Preserving Nature's Ledger: Blockchains in Biodiversity Conservation

• URL: http://arxiv.org/abs/2404.12086v1
• Date: Thu, 18 Apr 2024 11:13:35 GMT
• Title: Preserving Nature's Ledger: Blockchains in Biodiversity Conservation
• Authors: Kostas Kryptos Chalkias, Angelos Kostis, Ali Alnuaimi, Peter Knez, John Naulty, Allen Salmasi, Ryan Servatius, Rodrigo Veloso,
• Abstract summary: This paper explores the integration of blockchain technology in biodiversity conservation. It offers a novel perspective on how digital resilience can be built within ecological contexts.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In the contemporary era, biodiversity conservation emerges as a paramount challenge, necessitating innovative approaches to monitoring, preserving, and enhancing the natural world. This paper explores the integration of blockchain technology in biodiversity conservation, offering a novel perspective on how digital resilience can be built within ecological contexts. Blockchain, with its decentralized and immutable ledger and tokenization affordances, presents a groundbreaking solution for the accurate monitoring and tracking of environmental assets, thereby addressing the critical need for transparency and trust in conservation efforts. Unlike previous more theoretical approaches, by addressing the research question of how blockchain supports digital resilience in biodiversity conservation, this study presents a grounded framework that justifies which blockchain features are essential to decipher specific data contribution and data leveraging processes in an effort to protect our planet's biodiversity, while boosting potential economic benefits for all actors involved, from local farmers, to hardware vendors and artificial intelligence experts, to investors and regular users, volunteers and donors.

Related papers

• SPOQchain: Platform for Secure, Scalable, and Privacy-Preserving Supply Chain Tracing and Counterfeit Protection [46.68279506084277]
  This work proposes SPOQchain, a novel blockchain-based platform that provides comprehensive traceability and originality verification. It provides an analysis of privacy and security aspects, demonstrating the need and qualification of SPOQchain for the future of supply chain tracing.
  arXiv  Detail & Related papers  (2024-08-30T07:15:43Z)
• 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)
• Enhancing Data Integrity and Traceability in Industry Cyber Physical Systems (ICPS) through Blockchain Technology: A Comprehensive Approach [0.0]
  This study explores the potential of blockchain in enhancing data integrity and traceability within Industry Cyber-Physical Systems (ICPS) ICPS is pivotal in managing critical infrastructure like manufacturing, power grids, and transportation networks. This research unearths various blockchain applications in ICPS, including supply chain management, quality control, contract management, and data sharing.
  arXiv  Detail & Related papers  (2024-05-08T06:22:37Z)
• 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)
• A New Paradigm in Blockchain-based Financial Aid Distribution [0.7366405857677227]
  Technology has emerged as a game-changer in a variety of industries, providing robust solutions that can conventional procedures. The financial sector is making substantial progress toward implementing blockchain solutions for a variety of operations. The healthcare industry is simultaneously incorporating this technology into systems for managing medical records, tracing supply chains, and data management. Diverse industries, including real estate, energy, and government, are actively investigating the potential of blockchain to improve efficiency, security, and transparency.
  arXiv  Detail & Related papers  (2023-11-14T19:41:24Z)
• Blockchain-based Decentralized Co-governance: Innovations and Solutions for Sustainable Crowdfunding [7.625045691540373]
  Decentralized Co-governance Crowdfunding Ecosystem is a novel solution addressing challenges in conventional crowdfunding. Among the problems it seeks to mitigate are high transaction costs, lack of transparency, fraud, and inefficient resource allocation. Our research unfolds the evolution of the DCC ecosystem through distinct phases, offering a novel understanding of socioeconomic dynamics in a decentralized digital world.
  arXiv  Detail & Related papers  (2023-06-01T16:26:35Z)
• Conservation Tools: The Next Generation of Engineering--Biology Collaborations [0.0]
  We will use case studies to demonstrate the importance of designing conservation tools with human-wildlife interaction in mind. Conservation technology has the potential to benefit biodiversity but also has broader impacts on fields such as sustainability and environmental protection.
  arXiv  Detail & Related papers  (2023-01-03T13:58:31Z)
• Seeing biodiversity: perspectives in machine learning for wildlife conservation [49.15793025634011]
  We argue that machine learning can meet this analytic challenge to enhance our understanding, monitoring capacity, and conservation of wildlife species. In essence, by combining new machine learning approaches with ecological domain knowledge, animal ecologists can capitalize on the abundance of data generated by modern sensor technologies.
  arXiv  Detail & Related papers  (2021-10-25T13:40:36Z)
• Efficiency in Digital Economies -- A Primer on Tokenomics [55.41644538483948]
  cryptographic tokens are a new digital paradigm that can facilitate the establishment of economic incentives in digital ecoystems. We show how certain principles and values that arise from the evolutionary process of digital cooperation can lead to a market economy characterized by economic efficiency of both individuals and the tokenized ecosystem as a whole.
  arXiv  Detail & Related papers  (2020-08-06T09:31:56Z)
• Leveraging traditional ecological knowledge in ecosystem restoration projects utilizing machine learning [77.34726150561087]
  Community engagement throughout the stages of ecosystem restoration projects could contribute to improved community well-being. We suggest that adaptive and scalable practices could incentivize interdisciplinary collaboration during all stages of ecosystemic ML restoration projects.
  arXiv  Detail & Related papers  (2020-06-22T16:17:48Z)

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.