🎉 Share Your 2025 Year-End Summary & Win $10,000 Sharing Rewards!
Reflect on your year with Gate and share your report on Square for a chance to win $10,000!
👇 How to Join:
1️⃣ Click to check your Year-End Summary: https://www.gate.com/competition/your-year-in-review-2025
2️⃣ After viewing, share it on social media or Gate Square using the "Share" button
3️⃣ Invite friends to like, comment, and share. More interactions, higher chances of winning!
🎁 Generous Prizes:
1️⃣ Daily Lucky Winner: 1 winner per day gets $30 GT, a branded hoodie, and a Gate × Red Bull tumbler
2️⃣ Lucky Share Draw: 10
Imagine the traditional scientific research system as an ancient monastery with high walls. Dispersed laboratories around the world are like secret chambers that see no sunlight, with countless valuable experimental data sealed away in filing cabinets, eventually becoming part of history.
By 2025, decentralized science (DeSci) is set to experience a full-scale explosion. But there's a practical problem: having decentralized research funding alone isn't enough. What's the key? Data flow.
If scientific data can't flow freely on the blockchain like blood, and if the authenticity of results can't be verified, scientific research remains a game for a select few elites. APRO addresses this issue—it acts like a bridge connecting traditional physical laboratories with the digital world.
Why is APRO considered the key to DeSci? Comparing it to DeFi makes it clear. In DeFi, oracles provide asset price data to smart contracts. So, what about DeSci? Scientists need a mechanism that can prove "this experiment really happened, and the results are authentic."
APRO is not just a data transporter; it's a consensus-based data verification layer. Every set of raw experimental data and each molecular simulation can be verified for integrity in a decentralized manner and then recorded on-chain. The benefits are obvious: transparency, traceability, and immutability.
From a technical architecture perspective, APRO solves the most difficult part of putting scientific data on the chain—the trust issue. Traditional science relies on peer review in academic journals, a process that often takes months or even years. With on-chain verification, this cycle can be significantly shortened.