H20 – Leak

The MIND research laboratory is involved in numerous projects that address issues related to Natural Language Processing, Machine Learning, Optimization and Network Analysis

H20 – Leak

About

The EXAMPLE project is funded by the Italian Ministry of Research under the PRIN 2022 call with three research units involved: the University of Turin (Prof. Luigi Di Caro), the University of Milan (La Statale) (Prof. Giovanni Livraga) and the University of Milano-Bicocca (Prof. Marco Viviani).

The EXAMPLE Project stems from observing recent dynamics in considering the protection of users’ data and privacy, and users’ access to potential misinformation, through EU regulations and guidelines. A key aspect is the balance between the rights to confidentiality, autonomous decision-making, free access to information, and freedom of expression. To do this, the Project aims at:

  • Define explainable knowledge-based solutions enabling users to: (i) specify and have enforced protection requirements over their personal/sensitive data and (ii) assess the risk of personal/sensitive information disclosure associated with the released data;
  • Define knowledge-based and explainable solutions enabling users to: (i) access genuine content in an environment of free access to information and freedom of expression, and (ii) be informed of how the process of assessing the genuineness of information has unfolded;
  • Investigate the relationship between the release of personal/sensitive data and access to potential misinformation, both before and after the adoption of the proposed solutions

Info

Principal Investigator: Cristiana Di Valentin
PI and WP Leader: Cristiana Di Valentin
Funding Agency: European Union – Next Generation EU
Budget: 910.000 Euro
Period: 01/06/2019 – 04/06/2023
Website: https://ikr3.disco.unimib.it/projects/

Models in Decision Making and Data Analysis

enza.messina@unimib.it
123456789
Viale Sarca 336, Milan – Building U14, 2nd Floor, Room 1042

Models in Decision Making and Data Analysis

enza.messina@unimib.it

123456789

Viale Sarca 336, Milan – Building U14, 2nd Floor, Room 1042

eJRM – Gestione Elettronica delle Relazioni con il Sistema Giustizia

The MIND research laboratory is involved in numerous projects that address issues related to Natural Language Processing, Machine Learning, Optimization and Network Analysis

eJRM – Gestione Elettronica delle Relazioni con il Sistema Giustizia

About

The EXAMPLE project is funded by the Italian Ministry of Research under the PRIN 2022 call with three research units involved: the University of Turin (Prof. Luigi Di Caro), the University of Milan (La Statale) (Prof. Giovanni Livraga) and the University of Milano-Bicocca (Prof. Marco Viviani).

The EXAMPLE Project stems from observing recent dynamics in considering the protection of users’ data and privacy, and users’ access to potential misinformation, through EU regulations and guidelines. A key aspect is the balance between the rights to confidentiality, autonomous decision-making, free access to information, and freedom of expression. To do this, the Project aims at:

  • Define explainable knowledge-based solutions enabling users to: (i) specify and have enforced protection requirements over their personal/sensitive data and (ii) assess the risk of personal/sensitive information disclosure associated with the released data;
  • Define knowledge-based and explainable solutions enabling users to: (i) access genuine content in an environment of free access to information and freedom of expression, and (ii) be informed of how the process of assessing the genuineness of information has unfolded;
  • Investigate the relationship between the release of personal/sensitive data and access to potential misinformation, both before and after the adoption of the proposed solutions

Info

Principal Investigator: Cristiana Di Valentin
PI & WP Leader: Cristiana Di Valentin
Funding Agency: European Union – Next Generation EU
Budget: 910.000 Euro
Period: 01/06/2019 – 04/06/2023
Website: https://ikr3.disco.unimib.it/projects/

Models in Decision Making and Data Analysis

enza.messina@unimib.it
123456789
Viale Sarca 336, Milan – Building U14, 2nd Floor, Room 1042

Models in Decision Making and Data Analysis

enza.messina@unimib.it

123456789

Viale Sarca 336, Milan – Building U14, 2nd Floor, Room 1042

Realtà Aumentata e Story-Telling Automatizzato per la valorizzazione di Beni Culturali ed Itinerari Turistici in area di specializzazione Cultural Heritage

The MIND research laboratory is involved in numerous projects that address issues related to Natural Language Processing, Machine Learning, Optimization and Network Analysis

Realtà Aumentata e Story-Telling Automatizzato per la valorizzazione di Beni Culturali ed Itinerari Turistici in area di specializzazione Cultural Heritage

About

The EXAMPLE project is funded by the Italian Ministry of Research under the PRIN 2022 call with three research units involved: the University of Turin (Prof. Luigi Di Caro), the University of Milan (La Statale) (Prof. Giovanni Livraga) and the University of Milano-Bicocca (Prof. Marco Viviani).

