Rosaria Lombardo

Scholar interested in theoretical and practical aspects of mathematical and statistical methods Focus on real options approach, game theory, and machine learning (supervised and unsupervised techniques) Methods include linear regression, PLS regression, ANOVA, PCA, and correspondence analysis Applications in sustainability, circular economy, economic and financial analysis, transport, and customer satisfaction

Academic Position of the inviting researcher Professor of Statistics
Web page/ORCID https://www.economia.unicampania.it/dipartimento/docenti?MATRICOLA=057444/0000-0003-1746-0292
University of the inviting researcher

UNIVERSITA DEGLI STUDI DELLA CAMPANIA LUIGI VANVITELLI


Department/Lab/Unit Economics
Research lines/projects

Research Focus: Mathematical and statistical models for evaluating public and third-sector investments. Goals: Balance social value creation, economic feasibility, and third-sector engagement. Applications: Redevelopment of derelict assets for socio-economic benefit; reuse of properties confiscated from organized crime (e.g., under Italy’s Antimafia Code). Objectives: Model investment uncertainty, public–third sector dynamics, and socio-economic returns. Methods: Real options analysis, game theory, generalized linear models, and machine learning for willingness-to-pay estimation, and social impact estimation.

Strenghts of the offer/Expected benefits

Opportunity to apply and expand expertise in mathematical and statistical modelling Work in a multidisciplinary environment combining economics, social sciences, and applied statistics Focus on policy-related topics such as sustainability, circular economy, and social innovation Access to high-performance computing, statistical software (R, Stata), and institutional networks Expected outcomes: joint publications, new modelling frameworks for investment evaluation, and long-term research collaboration with social impact

Preferred duration

1 month

Period in which the internship can be made

from February to May

Additional information

Extensive experience hosting international scholars and supporting research exchanges Recently hosted visiting researchers from Leiden and Erasmus University Rotterdam specializing in machine learning and statistical modelling Collaborations resulted in joint publications and ongoing scientific cooperation Active partnerships in statistics, economics, and data science promoting interdisciplinary research English used for academic purposes; basic Italian helpful for administrative and local interactions