Message me if any of these resonate with you!
Metascience + science publishing
- Idea: what if there was a Medium/Substack model of a journal in which scientists get paid based on how many people view/engage etc. Or, they themselves can monetize their research, build followings, etc. I think changing the incentives in science and allowing researchers to build wealth would bring many people to this hypothetical journal. Especially if it could have better distribution, comparable curation/trustworthiness to traditional journals, etc.
- On top of that, we can make a social network of scientists behind a paywall that ensures only genuine scientists are on it. It can be like Google Scholar but with a social network attached to it. Then, different people/labs can collaborate with each other better—even across the world—instead of through email or anything else. We can have cool things like impact factor, erdos numbers, a repository of failures in science, and other cool things showcased as well. Everything design/branding/UI related will be all about science heroes and inspiration.
- This idea gets me pretty excited, and I think it would have to be run by an outsider who doesn't have to worry about traditional publishers coming at them. I can already think of tons of revenue streams while ensuring that scientists get paid and there's open access for everyone.
- an artificial intelligence platform to study non-model organisms at scale and identify specific genes or things within animals that give them "superpowers."
- Or, just anything around this thesis I have of using non-model organisms for human medicines and treatments.
- There are jellyfish that are immortal, elephants that don't get cancer, and so many more evolutionary advantages that some species have that can/should be used for humans. After all, evolution is the best A/B test of all time.
Tracking and Predicting Nature
- What: make the ultimate image-based platform for tracking and predicting the weather, natural disasters, atmospheres, geology, oceans, wind, solar, and everything related to meteorology and Earth systems.
- Why (business): customers would include people and organizations that need to track the weather and other relevant Earth systems. This includes food systems, local & national government bodies, climate scientists, hedge funds, construction, and much more.
- Why (impact): this will make humankind prepared for any on-Earth existential crisis, yet also vastly benefit everyone’s day-to-day lives as we can predict what will happen to relevant Earth systems across a given period. Ultimately, the inspiration for this is that we should be working towards becoming a Type 1 civilization (one that can harness the energy of its planetary system)—and we can only improve what we can measure.
- Existing/similar companies: https://cervest.earth/
- What: make a simulator that models out architectural designs and structures for densely populated and environmentally sustainable habitats. AI for generative design at a small scale exists, but it does not for housing, skyscrapers, and other buildings. On top of that, we can consider the constraints also to include ecologically conscious designs and net zero emission requirements.
- A long-term play can use the computer vision to control autonomous robots that build the buildings themselves. Imagine robots that construct structures optimal to the environments on Earth, the Moon, and even Mars.
- Why (business): ESG assets may hit $53 trillion by 2025, the residential and commercial construction market hit nearly $1.1 billion in 2020, and there is an incredible need for climate change mitigation and housing
- Why (impact): our country faces a housing crisis and a climate crisis—two markets that combined have trillions of dollars in circulation. Better designed buildings and communities can mitigate those problems with a tool that can scan a given area and its constraints to design a structure that optimizes for structural integrity, low ecological impact, and livability.