Renata Rojas

Mathematics

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.

Open Calls

Science Call 6

Projects

Who pollutes our waters?
Chemistry, Journalism, Mathematics

The project tries to identify the origins of toxic substances in the country’s treated water by cross-referencing information on water contamination with data on polluting sources. The investigation aims to promote social control and pressure public authorities to take action against those responsible for contaminating drinking water. Detections above the Maximum Permitted Volume (VMP) set by the Ministry of Health will be used as the evaluation criterion. Data will be obtained from the Water Quality Surveillance Information System for Human Consumption (Sisagua) and complemented with data from scientific literature on contaminants in different regions of Brazil.

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