Obinna Ositadimma Oleribe, Olabisi Oladipo, Iheaka Paul Ezieme, Mary Margaret Elizabeth · 5 authors
Access to quality care is essential for improved health outcomes. Decentralization improves access to healthcare services at lower levels of care, but it does not dismantle structural, funding and programming restrictions to access, resulting in inequity and inequality in population health. Unlike decentralization, Commonization Model of care reduces health inequalities and inequity, dismantles structural, funding and other program related obstacles to population health. Excellence and Friends Management Care Center (EFMC) using Commonization Model (CM), fully integrated HIV services into core health services in 121 supported facilities. This initiative improved access to care, treatment, support services, reduced stigmatization/discrimination, and improved uptake of HTC. We call on governments to adequately finance CM for health systems restructuring towards better health outcomes.
Cryptocurrencies became popular with the emergence of Bitcoin and have shown an unprecedented growth over the last few years. As of November 2016, more than 720 cryptocurrencies exist, with Bitcoin still being the most popular one. We show the statistical properties of the most important cryptocurrencies. We characterize their exchange rates versus the US Dollar by fitting parametric distributions to them, including the Student t distribution, the generalized hyperbolic distribution as well as the asymmetric normal inverse Gaussian and the asymmetric variance gamma distribution. Our findings show that cryptocurrencies exhibit strong non-normal characteristics, with standard heavy-tailed distributions such as the Student t distribution giving good descriptions of the data. This is the first study that looks at the parametric distribution of cryptocurreny returns. The results are important for investment and risk management purposes.
In this article, we review the recent developments in the digital currency landscape. We survey the economic drivers that led to the creation of digital currencies and show that they are a natural step in the evolution of means of payment. We overview two major classes of digital currencies, cryptocurrencies and platform-based digital currencies and discuss how the design of such currencies affects the incentives of their users and ultimately their popularity. Finally, we discuss competition in the digital currency market.
Bitcoin is difficult to categorize and indeed has been associated with 112 different labels in the British media (e.g., “private money,” “commodity”) – most of which poorly describe bitcoin. Specifically, our analyses of 674 media articles, focusing on the relationship between labeling and categorization, identify classification inconsistencies at three levels: within clusters of labels, between labels and categories, and between category attributes. These inconsistencies hamper categorization based on attribute similarity, audience goals, and causal models, respectively. We identify four factors that nurture this categorical anarchy and conclude with a call for research on the socioeconomic revolution heralded by blockchain technology.
At Bitcoin’s peak in November 2013, there were 93,000 global transactions made in a single day. These users purchased everyday items such as personal services, food, and real estate. This alone suggests that Bitcoin is not primarily used as a long-term investment tool, but rather is used as a currency and a vehicle for global transactions. Congress and the IRS should regulate it accordingly. Representative Stockman’s Virtual Currency Reform Act offered an attempt to negate the IRS decision and officially classify Bitcoin and other virtual currencies as currency instead of property. A tax reclassification would alleviate typical users’ many inconveniences caused by burdensome accounting and tax reporting. A reclassification would also allow and encourage the use of Bitcoin and other virtual currencies because imposing a sales tax on transactions similar to everyday currencies is a small change that most users would not find prohibitive or restrictive. While it is evident that there needs to be some form of IRS taxation of virtual currencies, attempting to classify Bitcoin according to existing tax principles is challenging and ineffective.\nAlthough this is new technology and subsequently uncharted territory for many doctrines of law, the technology should be embraced and encouraged to prosper. For example, typical sales tax on transactions made on the internet are currently an unsolved dilemma. It gets even trickier trying to throw virtual currencies into the mix. Between complex tax law, jurisdictional issues, and the constant globalization of our economy, challenging legal questions will arise. Classifying certain Bitcoin transactions for a sales tax instead of a capital gains and losses tax is the first step in the right direction toward answering these difficult questions and encouraging the use of Bitcoin and other virtual currencies to further global trade in the future.
