I had a grad school mentor William Wells who taught us something similar. A good research publication or presentation should aim for "just the right amount of surprise".
Too much surprise and the scientific audience will dismiss you out of hand. How could you be right while all the prior research is dead wrong?
Conversely, too little surprise and the reader / listener will yawn and say but of course we all know this. You are just repeating standard knowledge in the field.
Despite the impact on audience reception we tend to believe that most fields would benefit from robust replication studies and the researchers shouldn't be penalized for confirming the well known.
And, sometimes there really is paradigm breaking research and common knowledge is eventually demonstrated to be very wrong. But often the initial researchers face years or decades of rejection.
A friend and I built a proof-of-concept of using a variation of Latent Semantic Analysis to automatically build up conceptual maps and loadings of individual words against the latent conceptual vectors back in 2000. In exploring what it would take to scale I concluded, like you, that we should use professionally written and edited content like books, news articles and scientific journals as the corpus against which to build up the core knowledge graph.
Twenty-four years later I still regret not being able to raise money to enable us to keep working on that nascent startup. In most ways it was still too early. Google was still burning through VC money at that point and the midwestern investors we had some access to didn't get it. And, honestly they were probably correct. Compute power was still too expensive and quality data sources like published text were mostly locked up and generally not available to harvest.
I recall in the late 70s that my high school also had a teletype terminal and an IBM card reader that connected to a mainframe for the whole school district. As a student I had some awareness that it was unusual. I was also working PT at a Radio Shack at the same time and saw the first arrival of a TRS-80 to our store.
Despite that early exposure to computing technology I went other directions for the next couple decades.
Different recession. Spring of 2008 I was in a corporate job within a fairly new business unit. Over the space of 3 years we had grown the new business unit from nothing to a unit with about 25 employees and turning a profit. For the first few months our business unit wasn't touched. We saw other more mature business units in the corporation going through selective layoffs to tighten up expenses. But when the recession started impacting our revenue growth, from a 50 to 60% annual growth down to 5% growth the layoffs came to our unit.
What I provided to the business was one of the ancillary services rather than the core service offering. So regardless of the good performance reviews when the word came down that our unit needed to cut costs the only place to cut was labor and I and a couple other people got laid off in the first round. In many ways I couldn't fault the decision.
Oddly enough they laid off the sales person who was most responsible for their growth. He had the misfortune of having been given the challenge of opening up a new market just as the first of the recession was being felt in 2007. Honestly I was more surprised at his layoff than my own. But I guess whoever was higher up in the corporation directing our layoffs was more focused on what have you done for us in the past 3 to 6 months than what have you done for us in the past 3 to 4 years.
This reminded me of a conversation I had with a business owner in southern Florida. I was showing him a demo of some mapping technology I had played around with and mentioned that I was also involved in some web crawling and NLP stuff. He mentioned the following opportunity.
If you could crawl and scrape public records to determine when the Air/Conditioning units had last been replaced at each property and then map it. He was convinced that HVAC companies have a good sense of the age of units that are needing replacement. One would generate lead maps specific to properties so that a sales person could focus only on the properties that had units approaching replacement age. This was around 2010. I poked around in the public records a bit and decided I wasn't the right person - even if technically possible.
I am not sure of the market validity of this idea but you might be better suited to this kind of thing than I was.
Funny your example is hvac, i recently made an “instant quote form” for a friend who works in hvac (interiorclimatesolutions.com)
I agree though, i feel like lead gen is how this has to pay for itself. I’ve been resisting that path but it feels like i need to reconsider the model as there are likely ways to do it. I just don’t get as excited by it, but perhaps that’ll change.
Weightlifting as a consistent form of exercise. I love to run but I have had issues with my feet. With weightlifting I have been able to work around any injuries and keep consistent. I started in my mid 40s after a foot injury that ended a good couple years of running and bodyweight resistance. When I couldn't run I started lifting much more consistently and actively building strength.
Lower back pain, that I thought just went with middle age went away as I got stronger. Although I had one weightlifting injury that caused me to cut way back for 6 months I eventually recovered and went on to be stronger than before. I am now 61 and I really notice the difference as I look around at other men my age. Seventeen years of consistent resistance exercise makes a big difference.
