I’ve been studying Ethereum, Solidity and AngularJS when there is spare time to do so, but it’s not exactly easy trying to learn new coding languages and complex concepts when stressing about everything else.
And even with all this, and the desire to build a blockchain voting app, what research would I be doing? I’m doing heaps of research on actually building the damn thing, but that doesn’t really count as “what new knowledge is the world getting, and what research methods – with attended statistic measures – are you applying to gain that knowledge?”
Research Methods Revisited
Here are the given research methods, and my rationale for possibly implementing them (or not):
Not really, unless I’m gauging how people use my application whilst it’s being built?
No, there’s nothing very scientific to be learnt (or rather, there’s no variables of independence and statistical testing that I can be bothered coming up with)
This is closer to the mark, but it would going off the results of using other systems. I’d need to find an electronic-voting system, and then gather as much information about it as possible. What I really want to study/implement, though, is a blockchain voting app, and I’m not aware of any that has been implemented in an actual political election. Perhaps a smaller, commercial scale case study?
But again, I want to build something, so not this.
testing a theory. Hmmm. Would that include “testing” whether the bloody thing works? No; although that is a quantifiable result, that is not a laboratorical (I made that word up!) experiment
Now this is promising, IMO. It still requires that I build – or bootstrap – a blockchain voting application, but it will also answer some crucial questions, like whether it’s actually worth building blockchain voting applications (for national votes, in particular; I’ve no doubt that blockchain voting at a corporate level is completely viable).
Form survey would be an easy way to get impressions about the system, and the culture surrounding the system.
not sure what this is. UPDATE – a form of questionnaire/reporting; the subjects provide their answers (self-report). This might more accurately reflect methodology I’m thinking of for above (form survey). Has the potential problem of mis-self-reporting due to biases etc.
This sounds good, but from the little I’ve looked up, it seems to be testing relationships of existing systems and how they’ve been implemented. This is probably an inaccurate assessment.
Some pertinent quotes on implementation research (although it’s about medical implementation research, from here):
Implementation research seeks to understand and work within real world conditions, rather than trying to control for these conditions or to remove their influence as causal effects. This implies working with populations that will be affected by an intervention, rather than selecting beneficiaries who may not represent the target population of an intervention (such as studying healthy volunteers or excluding patients who have comorbidities).
Implementation research is especially concerned with the users of the research and not purely the production of knowledge.
Implementation outcome variables describe the intentional actions to deliver services. These implementation outcome variables—acceptability, adoption, appropriateness, feasibility, fidelity, implementation cost, coverage, and sustainability—can all serve as indicators of the success of implementation
The last quote is a gold mine: it presents lots of variables that can be tested or measured to demonstrate success or failure, or whatever about how the system was implemented.
Definitely leaning towards this as the primary methodology, with Form Survey or Self Reporting as methods for gathering data on those variables (e.g. with acceptability).
If this is the methodology of choice, then the next question is…
What is my hypothesis?
a supposition or proposed explanation made on the basis of limited evidence as a starting point for further investigation