Graph Theoretical Methods for Blockchain Data Analysis

区块链数据分析的图论方法

• 批准号: 2139349
• 负责人: Christopher Saunders
• 金额: $ 0.76万
• 依托单位: South Dakota State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2139349&HistoricalAwards=false
• 关键词: Graph; Theoretical; Methods; Blockchain; Data

Graph Theoretical Methods for Blockchain Data Analysis Workshop, May 25, 2022 George Mason UniversityThe Workshop on Graph Theoretical Methods for Blockchain Data Analysis will be focused on the recent developments on the foundational statistical and mathematical tools associated with the data structures that arise from the use of distributed secure ledger technologies. Building on the efforts of the first conference, the second workshop will bring together researchers from a broad range of mathematical and statistical disciplines, from graph theory to computational topology to mathematical statistics, to discuss the open problems in analysis, modeling and inference for this class of data in an open forum. While the goal of the second workshop is focused on the mathematical sciences community, we will also include select researchers in e-crime detection, cryptocurrency risk analysis, integration of private and public blockchains, and other distributed ledger-based applications to calibrate the mathematical scientists on the needs of this community. The Workshop on Graph Theoretical Methods for Blockchain Data Analysis will address issues related to the new blockchain technology. Blockchain has already revolutionized many fields, from e-payments to digital ownership management, enabling organizations to leverage a secure distributed public ledger. The first popular application of blockchain was the Bitcoin cryptocurrency, and since then blockchain technology has witnessed rapid evolution and unprecedented interest, from investors to regulating agencies to the general public. For instance, most recent versions of public blockchains such as Ethereum are now used to support fundraising activities for many start-ups by enabling the sales of digital assets worth billions of dollars, to trace the life cycles of crops and other agricultural products, from seed to consumers, determining the responsibilities of each party within the supply chain, and to validate compliance protocols and transparency of clinical trials. As more blockchain applications and variations of the original algorithms are developed and deployed, novel interdisciplinary tools for blockchain data analytics are of critical importance for enhancing our understanding of the emerging phenomena and a wide range of its societal impacts, from energy sharing during natural disasters to novel methods for secure access of electronic health information. This workshop will bring together researchers in the mathematical sciences to address the needs of this rapidly evolving community.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

区块链数据分析的图理论方法研讨会，2022年5月25日乔治梅森大学区块链数据分析的图理论方法研讨会将重点关注与分布式安全账本技术使用产生的数据结构相关的基础统计和数学工具的最新发展。在第一届会议的基础上，第二届研讨会将汇集来自广泛的数学和统计学科的研究人员，从图论到计算拓扑再到数理统计，在一个开放的论坛上讨论这类数据的分析、建模和推理方面的开放问题。虽然第二次研讨会的目标集中在数学科学界，但我们还将包括电子犯罪检测、加密货币风险分析、私有和公共区块链集成以及其他基于分布式账本的应用程序方面的精选研究人员，以根据该社区的需求校准数学科学家。区块链数据分析的图理论方法研讨会将讨论与新区块链技术相关的问题。区块链已经彻底改变了许多领域，从电子支付到数字所有权管理，使组织能够利用安全的分布式公共分类账。区块链的第一个流行应用是比特币加密货币，从那时起，区块链技术见证了快速发展和前所未有的兴趣，从投资者到监管机构再到公众。例如，以太坊等最新版本的公共区块链现在被用于支持许多初创企业的筹款活动，通过销售价值数十亿美元的数字资产，追踪作物和其他农产品的生命周期，从种子到消费者，确定供应链中各方的责任，并验证合规性协议和临床试验的透明度。随着越来越多的区块链应用程序和原始算法的变化被开发和部署，用于区块链数据分析的新型跨学科工具对于增强我们对新兴现象及其广泛的社会影响的理解至关重要，从自然灾害期间的能源共享到安全访问电子健康信息的新方法。本次研讨会将汇集数学科学领域的研究人员，以解决这个快速发展的社区的需求。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。