Proposal Description

Over the past two decades, Brazil has made substantial investments in graduate education and, more recently, in the internationalization of its research system. These efforts have helped produce PhD-trained statisticians who now contribute to statistical science from institutions across Latin America, North America, and Europe. This session brings together four such researchers, all women who earned their PhDs from Brazilian universities, whose research focuses on developing flexible statistical methods for complex data, ranging from longitudinal and repeated-measures models to Bayesian semiparametric, dynamic, and high-dimensional modeling approaches. Together, their contributions illustrate both the methodological breadth emerging from Brazilian statistics programs and the increasingly international reach of its graduates.

The session has two components. In the first 60 minutes, each speaker presents original methodological research that addresses a common scientific thread: developing statistical tools that remain effective when classical modeling assumptions are no longer adequate. Such contributions are relevant across a wide range of application areas, including health, education, engineering, and the environment.

The second component (approximately 35-40 minutes) is a moderated panel discussion chaired by Fernando Arturo Peña Ramírez, a UFPE-trained statistician now at UFSM and a collaborator of several session speakers. The panel engages directly with a question of broad interest to the ISI community: what does Brazilian PhD training do well in preparing statisticians for international collaboration, and where are the gaps? Speakers will reflect on their trajectories, the strengths they brought to international settings, and the challenges they encountered, aiming to share experiences and perspectives that may offer useful insights for early-career statisticians globally. In doing so, the session aims to contribute to a broader conversation about how statistical communities worldwide can better support the international development of researchers.