Summarize this content material to 1000 phrases 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 geared 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 how one can apply a spread of epidemiological technique 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 in the event you’re unsure you belong as a result of the occasions are absolutely accessible to each researcher, regardless 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 geared toward figuring out self-harm-related options or signs from the SAIL databank. Trying forward, my analysis goals to discover the profound influence of sexual assaults on psychological well being, self-harm, and suicide amongst females.
How did you discover out in regards to the DATAMIND workshop?
The primary time I turned conscious of the DATAMIND-MQ Epidemiological Strategies Workshop was by means 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 business finest 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 data and exploring potential collaboration alternatives.
What had been the highlights for you?
The workshop proved to be an enlightening expertise. Exploring matters equivalent to Multivariable evaluation to sort out confounding bias and mediation evaluation was extremely insightful. Partaking in group discussions was equally rewarding, as every crew’s creativity shone brightly.
The range of data and recent 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 varied universities sharing their ongoing or revealed papers. The chance to pose questions and achieve insights into the trajectory of psychological well being epidemiology developments 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 data, 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 skilled in suicidology and Psychiatry at King’s Faculty London. Our dialogue on my future work concerning sexual assault and its influence 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 data of MQ was considerably restricted. It was solely by means 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 data is shared, and careers are nurtured by means 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 atmosphere that’s open and pleasant, stuffed with people wanting to be taught and broaden their horizons by means 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 tackle a mess of challenges, providing a wonderful start line whether or not you goal to broaden your data, keep up to date on new analysis and applied sciences, construct beneficial connections, or discover coming into this subject.
Would you suggest this occasion to different ECRs (Early Profession Researchers)?
Unquestionably! 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’ll undoubtedly discover the workshop beneficial. The coordinators meticulously information individuals by means of every evaluation, guaranteeing 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 give attention to psychological well being knowledge science.
DATAMIND is the hub for Psychological Well being Science, working to make finest use of psychological well being knowledge and to assist make coordinated analysis doable within the subject. With MQ’s help 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 e-newsletter on the backside of this web page.
DATAMIND-MQ Psychological Well being Workshop One Attendee’s Expertise
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