Blockchain in the management of science: conceptual models, promises and challenges

• URL: http://arxiv.org/abs/2006.05483v1
• Date: Tue, 9 Jun 2020 19:49:32 GMT
• Title: Blockchain in the management of science: conceptual models, promises and challenges
• Authors: Artyom Kosmarski
• Abstract summary: Proponents of blockchain for science present this technology as a tool to make science free from bias, red tape, data fraud, as well as provide innovative means to secure financial backing for new ideas. One issue concerns introducing crypto economy, with its financial incentives, into science, a field that emphasizes disinterested and non-pecuniary pursuit of truth.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Blockchain has received much attention recently, due to its promises of verifiable, permanent, decentralized, and efficient data handling. In 2017-2019 blockchain and associated technologies such as smart contracts has progressed beyond cryptocurrencies, and has been adopted in banking, retail, healthcare, and other fields. This study critically examines recent applications of blockchain in science, touching upon different stages of research cycle, from data management to publishing, peer review, research evaluation and funding. The paper is based upon a review of blockchain projects, relevant literature, a set of interviews and focus groups with startup founders, scholars, librarians, IT experts from the EU, USA, Russia, and Belarus. Proponents of blockchain for science present this technology as a tool to make science free from bias, red tape, data fraud, as well as provide innovative means to secure financial backing for new ideas. However, these projects face a set of challenges. One issue concerns introducing crypto economy, with its financial incentives, into science, a field that emphasizes disinterested and non-pecuniary pursuit of truth. Another source of concern relates to the ongoing conflict between the principle of decentralization inherent to blockchain and the practice of forcing it from above, by the state and other centralized entities.

Related papers

• Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models -- Blockchain and Applications [17.293955748551053]
  The article begins with an introduction to cryptography fundamentals. It covers topics such as proof-of-work, proof-of-stake, and smart contracts. The article concludes by addressing the current state of academic research on blockchain.
  arXiv  Detail & Related papers  (2024-10-14T02:56:36Z)
• SOK: Blockchain for Provenance [0.0]
  Provenance, which traces data from its creation to manipulation, is crucial for ensuring data integrity, reliability, and trustworthiness. Provenance technology has become a popular choice for implementing provenance due to its distributed, transparent, and immutable nature. Numerous studies on blockchain designs are specifically dedicated to provenance, and specialize in this area.
  arXiv  Detail & Related papers  (2024-07-25T01:46:49Z)
• IT Strategic alignment in the decentralized finance (DeFi): CBDC and digital currencies [49.1574468325115]
  Decentralized finance (DeFi) is a disruptive-based financial infrastructure. This paper seeks to answer two main questions 1) What are the common IT elements in the DeFi? And 2) How the elements to the IT strategic alignment in DeFi?
  arXiv  Detail & Related papers  (2024-05-17T10:19:20Z)
• A trustless society? A political look at the blockchain vision [0.0]
  Research efforts investigating the blockchain should be halted. The power of central actors does not dissolve, it only shifts to new, democratically illegitimate, uncontrolled or even uncontrollable power centers.
  arXiv  Detail & Related papers  (2024-05-09T20:54:08Z)
• Blockchains for Internet of Things: Fundamentals, Applications, and Challenges [38.29453164670072]
  Not every blockchain system is suitable for specific IoT applications. Public blockchains are not suitable for storing sensitive data. We explore the blockchain's application in three pivotal IoT areas: edge AI, communications, and healthcare.
  arXiv  Detail & Related papers  (2024-05-08T04:25:57Z)
• Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning [51.13534069758711]
  Decentralized approaches like blockchain offer a compelling solution by implementing a consensus mechanism among multiple entities. Federated Learning (FL) enables participants to collaboratively train models while safeguarding data privacy. This paper investigates the synergy between blockchain's security features and FL's privacy-preserving model training capabilities.
  arXiv  Detail & Related papers  (2024-03-28T07:08:26Z)
• Generative AI-enabled Blockchain Networks: Fundamentals, Applications, and Case Study [73.87110604150315]
  Generative Artificial Intelligence (GAI) has emerged as a promising solution to address challenges of blockchain technology. In this paper, we first introduce GAI techniques, outline their applications, and discuss existing solutions for integrating GAI into blockchains.
  arXiv  Detail & Related papers  (2024-01-28T10:46:17Z)
• Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges [32.33334974604895]
  Various data-sharing platforms have emerged with the growing public demand for open data and legislation mandating certain data to remain open. Most of these platforms remain opaque, leading to many questions about data accuracy, provenance and lineage, privacy implications, consent management, and the lack of fair incentives for data providers. With their transparency, immutability, non-repudiation, and decentralization properties, blockchains could not be more apt to answer these questions and enhance trust in a data-sharing platform.
  arXiv  Detail & Related papers  (2023-03-12T02:56:52Z)
• The Design Principle of Blockchain: An Initiative for the SoK of SoKs [0.0]
  Decentralized AI can empower to be more trustworthy by creating a decentralized trust of privacy, security, and audibility. However, systematic studies on the design principle of AI as a trust engine for an integrated society of Cyber-Physical-System are still absent.
  arXiv  Detail & Related papers  (2023-01-01T21:57:25Z)
• Recordism: A social-scientific prospect of blockchain from social, legal, financial, and technological perspectives [11.332156663263564]
  This study focuses on four key perspectives: methodological, legal, financial, and technical. It finds that blockchain is not only an innovative cognition method, but also a community representative. Despite some challenges in integrating blockchain with existing social structures, this paper concludes that blockchain has the potential to play a significant role in shaping the future.
  arXiv  Detail & Related papers  (2022-04-02T09:16:34Z)
• Quantum-resistance in blockchain networks [46.63333997460008]
  This paper describes the work carried out by the Inter-American Development Bank, the IDB Lab, LACChain, Quantum Computing (CQC), and Tecnologico de Monterrey to identify and eliminate quantum threats in blockchain networks. The advent of quantum computing threatens internet protocols and blockchain networks because they utilize non-quantum resistant cryptographic algorithms.
  arXiv  Detail & Related papers  (2021-06-11T23:39:25Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.