Cryptocurrencies, smart contracts and other blockchain technologies are experiencing a rapid surge in popularity. With a major share of the blockchain infrastructure today dependent on consensus protocols based on proof-of-work (PoW), an efficient and intelligent crypto-mining operation is well positioned to take advantage of the ongoing expansion. NordCoin Mining OÜ is based in the IT-friendly Estonia with operations foreseen across the Nordics. The Mobile Mining Container (MMC) technology developed by NordCoin is a self-sufficientself-contained, remote controlled crypto-mining solution designed to overcome the three most significant variables affecting the profitability of crypto-mining: effective hash rate, cost of energy, and cost of space. In total, 30 MMC's will be activated, with an estimated net profit of $45,000 worth of crypto per month per container.

Expected to kick off in 2018, the Fan-Controlled Football League (FCFL) reimagines American football – and the experience of being a die-hard fan – for the digital age. The FCFL will seek to deliver a compelling football product that captivates a broader digital audience. It will feature fast-paced, high-scoring action that embraces the spread-football evolution of the NCAA football and NFL games while enabling a diverse set of styles and strategies on both offense and defense ─ all controlled by the fans. Player personnel and real-time play calling decisions are all made by fans via the league’s blockchain platform, making fans the coach and general manager for their team. Fans will no longer be just viewers; rather, they will be active contributors to the games they are watching. This is a transformational shift in the way sports fans engage and interact: no more sitting back and passively watching as a team’s roster takes shape or a game unfolds. They will be essential to the league’s product both on the field and off. This is the democratization of sports, and it’s about to be realized through the most innovative sports league ever created, thanks to decentralized blockchain technology.

The SISHUB project is developing an anonymous messenger and a decentralized system for sharing data through the utilization blockchain technologies. Does Not Log IP Address. Only complex identifiers and tunnels for data transfer will be used, which will change every 10 minutes. Absence of information collection, control over users and collection of geodata. SISHUB uses triple encryption of its own design, based on AES CBC, DSA, HMAC, when most use Curve25519, RSA 2048. All data is hashed using the SHA-2 protocol (64-bit architecture).

Lohn is a widely spread contractual form in various industrial fields of international cooperation relations, especially in the industry of clothing, footwear, leather, furniture, software and hardware, pharmaceutical, metal working, metallurgical, machine tools, automotive, automation, machine building industry, electronics and appliance industry, food and beverage industry, petrochemical industry. The lohn (processing economy) has been and will be a solution to produce goods at reasonable and high-quality prices through the efficient use of labor and cheap raw materials in emerging economies. It is also a business model that creates economic and social progress across the world bringing together markets with productive resources and capabilities. The trading platform developed by the lohncontrol project will create global opportunities for small and medium-sized businesses that are responsible for generating 60% of GDP. It will give them a visibility that they do not have at this time and will encourage the development of direct business between them. This means low manufacturing costs and greater adaptation to market demands. Those who will win at the end of this interaction will be consumers who will get good products at realistic prices.

GoRecruit is an AI recruitment system based on blockchain technology, which offers a new way of evaluating job applicants. The AI system, being a convenient online service, enables making HR decisions based on the analysis of data from social networks and publicly available sources. To select applicants for an interview, one does not need to spend several hours for processing and analyzing the data: one will acquire the detailed information with recommendations immediately after the authorization of a candidate in the GoRecruit system. This approach will make access to vacancies more open, eliminate human error in hiring, as well as reduce the cost of HR service by optimizing routine work.