I have negotiated research time during residency. Over 4 years of residency, I will get a total of 8 months. I am very glad to be getting any time at all, but I think we all realize that 8 months is not very much. Nevertheless, I'm thinking about different ways of distributing the time.
From what I've seen, there are two basic ways to use the time: Massed (all at once) or interleaved (distributed across time).
Main Benefit of Massed: Ability to do labor-intensive experiments or analysis that requires long stretches of uninterrupted time.
Main drawback of Massed: Long periods of time (years) out of science and with no lab activity.
The benefit of interleaved (distributed) is that you can maintain continuous activity and productivity, albeit still with gaps (weeks to months). Not all kinds of science is amenable to these gaps. I think science where the experimentation can get done in short bursts and then analysis can be done outside the lab, are well-suited to distributed time models. And with the help of a tech, the experiments keep going. I'm inclined to favor this model. I do genomics, so I'm used to getting a lot of data quickly and then spending more time analyzing.
So the decision then becomes, how to split up the time?
Anyway, what do you all think?
Distributed vs massed the better way to go? And if so, one week at a time or one month at a time?
From what I've seen, there are two basic ways to use the time: Massed (all at once) or interleaved (distributed across time).
Main Benefit of Massed: Ability to do labor-intensive experiments or analysis that requires long stretches of uninterrupted time.
Main drawback of Massed: Long periods of time (years) out of science and with no lab activity.
The benefit of interleaved (distributed) is that you can maintain continuous activity and productivity, albeit still with gaps (weeks to months). Not all kinds of science is amenable to these gaps. I think science where the experimentation can get done in short bursts and then analysis can be done outside the lab, are well-suited to distributed time models. And with the help of a tech, the experiments keep going. I'm inclined to favor this model. I do genomics, so I'm used to getting a lot of data quickly and then spending more time analyzing.
So the decision then becomes, how to split up the time?
- From a logistical standpoint for staffing clinical services, month at a time is probably the easiest, since rotations usually happen on blocks of months. With 2 months per year, that will leave large gaps where I will not be in lab
- So I've been thinking about one week per month. That would give 8 weeks. If you're efficient, a week is useful unit of time. You can actually get stuff done in that time if you're teed up. And you can maintain a more regular presence in the lab.
- Lastly, there is one day per week, which some programs advertised when I interviewed. A day is really not much, and more importantly, I find task-switching really challenging. I need a day just to switch modes. When I'm no longer a trainee, I would rather do one week a month clinical than one day a week, as many do. I've seen some young MD-PHD faculty at my home institution, and that one clinical day bleeds into the next . You're really 60/40 at that point, and not 80/20. But I digress.
Anyway, what do you all think?
Distributed vs massed the better way to go? And if so, one week at a time or one month at a time?