Rapid advancements in Distributed Ledger Technology (DLT), including blockchain, are foundational to a new era of digital innovation. This innovation has catalyzed the emergence of “Decentralized Science (DeSci),” a new concept and movement that aims to address the challenges of modern science. Given the novelty of the field of DeSci, this study aims to provide a comprehensive definition of the term and explore and conceptualize the shared values and guiding principles inherent to DeSci. To achieve these objectives, an exploratory literature review was conducted to identify and synthesize the scholarly and secondary literature. The search and selection process included six databases (PubMed, Google Scholar, Web of Science, IEEE Xplore, arXiv, and Social Science Research Network), focusing on the last 15 years (2008 to 2023). Owing to the novelty of DeSci, the literature review was supplemented by an anonymous online-based expert survey using a combination of single-choice and open-ended questions. The experts were selected based on predefined inclusion criteria related to their activities in the DeSci field. Seven studies were selected for evaluation from the scholarly literature, and additional 24 sources of information were included in the analysis. In the expert survey, 39 valid datasets were collected and analyzed. The synthesis of the exploratory literature review and expert survey results led to a comprehensive definition of “Decentralized Science” (DeSci) reflecting recurring themes. As no publications explicitly discussed or addressed the values or principles of DeSci in the literature review, a set of shared values and guiding principles was defined based on the expert survey results. This study proposes a comprehensive definition of DeSci and a set of shared values and guiding principles, highlighting the importance of future research in this area.

Blockchain for local communities are blockchain-based applications that support the participation of people in the social and economic life of their local community. These applications leverage tokenization to enable socio-economic processes involving transactions of values where community members take part actively and intentionally. In this field, mechanisms that regulate the functioning of blockchains need to be redirected towards collaborative and social purposes that often differ from the logics on which mainstream cryptocurrencies are based. In order to redesign these mechanisms, sound examination of their system of tokenization and of dynamics of their token economy is required. This paper provides an exploratory review of token economy elements found within cases of blockchain for local community economies, which is an under-explored domain in the relevant literature. The analysis considers 9 projects for systems that incentivize or reward participation, or implement community currency schemes. The dimensions analyzed encompass the type of goals and communities, the blockchains adopted, and token economy design aspects such as: token types, their distribution and incentive mechanisms, the associated platform/wallet functionalities, and the project governance models. We have observed a variety of combinations of these elements being used to facilitate new forms of value circulation. However, there is a tension between the aspiration to introduce transformative systems and the need to ensure the stability of the economic framework. The highly experimental nature of these initiatives requires continuous monitoring of their emergence and development.

With the widespread adoption of blockchain technology, a novel organizational structure known as Decentralized Autonomous Organizations (DAOs) has attracted considerable attention. DAOs facilitate decision-making through member voting, realizing the governance in a decentralized manner. However, DAOs face unique challenges compared to traditional organization. This paper focuses on two key challenges of governance within DAOs: the whale problem and collusion issue. The whale problem is characterized by the concentration of power among specific members, while for the collusion problem, voting results are distorted by fraudulent collaboration. In terms of voting, we consider Quadratic Voting, a voting system expected to deter the concentration of voting power among a subset of participants, analyzing its resistance to the collusion problem. We show with numerical examples that in comparison to Linear Voting, Quadratic Voting lacks resistance to collusion. Then, we propose a voting mechanism that integrates Quadratic Voting with the Vote escrow tokens, demonstrating the mitigation of the whale problem while acquiring resilience to collusion in the decision-making process. The numerical examples confirm the high efficacy of our proposed model.

These days, there is a lot of demand for cryptocurrencies, and investors are essentially investing in them. The fact that there are already over 6,000 cryptocurrencies in use worldwide because of this, investors with regular incomes put money into promising cryptocurrencies that have low market values. Accurate pricing forecasting is necessary to build profitable trading strategies because of the unique characteristics and volatility of cryptocurrencies. For consistent forecasting accuracy in an unknown price range, a variation point detection technique is employed. Due to its bidirectional nature, a Bi-LSTM appropriate for recording long-term dependencies in data that is sequential. Accurate forecasting in the cryptocurrency space depends on identifying these connections, since values are subject to change over time due to a variety of causes. In this work, we employ four deep learning-based models that are LSTM, FB-Prophet, LSTM-GRU and Bidirectional-LSTM(Bi-LSTM) and these four models are compared with Silverkite. Silverkite is the main algorithm of the Python library Graykite by LinkedIn. Using historical bitcoin data from 2012 to 2021, we utilized to analyse the models’ mean absolute error (MAE) and root mean square error (RMSE). The Bi-LSTM model performs better than others, with a mean absolute error (MAE) of 0.633 and a root mean square error (RMSE) of 0.815. The conclusion has significant ramifications for bitcoin investors and industry experts.

