Mosaic to combat cryptocurrency misinformation

Mosaic, a blockchain-powered research network designed to provide rigorous research and analysis to an industry struggling with misinformation and lack of quality analysis, emerged from stealth today.

Led by a distinguished team of academics, blockchain researchers, data scientists, and software developers from top universities around the world, Mosaic will form the industry’s first decentralized market intelligence platform, leveraging its market intelligence protocol to provide objective research. The technology not only incentivizes researchers for high-quality, unbiased content but rejects contributors posting content for personal gain.

The platform will reward community and vetted researchers with native tokens – the amount depending on the quality of work and community sentiment – and punish participants for inaccurate, unfounded or subjective information, a growing problem in the burgeoning cryptocurrency market. Mosaic will feature elements of a social network, data feed, portfolio tracker, and serve as an invaluable resource for traders, investors, institutions, hedge funds and enterprises seeking blockchain market entrance.

“I’ve been involved in the blockchain research community since its genesis, and the dearth of quality research available at a time of such explosive industry growth is alarming,” Mosaic CEO and Cambridge University researcher Dr. Garrick Hileman said. “With the team we’ve assembled, we believe the Mosaic platform can be the decentralized, trusted solution to this lack of rigorous and trustworthy research- leveraging the incentives mechanisms enabled by blockchain technology to grow a strong, global research community.”

Solid cryptocurrency research material is extremely rare, despite growing demand from enterprise, blue-chips, and institutional investors. Mosaic’s goal is to bring more transparency and quality control to cryptocurrency research and analysis, leveraging a thorough analyst vetting process and its unique market intelligence protocol to achieve these goals.

For researchers or analysts to contribute to the Mosaic platform, they will have to stake Mosaic (MZX) tokens and disclose their personal and professional affiliations with crypto-asset holdings so that research is not fueled by the prospect of personal gain. In exchange for this stake, contributors will be eligible for MZX token rewards based on the quality and accuracy of their analyses, while the MZX stake can be taken away or discontinued for poor quality or biased analyses. The Mosaic project is entirely decentralized, meaning company executives and founding members can not censor content; only the community.

For users to access and view research content on the platform they will need to hold MZX tokens- which are used to pay for platform subscription fees. However, token holders receive additional benefits in proportion to tokens held, including voting for the assets they want to be covered, allocating votes to favoured contributors, and rating content. The Mosaic research team, currently comprised of more than 30 researchers, will also be contributing research and analysis to the platform, though they hope to foster a community of tens of thousands of analysts in the long-term serving millions of users.

“Ultimately, we want Mosaic to serve as both a social network and data software platform for the cryptocurrency research community,” Dr. Hileman said. “Utilizing our unique market intelligence protocol and years of experience in this space, we’re confident Mosaic will become the public’s trusted portal to the crypto world in the years to come.”

In addition to Dr. Hileman, the founding team includes:

  • Co-Founder Alex Bradford, a graduate of Harvard Business School and former analyst for both Goldman Sachs and McKinsey & Co.
  • CFO Dr. David Horning, CFA, formerly an investor at Palo Alto Investors
  • Chief Data Scientist Alpkaan Celik, an Applied Mathematics graduate from Harvard College and former Program Manager at Microsoft
  • Prabhakar Reddy, project advisor.

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