Researchers with expertise in different
Posted: Thu Feb 06, 2025 9:05 am
The National Core Study programme was specifically created as part of the UK’s response to the pandemic. fields, ranging from public policy to mental health, and proficient in using different datasets, came together, all united by the goal to answer research questions about Covid-19 and its implications.
Two aspects of my daily work have changed canada rcs data since being part of this programme. Firstly, the team I work in has become much bigger, which has rapidly increased the number of weekly meetings I have to attend. I now have to be much more organised, so I can balance these extra meetings with my existing commitments. Secondly, I am now working directly with health researchers, which up until now I have had little experience of as my previous work was predominantly focused on social and economic inequalities. As the terminology and approaches vary across disciplines, I have had to become more open-minded and quickly adjust to different ways of thinking in this new interdisciplinary team.
What were the key successes and challenges you encountered during the project, in terms of handling the data using cross-disciplinary methods?
For me the key aspect of any interdisciplinary collaboration is clear and open communication. This can be tricky because every discipline has its own terminology and jargon that is familiar to everyone within the discipline, but not immediately obvious to researchers from other disciplines. So it was initially quite intimidating to be in meetings with people using unfamiliar terms.
Two aspects of my daily work have changed canada rcs data since being part of this programme. Firstly, the team I work in has become much bigger, which has rapidly increased the number of weekly meetings I have to attend. I now have to be much more organised, so I can balance these extra meetings with my existing commitments. Secondly, I am now working directly with health researchers, which up until now I have had little experience of as my previous work was predominantly focused on social and economic inequalities. As the terminology and approaches vary across disciplines, I have had to become more open-minded and quickly adjust to different ways of thinking in this new interdisciplinary team.
What were the key successes and challenges you encountered during the project, in terms of handling the data using cross-disciplinary methods?
For me the key aspect of any interdisciplinary collaboration is clear and open communication. This can be tricky because every discipline has its own terminology and jargon that is familiar to everyone within the discipline, but not immediately obvious to researchers from other disciplines. So it was initially quite intimidating to be in meetings with people using unfamiliar terms.