, and inform policymakers.