[Forum SIS] Post-Doc position FDS-IRPET in Statistical information systems for public investment projects

[datascience a unifi.it]

Dear All,
with this mail, we would like to inform you that a post-doc is available 
in the Department of Statistics, Computer Science, Applications "G. 
Parenti" at the University of Florence, as part of a reasearch agreement 
between the Florence Center for Data Science and the Regional Institute 
for Economic Planning of Tuscany (IRPET-Istituto Regionale 
Programmazione Economica della Toscana), and under the supervision of 
Prof. Cristina Martelli; title and content of the research project can 
be found below. The ideal candidate should have some knowledge/interest  
in (statistical) information systems, statistical learning, machine 
learning, public economics.

Title: "Design, management and use of statistical information systems 
for the analysis and forecasting of public investment projects issues 
and inefficiencies"

Research topic:
Private and public Investments are strategical factors for growth and 
competitiveness:
public sector investment is so at the heart of European and national 
economic policy,
but the signs of recovery are still insufficient. This project intends 
to focus on the
causes that, up to now, have prevented or limited new infrastructure 
projects and the
maintenance and enrichment of public assets, with an emphasis to 
highlighting critical
issues and inefficiencies .This project has the objective of designing 
and develop a
knowledge system based on the integrated reuse of administrative data 
bases and
available and pertinent statistical source. The system will use a 
variety of sources, produced,
among others by Agenzia di Coesione Territoriale, Tuscan Region, 
Opencoesione, SIOPE, SIMOG-ITACA. These sources are usually generated 
along the administrative processes of expenditure
management, construction and investments' results control: a 
multiplicity of different
protocols and procedures in the responsibility of different 
institutions, with own
specific administrative languages and semantics.
Due to the poor quality of the information system that it is not 
statistically reusable by
design, these sources are often used only with a "big data" and 
descriptive approach, as
they are not able to support the analysis with interpretable and causal 
models.
The knowledge system, object of this project, will take advantage of an 
integrated use
of new technologies: relational and non relational data bases, semantic 
approaches and
AI. The information system will support statistical and machine learning 
analyses for
predicting time of realization of public investments and the 
construction and use of
data-driven indicators for anomaly detection.

Further details can be found at
  
https://titulus.unifi.it/albo/viewer?view=files%2F003289497-UNFICLE-8c23e8ce-f4fe-41ec-a61c-fefb5d31b591-000.pdf, 
and on the Florence Center for Data Science Website among the News 
https://datascience.unifi.it/index.php/news/.

Deadline for application: November 22th 2019
Interview: December 4th 2019
Starting date: January 1st 2020

Best Regards,
Florence Center for Data Science