Dong He, Karl Habermeier, Ross Leckow, Vikram Haksar · 11 authors
New technologies are driving transformational changes in the global financial system. Virtual currencies (VCs) and the underlying distributed ledger systems are among these. VCs offer many potential benefits, but also considerable risks. VCs could raise efficiency and in the long run strengthen financial inclusion. At the same time, VCs could be potential vehicles for money laundering, terrorist financing, tax evasion and fraud. While risks to the conduct of monetary policy seem less likely to arise at this stage given the very small scale of VCs, risks to financial stability may eventually emerge as the new technologies become more widely used. National authorities have begun to address these challenges and will need to calibrate regulation in a manner that appropriately addresses the risks without stifling innovation. As experience is gained, international standards and best practices could be considered to provide guidance on the most appropriate regulatory responses in different fields, thereby promoting harmonization and cooperation across jurisdictions.
Contemporary financial technology (“fintech”) efforts to enhance the clearance and settlement of transactions may reopen of long-settled questions about accounting, its role in the development of capitalism, its theological undertones, and its practical efficacy. This essay considers distributed ledger technology, the database systems underlying Bitcoin and similar digital currency experiments. Distributed ledgers do more than record transactions. They can also verify them without apparent human intercession, and they can execute more complicated tasks that take on the appearance of and have some of the same practical effects as contracts. If double-entry bookkeeping animated the modern constitution of subjects and objects of property, what do distributed ledgers herald?
Fault-tolerant consensus has been studied extensively in the literature, because it is one of the most important distributed primitives and has wide applications in practice. This paper surveys important results on fault-tolerant consensus in message-passing networks, and the focus is on results from the past decade. Particularly, we categorize the results into two groups: new problem formulations and practical applications. In the first part, we discuss new ways to define the consensus problem, which includes larger input domains, link fault models, different network models . . . etc, and briefly discuss the important techniques. In the second part, we focus on Crash Fault-Tolerant (CFT) systems that use Paxos or Raft, and Byzantine Fault-Tolerant (BFT) systems. We also discuss Bitcoin, which can be related to solving Byzantine consensus in anonymous systems, and compare Bitcoin with BFT systems and Byzantine consensus.
Blockchain or, more generally, distributed ledger technology allows to create a decentralized digital ledger of transactions and to share it among a network of computers. In this paper, we argue that the implementation of this technology in financial markets offers investors new options for managing the degree of transparency of their holdings and their trading intentions. We first identify two intrinsic features of a distributed ledger that impact the availability of these new options, namely the mapping between identifiers and end-investors and the degree of transparency of the ledger, and we then examine how the implementation design of these critical features affects investor trading behavior, trading costs, and investor welfare, in a theoretical model of intermediated and peer-to-peer trading. The most transparent setting yields the highest investor welfare, despite the risk of front-running. In the absence of full transparency, welfare is weakly higher if investors are allowed to split their holdings among many identifiers.
This paper reports the outcome of a series of interviews and focus group meetings with professionals working in post-trade processing and the provision of mutual distributed ledger services. The objective was to elicit and document views on three research hypotheses about the potential impact of mutual distributed ledger technology (‘blockchain’) on post-trade processing global securities markets. \n\nThese hypotheses are (a) on the appropriate access to mutual distributed ledger; (b) on whether change would be piecemeal or ‘big bang’; and (c) on the extent to which applying mutual distributed ledger in securities settlement would require major changes in business processes. Our research finds that while the use of blockchain to validate operational data in mutual distributed ledgers can yield substantial reductions in both cost and risk, the concept of data sharing itself is far from new. Current interest in mutual distributed ledgers has established significant momentum, but there is a danger of building unrealistic expectations of the extent to which the technology on its own will address the underlying need for co-ordination of business processes both within and between firms. Achieving all the potential benefits from mutual distributed ledgers will require board level buy-in to a substantial commitment of time and resource, and active regulatory support for process reform, with relatively little short term payoff.
