Hey Ian,
I'm on a similar schedule working memory-wise, although without usage of any nootropics.
My bestof working techniques for improving creativity:
-First, figuring out what you actually want to achieve. Best working techniques for this are:
- Questorming: For exploring the boundaries of areas ripe with unknown unknowns. The core question here is "What is the best question I can ask here?", then similarly to brainstorming, ask as many questions as possible, while withholding criticism. Refs: Original, applied to businesses
- Forced fit: If you can have 2 dimensions of a specific problem, and a quick way to evaluate a solution (even just by eyeballing), you can list the dimensional aspects, group them into X, and Y axes, fill out a table with all the relationships between specific X-Y values, and evaluate all rows individually, searching for global maximum. Awesome for semi-random idea generation.
- The 3 layers of idea creation might be useful: Copying / Emulation, Time-consuming tinkering, and idea combination
- One of the better ways how I make idea combination a reality is via the Cards system:
"...Luhmann claimed that his file was something of a collaborator in his work, a largely independent partner in his research and writing. It might have started out as a mere apprentice when Luhmann was still studying himself (in 1951), but after thirty years of having been fed information by the human collaborator it had acquired the ability of surprising him again an again. Since the ability of genuinely surprising one another is an essential characteristic of genuine communication, he argued that there was actually communication going on between himself and his partner in theory. ..." [
source]
My implementation of this is a tiny cards system, with a many-to-many relationship between wiki-editable "cards", and articles; each article being an aspect from which a card should be observed. Eg. the core card for affiliate marketing is included both in "Startup marketing", and "Startup business models", which makes sure the same idea is considered from multiple perspectives.
-This should go without saying, but talk to people. Talk to your professors, go to relevant association events / business conferences, talk to people within the industry; talk to other PHDs, talk to freshman. For each, and every one of these guys, find the angle by which they are better than you. Industry people tend to know the difference between intellectual cargo-culting, and real, working methods; freshman knows what people 10 years down the line are going to use (after all, he's one of them). All of these perspectives should enlighten your work.
"...Larry and Sergey almost always felt that more viewpoints meant better decisions. It's fundamental to the way Google itself works and they applied the principle across the board. As long as the individual voices don't coalesce into cacophony, value can be harvested from each perspective for the overall improvement of any project...." (from Xooglers, a now-defunc ex-googlers blog)
-One of the better books on the subject is Jack's Notebook, which describes the CPS ideation process. Highly recommended work. A quick technique I got out of it, is framing questions with the phrase: "In what ways might we...."; eg: "In what ways might we sidestep this O(n^2) algorithm?", or "In what ways might we get the most learning XP out of this material?". Framing it this way, answers tend to come up more naturally, and with a statistically significantly less headbanging :)
-Do counter-factual situation explorations on a daily basis:
"
...Counterfactual Simulation is one of our most powerful (and underused) capabilities. Instead of waiting for your brain to simulate a potential course of action, Counterfactual Simulation allows you to “force” your brain to run the simulations you want it to run. When you run a Counterfactual Simulation, you assume the event or end state you’re simulating is already true. By supplying your mind with an artificial destination, it will automatically start to fill in the blanks between point A and point B. When I ran the simulation on leaving P&G, I assumed that it was definitely going to happen, then figured out how it would be possible...." [From the
Personal MBA ,which also have a large array of mental tools]
Once you have a number of different ideas, you'll need a way to evaluate them quickly according to your real preferences; for this, take a portfolio approach: simple spreadsheet with actions in the rows, and impact, and probability on the columns. Evaluate each action's probability of success, and impact of success (on a 1-7 scale), then multiply them together to see a final score for each action. Sort by this final score descending, and you have a priority list of your portfolio, WITH next-best-alternatives (things you can fall back onto) inherently built-in.
-Keep your ideation-actioning-evaluation loop tight. Until you act, you have nothing except words on a page. Once you act, you'll need to know how you're doing as fast as possible; then probably you will want to re-plan. Most PHDs never even get through this loop once. You can do better than that.
-A paragraph of caution about PHD research specifically:
"...
Let me talk a little bit as a rare case: I've worked now under 7 advisors on 7 different projects and now I'm finally almost done. Most of the projects have been as you describe: "after almost a year, it is fair to say that I have good view of the project and it is almost surely a giant failure."
That's how most projects are. I'm not sure why, but I think it has to do with the fact that the projects are "planned research." The process of getting funding requires planning something that is intrinsically impossible to plan. You write a grant on hope, with the large picture in mind and then you get down to the details and things don't work out. This is normal.* Especially on the time frame of a new graduate student, it seems terrible.
To some extent, though, the system works. It does so for the same reason that some startups work: because as you look at the details you find new things that you couldn't have predicted. Those new things are your research. I'm working on a "failed project." But after 1.5 years working on it I am ready to begin writing a dissertation that I am proud of. Why? Because I found neat things along the way. That's how it works.
If you are in a good lab and surrounded by good people, I would recommend that you don't focus as much on the larger project as on learning all you can from the people around you and on understanding the details that your project will lead you to focus on. It is in helping other people, tracking down details, and playing with interesting questions that you will find the great science, not directly through the success of the larger project.
-You will need to know how to formulate questions with high leverage, when reaching out for industry folks. These usually take the form of "I'm working on problem X applied to problem Y; I've tried so far Z1, Z2, and Z3, with A1,A2,and A3 results; but I'm stuck at B". Formulated this way, it's much easier to pattern-match what your blindspots are.
-Also, hey, I <3 academic research, as long as it has real-life applications, drop me a mail once you get through these, and are stuck :)
Hope these helps,
-SDr