Xinzhi Zhang et al in Ethnicity and Disease: “Addressing minority health and health disparities has been a missing piece of the puzzle in Big Data science. This article focuses on three priority opportunities that Big Data science may offer to the reduction of health and health care disparities. One opportunity is to incorporate standardized information on demographic and social determinants in electronic health records in order to target ways to improve quality of care for the most disadvantaged populations over time. A second opportunity is to enhance public health surveillance by linking geographical variables and social determinants of health for geographically defined populations to clinical data and health outcomes. Third and most importantly, Big Data science may lead to a better understanding of the etiology of health disparities and understanding of minority health in order to guide intervention development. However, the promise of Big Data needs to be considered in light of significant challenges that threaten to widen health disparities. Care must be taken to incorporate diverse populations to realize the potential benefits. Specific recommendations include investing in data collection on small sample populations, building a diverse workforce pipeline for data science, actively seeking to reduce digital divides, developing novel ways to assure digital data privacy for small populations, and promoting widespread data sharing to benefit under-resourced minority-serving institutions and minority researchers. With deliberate efforts, Big Data presents a dramatic opportunity for reducing health disparities but without active engagement, it risks further widening them….(More)”
The rise of the algorithm need not be bad news for humans
Luciano Floridi at the Financial Times: “The science and technology committee of the House of Commons published the responses to its inquiry on “algorithms in decision-making” on April 26. They vary in length, detail and approach, but share one important feature — the belief that human intervention may be unavoidable, indeed welcome, when it comes to trusting algorithmic decisions….
In a society in which algorithms and other automated processes are increasingly apparent, the important question, addressed by the select committee, is the extent to which we can trust such brainless technologies, which are regularly taking decisions instead of us. Now that white-collar jobs are being replaced, we may all be at the mercy of algorithmic errors — an unfair attribution of responsibility, say, or some other Kafkaesque computer-generated disaster. The best protection against such misfires is to put human intelligence back into the equation.
Trust depends on delivery, transparency and accountability. You trust your doctor, for instance, if they do what they are supposed to do, if you can see what they are doing and if they take responsibility in the event of things go wrong. The same holds true for algorithms. We trust them when it is clear what they are designed to deliver, when it is transparent whether or not they are delivering it, and, finally, when someone is accountable — or at least morally responsible, if not legally liable — if things go wrong.
Only human intelligence can solve the AI challenge Societies have to devise frameworks for directing technologies for the common good This is where humans come in. First, to design the right sorts of algorithms and so to minimise risk. Second, since even the best algorithm can sometimes go wrong, or be fed the wrong data or in some other way misused, we need to ensure that not all decisions are left to brainless machines. Third, while some crucial decisions may indeed be too complex for any human to cope with, we should nevertheless oversee and manage such decision-making processes. And fourth, the fact that a decision is taken by an algorithm is not grounds for disregarding the insight and understanding that only humans can bring when things go awry.
In short, we need a system of design, control, transparency and accountability overseen by humans. And this need not mean spurning the help provided by digital technologies. After all, while a computer may play chess better than a human, a human in tandem with a computer is unbeatable….(More).
China is recruiting 20,000 people to write its own Wikipedia
Known as the “Chinese Encyclopedia,” the country’s national encyclopedia will go online for the first time in 2018, and the government has employed tens of thousands of scholars from universities and research institutes who will contribute articles in more than 100 disciplines. The end result will be a knowledge base with more than 300,000 entries, each of which will be about 1,000 words long.
“The Chinese Encyclopaedia is not a book, but a Great Wall of culture,” Yang Muzhi, the editor-in-chief of the project and the chairman of the Book and Periodicals Distribution Association of China, said. He added that China was under pressure from the international community to produce an encyclopedia that will “guide and lead the public and society.”
The need for an online reference encyclopedia is in part a result of the Chinese government blocking access to Wikipedia. Chinese internet companies like Baidu and Qihoo 360 operate their own online encyclopedias, but none are capable of matching Wikipedia in terms of scale and breadth of information.
The aim of the new version of the Chinese encyclopedia is to showcase China’s latest science and technology developments, promote historical heritage, increase cultural soft power, and strengthen the core values of socialism, according to Yang, who stressed that the goal isn’t to mimic Wikipedia: “We have the biggest, most high-quality author team in the world. Our goal is not to catch up, but overtake.”…(More)”
The NGO-Academia interface: obstacles to collaboration, lessons from systems thinking and suggested ways forward
Duncan Green at LSE Impact Blog: “The case for partnership between international non-governmental organisations (INGOs) and academia to advance development knowledge is strong. INGOs bring presence on the ground – through their own operations or long-term local partnerships – and communication and advocacy skills (not always academics’ strong point). Academia contributes research skills and credibility, and a long-term reflective perspective that the more frenetic forms of operational work and activism often lack.
