Ennio Bilancini
Biographic Data
| ID | 266986 |
|---|---|
| NAME | Ennio Bilancini |
| GIVEN NAMES | Ennio |
| FAMILY NAME | Bilancini |
| SIGNATURE | BILANCINI E |
| AFFILIATIONS | IMT School for Advanced Studies Lucca |
| ORCID | 0000-0002-2027-3992 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 62 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 3 |
The impact of generative artificial intelligence on socioeconomic inequalities and policy making
Generative artificial intelligence (AI) has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of the potential impacts of generative AI on (mis)information and three information-intensive domains: work, education, and healthcare. Our goal is to highlight how generative AI could worsen existing inequalities while illuminating how AI may hel…
I want to be safe: Understanding the main drivers behind vaccination choice throughout the pandemic
Vaccine perception is a dynamic process shaped by evolving factors like efficacy and safety perceptions, trust levels, and individual motivations. Our study sheds light on the complex dynamics that underlie the perception of vaccine safety and efficacy, and their impact on willingness to vaccinate. We discuss these results in light of bounded rationality, loss aversion and classic utility theory
Game-based education promotes practices supporting sustainable water use
We estimate the impact of a game-based educational program aimed at promoting practices for sustainable water usage among 2nd–4th grade students and their families living in the municipality of Lucca, Italy. To this purpose we exploited unique data from a quasi-experiment involving about two thousand students, one thousand participating (the treatment group) and one thousand not participating (the control group) in the program. Data were collecte…
National identity predicts public health support during a global pandemic
Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and stricter hygiene) and endorsed public policy interventions (e.g., closing bars and restaurants) during …
Predicting attitudinal and behavioral responses to Covid-19 pandemic using machine learning
At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multi-national data collected by the International Collaboration on the Social…
Prosocial behavior in emergencies: Evidence from blood donors recruitment and retention during the Covid-19 pandemic
Situational factors shape moral judgements in the trolley dilemma in Eastern, Southern and Western countries in a culturally diverse sample
Rational attitude change by reference cues when information elaboration requires effort
Policies for Happiness
Predicting the Trend of Well-Being in Germany: How Much Do Comparisons, Adaptation and Sociability Matter
Did the Decline in Social Connections Depress Americans' Happiness
Long-run welfare under externalities in consumption, leisure, and production: A case for happy degrowth vs. unhappy growth
Agricultural institutions, industrialization and growth: The case of New Zealand and Uruguay in 1870–1940
Did the Decline in Social Connections Depress Americans' Happiness
Long-run welfare under externalities in consumption, leisure, and production: A case for happy degrowth vs. unhappy growth
Predicting the Trend of Well-Being in Germany: How Much Do Comparisons, Adaptation and Sociability Matter
Situational factors shape moral judgements in the trolley dilemma in Eastern, Southern and Western countries in a culturally diverse sample
Prosocial behavior in emergencies: Evidence from blood donors recruitment and retention during the Covid-19 pandemic
Rational attitude change by reference cues when information elaboration requires effort
Agricultural institutions, industrialization and growth: The case of New Zealand and Uruguay in 1870–1940
Long-run welfare under externalities in consumption, leisure, and production: A case for happy degrowth vs. unhappy growth
Agricultural institutions, industrialization and growth: The case of New Zealand and Uruguay in 1870–1940
Predicting the Trend of Well-Being in Germany: How Much Do Comparisons, Adaptation and Sociability Matter
Did the Decline in Social Connections Depress Americans' Happiness
Policies for Happiness
Rational attitude change by reference cues when information elaboration requires effort
National identity predicts public health support during a global pandemic
Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and stricter hygiene) and endorsed public policy interventions (e.g., closing bars and restaurants) during …
Predicting attitudinal and behavioral responses to Covid-19 pandemic using machine learning
At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multi-national data collected by the International Collaboration on the Social…
Prosocial behavior in emergencies: Evidence from blood donors recruitment and retention during the Covid-19 pandemic
Situational factors shape moral judgements in the trolley dilemma in Eastern, Southern and Western countries in a culturally diverse sample
Game-based education promotes practices supporting sustainable water use
We estimate the impact of a game-based educational program aimed at promoting practices for sustainable water usage among 2nd–4th grade students and their families living in the municipality of Lucca, Italy. To this purpose we exploited unique data from a quasi-experiment involving about two thousand students, one thousand participating (the treatment group) and one thousand not participating (the control group) in the program. Data were collecte…
The impact of generative artificial intelligence on socioeconomic inequalities and policy making
Generative artificial intelligence (AI) has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of the potential impacts of generative AI on (mis)information and three information-intensive domains: work, education, and healthcare. Our goal is to highlight how generative AI could worsen existing inequalities while illuminating how AI may hel…
I want to be safe: Understanding the main drivers behind vaccination choice throughout the pandemic
Vaccine perception is a dynamic process shaped by evolving factors like efficacy and safety perceptions, trust levels, and individual motivations. Our study sheds light on the complex dynamics that underlie the perception of vaccine safety and efficacy, and their impact on willingness to vaccinate. We discuss these results in light of bounded rationality, loss aversion and classic utility theory
Psychology (8 works) · Economics (7 works) · Social Psychology (6 works) · Computer Science (5 works) · Medicine (4 works) · Pandemic (4 works) · Political science (4 works) · Social Psychology (4 works) · Sociology (4 works) · COVID-19 epidemiological studies (3 works)