2,147 research outputs found

    Head in the BitCloud: A Discussion on the Copyrightability and Ownership Rights in Generative Digital Art and Non-Fungible Tokens

    Get PDF
    This Comment discusses three major copyright questions raised by non-fungible tokens (NFTs) creation and distribution in the digital art world. First, how does employing AI in the creation of generative and derivative digital art and NFTs affect the copyright requirements of authorship? Second, who is the rightful owner of an NFT image pre- and post-purchase? Finally, how does the first sale doctrine apply to NFT image purchases and are those protections enough to resolve future copyright-specific NFT claims? In Part I, an introductory example is laid out to showcase the complex issues generative and derivative digital art and NFT images create within copyright law. Part II provides a foundational knowledge of key topics. This section explains what blockchain technology, smart contracts, and cryptocurrency are, and how they relate to the creation and sale of NFTs and NFT images. It goes on to address key NFT concepts such as on-chain and off-chain transactions, while outlining why there is real value in purchasing NFT images. This section concludes by discussing the future application of NFTs to other professional industries. Part III discusses how copyright law and NFTs interact. It explores the arguments on both sides of the copyright debate discussing AI-generated creative works and the authorship requirement. It then determines that most original and generated NFT images should be copyrightable because of the amount of creativity and planning that goes into creating the NFT projects and the AI that generates these NFT images. This portion also discusses who the rightful owner should be when generative NFT image projects spawn derivative NFT images, determining the artist who created the derivative NFT project is likely the default owner of the resulting works. Part IV then turns to the question of how the current first sale doctrine applies to NFT images. It briefly discusses how past legislative amendments have failed to address default rights in digital works while arguing the current doctrine does not adequately protect NFT image artists or purchasers. It then discusses how amending the first sale doctrine is the most efficient way to ensure an NFT image’s copyright is not diluted, while subsequently protecting both NFT artists and purchasers. It proposes an amendment to the first sale doctrine that would grant NFT image purchasers specific default rights in the NFT images they are purchasing. It distinguishes NFT images from former digital goods seeking first sale protection by addressing long-held concerns Congress has wrestled with when discussing digital asset ownership in the past. This section focuses on how the transparency and immutability of blockchain and smart contracts has nullified the issues of increased piracy risk and former inadequate asset tracking protocols. Finally, Part V summarizes why this type of amendment would be the best way to ensure NFTs continue providing value to the artistic community without diluting the creative rights they were created to track and protect

    LIPIcs, Volume 251, ITCS 2023, Complete Volume

    Get PDF
    LIPIcs, Volume 251, ITCS 2023, Complete Volum

    A Critical Review Of Post-Secondary Education Writing During A 21st Century Education Revolution

    Get PDF
    Educational materials are effective instruments which provide information and report new discoveries uncovered by researchers in specific areas of academia. Higher education, like other education institutions, rely on instructional materials to inform its practice of educating adult learners. In post-secondary education, developmental English programs are tasked with meeting the needs of dynamic populations, thus there is a continuous need for research in this area to support its changing landscape. However, the majority of scholarly thought in this area centers on K-12 reading and writing. This paucity presents a phenomenon to the post-secondary community. This research study uses a qualitative content analysis to examine peer-reviewed journals from 2003-2017, developmental online websites, and a government issued document directed toward reforming post-secondary developmental education programs. These highly relevant sources aid educators in discovering informational support to apply best practices for student success. Developmental education serves the purpose of addressing literacy gaps for students transitioning to college-level work. The findings here illuminate the dearth of material offered to developmental educators. This study suggests the field of literacy research is fragmented and highlights an apparent blind spot in scholarly literature with regard to English writing instruction. This poses a quandary for post-secondary literacy researchers in the 21st century and establishes the necessity for the literacy research community to commit future scholarship toward equipping college educators teaching writing instruction to underprepared adult learners

    Threshold Encrypted Mempools: Limitations and Considerations

    Full text link
    Encrypted mempools are a class of solutions aimed at preventing or reducing negative externalities of MEV extraction using cryptographic privacy. Mempool encryption aims to hide information related to pending transactions until a block including the transactions is committed, targeting the prevention of frontrunning and similar behaviour. Among the various methods of encryption, threshold schemes are particularly interesting for the design of MEV mitigation mechanisms, as their distributed nature and minimal hardware requirements harmonize with a broader goal of decentralization. This work looks beyond the formal and technical cryptographic aspects of threshold encryption schemes to focus on the market and incentive implications of implementing encrypted mempools as MEV mitigation techniques. In particular, this paper argues that the deployment of such protocols without proper consideration and understanding of market impact invites several undesired outcomes, with the ultimate goal of stimulating further analysis of this class of solutions outside of pure cryptograhic considerations. Included in the paper is an overview of a series of problems, various candidate solutions in the form of mempool encryption techniques with a focus on threshold encryption, potential drawbacks to these solutions, and Osmosis as a case study. The paper targets a broad audience and remains agnostic to blockchain design where possible while drawing from mostly financial examples

    Online reverse auctions research in marketing versus SCM: A review and future directions