In practice, however, such partnerships have proven remarkably difficult, partly because INGOs and academia are too complementary – there is so little overlap between their respective worlds that it is often difficult to find ways to work together.
Obstacles to collaboration
- Impact vs publication:…
- Urgency vs “wait and see”: …
- Status quo vs originality: …
- Thinking vs talking: ….
Systems thinking approaches
Some of the problems that arise in the academic–INGO interface stem from overly linear approaches to what is, in effect, an ideas and knowledge ecosystem. In such contexts, systems thinking can help identify bottlenecks and suggest possible ways forward.
Getting beyond supply and demand to convening and brokering
Supply-driven is the norm in development research – “experts” churning out policy papers, briefings, books, blogs, etc. Being truly demand-driven is hard even to imagine – an NGO or university department submitting themselves to a public poll on what should be researched? But increasingly in areas such as governance or value chains, we try and move beyond both supply and demand to a convening/brokering role, bringing together different “unusual suspects”. What would that look like in research? Action research, with an agenda that emerges from an interaction between communities and researchers? Natural science seems further ahead on this point: when the Dutch National Research Agenda ran a nationwide citizen survey of research questions they wanted science to look at, 12,000 questions were submitted and clustered into 140 questions, under seven or eight themes. To the organisers’ surprise, many citizens asked quite deep questions.
Most studies identify a need for “knowledge brokers” not only to bridge the gap between the realms of science and policy, but also to synthesise and transform evidence into an effective and usable form for policy and practice. An essential feature of knowledge brokers is that they understand the cultures of both worlds. Often, this role is performed by third-sector organisations of various types (from lobbyists to thinktanks to respected research funders). Some academics can transcend this divide. A few universities employ specialist knowledge brokers but their long-term effectiveness is often constrained by low status, insecure contracts and lack of career pathways. Whoever plays this crucial intermediary role, it appears that it is currently under-resourced within and beyond the university system. In the development sector, the nearest thing to an embedded gateway is the Governance and Social Development Resource Centre (GSDRC), run by Birmingham University and the IDS and largely funded by the Department for International Development. It conducts literature and evidence reviews on a range of topics, drawing evidence from both academic literature and non-academic institutions….
Ways forward
Based on all of the above, a number of ideas emerge for consideration by academics, INGOs and funders of research.
Suggestions for academics
Comments on previous blog posts provided a wealth of practical advice to academics on how to work more productively with INGOs. These include the following:
- Create research ideas and proposals collaboratively. This means talking to each other early on, rather than academics looking for NGOs to help their dissemination, or NGOs commissioning academics to undertake policy-based evidence making.
- Don’t just criticise and point to gaps – understand the reasons for them (gaps in both NGO programmes and their research capacity) and propose solutions. Work to recognise practitioners’ strengths and knowledge.
- Make research relevant to real people in communities. This means proper discussions and dialogue at design, research and analysis stages, disseminated drafts and discussing findings locally on publication.
- Set up reflection spaces in universities where NGO practitioners can go to take time out and be supported to reflect on and write up their experiences, network with others, and gain new insights on their work.
- Catalyse more exchange of personnel in both directions. Universities could replicate my own Professor in Practice position at the London School of Economics and Political Science, while INGOs could appoint honorary fellows, who could help guide their thinking in return for access to their work….(More)”.
Using a New Roadmap to Democratize Climate Change
Anne Glusker at Smithsonian: “…Grimsson’s group felt that due to changes in information technology and social transformations, the large organizations and structures that used to be necessary to effect change were now not needed. And thus was born Roadmap, a new crowdsourcing tool for anyone and everyone interested in climate action. Still in its very early stages, Roadmap’s founders envision it as a platform for those working on climate issues—from scientist and policymaker to farmer and fisherman—to facilitate the sharing of knowledge and ideas, methods and techniques.
“A new political model is possible—where everyone can be a doer, where you no longer need big government or big enterprises to bring about success,” Grimsson says.
