Bitcoin (BTC) je digitalna, decentralizirana, anonimna platna mreža, a ujedno i kripto valuta koja je korištena u toj mreži. BTC se koristi za elektronsko plaćanje usluga. U pojedinim mjestima, također, je moguće platiti noćenje u lancu hotela, kupiti pizzu, kupiti VPB servis... Diplomski rad podijeljen je na dva glavna dijela. U prvom dijelu objašnjeno je sve što potrebno za razumjeti što je to Bitcoin. U drugom dijelu opisani su bitniji dijelovi koda Bitcoin algoritam
Decentralized cryptocurrencies feature the use of blockchain to transfer values among peers on networks without central agency. Smart contracts are programs running on top of the blockchain consensus protocol to enable people make agreements while minimizing trusts. Millions of smart contracts have been deployed in various decentralized applications. The security vulnerabilities within those smart contracts pose significant threats to their applications. Indeed, many critical security vulnerabilities within smart contracts on Ethereum platform have caused huge financial losses to their users. In this work, we present ContractFuzzer, a novel fuzzer to test Ethereum smart contracts for security vulnerabilities. ContractFuzzer generates fuzzing inputs based on the ABI specifications of smart contracts, defines test oracles to detect security vulnerabilities, instruments the EVM to log smart contracts runtime behaviors, and analyzes these logs to report security vulnerabilities. Our fuzzing of 6991 smart contracts has flagged more than 459 vulnerabilities with high precision. In particular, our fuzzing tool successfully detects the vulnerability of the DAO contract that leads to USD 60 million loss and the vulnerabilities of Parity Wallet that have led to the loss of USD 30 million and the freezing of USD 150 million worth of Ether.
Subscribing to a techno-utopian discourse replacing institutions and experts with “trust in code,” digital alternative currency Bitcoin is pitched as a “math-based money” governed by incorruptible code rather than human regulators. In three cases, which occurred between 2013 and 2015, we examine this system at moments of breakdown. In contrast to the discourse, we find that power is concentrated to critical sites and individuals who manage the system through ad hoc negotiations, and who users must therefore implicitly trust—a contrast we call Bitcoin’s “promissory gap.” But even in the face of such contradictions between premise and reality, the discourse is maintained. We identify four authorizing strategies used in this work: conflating people with devices, assuming actors conform to notions of economic rationality, appealing to technical expertise, and explaining contradictions as temporary bugs. We contend that these strategies are mobilized widely to legitimize a variety of applications of algorithmic regulation and peer production projects.
Guilherme Pinto, João Pedro Dias, Hugo Sereno Ferreira
The Internet of Things is progressively getting broader, evol-ving its scope while creating new markets and adding more to the existing ones. However, both generation and analysis of large amounts of data, which are integral to this concept, may require the proper protection and privacy-awareness of some sensitive information. In order to control the access to this data, allowing devices to verify the reliability of their own interactions with other endpoints of the network is a crucial step to ensure this required safeness. Through the implementation of a blockchain-based Public Key Infrastructure connected to the Keybase platform, it is possible to achieve a simple protocol that binds devices' public keys to their owner accounts, which are respectively supported by identity proofs. The records of this blockchain represent digital signatures performed by this Keybase users on their respective devices' public keys, claiming their ownership. Resorting to this distributed and decentralized PKI, any device is able to autonomously verify the entity in control of a certain node of the network and prevent future interactions with unverified parties.
Blockchain platforms, such as Ethereum, allow a set of actors to maintain a ledger of transactions without relying on a central authority and to deploy scripts, called smart contracts, that are executed whenever certain transactions occur. These features can be used as basic building blocks for executing collaborative business processes between mutually untrusting parties. However, implementing business processes using the low-level primitives provided by blockchain platforms is cumbersome and error-prone. In contrast, established business process management systems, such as those based on the standard Business Process Model and Notation (BPMN), provide convenient abstractions for rapid development of process-oriented applications. This article demonstrates how to combine the advantages of a business process management system with those of a blockchain platform. The article introduces a blockchain-based BPMN execution engine, namely Caterpillar. Like any BPMN execution engine, Caterpillar supports the creation of instances of a process model and allows users to monitor the state of process instances and to execute tasks thereof. The specificity of Caterpillar is that the state of each process instance is maintained on the (Ethereum) blockchain and the workflow routing is performed by smart contracts generated by a BPMN-to-Solidity compiler. The Caterpillar compiler supports a large array of BPMN constructs, including subprocesses, multi-instances activities and event handlers. The paper describes the architecture of Caterpillar, and the interfaces it provides to support the monitoring of process instances, the allocation and execution of work items, and the execution of service tasks.
