funding - How to quantify the loss in productivity due to time spent on writing proposals

During my PhD it bothered me how much time my supervisor had to spend on writing proposals to get funding to do science, which in practice pretty much meant that he had no time to do science because he spent all that time in the time-consuming business of getting money.

As I was finishing my PhD and looked at postdoc opportunities, I wrote myself a project proposal for starting investigators in which I spent overall about one month (literature review, securing collaborators, writing itself, etc). This was very competitive and only one in every 100 applicants got funded - I did not get funding, although I made it to the interviews, which I was told meant I made it to the top 10%. I am not completely unsatisfied about the outcome because I gained experience and contacts, which eventually led me to being offered a postdoc position by one of the people I had included as collaborators. However, the whole process of putting the thing together meant I lost about one month that I could have spent doing science. It also made me realize that even writing a high quality proposal in which I had spent a lot of time working on the details would not necessarily lead to guaranteed success. If only 1% of applicants get funded it means that statistical noise alone is enough to push you out of the winners pool!

Now that I am a postdoc I have to spend some time helping my new boss with his proposals and in the near future (maybe in the next year) I will have to start applying to some competitive project money myself. Again, this means that I will not be doing research during that time and will spend a considerable amount of time trying to get that research funded.

How can this loss of productivity be quantified? Are there studies on how much less research is carried out because of the time spent on competitive hard-to-win grant calls?

Answer

I think the question is barking up the wrong tree, to mix metaphors.

As you proceed through the researcher lifecycle (Ph.D. student -> postdoc -> professor), your responsibilities will change. For instance, one popular criterion for paper authorship in psychology is that one should have contributed to two out of the following four aspects of research:

1. Grant acquisition



2. Data acquisition


3. Data analysis


4. Manuscript preparation

As a Ph.D. student, you will mainly work on 2-4. The postdoc will spend less time in the lab (point 2), more on 3-4... and he will also start working on grants (point 1). Finally, the professor will mainly focus on points 1 and 4, to a degree on 3. However, the bottom line is that all four activities are "doing research", since grants are just the way money is allocated to competing research groups nowadays. (Of course, one could argue that it would be better if funding were just distributed equally among researchers, but that seems to be a different question.)

Similarly, in industry you could wonder how much time, money and energy is spent on marketing, pre-sales and sales activities and how all these resources could be much better spent on R&D, production and actually serving customers. But this would miss the point that without salespeople, there would not be any customers, nor money to spend on all the things the non-salespeople like to do. (And frequently, the conversion rate on business proposals is similar to the 1% you quote.)

So: don't see writing grants as a drain on productivity. Writing (and getting) grants is how you get the money to do everything else in science.