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Ageing in a DIGITAL world. A study on multiple dimensions of inequality, in old AGE (DIGITAL-AGE)
Ageing in a DIGITAL world. A study on multiple dimensions of inequality, in old AGE (DIGITAL-AGE)
DIGITAL-AGE analyses the interrelation between digital, health, social capital and labour market inequalities, among the old age population in Italy. Through three empirical research streams, DIGITAL-AGE analyses: i. whether and how the use of digital technology is correlated with health outcomes in old age, ii. the role of digital technologies in supporting older people in the creation and maintenance of social relationships, iii. whether endowments of digital technologies and digital skills support older workers to a smoother transition from a traditional face-to-face working environment to home-working and iv. whether social capital mitigates the effect of digital inequalities on the working experiences of older workers. DIGITAL-AGE adopts a mixed-methods approach by using a combination of longitudinal quantitative data analysis and qualitative research methods (qualitative interviews and visual methods) and including both secondary data analysis as well as first-hand data collection. DIGITAL-AGE aims at contributing to the development of a policy agenda and best practices for a more equal society, through knowledge transfer activities, and with the involvement in project of stakeholders and policymakers.
PI: Dr. Alessandra Gaia
Date: 2023 - 2024
Read more about the project here.
ACTIVE ageing in changing societies. Older people’s social and digital resources in pandemic and post-pandemic ITaly (ACTIVE-IT)
ACTIVE ageing in changing societies. Older people’s social and digital resources in pandemic and post-pandemic ITaly (ACTIVE-IT)
ACTIVE-IT aims empirically investigating the risks and opportunities for active ageing promotion in pandemic and post-pandemic societies and to explore the set of resources older men and women enact to adapt to the structural changes accelerated by the Covid-19 outbreak, i.e. the digitalisation of society.
The ACTIVE-IT research findings are expected to have important academic and societal impact, stimulating reflections and ultimately suggesting possible solutions for a significant progress towards a sustainable society.
PI: Prof. Emanuela Sala
Date: 2022 - 2024
Read more about the project here.
Coverage, non-response, and measurement error in CAWI and CATI surveys
Coverage, non-response, and measurement error in CAWI and CATI surveys
While “Big Data” or “organic data” are increasingly been used for the analysis of social phenomena, survey data continue to make and important contribution to the quantitative empirical study of contemporary societies. In this context, ensuring high survey data quality is fundamental for the realisation of sound quantitative empirical research, which has the potential to inform policies.
The overall aim of this project is to study data quality in survey data, with the ultimate goal of identifying the best strategies for survey practice. Drawing on the Total Survey Error Paradigm, in this project I focus on: coverage error, non-response error, and measurement error.
Date: 2020 - 2024.
Project publications are uploaded on the Project's Research Gate.
The value of digital data: enhancing citizens' awareness and voice about surveillance capitalism (V-DATA)
The value of digital data: enhancing citizens' awareness and voice about surveillance capitalism (V-DATA)
Worldwide, citizens are connected to the Internet through a multitude of devices (e.g. tablets, smart-home appliances, wearables, GPS navigators) and generate enormous quantities of data on a variety of topics: shopping behaviours, social activities, health status, etc. These data are subject to a massive and systematic processes of extraction, which is at the base of the business model of digital platforms.
Using a combination of innovative methodologies (Big Data analysis and visualisation) and more traditional quantitative and qualitative methods, the V-DATA project seeks to understand citizens’ awareness and attitudes on how and to which aims digital data are extracted and exploited, and the economic value they produce.
Principal Investigator: Prof. Guido Legnante
Date: 2021 - 2023. Read more about the project here.
Aging in a Networked Society. Older people, social networks, and well-being
Aging in a Networked Society. Older people, social networks, and well-being
The project (funded by Fondazione Cariplo) aimes at investigating the impact of offline (traditional and face-to-face) social networks and online social networks (social relationships developed using Social Networking Sites, SNSs) on older people’s wellbeing, people’s social inclusion and intergenerational relationships.
More specifically, this research explore the impact of the changes in older people’s offline social network characteristics on physical health, cognitive functions, and well-being, and assessing causal relationships between SNSs use and older people’s health and well-being. The research findings will contribute to inform the decision making process through the formulation of guidelines and definition of best practices, adopting a dialogic approach with the stakeholders and the civil society.
Principal Investigator: Prof. Emanuela Sala
Date: 2018-2020. Read more about the project here.
Understanding household finance through better measurement
Understanding household finance through better measurement
To date, there are no surveys in western countries that measure income, expenditure, assets and debts for the same households. These data limitations constrain our understanding of the dynamics of living standards. A better understanding of household finances will allow a clearer picture of which households are disadvantaged, and how advantage and disadvantage cumulate across time and generations.
The project aims are:
to measure the full accounting identity for individual households;
to transform the methods of collecting data about household finances, by developing innovations in survey measurement and testing new technologies that could augment survey data;
to disseminate these methodological developments widely and thereby change data available for the study of household finances;
to use the new data to investigate policy relevant issues that to date are unresolved due to limitations of existing data.
Principal Investigator: Prof. Annette Jäckle
Date: 2016 - 2020. Read more about the project here.
Methodological innovations in data collection in longitudinal studies
Methodological innovations in data collection in longitudinal studies
Across the world longitudinal studies are facing falling response rates and cost imperatives are bringing into question the feasibility of large scale face-to-face data collection. These and other factors are driving longitudinal studies to combine different modes of data collection both to increase response and to reduce costs. In this context, studies are investigating different aspects of the implications of mixed mode data collection, and giving data users varying degrees of support and advice about issues that should be of concern.
At the same time, new technologies are increasingly being used to improve the breadth, quality and ease of different kinds of data collection. But these exciting opportunities also present significant challenges for both data collection and analytical methods. The aim of this project is to produce reviews and workshops on the use of mixed mode data collection and data collection through new technologies and to identify how these tools have been adopted and what are the key associated issues.
PIs: Prof. Michaela Benzeval, Prof. Annette Jäckle, Prof. Kate Tilling, and Dr. Andy Skinner.
Funder: CLOSER Innovation Fund
Date: 2016 - 2018. Read more about the project here and here.
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