Mental Health Datathon

The School of Computing, Engineering and Intelligent Systems at Ulster University are hosting a virtual datathon on the subject of mental health from 22-24 March 2021. This event is designed to bring together academics at various career stages to work on problems associated with mental health and COVID-19, using the power of data science. The datathon is organised by experts in the fields of data science, computer science, engineering and psychology. The three-day workshop runs from 10am – 1pm daily and is free to attend.

Register your interest

Date & Time

The Datathon will take place online via DigiLounge on 22-24 March 2021 from 10am - 1pm daily.

Participants will be sent joining details prior to the event.

About the event

The Mental Health Datathon is a data hackathon where well prepared, real-world datasets are the foundation of the challenge. On the first day, datasets relating to mental health and COVID-19 will be presented, as well as the problems and challenges within this area. Participants will have access to the datasets prior to the event.

During the event, participants will work in collaborative groups that will comprise of a diverse variety of people. These groups will consider the various challenges and work through them, bringing knowledge from a wide array of perspectives, to see what they can come up with together. The event will involve brainstorming, group discussions, data analysis, interpretation and networking. On the final day, each group will present their progress and any findings. Findings may be shared with heath care and charity organisations.

The structure of this event will facilitate participants from diverse backgrounds and at different stages of their career, e.g. researchers, academics and senior academics, to approach a variety of problems and challenges. Inclusive group dynamics will allow participants to observe and learn from each other and consider how other people define and solve problems in different ways, utilising different methods. Participants will be encouraged to share their research and opportunities will be provided for this.

Online mediums to include Slack and LinkedIn will be used to disseminate information pre- and post-event to encourage early participation and network development as well as to disseminate the outputs of the event.

Aim

The aim of the datathon is to encourage collaboration between academics at various career stages and from a range of areas of expertise. Participants will work in groups of up to 6 people on problems associated with mental health whilst developing relationships to widen and enrich their academic networks.

Funding for the Workshop

The datathon is funded by the University of Bath via their Reimaging Recruitment project. Reimagining Recruitment is a study funded by the Engineering and Physical Sciences Research Council (EPSRC) through their Inclusion Matters Scheme. The project aims to improve equality, diversity and inclusion within engineering and the physical sciences by exploring how to drive culture change surrounding academic recruitment, especially at early career stages.

Get more information about the Reimaging Recruitment Project

As part of this project, some participants may be asked to volunteer to fill in questionnaires, be interviewed by the Reimaging Recruitment research team or take part in a focus group.

Datathon Organising Committee

  • Courtney Gallagher
  • Anna Harley
  • Shuo Liu
  • Dr Debbie Rankin
  • Dr Michaela Black
  • Prof Sonya Coleman
  • Elaine Duffy
  • Dr Edel Ennis
  • Dr Finola Ferry

Schedule

Monday 22 March

Schedule for Monday 22 March
TimeActivity
10am to 10:45am Welcome, Introductions & Presentation of Problems
10:45am to 11:30am Teams getting to know each other, icebreakers, and brainstorming
11:30am to 11:45am Break in Tech Cafe
11:45am to 1pm Participants working on problems

Tuesday 23 March

Schedule for Tuesday 23 March
TimeActivity
10am to 10:15am Welcome to Day 2
10:15am to 11:30am Participants briefly discuss their own work and/or discussion of progress
11:30am to 11:45am Break in Tech Cafe
11:45am to 1pm Participants continuing to work on problems

Wednesday 24 March

Schedule for Wednesday 24 March
TimeActivity
10am to 10:15am Welcome to the Final Day
10:15am to 11:30am Teams giving presentations on their findings
11:30am to 11:45am Break in Tech Cafe
11:45am to 12:45pm Remaining teams present their findings
12:45pm to 1pm Final discussion and thanking everyone for their participation

Registration

This event will be in high demand and places are limited. Therefore, there may be a selection process to ensure there is a good variety of skills in each group. It is encouraged that those interested in taking part in this event apply as soon as possible.

If all tickets are sold, please add yourself to the waitlist to be contacted in the event someone can no longer attend the event.

Register your interest


Who can attend?

We are seeking attendees from all career stages within academia, from PhD Researchers to Professors, to collaborate and work on interesting problems in mental health by harnessing the power of data and data science methods.

Contact Us

If you have any questions or would like more information about this event, please contact us at:

sceis.datathon@gmail.com