This new model for social change that skips the usual cumbersome channels and processes has been seen everywhere from public health, where the Bill & Melinda Gates Foundation has redefined the sector, to the hospitality industry, which is working to combat the human trafficking that plagues its businesses, to perhaps most famously the Arab Spring, where the role of social media in bringing about political change is still being debated today.
And this new model is complemented by technological changes. “The innovation in energy technology is such that we no longer have to wait for the big energy breakthrough,” Grimsson says. “We already have the available technologies. Every individual, home, village, community, town and region can execute change. The good news from the climate point of view is that, in addition to the information technology revolution, there has now also taken place an energy revolution. A house can be a power station: If the people who live in that house have extra energy, they can sell their energy through the smart grid. The notion that every house can be a power station is as revolutionary as saying that every mobile phone can be a media company.”
Grimsson admits that it may seem odd for someone in his position to be advocating that ordinary citizens take action apart from the conventional corridors of governmental power.
“For me to say that these traditional political organizations and positions are somewhat outdated is perhaps a strange statement: I was a professor of political science, I’ve been a member of parliament, I’ve been a minister of finance, I was president for 20 years,” he says.
It was during Iceland’s financial meltdown that he first experienced this new kind of social change: “I saw this very strongly through the financial crisis in my own country, which led to a big social economic uprising. All those activities were engineered by unknown people, people who were not part of a big organization, who used Facebook and the information media to bring thousands of people together in one day.”
Right now, Roadmap consists of a website and a lofty manifesto that speaks of raising the value of “moral currency” and creating a “best practices warehouse.” Visitors to the site can fill out a form if they want to become part of its community of “doers.” The practical part of the manifesto speaks of identifying the best methodologies and models; implementing a “real-time system of measurement” and a way to “gauge and understand what is working, what is not, and exactly what is being achieved.” As the platform develops, it will be interesting to see exactly what form these gauges, measurement systems, and warehouses take….(More)”.
Creating Safer Streets Through Data Science
Datakind: “Tens of thousands of people are killed or injured in traffic collisions each year. To improve road safety and combat life-threatening crashes, over 25 U.S. cities have adopted Vision Zero, an initiative born in Sweden in the 1990’s that aims to reduce traffic-related deaths and serious injuries to zero. Vision Zero is built upon the belief that crashes are predictable and preventable, though determining what kind of engineering, enforcement and educational interventions are effective can be difficult and costly for cities with limited resources.
To help the cities answer these questions, DataKind launched its first ever Labs project, led by DataKind data scientists Erin Akred, Michael Dowd, Jackie Weiser and Sina Kashuk. A DataDive was held in Seattle to help support the project. Dozens of volunteers participated in the event and helped fuel the work that was achieved, including volunteers from Microsoft and the University of Washington’s E-Science Institute, as well as many other Seattle data scientists.
The DataKind team also worked closely with local city officials and transportation experts to gain valuable insight and feedback on the project, and access a wide variety of datasets, such as information on past crashes, roadway attributes (e.g. lanes, traffic signals, and sidewalks), land use, demographic data, commuting patterns, parking violations, and existing safety intervention placements.
The cities provided information about their priority issues, expertise on their local environments, access to their data, and feedback on the models and analytic insights. Microsoft enabled the overall collaboration by providing resources, including expertise in support of the collaborative model, technical approaches, and project goals.
Below are detailed descriptions of the specific local traffic safety questions each city asked, the data science approach and outputs the DataKind team developed, and the outcomes and impacts these analyses are providing each city….(More)”
Estimating suicide occurrence statistics using Google Trends
Ladislav Kristoufek, Helen Susannah Moat and Tobias Preis in EPJ Data Science: “Data on the number of people who have committed suicide tends to be reported with a substantial time lag of around two years. We examine whether online activity measured by Google searches can help us improve estimates of the number of suicide occurrences in England before official figures are released. Specifically, we analyse how data on the number of Google searches for the terms ‘depression’ and ‘suicide’ relate to the number of suicides between 2004 and 2013. We find that estimates drawing on Google data are significantly better than estimates using previous suicide data alone. We show that a greater number of searches for the term ‘depression’ is related to fewer suicides, whereas a greater number of searches for the term ‘suicide’ is related to more suicides. Data on suicide related search behaviour can be used to improve current estimates of the number of suicide occurrences….(More)”
Selected Readings on Blockchain Technology and Its Potential for Transforming Governance
By Prianka Srinivasan, Robert Montano, Andrew Young, and Stefaan G. Verhulst
The Living Library’s Selected Readings series seeks to build a knowledge base on innovative approaches for improving the effectiveness and legitimacy of governance. This curated and annotated collection of recommended works on the topic of blockchain and governance was originally published in 2017.