In this article, we explore the formidable yet untapped capabilities of Blockchain technology and Bitcoin in order to alleviate poverty. We focus on the Republic of Moldova, which has been plagued by endemic corruption and persistently high poverty levels since her independence in 1991 following the collapse of the Soviet Union. The transformative power of Blockchain technology and Bitcoin are then evidenced through a dual analysis of tourism 2.0 (with a real-world case study) and e-governance, which can contribute to increased inward capital investment flows, and help fight off corruption practices. Finally, we conclude that these new technologies constitute a significant step in the right direction, in order to break away from twenty-five years of disappointing socio-economic development performance.
Government officials and industry experts increasingly highlight today's data privacy and security vulnerabilities require new approaches to mitigate risk. Additional methods and techniques to address current vulnerabilities are needed especially between responsible parties within a large ecosystem like finance, healthcare, and education. New approaches leveraging cryptographic ledgers and blockchains are emerging as a potential solution. This paper proposes a layered architectural approach for cryptographic ledgers to aid in security and privacy controls of digital solutions.
We study the macroeconomic consequences of issuing central bank digital currency (CBDC) — a universally accessible and interest-bearing central bank liability, implemented via distributed ledgers, that competes with bank deposits as medium of exchange. In a DSGE model calibrated to match the pre-crisis United States, we find that CBDC issuance of 30% of GDP, against government bonds, could permanently raise GDP by as much as 3%, due to reductions in real interest rates, distortionary taxes, and monetary transaction costs. Countercyclical CBDC price or quantity rules, as a second monetary policy instrument, could substantially improve the central bank’s ability to stabilise the business cycle.
Scott Ruoti, Ben Kaiser, Arkady Yerukhimovich, Jeremy Clark · 5 authors
This paper explains the functioning of “blockchain technology” and critically assesses its potential role in improving services in banking, contracts, and database systems. Comparing blockchain to the current best practice technology in these fields reveals several barriers to successful commercial implementation: Blockchain technology involves costly redundancies and irreversibility, faces serious scaling problems and significant barriers to complying with regulations, and is a security liability unless secured with its own freely trading currency. A survey of the state of the blockchain industry shows that in eight years since blockchain technology was invented, it has had no commercial applications other than digital cash. The paper concludes that a blockchain is a peculiar engineering design whose only advantage is in removing third party intermediation to allow for the creation of digital cash, and is unlikely to offer economic advantages for any commercial problem other than the one it was specifically engineered to solve.
Jan 1, 2016·Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences
Maximilian Friedlmaier, Andranik Tumasjan, Isabell M. Welpe
The blockchain (i.e., a decentralized and encrypted digital ledger) has the potential to disrupt many traditional business models. This study investigates the emerging blockchain business-application landscape by analyzing its industry, venture capital funding, and regional distribution. By matching four venture databases on blockchain-based startups we create a unique database to analyze the technology from a diffusion of innovation theoretical perspective. First, our results show that blockchain startups are present across all industry segments and are most prominently represented in the Finance & Insurance and Information & Communication industries. A fine-grained analysis of financial services yields increasing novel applications in existing service offerings. Second, we find that mainly Finance & Insurance and Information & Communication industries are funded by venture capital, but that blockchain startups are present across all industries. Third, our regional distribution analysis of the emerging ventures identifies two leading geographical blockchain clusters (i.e., the US and UK).
Abstract A multidimensional financial system could provide benefits for individuals, companies, and states. Instead of top-down control, which is destined to eventually fail in a hyperconnected world, a bottom-up creation of value can unleash creative potential and drive innovations. Multiple currency dimensions can represent different externalities and thus enable the design of incentives and feedback mechanisms that foster the ability of complex dynamical systems to self-organize and lead to a more resilient society and sustainable economy. Modern information and communication technologies play a crucial role in this process, as Web 2.0 and online social networks promote cooperation and collaboration on unprecedented scales. Within this contribution, we discuss how one dimension of a multidimensional currency system could represent socio-digital capital (Social Bitcoins) that can be generated in a bottom-up way by individuals who perform search and navigation tasks in a future version of the digital world. The incentive to mine Social Bitcoins could sustain digital diversity, which mitigates the risk of totalitarian control by powerful monopolies of information and can create new business opportunities needed in times where a large fraction of current jobs is estimated to disappear due to computerization.