Matteo Signorini, Matteo Pontecorvi, Waël Kanoun, Roberto Di Pietro
Anomaly detection tools play a role of paramount importance in protecting networks and systems from unforeseen attacks, usually by automatically recognizing and filtering out anomalous activities. Over the years, different approaches have been designed, all focused on lowering the false positive rate. However, no proposal has addressed attacks targeting blockchain-based systems. In this paper we present BAD: the first Blockchain Anomaly Detection solution. BAD leverages blockchain meta-data, named forks, in order to collect potentially malicious activities in the network/system. BAD enjoys the following features: (i) it is distributed (thus avoiding any central point of failure), (ii) it is tamper-proof (making not possible for a malicious software to remove or to alter its own traces), (iii) it is trusted (any behavioral data is collected and verified by the majority of the network) and (iv) it is private (avoiding any third party to collect/analyze/store sensitive information). Our proposal is validated via both experimental results and theoretical complexity analysis, that highlight the quality and viability of our Blockchain Anomaly Detection solution.
Blockchain platforms, such as Ethereum, allow a set of actors to maintain a\nledger of transactions without relying on a central authority and to deploy\nscripts, called smart contracts, that are executed whenever certain\ntransactions occur. These features can be used as basic building blocks for\nexecuting collaborative business processes between mutually untrusting parties.\nHowever, implementing business processes using the low-level primitives\nprovided by blockchain platforms is cumbersome and error-prone. In contrast,\nestablished business process management systems, such as those based on the\nstandard Business Process Model and Notation (BPMN), provide convenient\nabstractions for rapid development of process-oriented applications. This\narticle demonstrates how to combine the advantages of a business process\nmanagement system with those of a blockchain platform. The article introduces a\nblockchain-based BPMN execution engine, namely Caterpillar. Like any BPMN\nexecution engine, Caterpillar supports the creation of instances of a process\nmodel and allows users to monitor the state of process instances and to execute\ntasks thereof. The specificity of Caterpillar is that the state of each process\ninstance is maintained on the (Ethereum) blockchain and the workflow routing is\nperformed by smart contracts generated by a BPMN-to-Solidity compiler. The\nCaterpillar compiler supports a large array of BPMN constructs, including\nsubprocesses, multi-instances activities and event handlers. The paper\ndescribes the architecture of Caterpillar, and the interfaces it provides to\nsupport the monitoring of process instances, the allocation and execution of\nwork items, and the execution of service tasks.\n
Hao Dai, H. P. Young, Thomas J S Durant, Guannan Gong · 8 authors
The governance of data used for biomedical research and clinical trials is an important requirement for generating accurate results. To improve the visibility of data quality and analysis, we developed TrialChain, a blockchain-based platform that can be used to validate data integrity from large, biomedical research studies. We implemented a private blockchain using the MultiChain platform and integrated it with a data science platform deployed within a large research center. An administrative web application was built with Python to manage the platform, which was built with a microservice architecture using Docker. The TrialChain platform was integrated during data acquisition into our existing data science platform. Using NiFi, data were hashed and logged within the local blockchain infrastructure. To provide public validation, the local blockchain state was periodically synchronized to the public Ethereum network. The use of a combined private/public blockchain platform allows for both public validation of results while maintaining additional security and lower cost for blockchain transactions. Original data and modifications due to downstream analysis can be logged within TrialChain and data assets or results can be rapidly validated when needed using API calls to the platform. The TrialChain platform provides a data governance solution to audit the acquisition and analysis of biomedical research data. The platform provides cryptographic assurance of data authenticity and can also be used to document data analysis.
Bitcoin is the first secure decentralized electronic currency system. However, it is known to be inefficient due to its proof-of-work (PoW) consensus algorithm and has the potential hazard of double spending. In this paper, we aim to reduce the probability of double spending by decreasing the probability of consecutive winning. We first formalize a PoW-based decentralized secure network model in order to present a quantitative analysis. Next, to resolve the risk of double spending, we propose the personalized difficulty adjustment (PDA) mechanism which modifies the difficulty of each participant such that those who win more blocks in the past few rounds have a smaller probability to win in the next round. To analyze the performance of the PDA mechanism, we observe that the system can be modeled by a high-order Markov chain. Finally, we show that PDA effectively decreases the probability of consecutive winning and results in a more trustworthy PoW-based system.
