Projetos de Pesquisa
Metodologia e Ensino: desafios e inovações nas Ciências Humanas
Responsáveis: NASHIELI CECILIA RANGEL LOERA
Membros: ANTONIO MARCOS PEREIRA DOS SANTOS, EMILIA PIETRAFESA DE GODOI, GUSTAVO BELISARIO DARAUJO COUTO, ISADORA LINS FRANCA, CARLOS EDUARDO MACHADO DA COSTA ESCH, Susana Soares Branco Durão, MARIANA DE CAMPOS FRANCOZO, Benoit Charles Marie Etienne de L'Estoile, RONALDO ROMULO MACHADO DE ALMEIDA, ELIS FERNANDA CORRADO, MAIARA DOURADO, ANTONIO AUGUSTO ARANTES NETO, SIMONE MIZIARA FRANGELLA, ANA CAROLINA MARCUCCI, JULIANA CARDOSO FIDELIS, LUCAS PAGE PEREIRA, LUCIANA CAVALCANTI ALVAREZ, JOHN LEAR, BRUNA LOUSADO DE PAULA, OMAR RIBEIRO THOMAZ, STELLA ZAGATTO PATERNIANI, SURAYA SCHEBA, MARIANO BAEZ LANDA, MARCIO AUGUSTO DAMIN CUSTODIO, LUCIA DA COSTA FERREIRA, Cristina Meneguello
O campo das Ciências Humanas tem avançado de maneira significativa na utilização de metodologias de análise e de ensino. Com a evolução da tecnologia é possível agregar um grande universo de informações e refinar os mecanismos de coleta e análise de dados. Novas ferramentas permitem a coleta e o cruzamento de dados com velocidade e precisão impensáveis há 20 anos.
Modelling nutrient interactions and climate change response of vegetation in heterogeneous Amazonian landscapes
Responsáveis: JEAN PIERRE HENRY BALBAUD OMETTO
Membros: Bart Kruijt , CELSO VON RANDOW
The proposed project aims to contribute to understanding the role of nutrient-CO2 interplay as well as heterogeneity in the resilience of tropical forests. The likely response of tropical forests to future climate change is subject of intensive research, using computer models in which vegetation processes are simulated either with prescribed climate (Dynamic Global Vegetation Models or DGVMs) or in a coupled mode, where a vegetation model is coupled to a climate model (so-called Earth System Models, ESM).
Motivated Decision-Making - Implications for Waste Prevention Behaviour
Responsáveis: Ana Paula Bortoleto
Membros: EVELIN RIBEIRO RODRIGUES, RODRIGO SEMERIA RUSCHEL
The understanding of human behaviour and decision-making processes can lead to more effective waste prevention policies that, consequently, promote responsible consumption and decrease waste generation. The proposed approach can also lead to different paths on technology innovation, socio-economic development and mitigation of environmental impacts. The overarching research question is the following: ?How effective are behavioural interventions as policy measures that help increase waste prevention??