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Coming from an academic perspective, my knee-jerk reaction to this post is "Awesome, we definitely need this", but after some thought I really don't see this as
by alialkhatib 12y ago
Coming from an academic perspective, my knee-jerk reaction to this post is "Awesome, we definitely need this", but after some thought I really don't see this as a necessary job (at least, not for most startups in most areas). I'll try to explain my more ruminative thinking:
Since the article actually specifies behavioral research, I think my background in anthropology and the social sciences might be helpful here. My research for the past ~year has been on the culture of Quantified Self, but I'm also coming from a background of Human-Computer Interaction and I'm going to study HCI at Stanford (sooner or) later this year.
What I generally call "behavioral" research is just too specific to be applicable without an academician him/herself to parse, abstract, and apply this stuff. Worse, you would be hard-pressed to find an anthropologist (or I suspect any other social scientist) who would be able, let alone willing, to make any predictions about the future, even in their own niche. My thesis's discussion section looks at the future of QS culture as it relates to mainstream culture, but I'm not willing to make any predictions at all. The most brazen thing I'm willing to do is highlight some of my observations and follow where those observations might lead. I immediately underscore that these are total unknowns, and that we should all just keenly watch QS culture for how these issues will play out.
That kind of non-committal culture (at least in the social sciences) is favored in academia because it's incredibly difficult to correctly guess or predict the future, especially when humans are the subject of research (and especially when they're aware of the prediction you're making, because they so often seem to want to prove you wrong). You want your research to stand the test of time, and making predictions that don't bear out undercuts your credibility.
So you won't read any journal articles in sociology or anthropology that definitively tell you what you should make your next startup about, and any interpretation between the lines you read will invariably be contentious. For all of my research, I wouldn't bet my lunch on any particular prediction.
Instead, it makes much more sense to have a UI/UX specialist whose job includes knowing the research and academic consensus on stuff. Maybe they should keep their ear to the ground to hear for any trends or new paradigms in user interface design, but whether this person can even shoehorn that stuff into real-world business endeavors is questionable.
All that being said, I think I agree with the idea that a startup should be cognizant of research in the area they're trying to break into. But that sounds (to me, anyway) like I'm advocating that in the process of doing a business plan and analyzing competitors someone should do a cursory search for existing literature on this topic to make sure there are no land mines in the field. If someone wanted to get into medical informatics but had no idea about HIPAA-compliance and the complications that injects, I would steer clear.
- toomim 12y ago> That kind of non-committal culture (at least in the social sciences) is favored in academia because it's incredibly difficult to correctly guess or predict the future It's not actually that it's difficult to predict the future -- it's just as difficult in industry, but they try all the time! It's that it's difficult to prove in a peer-reviewed article that your prediction is correct. Academics don't try to say anything that can't pass peer-review. This filter of peer-review is what limits academics from speculating. In industry, you are free of peer-review. Steve Jobs can predict that the world is moving to multi-touch phones, and it doesn't matter if his peers complain that there aren't any buttons or physical keys. He will be proven right in the marketplace.
- darkmighty 12y agoI caught a hint of doubt on the "non-commital culture" from GP and I guess I agree with that. If they are specific models of behavior, shouldn't the model come with validating observations? If the new model is very encompassing so that good enough observations are hard to come up with or their specificity would detract from the broad view, It might be excusable. Otherwise, I would think that the paper has to clearly show it's raison d'etre to it's stakeholders, most likely interested industry -- with observations. And why not, sometimes predictions are due, specially when they contradict the status quo. The predictions don't need the pretense to be certainly true, they just need to be consistent (or follow directly) from the model. I would expect predictions, just like a new physical theory or observation may accompany bold predictions following from it's premises.