Category: Events

Header EVENTS (7)

Sport and Women’s Inclusion

March 7, 2024 – h. 8.30

Sala Marconi – CNR Piazzale Aldo Moro 7 – Rome

Download the program in pdf.
Read the event description on the CNR portal.

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EVENTS Header (2)

DinamicaMente

December 5, 2023 – h. 09.30

Conference Hall, CNR Piazzale Aldo Moro 7 – Rome

Download the program.

How can digital technologies be used in an authentically pedagogical way? How can technology support the educational pathway of students with vulnerabilities?

Watch the interviews

Antonella Ciocia, DinamicaMente – Technologies, welfare and
social citizenship

Filippo Gregoretti – Amrita: Artificial Emotions and Sensibilities, a new way of creating

Matteo Martignoni – Cultural design strategies and participatory methods

Tiziana Tesauro – TRAME

Anna Milione – What lifelong learning?

How can digital technologies be used in an authentically pedagogical way? How can technology support the educational pathway of students with vulnerabilities?

To discuss this, the Conference will bring together experts from various fields (from pedagogy to computer science) alongside direct involvement of the student community.

The morning sessions offer constructive reflection on the nature of welfare, namely, how to use ICT and AI to overcome social inequalities, provide digital welfare tools to address vulnerabilities and promote shared participation in community empowerment, how to substantiate learning, how to address the relational challenge that the use of AI and ICT is expected to pose, and finally how educational institutions use these tools.

In the afternoon, audiovisual performances are scheduled exploring the relationship between human and artificial, artificial and vulnerability, artificial and art, facilitating the process of emotional and creative learning. The aim is to experiment with educational and training pathways suitable for everyone while respecting their uniqueness, unpredictability and irreproducibility.

A workshop focused on the environment is planned to stimulate imagination regarding possibilities in urban regeneration, along with a participatory workshop on Miro, aimed at promoting design thinking and critical thinking to address environmental and social challenges. Both initiatives aim to demonstrate the effectiveness of technology-based cultural strategies in urban regeneration and the fight against climate change, involving the local community and promoting sustainable territorial development.

The event qualifies as professional development for teachers under MIUR directive 170/2016 (art.1/5).

Curated by Monia Torre

Page updated on December 21, 2023

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Header EVENTS (5)

Real World Data and Causal Artificial Intelligence

October 9, 2023 – h. 10.00

Sala Europa, IRPPS via Palestro 32 – Rome

Abstract

Artificial Intelligence (AI) is transforming people’s life in unprecedented ways. AI models have human or superhuman abilities in multiple tasks, e.g., gaming, driving, conversation, and content organization. In biomedical research, however, AI demonstrated as much promise, e.g., in molecular drug design, as much disappointment, e.g., in clinical drug repurposing or public health intervention. One of the reasons is that the datasets AI feeds on –sourced from real world databases such electronic health records (EHR)– are often littered with bias. Such bias might be irrelevant to predict the happening of health conditions, but it influences any strategy to prevent such conditions from happening. In this talk, we will take a dive into the promises and perils of AI in healthcare, and its troubled relationship with data, bias, and causality. We will explore novel causal AI methodologies able to both provide accurate individual health predictions as well as interventions. Finally, we will present use cases of causal AI on large, integrated EHR data, and an eagle’s view of EHR consortia in the USA.

Short biographies

Mattia Prosperi, PhD, FAMIA, is Professor in the Department of Epidemiology, and Associate Dean of AI and Innovation in the College of Public Health and Health Profession at University of Florida. His background is in computer science engineering, with expertise in machine learning, bio-health informatics, and epidemiology. His research leverages technology and data intelligence to develop prediction and intervention models for improving future health and lives. In his administrative role, his mission is to expand AI infrastructure, training, research and expertise capacity in public health and health professions.

Yi Guo, PhD, is Associate Professor in the Department of Health Outcomes, Policy and Biomedical Informatics, College of Medicine, University of Florida. He has a multi-disciplinary background in the analysis of real-world data, including electronic health records and administrative claims, experimental and observational study design, predictive modeling (e.g., statistical and machine learning), causal modeling, and analysis of patient-reported outcomes in clinical and public health applications, and among various populations, especially vulnerable populations.

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Gender inequalities: rooted in the family, education mitigates them

Gender inequalities: rooted in the family, education mitigates them


Note
CNR – IRPPS


Interview
with Antonio Tintori

Interview with Giulia Ciancimino

Participants

CNR Press Office: Emanuele Guerrini

Head: Marco Ferrazzoli

Secretariat: Press Office

The Institute for Research on Population and Social Policies of the National Research Council (Cnr-Irpps) has conducted two studies in primary schools in Rome and in upper secondary schools in Italy which show the presence of a pronounced adherence to stereotypical roles in boys and girls and the mitigation of such conditioning in the transition to adolescence.

The data indicate how gaps and stereotypes are still strongly reproduced within the family environment and the important role of the school in countering them.

Three charts are presented below to visualize the results.

  • Figure 1. Level of adherence to male and female stereotypical roles
    (responses for children and adolescents):
  • Figure 2. Men are more inclined towards:
  • Figure 3. Women are more inclined towards:

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