In response to an overwhelming demand for NFT minting and listing by thousands of members and associated experts, RMDS, a data and AI ecosystem platform, announced that it will begin offering NFT services. By the end of March 2022, RMDS will launch the world’s first NFT marketplace exclusively for science and technology IPs.
NFT marketplace for science and technology IPs from RMDS
NFTs (Non-fungible Tokens) are widely used for authentication and exchange of IPs in art, games and other collectibles. In 2021, NFTs grew rapidly, in part due to their ability to capitalize on digital content and digital assets. After the NFT for “Everydays: The First 5000 Days” sold for $69.35 million in March, the global NFT trade grew rapidly. According to Binance, NFT trading increased by a whopping 42,988% between 2020 and 2021.
According to data collected by Per Dune Analytics from public blockchains, OpenSea, the largest NFT marketplace, recorded $243 million in trades on the Ethereum blockchain on January 2, 2022 (far higher than the $170 million trade volume on January 1, 2022) and $124 million on December 31, 2021. OpenSea completed a roughly $3.25 billion transaction on the Ethereum blockchain, another record alongside the $3.4 billion dollars in August.
Most current NFTs traded on OpenSea and other major marketplaces are art IPs. However, NFTs for science and technology IPs began to converge, including some for Nobel Prize winning research and augmented reality imagery of space, even for unpublished scientific research papers. Unfortunately, they all emerged separately and have often been overshadowed by art NFTs, so they have not yet influenced scientific and technological developments.
RMDS was developed by a well-known data science community and launched in 2009 by IBM’s Chief Data Scientist, Dr. Alex Liu, founded to promote scientific innovation through data and AI. Since 2019, RMDS has been providing conferences, training courses, online data project portal, global data science competitions and other services to develop scientific IP exchanges for more impactful data research. In particular, RMDS’ many offerings, including an open ecosystem platform, RM4Es-based workflow management, and RMDS exchange service, demonstrate the company’s accumulation of vast resources, communities, and experience for the development and governance of the scientific IP market, including the NFT.
As the world’s first NFT marketplace for science and technology IP, RMDS will focus solely on matching scientists with investors and connecting science and technology IPs with related collectors, investors and science lovers. Here, RMDS will greatly promote the applications of science and technology IPs to accelerate global science and technology innovation. “RMDS Science and Technology NFT Marketplace will be the world’s first marketplace to provide new fundraising channels for science and technology projects, accelerate technology transfer, and benefit scientists and the public worldwide. It will also help take the NFT business to a whole new level,” said David Zhang, co-founder of RMDS and founder of Shunya International, a public company.
At the same time, RMDS plans to launch its quarterly data science competition for NFTs on January 31, 2022. Participants will be asked to collect datasets to create a dashboard that assesses trends in the development of NFTs and forecasts their future development. The RMDS Data Science Competition is a well-known event for data science communities worldwide. RMDS has partnered with many well-known organizations such as the City of Los Angeles and NASA JPL. “RMDS, as a leading data and AI community and company, has been looking for ways to create broad applications of science and technology. NFT Marketplace offers the best solution here. I believe RMDS Sci & Tech IP NFT Marketplace will be loved by scientists worldwide. It will become one of the best places to realize the value of science and technology projects and accelerate scientific and technological innovation worldwide,” said Dr. Alex Liu, founder of RMDS and advisor to the Harvard Data Science Review.
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