Skip to main content
Przejdź do strony domowej Komisji Europejskiej (odnośnik otworzy się w nowym oknie)
polski pl
CORDIS - Wyniki badań wspieranych przez UE
CORDIS

Diagnostic Screening Platform to Facilitate Conflict Resolution

Cel

MultiDoor is a digital platform based on conflict resolution and machine learning expertise to address the comprehensive needs of litigants and recommend their best way forward to resolve their disputes. At present, litigants attempting to navigate through the civil justice system end up drifting through an incoherent, opaque process generally resulting in some form of reluctant compromise. While court systems worldwide are investing much effort to increase efficiency, a human-centred approach, which takes into account litigants' needs, interests and emotions, is lacking. MultiDoor employs an innovative intake screening recommendation system to integrate each litigant's (or potential litigant's) specific needs, interests and emotions, the features of the case, and the predicted case trajectory in the legal system, resulting in a diagnostic recommendation (e.g. mediation, arbitration, adjudication, out-of-the-box solutions). We describe the activities needed to develop a beta version of MultiDoor, including conceptual framing and validation. The activities include a crowdsourcing experiment to accumulate data on users’ satisfaction with conflict resolution-oriented processing of their disputes; developing forecasting models for user satisfaction; and developing a machine-learning based recommendation system. MultiDoor’s benefits include: 1) developing a new domain of conflict resolution machine learning via collaboration among data scientists and legal and conflict resolution experts; 2) advancing a personalized conflict resolution-oriented response to disputes, including to small non-litigable disputes; 3) promoting public trust and social wellbeing by ensuring that parties – including those from disenfranchised sectors – are informed and supported to self-determine how to resolve their disputes; 4) answering the current drawbacks of Online Dispute Resolution (ODR) systems, which focus mostly on legal issues rather than on the interests of the parties.

Dziedzina nauki (EuroSciVoc)

Projekt nie został jeszcze sklasyfikowany według klasyfikacji EuroSciVoc.
Wskaż dziedziny nauki, które twoim zdaniem są najbardziej istotne z punktu widzenia tego projektu i pomóż nam usprawnić naszą usługę klasyfikacji.

Program(-y)

Temat(-y)

System finansowania

HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants

Wyświetl wszystkie projekty finansowane w ramach tego programu finansowania

Zaproszenie do składania wniosków

(odnośnik otworzy się w nowym oknie) ERC-2022-POC1

Wyświetl wszystkie projekty finansowane w ramach tego zaproszenia

Instytucja przyjmująca

BAR ILAN UNIVERSITY
Wkład UE netto
€ 150 000,00
Koszt całkowity
Brak danych

Beneficjenci (1)