Academy

VERA Academy is the advanced training programme that gives talented students of Master's Degree Courses of the Department of Economics the opportunity to work with the researchers of the VERA Centre on their research projects.

The Centre offers internship grants for activities of research assistance useful for their orientation and subsequent integration into the labor market.

This activity may be useful also for developing the Master degree thesis.


VERA Academy Internship Grants

Call for selection of students are periodically launched.

Internship common elements:

  • Part-time and full-time work for 3-4 months (300-400 hours)
  • A defined project, which provide a valuable learning experience for students
  • Interaction with the assigned tutors
  • A grant of about EUR 2,000.00



Number of internship grants: 12
Maximum duration of the internship: 4 months
Total funding for each internship: € 1.843,31 (gross salary)
Deadline: December 9th 2019 - 12:00 pm

The third edition includes also two internship projects, related to the role of women in the labour market and society, dedicated to the memory of Valeria Solesin.

Number of internship grants: 10 + 3 reserved for students regularly enrolled in the International Master in Economics and Finance 2018/2019 academic year
Maximum duration of the internship: 4 months
Total funding for each internship: € 1.843,31 (gross salary)
Deadline: June 21st 2019 - 12:00 pm

Number of internship grants: 10
Maximum duration of the internship: 4 months
Total funding for each internship: € 1.843,31 (gross salary)
Deadline: January 31st 2019 - 12:00 pm


1st edition projects

Irene Bitto - Trading System Data-Driven

Student

Scientific Tutor

Abstract: The objective of the internship is to define a trading system data- driven based on a set of indicators and oscillators obtained from the technical analysis. The main issues is the selection of indicators to combine for defining a trading system. Indicators and oscillators depend on one or more parameters that are usually selected on the base of subjective evaluations. The work is based on the use of evolutionary algorithms for the estimation of these parameters.

Internship period: March 11th - June 28th, 2019

Enrico Fornasiero - Inequalities and Poverty Indices

Student

Scientific Tutor

Abstract: The aim of the internship is the analysis of the social inequalities and poverty in the current economies characterized by a globalization process. After a review of the indicators for measuring these phenomena, proposed in the literature, the student carries out a short empirical elaboration based on real data from the Ministry of Economy and Finance.

Internship period: March 19th - June 30th, 2019

Bulat Gaifeev - A Big Data Analytics Method for Forecasting Tourism Flows

Student

Scientific Tutor

Abstract: Accurate tourist flow forecasting is always the most important issue in tourism industry. The availability of big data (such as Tripadvisor data) allows for improving destination management organization’s decision support.

The aim of the research is:

  • to review the literature on the use of big data and social media-generated big data, for decision support in the tourism sector;
  • to extract and analyze social media-generated big data following various methods such as network analysis tools;
  • to forecast tourisms flows by applying time series models to the media-generated data;
  • to write a final report where methods and results are presented and discussed.

Internship period: March 22nd - June 30th, 2019

Elisa Orlandi - Gender Gap in Out-Of-Pocket Healthcare Expenditure

Student

Scientific Tutor

Abstract: The research project aims at exploring the gender gap in out-of-pocket healthcare expenditures among partners in couples of older people. Controlling for a comprehensive battery of objective and subjective health measures, indicative of healthcare needs, a first aim is that of measuring horizontal and vertical equity in household budget share allocation to each partner healthcare. The second aim is to explain how the registered gap reflects partners’ bargaining power in relation to their fertility and respective employment life history. The research assistant will provide support with respect to:

  • systematic literature review;
  • exploratory analysis of internationally available data sources and application procedures for possible non-EU data sources;
  • possibly, data cleaning and preliminary analysis. 

Internship period: March 25th - June 25th, 2019

Yuliya Patsyuk - Collecting Data on Divorce and Separation Legislation in EU27 Countries

Student

Scientific Tutor

Abstract: This project is part of a line of research that we have developed in the last years. We are studying the effect of divorce and separation on a battery of socioeconomic and health outcomes at the individual level. In order to identify the causal effect of family dissolution, we would like to exploit the heterogeneity across countries and over time in the divorce and separation legislation. This project consists of:

  • Collecting country-specific information about current and previous legislation on divorce and separation (from 1960 onwards, at least)
  • Defining variables comparable across countries and individuals summarizing the main features of these legislations (for instance, years of separation needed to get a divorce, alimony calculation rules)
  • Analysis of the correlation between this contextual information and the probability of divorce and separation of individuals

Internship period: Aprile 17th - August 17th, 2019

Aiste Petkeviciute - Attitudes and Behaviour Towards IPM Food Products: Policy Implications from a Survey

Student

Scientific Tutors

Abstract: This research aims at understanding the consumer behaviour of IPM (Integrated Pest Management) food products. With population’s growth pressure on limited natural resources, food security and safety have become strategic goals at the global level. The IPM food products’ consumption has been little explored by the literature. Hence, during this internship project it will be studied in deep. Another goal of this internship is to define consumer behaviour. Primary data will be collected with structured questionnaires and analysed through quantitative tools proposed in Data Mining and Multicriteria Analysis. We will try to understand how attitude and perception of consumers differ when they are presented with conventional, IPM or organic food products. The analysis will consist as well of studying whether cultural, demographic, social, economic and other differences influence their consumption patterns. The study will lead to recommendations for policy makers or international organizations.

Internship period: March 7th - June 30th, 2019

Francesco Ratto - Multilinear Algebra and Tensors for Dimensionality Reduction Methods

Student

Scientific Tutor

Abstract: In many different fields, the large dimension and complex structure of the data gathered can make simple statistical methods difficult to apply. Dimensionality reduction techniques allows the researcher to deal with the dimensionality issues. Among these techniques, tensor methods are gaining popularity. The aims of the research are:

  • to provide a review of tensor algebra and tensors models applied in dimension reduction approaches with focus on low rank decomposition methods, regression and factor models;
  • to build new models and inference methods for the analysis of high dimensional data;
  • to develop the code for the analysis;
  • to check the effectiveness of the proposed methods on both simulated data and real data;
  • to write a final report where methods and results are presented and discussed.

Internship period: March 1st - June 30th, 2019

Elisabetta Tonet - Natural Resources, Sustainable Territorial Development and Related Activities

Student

Scientific Tutors

Abstract: The frequent extreme events caused by natural hazards, that recently occurred in Italy and more in general in the European Union, stress the importance to define policies able to guarantee the maintenance of population in rural areas and consequently to promote a sustainable development and to valorise natural resources in a perspective of environmental protection. The project focus its analysis on the agritourism sector in the Veneto Region. The aim of the internship is to underline on the supply side if these activities provide satisfactory and long-lasting revenues for companies. On the demand side, the objective is to understand how some economic, social and environmental factors influence tourists’ choices also for addressing policies to promote territorial development and sustainable tourism.

Internship period: March 11st - July 10th, 2019

Chiara Zanardo - Understanding Pension Wealth Expectations in Europe

Student

Scientific Tutor

Abstract: This research is part of a broader project analyzing the consequences of pension system reforms on household savings in Europe. The research assistant uses SHARE (Survey of Health, Ageing and Retirement in Europe) data to assess the differences across countries and over time in the workers’ expectations concerning replacement rate and retirement age and to understand their relationship with the pension reforms implemented in Europe in the last decades. Moreover, she assess how these expectations vary with individual characteristics such as gender, birth cohort and education.

Internship period: March 11th - June 30th, 2019