    Get PDF
    An online reverse auction (ORA) is a dynamic procurement mechanism that allows suppliers to compete in real time via a platform to gain a buyer’s business. The ORA is a technological tool introduced in the late 1990s, gaining proponents and detractors among practitioners and academics. Remarkably, while practitioner interestin ORAs has grown, related marketing and supply chain management (SCM) research has declined. This contradiction between theory and practice suggests the need to conduct a systematic review to provide readers with a state-of-the-art understanding of ORAs and recommend fruitful avenues for further research. We focus on the marketing literature and contrast the findings with SCM literature, in such an analysis practical relevance is stressed. Our study offers three main contributions: (1) integration of the cumulative marketing knowledge on ORAs in the 2002–2020 period, (2) development of a three-layer framework of the ORA domain (i.e., conceptualization, ORA as a process, and research setting), and (3) construction of a new research agenda to deal with scholarly challenges and emerging trends.Xunta de Galicia | Ref. GPC ED431B 2022/10Universidade de Vigo/CISU

    Learning in Repeated Multi-Unit Pay-As-Bid Auctions

    Full text link
    Motivated by Carbon Emissions Trading Schemes, Treasury Auctions, and Procurement Auctions, which all involve the auctioning of homogeneous multiple units, we consider the problem of learning how to bid in repeated multi-unit pay-as-bid auctions. In each of these auctions, a large number of (identical) items are to be allocated to the largest submitted bids, where the price of each of the winning bids is equal to the bid itself. The problem of learning how to bid in pay-as-bid auctions is challenging due to the combinatorial nature of the action space. We overcome this challenge by focusing on the offline setting, where the bidder optimizes their vector of bids while only having access to the past submitted bids by other bidders. We show that the optimal solution to the offline problem can be obtained using a polynomial time dynamic programming (DP) scheme. We leverage the structure of the DP scheme to design online learning algorithms with polynomial time and space complexity under full information and bandit feedback settings. We achieve an upper bound on regret of O(MTlogB)O(M\sqrt{T\log |\mathcal{B}|}) and O(MBTlogB)O(M\sqrt{|\mathcal{B}|T\log |\mathcal{B}|}) respectively, where MM is the number of units demanded by the bidder, TT is the total number of auctions, and B|\mathcal{B}| is the size of the discretized bid space. We accompany these results with a regret lower bound, which match the linear dependency in MM. Our numerical results suggest that when all agents behave according to our proposed no regret learning algorithms, the resulting market dynamics mainly converge to a welfare maximizing equilibrium where bidders submit uniform bids. Lastly, our experiments demonstrate that the pay-as-bid auction consistently generates significantly higher revenue compared to its popular alternative, the uniform price auction.Comment: 51 pages, 12 Figure

    Tradition and Innovation in Construction Project Management

    Get PDF
    This book is a reprint of the Special Issue 'Tradition and Innovation in Construction Project Management' that was published in the journal Buildings

    Current issues of the management of socio-economic systems in terms of globalization challenges

    Get PDF
    The authors of the scientific monograph have come to the conclusion that the management of socio-economic systems in the terms of global challenges requires the use of mechanisms to ensure security, optimise the use of resource potential, increase competitiveness, and provide state support to economic entities. Basic research focuses on assessment of economic entities in the terms of global challenges, analysis of the financial system, migration flows, logistics and product exports, territorial development. The research results have been implemented in the different decision-making models in the context of global challenges, strategic planning, financial and food security, education management, information technology and innovation. The results of the study can be used in the developing of directions, programmes and strategies for sustainable development of economic entities and regions, increasing the competitiveness of products and services, decision-making at the level of ministries and agencies that regulate the processes of managing socio-economic systems. The results can also be used by students and young scientists in the educational process and conducting scientific research on the management of socio-economic systems in the terms of global challenges

    LEI: Livestock Event Information Schema for Enabling Data Sharing

    Full text link
    Data-driven advances have resulted in significant improvements in dairy production. However, the meat industry has lagged behind in adopting data-driven approaches, underscoring the crucial need for data standardisation to facilitate seamless data transmission to maximise productivity, save costs, and increase market access. To address this gap, we propose a novel data schema, Livestock Event Information (LEI) schema, designed to accurately and uniformly record livestock events. LEI complies with the International Committee for Animal Recording (ICAR) and Integrity System Company (ISC) schemas to deliver this data standardisation and enable data sharing between producers and consumers. To validate the superiority of LEI, we conducted a structural metrics analysis and a comprehensive case study. The analysis demonstrated that LEI outperforms the ICAR and ISC schemas in terms of design, while the case study confirmed its superior ability to capture livestock event information. Our findings lay the foundation for the implementation of the LEI schema, unlocking the potential for data-driven advances in livestock management. Moreover, LEI's versatility opens avenues for future expansion into other agricultural domains, encompassing poultry, fisheries, and crops. The adoption of LEI promises substantial benefits, including improved data accuracy, reduced costs, and increased productivity, heralding a new era of sustainability in the meat industry.Comment: 63 pages, 7 figure
    corecore