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DEPARTMENT FOR SCIENCE, INNOVATION AND TECHNOLOGY

AI-Based Support for Mental Health Communication (AIM-Health)

IATI Identifier: GB-GOV-26-ISPF-MRC-UECGX9X-8SL53G4-PMRK4NP
Project disclaimer
Disclaimer: The data for this page has been produced from IATI data published by DEPARTMENT FOR SCIENCE, INNOVATION AND TECHNOLOGY. Please contact them (Show Email Address) if you have any questions about their data.

Description

Depression is a mental health disorder that affects a large portion of the global population, being the second largest contributor to a decrease in healthy life expectancy. Depression is characterised by a clinically significant form of psychological suffering that leads to significant impairment in someone's functionality, reduced quality of life and, in severe cases, can lead to death due to the risk of suicide. However, according to the World Health Organization, only a quarter of individuals suffering from mental health disorders receive proper care. Advances in Artificial Intelligence (AI) and Natural Language Processing (NLP) research have been developed to a level that can be used for proposing computational solutions that assist in the detection and intervention in mental health conditions. AI and NLP based solutions that aid in the identification of signs of depression can be useful both in individual treatment and in making public policy decisions. Similarly, solutions that offer autonomous, ethical, reliable, controlled, and engaging intervention, in real time, can help mitigate the damage caused by depression. This project works on proposing and developing AI and NLP based solutions for the detection and intervention of mental health conditions that can have a broader reach and allow mental health support to individuals and populations that would not otherwise have access to it. Furthermore, as social determinants are frequently mentioned as risk factors for mental health conditions, this project also aims at furthering the understanding about them in two contexts (Brazil and the United Kingdom). This project aims to address scientific challenges that are still present and very relevant in this context: (i) dealing with more abstract language (such as figurative language) commonly used in mental health self-narratives, and (ii) outputting personalised interventions suitable for an individual's context.

Objectives

ISPF aims to foster prosperity by solving shared global research and innovation challenges. This will be done through working closely with international partners to: support research excellence and build the knowledge and technology of tomorrow strengthen ties with international partners that share our values; enable researchers and innovators to cultivate connections, follow their curiosity and pioneer transformations internationally, for the good of the planet. Activities under ISPF ODA aim to deliver research and innovation partnerships with low- and middle-income countries.


Location

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Brazil
Disclaimer: Country borders do not necessarily reflect the UK Government's official position.

Status Implementation

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Programme Spend

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Download IATI Data for GB-GOV-26-ISPF-MRC-UECGX9X-8SL53G4-PMRK4NP