Sede ufficiale: VIA SERAFINI, 3, 56126 PISA
Email: antonio.aiello@unipi.it
Telefono: 050 2211923
Sito web: https://people.unipi.it/antonio_aiello/
We promote the dissemination of knowledge and support social transformation, contributing to the progress of both the community and the region
Sede ufficiale: VIA SERAFINI, 3, 56126 PISA
Email: antonio.aiello@unipi.it
Telefono: 050 2211923
Sito web: https://people.unipi.it/antonio_aiello/
Struttura: Dipartimento di Scienze Politiche
Settore scientifico-disciplinare: Psicologia Sociale PSIC-03/A
Modalità: RICEVIMENTO STUDENTI AVVISO: Per i ricevimenti a.a. 2024/25 contattare il docente per e-mail almeno una settimana prima la data (del mercoledì) in proposta. Il Prof. Aiello fornirà rispondendo all'indirizzo della email di richiesta, che dovrà essere inviata dal mittente esclusivamente con estensione " @studenti.unipi.it ", con un appuntamento e eventuali ulteriori dettagli (orario tra le 13 e le 15, etc). Ciascun ricevimento avrà una durata di circa 30 minuti (per consentire più ricevimenti), per cui si prega di munirsi di appunti e organizzare bene le richieste con quanto possa contribuire a facilitare. Grazie per la collaborazione. OFFICE HOURS NOTICE: The next office hours a.y.2024/25, will be on-site at the Department of Political Science, on Wednesday, from 1 pm to 3 pm. Contacting by email will ensure an answer with an appointment provided and further details. Each appointment will last approximately 30 minutes, so please take your notes in advance to organize your request. Thank you. For information always consult this page or the equivalent: https://people.unipi.it/antonio_aiello/ricevimento-office-hours/ Thanks for your cooperation.
Luogo: Dipartimento di Scienze Politiche Via Serafini 3, Pisa; sede dello Studio del Docente: Palazzina Interna Palazzo Bianchi Monzon, primo piano, studio n. 7.
Orario: Tutti i Mercoledì 13-15 previo appuntamento da richiedere via mail al Docente almeno 7 giorni lavorativi prima. Consultare per ulteriori informazioni: https://people.unipi.it/antonio_aiello/
Ideological Beliefs, Basic Motivations, and Psychosocial Well-being
Social Psychology, Political Psychology, Work and Organizational Psychology
This research investigates the influence of sociopolitical belief systems and basic psychological motivations (e.g., the need for certainty, coherence, and social recognition) on subjective well-being and the perception of fit or misfit within academic and organizational settings.
Social Norms, Uncertainty, and Discriminatory Behavior
Political Psychology, Community Psychology, Environmental Psychology
This line of research examines how sociocultural norms and uncertainty—particularly during acute crises affecting communities—impact both explicit and passive discriminatory attitudes and behaviors toward minority groups.
Values, Ideology, and University Dropout Risk
Social Psychology, Social Psychology for Social Work, Educational Psychology
This area aims to explore the role of cognitive coherence (or incoherence) between personal values, ideological orientations, and institutional norms in academic motivation and the risk of university dropout, especially among vulnerable student populations.
Indifference, Intergroup Relations, and Organizational Well-being
Social Psychology, Social Psychology for Social Work
This research focuses on indifference toward marginalised groups as a form of passive discrimination and investigates its effects on relational dynamics and well-being within organizational contexts, with particular attention to helping professions and the field of Social Work.
Norms, Motivation, and Inclusion in Contexts Transformed by Technological (Artificial Intelligence and cooperative Robotics) and Environmental Innovations
Work and Organizational Psychology, Environmental Psychology, Artificial Intelligence
This area analyses the role of social norms and fundamental motivations in fostering inclusive and prosocial behavior in response to environmental and technological changes, specifically focusing on the psychosocial impact of artificial intelligence and collaborative robotics in the ecological transition of work environments.