This three-paper dissertation studies education systems where decision-making power and funding is shared across different levels of government, their achievement levels and inequality across socieoconomic groups. \nThe first chapter, “Population Density and Educational Inequality: The Role of Public School Choice and Accountability” relates National Assessment of Educational Progress (NAEP) test differences to levels of population agglomeration. Using detailed individual level-data, I establish that being in a denser area is associated with an increase in the socioeconomic gap of about 1 percent for each 10 percent increase in density levels. This is robust to the use of a geographic regression discontinuity design that leverages discontinuities in density across neighboring commuting zones. It is consistent with a theory whereby density leads to greater school socioeconomic segregation. The findings underscore that conventional democratic accountability mechanisms are insufficient to overcome this segregation.\nIn the second chapter, “The Quality and Access Tradeoff in Decentralization Reform: Evidence from Education in the OECD and Spain” (co-authored with Susana Cordeiro Guerra) we study the effect of decentralization reform on education outcomes. While there are theoretical reasons for bringing the locus of decision-making closer to citizens, our knowledge of the effects of decentralization is limited. We first draw on a panel dataset from OECD countries to capture changes on where different decisions are made and their effects on outcomes. Decentralizing has a broadly negative effect on quality indicators but a positive effect on access indicators. We test the argument that upon decentralizing, some regional governments have incentives to assert their legitimacy and pursue highly visible and short-term policies, such as expanding access. Exploiting the exogenous timing of decentralization in Spain (in 1980-2000), we find that variation in the degree of regional assertiveness is related to the magnitude and sign of the effects of decentralization. \nThe third paper, “The Relation between Local Financing and Education Outcomes: Evidence from US School Districts” explores the effects of locally raised revenue. I hypothesize that a higher local revenue share will be related to better school performance, as citizens will be more demanding and in control of the school budget. I look at test scores from the 2007 NAEP, with three empirical approaches. First, I exploit changes in house prices during the 2000 to 2007 boom. Second, I use variation from state fiscal regimes; and third, I leverage covariation within a geographic area. Consistently, local revenue share is associated with about .3-.7% SD higher scores per additional percentage point of local revenue share. It is also associated with greater inequality by socioeconomic status. I find evidence that locally financed districts differ by spending more on teacher salaries and less on administration and that Tiebout competition amplifies the effect of local financing. I find no evidence of a relation between local revenue and citizen participation in education governance. These findings suggest an important behavioral dimension of local financing that would support its continued use.
Volker Strobel, Eduardo Castelló Ferrer, Marco Dorigo
While swarm robotics systems are often claimed to be highly fault-tolerant, so far research has limited its attention to safe laboratory settings and has virtually ignored security issues in the presence of Byzantine robots---i.e., robots with arbitrarily faulty or malicious behavior. However, in many applications one or more Byzantine robots may suffice to let current swarm coordination mechanisms fail with unpredictable or disastrous outcomes. In this paper, we provide a proof-of-concept for managing security issues in swarm robotics systems via blockchain technology. Our approach uses decentralized programs executed via blockchain technology (blockchain-based smart contracts) to establish secure swarm coordination mechanisms and to identify and exclude Byzantine swarm members. We studied the performance of our blockchain-based approach in a collective decision-making scenario both in the presence and absence of Byzantine robots and compared our results to those obtained with an existing collective decision approach. The results show a clear advantage of the blockchain approach when Byzantine robots are part of the swarm.