The EXAMPLE Project stems from observing recent dynamics in considering the protection of users’ data and privacy, and users’ access to potential misinformation, through EU regulations and guidelines. A key aspect is the balance between the rights to confidentiality, autonomous decision-making, free access to information, and freedom of expression. To do this, the Project aims at:

  • Define explainable knowledge-based solutions enabling users to: (i) specify and have enforced protection requirements over their personal/sensitive data and (ii) assess the risk of personal/sensitive information disclosure associated with the released data;
  • Define knowledge-based and explainable solutions enabling users to: (i) access genuine content in an environment of free access to information and freedom of expression, and (ii) be informed of how the process of assessing the genuineness of information has unfolded;
  • Investigate the relationship between the release of personal/sensitive data and access to potential misinformation, both before and after the adoption of the proposed solutions

Info

Principal Investigator: Cristiana Di Valentin
PI and WP Leader: Cristiana Di Valentin
Funding Agency: European Union – Next Generation EU
Budget: 910.000 Euro
Period: 01/06/2019 – 04/06/2023
Website: https://ikr3.disco.unimib.it/projects/

Models in Decision Making and Data Analysis

enza.messina@unimib.it
123456789
Viale Sarca 336, Milan – Building U14, 2nd Floor, Room 1042

Models in Decision Making and Data Analysis

enza.messina@unimib.it

123456789

Viale Sarca 336, Milan – Building U14, 2nd Floor, Room 1042

[ULTRA OPTYMAL] Urban Logistics and sustainable TRAnsportation: OPtimization under uncertainTY and MAchine Learning

The MIND research laboratory is involved in numerous projects that address issues related to Natural Language Processing, Machine Learning, Optimization and Network Analysis

[ULTRA OPTYMAL] Urban Logistics and sustainable TRAnsportation: OPtimization under uncertainTY and MAchine Learning

About

The EXAMPLE project is funded by the Italian Ministry of Research under the PRIN 2022 call with three research units involved: the University of Turin (Prof. Luigi Di Caro), the University of Milan (La Statale) (Prof. Giovanni Livraga) and the University of Milano-Bicocca (Prof. Marco Viviani).

The EXAMPLE Project stems from observing recent dynamics in considering the protection of users’ data and privacy, and users’ access to potential misinformation, through EU regulations and guidelines. A key aspect is the balance between the rights to confidentiality, autonomous decision-making, free access to information, and freedom of expression. To do this, the Project aims at:

  • Define explainable knowledge-based solutions enabling users to: (i) specify and have enforced protection requirements over their personal/sensitive data and (ii) assess the risk of personal/sensitive information disclosure associated with the released data;
  • Define knowledge-based and explainable solutions enabling users to: (i) access genuine content in an environment of free access to information and freedom of expression, and (ii) be informed of how the process of assessing the genuineness of information has unfolded;
  • Investigate the relationship between the release of personal/sensitive data and access to potential misinformation, both before and after the adoption of the proposed solutions

Info

Principal Investigator: Cristiana Di Valentin
PI & WP Leader: Cristiana Di Valentin
Funding Agency: European Union – Next Generation EU
Budget: 910.000 Euro
Period: 01/06/2019 – 04/06/2023
Website: https://ikr3.disco.unimib.it/projects/

Models in Decision Making and Data Analysis

enza.messina@unimib.it
123456789
Viale Sarca 336, Milan – Building U14, 2nd Floor, Room 1042

Models in Decision Making and Data Analysis

enza.messina@unimib.it

123456789

Viale Sarca 336, Milan – Building U14, 2nd Floor, Room 1042

Modeling Attributes and Relationships in Graph Structures

O1-A1: Deep Attributed Graph Embedding

Modeling Attributes and Relationships in Graph Structures

About

The EXAMPLE project is funded by the Italian Ministry of Research under the PRIN 2022 call with three research units involved: the University of Turin (Prof. Luigi Di Caro), the University of Milan (La Statale) (Prof. Giovanni Livraga) and the University of Milano-Bicocca (Prof. Marco Viviani).

The EXAMPLE Project stems from observing recent dynamics in considering the protection of users’ data and privacy, and users’ access to potential misinformation, through EU regulations and guidelines. A key aspect is the balance between the rights to confidentiality, autonomous decision-making, free access to information, and freedom of expression. To do this, the Project aims at:

  • Define explainable knowledge-based solutions enabling users to: (i) specify and have enforced protection requirements over their personal/sensitive data and (ii) assess the risk of personal/sensitive information disclosure associated with the released data;
  • Define knowledge-based and explainable solutions enabling users to: (i) access genuine content in an environment of free access to information and freedom of expression, and (ii) be informed of how the process of assessing the genuineness of information has unfolded;
  • Investigate the relationship between the release of personal/sensitive data and access to potential misinformation, both before and after the adoption of the proposed solutions

Info

Principal Investigator: Cristiana Di Valentin
PI & WP Leader: Cristiana Di Valentin
Funding Agency: European Union – Next Generation EU
Budget: 910.000 Euro
Period: 01/06/2019 – 04/06/2023
Website: https://nomedeltito.it

Models in Decision Making and Data Analysis

enza.messina@unimib.it
123456789
Viale Sarca 336, Milan – Building U14, 2nd Floor, Room 1042

Models in Decision Making and Data Analysis

enza.messina@unimib.it

123456789

Viale Sarca 336, Milan – Building U14, 2nd Floor, Room 1042