I lift Monday through Friday at about 11 AM each day. One week I will do pressing exercises such as bench press, squat and leg press on MWF and pulling exercises such as deadlift, hamstring curls, lat pull downs on TTH. Then the next week I reverse the days. That way every major muscle group gets 5 workouts over a 2 week period.
I do a few minutes on an exercise bike to warm up before lifting and usually finish off with another few minutes on bike or high intensity sprint on a rowing machine.
I don't eat anything in the day until after that workout. If I am trying to lean out I will extend the no eating until supper and just eat one meal.
My son is at the other end of the spectrum having just graduated with a BS in Computer Engineering and started his career as Software Engineer I. He is working as a software engineer at a company that designs and manufacturer's sensors used in factory and warehouse automation. Creating the software to do interesting things with sensors is a growth area for them, but it is still primarily a hardware company.
If that kind of thing sounds interesting let me know.
Start-up 1 (2000): Too early and inadequate access to technically sophisticated investors (located in the Midwest rather than Silicon Valley). Proof of concept in semantic knowledge graph but would have required computational resources to do it at scale that very few were building at the time. And, cloud wasn't a reality at that point. VCs started funding "semantic" about 7 or 8 years later.
Start-up 2 (2010) I was employee 7, not founder. It got through series A funding. We built it. We won award for innovation from Sloan School of Business and although CIOs of big companies professed to love the platform when they passed it off to their procurement and vendor management people adoption faltered. And, without a significant flow of RFPs being posted there was no revenue as we were going to get paid with commissions from the vendor side of the 2 sided market.
Start-up 3 (2012) - Solo founder builder. Lack of market fit. No funding, needed to earn a living so it went on the back shelf. Some technology still used for consulting clients but not as a product.
It all depends.... if we were having a private conversation I would be asking about all of the following. But I wouldn't really recommend getting too specific about some of these on a public forum.
> How old?
> Current health status? Chronic illnesses? Cognitive health?
> Current level of independence or dependence for daily living?
> Recognition of need for assistance?
> Level of wealth, property, investments and liquid cash?
> Level of income - degree still dependent on parents working FT, PT or now on pension, social security or other retirement monthly income?
> Level of debts needing to be paid off or serviced?
> Presence of non-family social support?
> Living proximity to you?
> How much time monthly can you devout to helping?
> What is your own financial strength and ability / willingness to help financially?
> What level of trust do your parents have in you?
> How comfortable are your parents with technology?
> Do your parents have access to high speed internet?
> Availability of assisted living and/or nursing home facilities
> And more
I personally have walked a pretty long road of being the lead caregiver, guardian during 20 years of declining health and increased dependence from my own parents with each eventually dying in their mid-80s.
It feels like the only generic advice is something like the following.
> Spend regular time with them and pay attention to changes
> Keep their dignity in mind - no one likes the process of becoming more dependent on others
> Be willing to calmly but firmly advocate for them with doctors and institutional caregivers
> Technology may not help nearly as much as you imagine
> Effective assistance will be more expensive in time and money than you currently envision
I'm beginning to address these questions as I'm noticing my parents becoming old. Both of them are able to take care of themselves at present and I'm asking around to understand if there are things I can be prepared for.
> Effective assistance will be more expensive in time and money than you currently envision.
I am not sure if Jason Roberts was the first to use this phrase but here was his take on Luck Surface Area back in 2010. That was the first I personally heard of the term Luck Surface Area. I don't know that Jason's take is any more insightful than the linked article, but I feel like he deserved a call out as well on this topic.
Too much surprise and the scientific audience will dismiss you out of hand. How could you be right while all the prior research is dead wrong?
Conversely, too little surprise and the reader / listener will yawn and say but of course we all know this. You are just repeating standard knowledge in the field.
Despite the impact on audience reception we tend to believe that most fields would benefit from robust replication studies and the researchers shouldn't be penalized for confirming the well known.
And, sometimes there really is paradigm breaking research and common knowledge is eventually demonstrated to be very wrong. But often the initial researchers face years or decades of rejection.