Renata Rojas


While the global warming clock continues to tick, those responsible for international goals and commitments are racing to reach the deadline set for 2030. Renata Rojas researches statistics and their impact on measuring and forecasting the United Nations Sustainable Development Goals. Graduated in economic sciences from the Federal University of Santa Maria, Rojas also completed a master’s degree in production engineering at the Rio Grande do Sul institution. With a PhD in statistics from the Federal University of Pernambuco, the economist has a postdoctoral period at the Federal University of Rio Grande do Norte and another at the Università degli Studi di Pavia, Italy. In 2023, he received the Jan Tinbergen Awards Winners award from the International Statistical Institute (ISI). Her research is a reflection of a life oriented towards sustainability. Recently venturing into horticulture, she also keeps a compost bin at home and generates her own fertilizer. Passionate about music, statistics reveal that her favourite dimension is the lyrics. Rojas enjoys interpreting and researching the lives of various rock and pop lyricists in her free time.


Quem contamina nossas águas?
Jornalismo, Matemática, Química

O objetivo deste projeto é identificar as origens das substâncias tóxicas na água tratada do país, cruzando informações sobre contaminação da água com dados sobre fontes poluidoras. A investigação visa promover o controle social e pressionar o poder público a tomar medidas contra os responsáveis pela contaminação de águas potáveis. Serão usadas detecções acima do Volume Máximo Permitido (VMP) estabelecido pelo Ministério da Saúde como critério de avaliação. Os dados serão obtidos do Sistema de Informação de Vigilância da Qualidade da Água para Consumo Humano (Sisagua) e complementados com dados da literatura científica sobre contaminantes em diferentes regiões do Brasil.

Amount invested

Grant 2023: R$ 30.000,00
Dynamic models for doubly limited random variables: how to predict sustainable development indicators measured in rates and proportions?
Science / Mathematics

Doubly limited data are those that have a minimum value and a maximum value, and the most common examples are rates and proportions. When studying the Sustainable Development Goals (SDGs) and the United Nations 2030 Agenda, the indicators used are almost mainly composed of proportions of the population of interest. Furthermore, as these are objectives to be achieved by 2030, there is a need to monitor these indicators over time. Thus, this project combines doubly limited probability distributions with time series models for monitoring the SDGs. Another commitment is the sharing of computational codes. With this, the new models can overcome the barriers of mathematics and be applied by data scientists outside the academic environment.

Amount invested

Grant Serrapilheira: R$ 333.000,00
Grant Fapergs: R$ 392.000,00

Open Calls

Science Call 6