DI BIASE ROSA MARIA

Rosa Maria
Di Biase
Dipartimento di Economia Politica e Statistica
Ricercatore Legge 240/10 - tempo determinato

Presentation

Rosa Maria Di Biase is currently Junior Researcher at the Department of Economics and Statistics of the University of Siena. 

She studied Mathematics (Bachelor's degree) and Statistics for sample surveys (Master's degree) at the University of Siena and she received her PhD in Science, Technologies and Biotechnologies for Sustainability at the University of Tuscia.

Her main fields of interest are related to the development of statistical methodologies for solving environmental problems, especially for preserving ecological diversity. In particular, her research activity is focused on sampling strategies, design-based inference, spatial interpolation and spatial map reconstruction in a design-based model-assisted approach.

She has published several scientific papers in peer-reviewed international journals.

Office hours

  • Tuesday from 10:00 to 13:00

Tuesday, 10.00-13.00

To fix an appointment, please send an e-mail to rosa.dibiase@unisi.it

Contacts

rosa.dibiase@unisi.it
0577235210 [int.5210]
Data analysis
Personal webpage

Curriculum Vitae

cv

Teaching activities

Completion accademic year: 2024/2025

DATA ANALYSIS FOR SOCIAL SCIENTISTS (MOD 1)
Course year: 3 First cycle degree (DM 270) ECONOMICS AND MANAGEMENT A.Y. 2022/2023
DATA ANALYSIS FOR SOCIAL SCIENTISTS (MOD 2)
Course year: 3 First cycle degree (DM 270) ECONOMICS AND MANAGEMENT A.Y. 2022/2023

Completion accademic year: 2023/2024

DATA ANALYSIS FOR SOCIAL SCIENTISTS
Course year: 3 First cycle degree (DM 270) ECONOMICS AND BANKING A.Y. 2021/2022

Completion accademic year: 2022/2023

STATISTICAL INFERENCE
Course year: 1 Second cycle degree (Laurea Magistrale) STATISTICS FOR SAMPLE SURVEYS A.Y. 2022/2023

Registration for exams

Research

Ultime pubblicazioni:

  • D'Amico, G., Chirici, G., Campetella, G., Canullo, R., Cervellini, M., Chelli, S., et al. (2025). National Forest Inventory in Italy: new perspectives for forest monitoring. ANNALS OF FOREST SCIENCE, 82, 1-15 [10.1186/s13595-025-01303-9]. - view more
  • Marcelli, A., Di Biase, R.M., Fattorini, L., Mattioli, W., Corona, P. (2025). Estimation of plant species richness exploiting probabilistic sampling and purposive lists: Empirical evidence and practical proposal for forest inventories. FOREST ECOLOGY AND MANAGEMENT, 594, 1-11 [10.1016/j.foreco.2025.122944]. - view more
  • Bartolini, A., Marcelli, A., Di Biase, R.M., Fattorini, L., Ferrini, S. (2025). A probabilistic sampling strategy for estimating plant density in Posidonia oceanica meadows. ENVIRONMENTAL MONITORING AND ASSESSMENT, 197, 1-18 [10.1007/s10661-025-13973-z]. - view more
  • Di Biase, R.M., Mecatti, F. (2025). Applying sequential adaptive strategies for sampling animal populations: An empirical study. ENVIRONMETRICS, 36(1), 1-11 [10.1002/env.2870]. - view more
  • Calosi, M., Fattorini, N., Di Biase, R.M., Marcelli, A., Pisani, C., Gabbrielli, C., et al. (2025). Rooting as indicator of wild boar density: environmental drivers and spatial variation across protected areas. ECOLOGICAL INDICATORS, 178 [10.1016/j.ecolind.2025.113806]. - view more
All publications