Introduction
In 2008, an unknown source calling itself Satoshi Nakamoto released a paper named Bitcoin: A Peer-to-Peer Electronic Cash System which introduced blockchain technology. Blockchain is a novel system that uses a distributed ledger to record transactions and ensure compliance. Blockchain technology relies on an ability to act as a vast, transparent, and secure public database.
It has since gained recognition as a tool to transform governance by creating a decentralized system to
- manage and protect identity,
- trace and track; and
- incentivize smarter social and business contracts.
These applications cast blockchain as a tool to confront certain public problems in the digital age.
The readings below represent selected readings on the applications for governance. They have been categorized by theme – Governance Applications, Identity Protection and Management, Tracing and Tracking, and Smart Contracts.
Selected Reading List
Governance Applications
- Atzori, Marcella – The Center for Blockchain Technologies (2015) Blockchain Technology and Decentralized Governance: Is the State Still Necessary? – Aims to investigate the political applications of blockchain, particularly in encouraging government decentralization by considering to what extent blockchain can be viewed as “hyper-political tools.” The paper suggests that the domination of private bodies in blockchain systems highlights the continued need for the State to remain as a central point of coordination.
- Boucher, Philip. – European Parliamentary Research Service (2017) How blockchain technology could change our lives – This report commissioned by the European Parliamentary Research Service provides a deep introduction to blockchain theory and its applications to society and political systems, providing 2 page briefings on currencies, digital content, patents, e-voting, smart contracts, supply chains, and blockchain states.
- Boucher, Philip. – Euroscientist (2017) Are Blockchain Applications Guided by Social Values? – This report by a policy analyst at the European Parliament’s Scientific foresight unit, evaluates the social and moral contours of blockchain technology, arguing that “all technologies have value and politics,” and blockchain is no exception. Calls for greater scrutiny on the possibility for blockchain to act as a truly distributed and transparent system without a “middleman.”
- Cheng, Steve; Daub, Matthew; Domeyer, Axel; and Lundqvist, Martin –McKinsey & Company (2017) Using Blockchain to Improve Data Management in the Public Sector–This essay considers the potential uses of blockchain technology for the public sector to improve the security of sensitive information collected by governments and as a way to simplify communication with specialists.
- De Filippi, Primavera; and Wright, Aaron –Paris University & Cordoza School of Law (2015) Decentralized Blockchain Technology and the Rise of Lex Cryptographia – Looks at how to regulate blockchain technology, particularly given its implications on governance and society. Argues that a new legal framework needs to emerge to take into account the applications of self-executing blockchain technology.
- Liebenau, Jonathan and Elaluf-Calderwood, Silvia Monica. – London School of Economics & Florida International University (2016) Blockchain Innovation Beyond Bitcoin and Banking. – A paper that explores the potential of blockchain technology in financial services and in broader digital applications, considers regulatory possibility and frameworks, and highlights the innovative potential of blockchain.
- Prpić, John – Lulea University of Technology (2017) Unpacking Blockchains – This short paper provides a brief introduction to the use of Blockchain outside monetary purposes, breaking down its function as a digital ledger and transaction platform.
- Stark, Josh – Ledger Labs (2016) Making Sense of Blockchain Governance Applications –This CoinDesk article discusses, in simple terms, how blockchain technology can be used to accomplish what is called “the three basic functions of governance.”
- UK Government Chief Scientific Adviser (2016) Distributed Ledger Technology: Beyond Blockchain – A report from the UK Government that investigates the use of blockchain’s “distributed leger” as a database for governments and other institutions to adopt.
Identity Protection and Management
- Baars, D.S. – University of Twente (2016) Towards Self-Sovereign Identity Using Blockchain Technology. – A study exploring self-sovereign identity – i.e. the ability of users to control their own digital identity – that led to the creation of a new architecture designed for users to manage their digital ID. Called the Decentralized Identity Management System, it is built on blockchain technology and is based on the concept of claim-based identity.
- Burger, Eric and Sullivan, Clare Linda. – Georgetown University (2016) E-Residency and Blockchain. – A case study focused on an Estonian commercial initiative that allows for citizens of any nation to become an “Estonian E-Resident.” This paper explores the legal, policy, and technical implications of the program and considers its impact on the way identity information is controlled and authenticated.
