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In October 2023, DATAMIND hosted a workshop with MQ on Epidemiological Strategies.
Lead by skilled psychological well being epidemiologists, the workshop was one in a sequence aimed toward supporting early profession researchers who’re simply beginning out in Information science and psychological well being analysis. This workshop targeted on educating the researchers the best way to apply a variety of epidemiological methodology to typical questions in psychological well being analysis.
One early profession researcher, Saira Tahsin, attended one of many occasions, the DATAMIND MQ Workshop, in October and has kindly shared her experiences of the occasion.
For her, the message was to attend even if you happen to’re unsure you belong as a result of the occasions are totally accessible to each researcher, irrespective of your analysis profession pathway nor your stage of understanding of the subject.
Saira, thanks a lot for chatting with MQ Psychological Well being Analysis. Are you able to inform us a bit about your self?
I’m an early-stage researcher, proudly related to Swansea College, delving into the intriguing realm of knowledge science inside the area of inhabitants psychological well being.
My present analysis is on a novel machine studying algorithm aimed toward figuring out self-harm-related options or signs from the SAIL databank. Trying forward, my analysis goals to discover the profound affect of sexual assaults on psychological well being, self-harm, and suicide amongst females.
How did you discover out concerning the DATAMIND workshop?
The primary time I turned conscious of the DATAMIND-MQ Epidemiological Strategies Workshop was by way of my supervisor. As somebody with out an epidemiology background, I used to be in quest of a platform that might unravel the intricacies of epidemiological statistics and terminologies, and so making me a extra well-rounded researcher.
Why did you resolve to attend?
I hoped for a deeper comprehension of trade greatest practices in epidemiological strategies for psychological well being analysis. Secondly, I aimed to attach with fellow researchers from throughout the UK, with the aim of accessing their collective information and exploring potential collaboration alternatives.
What had been the highlights for you?
The workshop proved to be an enlightening expertise. Exploring subjects akin to Multivariable evaluation to deal with confounding bias and mediation evaluation was extremely insightful. Partaking in group discussions was equally rewarding, as every group’s creativity shone brightly.
The variety of information and contemporary views provided by fellow attendees added immeasurable worth to my studying journey.
What occurred after the workshop?
Following the workshop, the MQ and DATAMIND convention awaited us, that includes researchers from numerous universities sharing their ongoing or revealed papers. The chance to pose questions and achieve insights into the trajectory of psychological well being epidemiology traits was invaluable. As a specialist in machine studying, witnessing cutting-edge analysis in Medical Synthetic Intelligence (Med AI) was profoundly inspiring.
What did you be taught and what connections did you make?
I gained a broad vary of information, from the main points of epidemiology to the present state of psychological well being analysis.
Most notably, I made a major reference to Rina Dutta, a famend professional in suicidology and Psychiatry at King’s Faculty London. Our dialogue on my future work relating to sexual assault and its affect on psychological well being, self-harm, and suicide yielded important assets and an open invitation for additional collaboration.
What do you know about MQ earlier than the day?
Previous to the occasion, my information of MQ was considerably restricted. It was solely by way of my participation within the workshop and convention that I gained a profound understanding of MQ’s mission and targets.
What have you learnt about MQ now?
MQ, in my eyes, is an inclusive and welcoming neighborhood, the place information is shared, and careers are nurtured by way of networking and collaboration.
How would you describe the occasion to somebody who’s by no means been earlier than?
For many who have by no means skilled it, think about an surroundings that’s open and pleasant, full of people wanting to be taught and increase their horizons by way of networking.
Why do you assume occasions like this are necessary?
The importance of occasions like these within the scientific neighborhood can’t be overstated. They function conduits for cross-domain collaborations, fostering innovation and driving the scientific neighborhood ahead.
These occasions handle a mess of challenges, providing a wonderful place to begin whether or not you purpose to increase your information, keep up to date on new analysis and applied sciences, construct precious connections, or discover coming into this discipline.
Would you suggest this occasion to different ECRs (Early Profession Researchers)?
Definitely! I eagerly anticipate the following version of this occasion.
No matter your background, there’s something of substance for everybody to achieve. Attendees represented a various spectrum together with seasoned scientific and analysis consultants alongside newcomers like me.
Even in case you are a newbie in coding, you’d undoubtedly discover the workshop precious. The coordinators meticulously information individuals by way of every evaluation, making certain that people of all coding proficiency ranges can grasp and profit from the content material introduced.
All of us attending had been pushed by a shared ardour for deepening our understanding of epidemiology examine designs and statistics with a specific deal with psychological well being information science.
DATAMIND is the hub for Psychological Well being Science, working to make greatest use of psychological well being information and to assist make coordinated analysis attainable within the discipline. With MQ’s assist and facilitation, common occasions and workshops are held for researchers to come back collectively to be taught collectively and community with one another.
If you wish to attend the following occasion please signal as much as the quarterly Analysis Roundup publication on the backside of this web page.
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