DTIC-PLCT-2025-21 - Research support for developing software to calculate the recidivism rate that entails alternative penal measures

Description

Project description:

The goal of the project is to develop an automated process that allows the annual determination of recidivism involving alternative penal measures ("MPA recidivism" from now on).

Measuring recidivism through a recidivism rate with annual periodicity provides valuable information for the development of public policies developed by the Secretariat of Penal Measures, Rehabilitation and Victim Care.

Until now, the recidivism that is calculated is penitentiary recidivism, that is, the probability that a person commits a new crime and receives a prison sentence for this new crime. A more complete view of recidivism should also consider people who receive a less severe penalty, such as community service.

Information on these, known collectively as alternative penal measures (MPA), is managed in a separate SIPC database, with a different structure, and which therefore requires different processing for the calculation. The project consists of creating a process and software that makes this calculation automatically.

Tasks to be performed: Formalize the requirements of this software, develop the software in Python, test the software in an iterative manner with CEJFE, and create an installer for Microsoft Windows and a brief user manual.

Group and complement: Group 3 + level q

Dedication and working hours: Partial time, 20h/month or 30h/month (flexible schedule)

Financing fund: Agreement CNR04525 - CEJFE - Carlos Castillo, CEJFE Contract "Systematization of the recidivism rate that entails alternative penal measures (MPA)", agreement with an end date of execution on 2024-10-31.

Qualifications

Requierements:   High school-FP2

The expected start date is July 10th, 2025. The job is in Barcelona

Selection criteria: The selection of the candidates will be made through evaluation of the curriculum and, where appropriate, with the carrying out a test and/or interview. Valuation will be as follows:

• Academic Training (0-50 points).

• Studies in computer science, data science, data analysis, or similar.

• Other professional training and experience, adequacy to the proposed profile (0-40 points):

• Proven experience in processing of complex datasets.

• Proven experience in data analysis with Python.

• Other merits (0-10 points):

• Good communication skills, including fluency in reading and writing Catalan, is a plus.

The minimum score to pass the selection process is 70 points. The candidate with the highest score in the selection process will be offered the job.

Application Instructions

BASIC INFORMATION ON DATA PROTECTION: 

Data Controller: Universitat Pompeu Fabra

Purpose: Research support staff recruitment.

Rights: You can access your data; request their rectification, deletion and portability; you may object to their processing and request their limitation.

Additional information: Further detailed information is available on the website: https://rat.upf.edu/ca/ll040

Equal Employment Opportunity Statement

UPF promotes a diverse and inclusive environment and welcomes applicants regardless of age, disability, gender, nationality, race, religion or sexual orientation.