AI for Mental Health Monitoring

Latest Update

We are pleased to report that this event has successfully concluded. Thank you to everyone who made it possible. We hope to run similar sessions for knowledge exchange in the future and look forward to seeing you there.

About

As a part of the Turing’s AI UK 2024, the Data Science for Mental Health (DS4MH) and Natural Language Processing (NLP) interest groups jointly organised a Fringe Event on AI and mental health.

This hybrid event featured a series of invited talks, expert-led panel session, and opportunities for poster and demo presentations.

Details

  • Date: Thursday 28th March 2024
  • Time: 10.00am-5.00pm (GMT)
  • Location: Voluntary Action Islington, 200A Pentonville Rd, London N1 9JP and Online.

Getting There

  • Closest tube stations: King’s Cross St. Pancras, Angel.
  • Closest bus stops: Kings Cross Road, Penton Rise.

Once you arrive at the address, please go to the 2nd floor and check in at the reception. The receptionist will guide you to the conference room (turn right then right again from the reception).

Contact

  • For questions, please get in touch with the interest group organisers directly or email: jchim[at]turing.ac.uk and ahills[at]turing.ac.uk.

Registration


Speakers

We are pleased to welcome:


Schedule

Please note the schedule has been updated (Latest: 2024/03/27).

  • 9.30am - 10.00am - Registration and Coffee
  • 10.00am - 10.10am: Opening Remarks (10 minutes)
  • 10.10am - 11.10am: Talks (Part 1) - (60 minutes)
    • Prof. Robert Stewart: “In Search of Healthcare Data Granularity via Natural Language Processing”
    • Prof. Ann John: “DATAMIND and AI - Challenges and Opportunities”
  • 11.10am - 12.05pm: Coffee break, Posters and Demos (55 minutes)
  • 12.05pm - 1.05pm: Talks (Part 2) - Remote Speakers - (1 hour)
    • Prof. Dana Atzil-Slonim: “Optimizing Mental Health Outcomes through the Integration of Clinical Expertise and Artificial Intelligence”
    • Prof. Philip Resnik: “Beyond Diagnosis Prediction: The Value of Understanding Experiences”
  • 1.05pm - 2.05pm: Lunch Break, Posters and Demos (1 hour)
  • 2.05pm - 3.05pm: Talks (Part 3) - (1 hour)
  • 3.05pm - 3.20pm: Coffee break (15 minutes)
  • 3.20pm - 4.05pm: Panel (45 minutes)
    • Topic: “The Future of AI for Mental Health Support
    • Moderator: Prof. Maria Liakata
  • 4.05pm - 4.50pm: Breakout sessions (45 minutes)
  • 4.50pm - 5pm: Closing Remarks (10 minutes)