Brown Dog seeks to develop a service that will make past and present uncurated data accessible and useful to scientists and social scientists while also demonstrating the novel science and scholarship that can be conducted from such data.
There is already a “gold rush” into the drone marketplace with so many entrepreneurs, companies, and investors pursuing the low-hanging fruit when it comes to applying drones to the obvious tasks of surveillance, filming, photographing, delivery, etc. Every application/industry combination one searches on reveals that generally others are already in pursuit.
However, one way to think about this is to go where the “fruit is not hanging low,” which is to say extremely high barriers to entry, and to bodly (foolishly?) go there while others are racing towards the obvious, straightforward applications.
This might be defined by:
- extremely high technology complexity and risk
- extremely high capital requirements ($400M+) for hardware, manufacturing, and software (algorithmic) development
- very small drones down to insect size, vs. going up in size from hobby to military-grade UAVs
- low-elevation deployment down to ground level
- battery and/or fuel cell powered with very long range
- hummingbird-equivalent maneuverability and speed
- stealth capabilities with difficult-to-detect low-noise signature
- massive manufacturing/distribution scalability
If it is now impossible or seems impossible in our lifetimes, then no one will pursue that domain, and, maybe reason enough to not pursuit it.