In the ever-evolving realm of cybersecurity, the increasing integration of Metaverse systems with cutting-edge technologies such as Artificial Intelligence (AI), Blockchain, and Cloud Computing presents a host of new opportunities alongside significant challenges. This article employs a methodological approach that combines an extensive literature review with focused case study analyses to examine the changing cybersecurity landscape within these intersecting domains. The emphasis is particularly on the Metaverse, exploring its current state of cybersecurity, potential future developments, and the influential roles of AI, blockchain, and cloud technologies. Our thorough investigation assesses a range of cybersecurity standards and frameworks to determine their effectiveness in managing the risks associated with these emerging technologies. Special focus is directed towards the rapidly evolving digital economy of the Metaverse, investigating how AI and blockchain can enhance its cybersecurity infrastructure whilst acknowledging the complexities introduced by cloud computing. The results highlight significant gaps in existing standards and a clear necessity for regulatory advancements, particularly concerning blockchain’s capability for self-governance and the early-stage development of the Metaverse. The article underscores the need for proactive regulatory involvement, stressing the importance of cybersecurity experts and policymakers adapting and preparing for the swift advancement of these technologies. Ultimately, this study offers a comprehensive overview of the current scenario, foresees future challenges, and suggests strategic directions for integrated cybersecurity within Metaverse systems utilising AI, blockchain, and cloud computing.

This paper explores the evidentiary significance of blockchain records and the procedural implications of integrating this technology into the U.S. judicial system, as several states have undertaken legislative measures to facilitate the admissibility of blockchain evidence. We employ a comprehensive methodological approach, including legislative analysis, comparative case law analysis, technical examination of blockchain mechanics, and stakeholder engagement. Our study suggests that blockchain evidence may be categorized as hearsay exceptions or non-hearsay, depending on the specific characteristics of the records. The paper proposes a specialized consensus mechanism for standardizing blockchain evidence authentication and outlines strategies to enhance the technology’s trustworthiness. It also highlights the importance of expert testimony in clarifying blockchain’s technical aspects for legal contexts. This study contributes to understanding blockchain’s integration into judicial systems, emphasizing the need for a comprehensive approach to its admissibility and reliability as evidence. It bridges the gap between technology and law, offering a blueprint for standardizing legal approaches to blockchain and urging ethical and transparent technology use.

Current attempts to regulate blockchain technology are mainly based on securities law framework, which considers crypto tokens and digital assets as either securities, currencies or derivatives thereof. The main limitation of such approach lies in its inability to accommodate the diverse legal rights, obligations and assets that blockchain technology can virtually reproduce. Already in 2017–2018 there were attempts to tokenize rights outside of securities law framework, these initiatives served more as makeshift solutions to circumvent securities regulations than as thorough frameworks for managing real-world assets and commercial activities. This article conducts a comparative and historical analysis of blockchain regulatory initiatives in Europe and the US, positing that the regulation of blockchain technology through a securities law lens is driven by reactionary opportunism. Such a basis is deemed inappropriate and insufficient, as securities laws being a field of public law were not designed to govern real-world assets and commerce, which fundamentally rely on the principles of laissez-faire and freedom of contract inherent in private law. A regulatory stance focused solely on public law overlooks the full potential of blockchain technology, and risks stifling innovation and practical applications. To illustrate this, the article presents case study of tokenization of contractual rights demonstrating that securities law-focused legal regulations, such as the EU Regulation 2023/1114 on Markets in Crypto-Assets (MiCA) and Regulation 2022/858 on Distributed Ledger Technology (DLT), inadequately address the field of private commerce. Based on the analysis, the article concludes that comprehensive legal framework for blockchain technology shall combine public and private law regime akin to the regulation of traditional rights, obligations and assets.

The paper reviews Circles UBI as an illustrative case study of implementing the idea of universal basic income (UBI) on blockchain. Circles was born out of the Gnosis Chain as a more democratic alternative to Bitcoin coupled with the ambitious political project of algorithmically distributing UBI. Backed by the Gnosis Chain, Circles Coop was founded in 2020 to implement this idea in Berlin. Examining the failure of the Berlin pilot helps us draw substantial conclusions with regard to the implementation of UBI on blockchain. UBI alone, on blockchain or not, is not enough to solve the problems its proponents argue against. UBI would be helpful as a tool if plugged into a model of production embedded into a political strategy aiming to fix key problems of current societies such as gaping inequalities and climate change. We give a snapshot here of the model of open cooperativism as a counter-hegemonic political project vis-à-vis neoliberalism. Circles UBI could plug into the model of open cooperativism as a distribution and liquidity injection mechanism to foster the transition towards a commons-based ethical and sustainable post-capitalist economy.

Self-sovereign identity is an emerging blockchain technology field. Its use cases primarily surround identity and credential management and advocate the privacy of user details during the verification process. Our endeavor was to test and implement the features promoted for self-sovereign identity through open- and closed-source frameworks utilizing a scenario of building access management to adhere to health risk and safety questionnaires during the COVID-19 pandemic. Our investigation identifies whether user data privacy could be ensured through verifiable credentials and whether business practices would need to evolve to mitigate storing personal data centrally.