Some of the biggest challenges facing science according to 270 researchers, and how we can fix them potentially with decentralized science 🧑‍🔬 1. Academia has a huge money problem 🫰 Use funding models like @vita_dao to provide more stable, long-term funding for scientists, reducing perverse incentives caused by short-term grant cycles and publication pressures. (+ @Molecule_dao, @bio_xyz..) 2. Too many studies are poorly designed ⁉️ Build decentralized reputation systems to reward rigorous methodology over splashy results, reducing publication bias. Smart contracts could validate proper study design. (@DeSciLabs @opscientia) 3. Replicating results is crucial — and rare 🔁 Enable decentralized data sharing and anonynimized peer review using blockchain technology to facilitate replication and collaboration, improving result validity. (@lab_dao @scholarorg) 4. Peer review is broken ✍️ Use tokenized incentive models to reward community participation in open peer review and post-publication evaluation to augment traditional peer review. (@ResearchHub @T_L_D_R longevity.review/) 5. Too much science is locked behind paywalls ❌ Leverage decentralized storage like @IPFS to make all studies open access, unlocking knowledge from paywalls. Crypto enables frictionless micropayments if costs need covering. 6. Science is poorly communicated and paywalled 🤐 Cultivate science communication networks on web3 social platforms to better translate discoveries to the public. Curated DAOs could filter hype and bring context. (longevist.xyz/ @ResearchHub) 7. Life as a young academic is incredibly stressful 😱 Fund fellowships and open science prizes transparently through crypto treasuries and DAOs to support young scientists and incentivize integrity over metrics. (vitadao.com/fellowship @longevityprize ..) Many more projects tackling this then fit in here: docs.google.com/document/d/1… + vincentweisser.com/decentral…