Patrick G. Sylim, Fang Liu, Alvin Marcelo, Paul Fontelo
BACKGROUND: Drug counterfeiting is a global problem with significant risks to consumers and the general public. In the Philippines, 30% of inspected drug stores in 2003 were found with substandard/spurious/falsely-labeled/falsified/counterfeit drugs. The economic burden on the population drug expenditures and on governments is high. The Philippine Food and Drug Administration (FDA) encourages the public to check the certificates of product registration and report any instances of counterfeiting. The National Police of Philippines responds to such reports through a special task force. However, no literature on its impact on the distribution of such drugs were found. Blockchain technology is a cryptographic ledger that is allegedly immutable through repeated sequential hashing and fault-tolerant through a consensus algorithm. This project will develop and test a pharmacosurveillance blockchain system that will support information sharing along the official drug distribution network. OBJECTIVE: This study aims to develop a pharmacosurveillance blockchain system and test its functions in a simulated network. METHODS: We are developing a Distributed Application (DApp) that will run on smart contracts, employing Swarm as the Distributed File System (DFS). Two instances will be developed: one for Ethereum and another for Hyperledger Fabric. The proof-of-work (PoW) consensus algorithm of Ethereum will be modified into a delegated proof-of-stake (DPoS) or practical Byzantine fault tolerance (PBFT) consensus algorithm as it is scalable and fits the drug supply chain environment. The system will adopt the GS1 pedigree standard and will satisfy the data points in the data standardization guidelines from the US FDA. Simulations will use the following 5 nodes: for FDA, manufacturer, wholesaler, retailer, and the consumer portal. RESULTS: Development is underway. The design of the system will place FDA in a supervisory data verification role, with each pedigree type-specific data source serving a primary data verification role. The supply chain process will be initiated by the manufacturer, with recursive verification for every transaction. It will allow consumers to scan a code printed on the receipt of their purchases to review the drug distribution history. CONCLUSIONS: Development and testing will be conducted in a simulated network, and thus, results may differ from actual practice. The project being proposed is disruptive; once tested, the team intends to engage the Philippine FDA to discuss implementation plans and formulate policies to facilitate adoption and sustainability. REGISTERED REPORT IDENTIFIER: RR1-10.2196/10163.
This letter questions the true nature (true versus spurious) of the Long Range Dependence (LRD) behavior observed in the returns and volatility series of four Cryptocurrencies (CC). Using a robust approach, this letter shows that the LRD behavior exhibited by the returns and volatility series of Bitcoin, Litecoin, and Ripple is a true behavior, and not a statistical artifact. As for Ethereum, the results show that the true LRD is only supported for the volatility series. Our results confirm the inefficiency of all the considered markets, with the exception of Ethereum.
The problems of formation of revenues of local budgets are investigated in the article. It has been established that significant centralization has affected the reduction of financial independence of local selfgovernment bodies. Changes in the management of local budgets caused by the introduction of a decentralized model encourage local self-government bodies to attract additional financial resources and form a certain economic potential. The feasibility of introducing a public-private partnership through the application ofdifferent methods and tools based on the form of interaction of project participants is substantiated. Suchcooperation requires the organization of complex, mixed private-public structures that can provide largescale infrastructure projects with resources. The advantages of project financing of economic development ofterritories in the framework of public-private partnership (PPP) are revealed.In order to ensure the financial attractiveness of projects implemented on the basis of public privatepartnership and aimed at ensuring the sustainable economic development of regions, it is recommended touse organizational models such as DBFO (Design, Build, Finance, Operate) and DBO (Design, Build, Operate).
A bitcoin node needs to download the full block contents of the entire blockchain, before actually being able to send and receive transactions on bitcoin broadcast network, except simple payment verification clients which require only block headers and bloom filters to sync with others peers available on the network. Transactions/Blocks pass through a complex process at sender and receiver than it apparently looks to be. During transmission transactions/blocks are broken down into smaller chunks of data so that they can be carried on the wire. These chunks are given appropriate headers, encapsulated and then passed through several layers to reach the destination. In this paper we captured Bitcoin packets using Wireshark and deeply investigated and analyzed them. We investigated how bitcoin transaction/block messages work and what values and parameters are considered during this whole process.
One remarkable feature of vehicular ad hoc networks is characterized by an opportunistic communications by means of store-carry-forward message relaying which requires the cooperation of vehicles on the networks. However, we cannot be sure that all vehicles willingly contribute their computing resources to the networks for message forwarding with no rewards for their efforts in real-world scenarios. In addition, unfortunately, there may exist some selfish and greedy node which may not help others but tend to take their own gain. To cope with this challenge, incentive mechanisms are generally considered as the promising solution. In this paper, we design a Bitcoin-based secure and reliable incentive scheme for cooperative vehicular delay tolerant networking services. Bitcoin is the well-known worldwide cryptocurrency and digital payment system whose implementation relies on cryptographic techniques, which makes it possible to develop a practical credit-based incentive scheme on the vehicular networks at a low cost. We also implement Bitcoin transaction scripts to handle our proposed incentive scheme.
