This is incredibly interesting, as people now have more and more opportunities to directly influence their community. Another interesting application of open innovation would be seeing what community projects resonate with members and then implementing those. That way people can also personally influence what they want to see happen. However, what happens to projects that don’t get as much investment? Are those not done? What if they are very necessary for the community?
This is incredibly interesting to think about- I feel like so many people come to HBS to work on projects like these: crossing social enterprise with business and technology. I wonder if there are ways to simulate testing in these cases that do not directly involve vulnerable populations- but if this testing a necessary evil that can be countered with so much good, I feel like risks can be far more good than bad. Or maybe the testing should be done in cases where there is another alternative already in play to be more safe. I think even though companies that partner with UNICEF may not share the same moral imperative that UNICEF does, companies now are aiming more than ever to differentiate themselves with social initiatives. Therefore, it is a good time for UNICEF to partner with companies. Excited to see the results of these partnerships!
Love the personal experience element of this piece. I feel like even a lot of private sector maintenance system is based on a timed framework- at least it was in the company I worked at. I think this is partially attributed to cost (must be very expensive to install these systems you talk about), but another part is labor. I think this case is unique because you are doing navy work as well as maintenance, compared to in other places, there is special labor purely for maintenance. Workers potentially don’t want to change, especially if they have done this routine for a while. It is also much harder to train new people for conditions based maintenance compared to routine. Would love to hear more from you about security concerns with this as I’m not too familiar in this area.
This is so interesting to me- I can’t believe that a 3D printer was able to build 10 homes under 24 hours! I think this works particularly well in China because architectural beauty of homes isn’t as valued, since most live in apartment buildings, standardization is not as big a problem. I worry about this method of making homes in the future though- people in China now are becoming wealthy rapidly and expanding into suburbs. Citizens are going to care about the aesthetics and careful design of their houses more than ever. Is 3D printing of homes able to convey articulate home design? Instead of personal homes, I think this process would work very well for apartment buildings in the cities, when scale and speed is necessary to be competitive. I would actually argue that public would think 3D processes are even safer because of reduction of human error.
Very interesting article that brings into questions ethics, regulatory policies and new technologies that have potential to save lives. Hopefully pricing and therefore inequality gaps won’t be much of a problem here if government and insurance is able to subsidize this research. It does so much benefit for not just humans but animals as well to shift towards this type of testing. Waiting for the day that this is the new norm.
Interesting application of machine learning! I think in this case, our personal opinion on who we think we would be compatible with are much more biased than AI’s applications. Many times, what qualities are qualifications we think we will like are very different than who we actually get along with. For example, I can be picky and filter strongly on height or age in an application, but many times I don’t realize those are things I’m more than willing to put aside if I find the right person. However, apps don’t give you the chance to meet those potential people who don’t meet all your qualifications because they are filtered out from the start. By using AI, I think there would be less bias because you are given recommendations based on things like purchase history and searches. Those things will show you what your interests and hobbies are. I think AI will actually remove our preconceived biases and give us better matches.