Philipp Winter, Roya Ensafi, Karsten Loesing, Nick Feamster
Being a volunteer-run, distributed anonymity network, Tor is vulnerable to Sybil attacks. Little is known about real-world Sybils in the Tor network, and we lack practical tools and methods to expose Sybil attacks. In this work, we develop sybilhunter, the first system for detecting Sybil relays based on their appearance, such as configuration; and behavior, such as uptime sequences. We used sybilhunter's diverse analysis techniques to analyze nine years of archived Tor network data, providing us with new insights into the operation of real-world attackers. Our findings include diverse Sybils, ranging from botnets, to academic research, and relays that hijack Bitcoin transactions. Our work shows that existing Sybil defenses do not apply to Tor, it delivers insights into real-world attacks, and provides practical tools to uncover and characterize Sybils, making the network safer for its users.
Akari, Takuzu, Kakuro and KenKen are logic games similar to Sudoku. In Akari, a labyrinth on a grid has to be lit by placing lanterns, respecting various constraints. In Takuzu a grid has to be filled with 0's and 1's, while respecting certain constraints. In Kakuro a grid has to be filled with numbers such that the sums per row and column match given values; similarly in KenKen a grid has to be filled with numbers such that in given areas the product, sum, difference or quotient equals a given value. We give physical algorithms to realize zero-knowledge proofs for these games which allow a player to show that he knows a solution without revealing it. These interactive proofs can be realized with simple office material as they only rely on cards and envelopes. Moreover, we formalize our algorithms and prove their security.
Dappfort is a blockchain-focused Web3 development company that helps businesses harness the power of decentralized technologies to build secure, scalable, and future-ready digital solutions. Headquartered in Madurai, India, with additional presence in London, Dappfort works across a broad range of industries — including finance, healthcare, gaming, retail, and supply chain — delivering tailored blockchain and Web3 applications to startups, enterprises, and global organizations. The company’s core services include the design and development of decentralized applications (DApps), crypto exchanges (centralized and decentralized), crypto wallets, NFT marketplaces, DeFi platforms, token creation, smart contract development, and enterprise Web3 integration. Dappfort also expands into related areas such as Web3 e-commerce, AI-powered blockchain solutions, and metaverse experiences, supporting clients from strategy and consulting through deployment and ongoing support. With expertise in major blockchain networks like Ethereum, Solana, Binance Smart Chain, and others, Dappfort positions itself as a full-stack partner for businesses aiming to enter or grow in the decentralized digital economy. While the company promotes a strong innovation- and security-oriented approach, external reviews on third-party platforms show mixed feedback from users about project delivery and quality.
Blockchain represents a technology for establishing a shared, immutable version of the truth between a network of participants that do not trust one another, and therefore has the potential to disrupt any financial or other industries that rely on third-parties to establish trust. Recent trends in computing including: prevalence of Free and Open Source Software (FOSS); easy access to High Performance Computing (HPC i.e. 'The Cloud'); and increasingly advanced analytics capabilities such as Natural Language Processing (NLP) and Machine Learning (ML) allow for rapidly prototyping applications for analysis of trends in the emergence of Blockchain technology. A scaleable proof-of-concept pipeline that lays the groundwork for analysis of multiple streams of semi-structured data posted on social media is demonstrated. Preliminary analysis and performance metrics are presented and discussed. Future work is described that will scale the system to cloud-based, real-time, analysis of multiple data streams, with Information Extraction (IE) (ex. sentiment analysis) and Machine Learning capability.