Paolo Missier, Shaimaa Bajoudah, Angelo Capossele, Andrea Gaglione · 5 authors
Internet of Things (IoT) data are increasingly viewed as a new form of massively distributed and large scale digital assets, which are continuously generated by millions of connected devices. The real value of such assets can only be realized by allowing IoT data trading to occur on a marketplace that rewards every single producer and consumer, at a very granular level. Crucially, we believe that such a marketplace should not be owned by anybody, and should instead fairly and transparently self-enforce a well defined set of governance rules. In this paper we address some of the technical challenges involved in realizing such a marketplace. We leverage emerging blockchain technologies to build a decentralized, trusted, transparent and open architecture for IoT traffic metering and contract compliance, on top of the largely adopted IoT brokered data infrastructure. We discuss an Ethereum-based prototype implementation and experimentally evaluate the overhead cost associated with Smart Contract transactions, concluding that a viable business model can indeed be associated with our technical approach.
Decentralised random number generation algorithms suffer from the Last Actor Problem, in which the last participant to reveal their share can manipulate the generated random value by withholding their share. This paper proposes an encrypted share threshold scheme which prevents this attack.
Jeremy A. Scher, Michael G. Bayne, Amogh Srihari, Shikha Nangia · 5 authors
The relationship between structure and property is central to chemistry and enables the understanding of chemical phenomena and processes. Need for an efficient conformational sampling of chemical systems arises from the presence of solvents and the existence of non-zero temperatures. However, conformational sampling of structures to compute molecular quantum mechanical properties is computationally expensive because a large number of electronic structure calculations are required. In this work, the development and implementation of the effective stochastic potential (ESP) method is presented to perform efficient conformational sampling of molecules. The overarching goal of this work is to alleviate the computational bottleneck associated with performing a large number of electronic structure calculations required for conformational sampling. We introduce the concept of a deformation potential and demonstrate its existence by the proof-by-construction approach. A statistical description of the fluctuations in the deformation potential due to non-zero temperature was obtained using infinite-order moment expansion of the distribution. The formal mathematical definition of the ESP was derived using the functional minimization approach to match the infinite-order moment expansion for the deformation potential. Practical implementation of the ESP was obtained using the random-matrix theory method. The developed method was applied to two proof-of-concept calculations of the distribution of HOMO-LUMO gaps in water molecules and solvated CdSe clusters at 300 K. The need for large sample size to obtain statistically meaningful results was demonstrated by performing 105 ESP calculations. The results from these prototype calculations demonstrated the efficacy of the ESP method for performing efficient conformational sampling. We envision that the fundamental nature of this work will not only extend our knowledge of chemical systems at non-zero temperatures but also generate new insights for innovative technological applications.
Open access
Advanced Physical and Chemical Molecular Interactions
Modern power systems are rapidly evolving into complex cyber-physical systems. The increasingly complex interaction among different energy entities calls for a secure, efficient, and robust cyber infrastructure. As an emerging distributed computing technology, Blockchain provides a secure environment to support such interactions. This paper gives a prospective on using Blockchain as a secure, distributed cyber infrastructure for the future grid. Firstly, the basic principles of Blockchain and its state-of-the-art are introduced. Then, a Blockchain based smart grid cyber-physical infrastructure model is proposed. Afterwards, some promising application domains of Blockchain in future grids are presented. Following this, some potential challenges are discussed.
Gihan J. Mendis, Yifu Wu, Jin Wei, Moein Sabounchi · 5 authors
Thanks to the advances in machine learning, data-driven analysis tools have become valuable solutions for various applications. However, there still remain essential challenges to develop effective data-driven methods because of the need to acquire a large amount of data and to have sufficient computing power to handle the data. In many instances these challenges are addressed by relying on a dominant cloud computing vendor, but, although commercial cloud vendors provide valuable platforms for data analytics, they can suffer from a lack of transparency, security, and privacy-perservation. Furthermore, reliance on cloud servers prevents applying big data analytics in environments where the computing power is scattered. To address these challenges, a decentralize, secure, and privacy-preserving computing paradigm is proposed to enable an asynchronized cooperative computing process amongst scattered and untrustworthy computing nodes that may have limited computing power and computing intelligence. This paradigm is designed by exploring blockchain, decentralized learning, homomorphic encryption, and software defined networking(SDN) techniques. The performance of the proposed paradigm is evaluated via different scenarios in the simulation section.
