One of the many interesting aspects of running a general-purpose grant writing firm is that we are often called upon to write complex proposals covering subjects about which we know little or nothing, as I discussed in No Experience, No Problem: Why Writing a Department of Energy (DOE) Proposal Is Not Hard For A Good Grant Writer. In the interest of “transparency,” perhaps the most overused and least realized word of the last few years, here’s how this is possible.
Start by reading the RFP very carefully. In many cases, the RFP will say exactly what the applicant is supposed to do, as I described tangentially regarding the Department of Labor’s YouthBuild program in True Believers and Grant Writing: Two Cautionary Tales. State RFPs for the 21st Century Community Learning Centers (21st CCLC), a federal pass-through program from the Department of Education, often do the same thing. In such “cookbook” RFPs, precise descriptions of how the program should run, including detailed activities and metrics, are presented in plain, albeit bureaucratic, English. In extreme cases, simply copy the listed activities and re-write in breathless proposalese and, voila, you have your program description.
Occasionally, however, even mature cookbook programs like YouthBuild get updated, requiring going deeper than just reading the RFP recipe. For example, the last YouthBuild RFP in FY 2009 required for the first time that YouthBuild trainees be trained for “green jobs” and that labor-market information (LMI) be provided to support the need for these green jobs. Two minor problems: the RFP failed to provide a definition of green jobs. And states do not track such data because nobody knows what a green job is.
Don’t believe me? Google the phrase, “federal green job definition” and see what you get. I just did and found this hilarious or depressing, depending on your point of view, Christian Science Monitor article, Obama to create 17,000 green jobs. What’s a green job?. The article discusses President Obama’s recent announcement of “17,000 green jobs” being created. Then the article states, “Which is great, except that no one can count green jobs because, fundamentally, no one knows what a green job is.” Since I didn’t know what a green job was and apparently neither did the Department of Labor, for purposes of writing the YouthBuild proposals we completed last year, we simply referred to a lot of green-sounding jobs that we dreamed up (e.g., Weatherization Specialist, Solar Panel Installer, Wind Turbine Mechanic, etc.) and cobbled together vague LMI data to support our imaginary green job career paths (think phantom data). We must have done something right, as four out of the five proposals were funded.
Given the above, I was delighted when the Department of Energy recently released a Funding Opportunity Announcement (FOA) for the Weatherization Assistance Program (WAP). Last year’s Stimulus Bill brought this program to life. WAP will fund training to prepare low-income people for careers as Weatherization Specialists. We squared the circle by writing a WAP proposal, even though we knew nothing about weatherization. We accomplished this slight-of-hand by looking at a link the DOE thoughtfully buried in the FOA for suggested curriculum for the training. A general knowledge of job training for hard-to-train participants and a quick re-write of the curriculum later, and the program description was extruded from our solar-powered proposal writing machine (we used to use diesel, but switched to solar to create more green jobs).
Here’s another example. We just completed writing a proposal for the EPA’s Great Lakes Restoration Initiative, which funds fairly esoteric water quality research. Once again, we knew nothing about this topic. In an unusual circumstance, we actually received great technical content from the PI on the project, who is a biology professor at the public university which hired us. He was very skeptical about our ability as general purpose grant writers to write a scientific research proposal until I told him he just had to provide us with a bulleted list of the five W’s and the H. Then the light went on for him. I received a couple of pages of bullet points a few days later. We fired up the proposal machine and out popped the project description. After the PI read our second draft, he sent an e-mail that said, “I do think it [the proposal] is going together nicely.” Another convert to the Seliger method.
To summarize the above meandering, here is how one writes about an unfamiliar topic:
- Look for clues in the RFP and any provided links.
- Visualize how the project would work within the context of your individual life experiences. Even though I have no idea what a Weatherization Specialist does, I have plenty of experience in trying to keep the rain out of the several houses I owned in Seattle.
- Use your imagination. I have no idea of how stream sampling is actually performed, but I guessed correctly that undergrads would dip little bottles into the stream and take copious field notes. The only thing that surprised me is that the notes are not entered into a handheld computer, but carefully written long hand in notebooks, just like in Charles Darwin’s day. Apparently, the lilly pad is not ready for the iPad.
- Leave lots of blanks in your first draft for your client or whoever actually knows something about the project and is willing to read the draft, such as, “Stream sampling will be conducted on a _____ basis by ______________ at _________ locations by the light of the full moon.”*
- Ask for technical content. If not, write the first draft with even more blanks, as above, and hope the content appears in the comments on the first draft. Should you not receive any technical content, write everything in generalities or guess. Since many proposals are reviewed by people with limited or no understanding of the topic, your guesses may get the job done.
No matter what strategies you use to write about a completely unfamiliar topic, the grant writer’s task is to provide a complete and technically responsive proposal, not run the program after the grant is awarded. So be creative! To illustrate the point, here is an old joke about traffic engineering consultants who develop statistical models that will predict how many people will turn left at a given intersection on Wednesday afternoon in 2030:
Two traffic engineers are stranded on a desert island with several hundred cans of food and no can opener. One looks at the other and says, “what should we do?” The other smiles and says, “imagine a can opener.”
Start imagining can openers and you will be fine.
* No, I would not actually put in “by the light of the full moon.” But since there is a dreadful remake in the theaters now of one of my favorite horror movies, The Wolfman, I was reminded of Lon Chaney, Jr. as the afflicted Larry Talbot, who is told that “even a man who is pure in heart and says his prayers by night may become a wolf when the wolfbane blooms and the autumn moon is bright.”