University “G.d’Annunzio” of Chieti-Pescara, Italy
Annalina Sarra is an accomplished Associate Professor of Statistics at the University “G. d’Annunzio” of Chieti-Pescara . With over two decades of experience in academia and research, she is widely recognized for her contributions to spatial models, functional data analysis, and Bayesian methods. Her scholarly journey is marked by deep engagement in national and international projects spanning the fields of environment, education, and social sciences. Passionate about teaching innovation and scientific dissemination, she brings a vibrant mix of academic rigor and creativity to both the classroom and her research endeavors. 🌍📊
Publication Profile
🎓 Education Background
Annalina Sarra earned her Ph.D. in Statistics from the University “G. d’Annunzio” in 2003 🎓, following her MSc in Economics and Commerce from the same university with full marks (110/110) 🏅. She also enriched her academic path as a visiting student at the University of Lancaster, UK, in 2001 🇬🇧, where she cultivated an international perspective in statistical methodologies.
💼 Professional Experience
Currently serving as an Associate Professor (since 2023), Annalina has been part of the University “G. d’Annunzio” since 2005. She advanced from Postdoctoral Research Fellow to Tenure-Track Researcher (RTD-B) between 2005 and 2023. Her teaching portfolio includes a wide range of courses such as Marketing Statistics, Statistics of Education, and Introduction to R, reflecting her dedication to applied and theoretical aspects of statistics 📚👩💻.
🏆 Awards and Honors
She holds dual National Academic Qualifications as Associate Professor in both Statistics (13/D1) and Demography & Social Statistics (13/D3), valid until 2027 🏅. These qualifications underscore her scholarly excellence and recognized expertise in her fields.
🔬 Research Focus
Annalina’s research interests span functional data analysis, spatial and spatio-temporal models, IRT and multilevel models, hierarchical Bayesian approaches, and machine learning techniques such as topic mining 🤖. She is especially engaged in research around educational assessment and analyzing dropout risks using advanced statistical tools. Her involvement in projects like ENCLOSE, TOLERANT, and Boost for Excellence highlights her contribution to contemporary issues like online hate, educational inequality, and social analysis.
🔚 Conclusion
With over 100 publications, a dynamic teaching profile, and a solid footprint in collaborative research, Annalina Sarra stands out as a key figure in statistical research and pedagogy in Italy and beyond 🌐📈. Her work continues to shape the fields of applied statistics and education through innovation, impact, and inclusivity.
📚 Top Publications
High dimensional variable selection through group Lasso for multiple function-on-function linear regression: A case study in PM10 monitoring
Published in: Environmetrics, 2025
Cited by: 1
How do we study misogyny in the digital age? A systematic literature review using a computational linguistic approach
Published in: Computers in Human Behavior, 2024
Cited by: 8
A Functional approach for constructing dynamic Composite Indicators
Published in: Statistical Methods and Applications, 2024
Cited by: 0
Looking for patterns of change amid pandemic period in students’ evaluation of academic teaching
Published in: Quality and Quantity, 2023
Cited by: 2