Blockchain accounting is one of the most welcomed technologies of this new era. The blockchain is a public ledger where lacks of people are connected to that ledger. Blockchain also called as distributed ledger, could help accountant to gain clearly over the available financial resources and obligations of their organization and to utilize available resources, concentrate on planning and valuation, rather than the record keeping .Blocked chain which was originally developed in2009 to record crypto currency transactions. Blockchain technology has the potential to upend entire industries. Especially the financial sector may undergo disruptive change. Although this technology caught the attention of many of the largest financial institutions, use cases still remain in the experimental phase.
Gihan J. Mendis, Moein Sabounchi, Wei Jin, Rigoberto Roche
Deep learning algorithms have recently gained attention due to their inherent capabilities and the application opportunities that they provide. Two of the main reasons for the success of deep learning methods are the availability of processing power and big data. Both of these two are expensive and rare commodities that present limitations to the usage and implementation of deep learning. Decentralization of the processing and data is one of the most prevalent solutions for these issues. This paper proposes a cooperative decentralized deep learning architecture. The contributors can train deep learning models with private data and share them to the cooperative data-driven applications initiated elsewhere. Shared models are fused together to obtain a better model. In this work, the contributors can both design their own models or train the models provided by the initiator. In order to utilize an efficient decentralized learning algorithm, blockchain technology is incorporated as a method of creating an incentive-compatible market. In the proposed method, Ethereum blockchain's scripting capabilities are employed to devise a decentralized deep learning mechanism, which provides much higher, collective processing power and grants access to large amounts of data, which would be otherwise inaccessible. The technical description of the mechanism is described and the simulation results are presented.
G. Balachandran, Grégoire Mallard, Olufunmilayo B. Arewa, Lucio Baccaro · 9 authors
This chapter attempts a broad analytical compass for surveying the main actors, institutions and instruments governing our world. Despite its seeming ubiquity, governance is a relatively new expression in this context suggestive both of new modes of exercising power, and an enhanced focus on ordering a world undergoing rapid change. Speaking generally governance may be understood as the exercise of power organized around multiple dispersed sites operating through transnational networks of actors, public as well as private, and national, regional as well as local. The turn to governance is often held to be coeval if not conjoined to profound changes in the meaning and nature of government associated with the ascendancy of ‘neo-liberal’ ideas and precepts. This has had significant implications for how governance tends to be understood. Critics associate it directly with the changing role of states in the economic and social sphere. Transnational governance, in particular, is criticized for foregrounding the priorities of corporate investors often to the detriment of social or environmental goals, subordinating principles of ‘comparative’ or ‘cooperative’ advantage to ‘competitive’ advantage, and promoting microregulatory forms of regulation over strategic or structurally-focused interventions (such as industrial policy). Associated shifts trace states’ powers, otherwise a touchstone of sovereignty, being increasingly negotiated with transnational private actors and international financial institutions (IFIs), and placed under external jurisdictions. The turn to governance tends also to framed, whether directly or directly, justifiably or otherwise, alongside cuts in the public provisioning of health, education, housing, and social expenditures wherever they may have taken place, a parallel proliferation of managerial controls, and to governments contracting out public services to private and quasi-private agencies, or relinquishing them to the voluntary sector. At the risk of oversimplifying its critics’ views, if modern governments describe rule by/of citizens, governance describes rule over subjects. This chapter maps a rather more fluid and differentiated landscape of governance across the five areas it surveys, i.e. finance, investment, trade, labor and environment. In finance, while regulation may appear to have become more transnational and to an extent even voluntary, deregulatory outcomes have reconfigured the nature of risk and the cognitive and policy frameworks for dealing with it. At the same time a growing risk of states having to foot the ultimate bill may still become a point of departure for more differentiated regulatory approaches. On the other hand, not only are environmental agreements continued to be implemented and enforced at national and sub-national scales, the ascendency of market interventions and transnational institutions here has taken place in parallel with—and sometimes through mutual cooptation of—other kinds of interventions including those for promoting decentralization and community control over resources. Trends in labor regulation may also reflect individual state choices more than direct transnational pressures, or run contrary to the preferences of specialized international organizations in the domain. Even in the controversial sphere of investment treaties, there is considerable ongoing fluidity with regard to norms, jurisdiction, and actors within and between national and international arenas. Thus, upon closer inspection and with the benefit of a more domain-specific approach, we may not necessarily observe a sweeping or uniform shift, but more a mosaic of regulatory frameworks, quite disparate trends with regard to their negotiation, implementation and impact, and a future rife with possibilities.