- Nathan, Oz; Pentland, Alex ‘Sandy’; and Zyskind, Guy – Security and Privacy Workshops (2015) Decentralizing Privacy: Using Blockchain to Protect Personal Data – Describes the potential of blockchain technology to create a decentralized personal data management system, making third-party personal data collection redundant.
- De Filippi, Primavera – Paris University (2016) The Interplay Between Decentralization and Privacy: The Case of Blockchain Technologies – A journal entry that weighs the radical transparency of blockchain technology against privacy concerns for its users, finding that the apparent dichotomy is not as at conflict with itself as it may first appear.
Tracing and Tracking
- Barnes, Andrew; Brake, Christopher; and Perry, Thomas – Plymouth University (2016) Digital Voting with the use of Blockchain Technology – A report investigating the potential of blockchain technology to overcome issues surrounding digital voting, from voter fraud, data security and defense against cyber attacks. Proposes a blockchain voting system that can safely and robustly manage these challenges for digital voting.
- The Economist (2015), “Blockchains The Great Chain of Being Sure About Things.” – An exploratory article that explores the potential usefulness of a blockchain-based land registry in places like Honduras and Greece, transaction registries for trading stock, and the creation of smart contracts.
- Lin, Wendy; McDonnell, Colin; and Yuan, Ben – Massachusetts Institute of Technology (2015) Blockchains and electronic health records. – Suggests the “durable transaction ledger” fundamental to blockchain has wide applicability in electronic medical record management. Also, evaluates some of the practical shortcomings in implementing the system across the US health industry.
Smart Contracts
- Iansiti, Marco; and Lakhani, Karim R. – Harvard Business Review (2017) The Truth about Blockchain – A Harvard Business Review article exploring how blockchain technology can create secure and transparent digital contracts, and what effect this may have on the economy and businesses.
- Levy, Karen E.C. – Engaging Science, Technology, and Society (2017) Book-Smart, Not Street-Smart: Blockchain-Based Smart Contracts and The Social Workings of Law. – Article exploring the concept of blockchain-based “smart contracts” – contracts that securely automate and execute obligations without a centralized authority – and discusses the tension between law, social norms, and contracts with an eye toward social equality and fairness.
Annotated Selected Reading List
Cheng, Steve, Matthias Daub, Axel Domeyer, and Martin Lundqvist. “Using blockchain to improve data management in the public sector.” McKinsey & Company. Web. 03 Apr. 2017. http://bit.ly/2nWgomw
- An essay arguing that blockchain is useful outside of financial institutions for government agencies, particularly those that store sensitive information such as birth and death dates or information about marital status, business licensing, property transfers, and criminal activity.
- Blockchain technology would maintain the security of such sensitive information while also making it easier for agencies to use and access critical public-sector information.
- Despite its potential, a significant drawback for use by government agencies is the speed with which blockchain has developed – there are no accepted standards for blockchain technologies or the networks that operate them; and because many providers are start-ups, agencies might struggle to find partners that will have lasting power. Additionally, government agencies will have to remain vigilant to ensure the security of data.
- Although best practices will take some time to develop, this piece argues that the time is now for experimentation – and that governments would be wise to include blockchain in their strategies to learn what methods work best and uncover how to best unlock the potential of blockchain.
“The Great Chain of Being Sure About Things.” The Economist. The Economist Newspaper, 31 Oct. 2015. Web. 03 Apr. 2017. http://econ.st/1M3kLnr
- This is an exploratory article written in The Economist that examines the various potential uses of blockchain technology beyond its initial focus on bitcoin:
-
- It highlights the potential of blockchain-based land registries as a way to curb human rights abuses and insecurity in much of the world (it specifically cites examples in Greece and Honduras);
- It also highlights the relative security of blockchain while noting its openness;
- It is useful as a primer for how blockchain functions as tool for a non-specialist;
- Discusses “smart contracts” (about which we have linked more research above);
- Analyzes potential risks;
- And considers the potential future unlocked by blockchain
- This article is particularly useful as a primer into the various capabilities and potential of blockchain for interested researchers who may not have a detailed knowledge of the technology or for those seeking for an introduction.
Iansiti, Marco and Lakhani, Karim R. “The Truth About Blockchain.” Harvard Business Review. N.p., 17 Feb. 2017. Web. 06 Apr. 2017. http://bit.ly/2hqo3FU
- This entry into the Harvard Business Review discusses blockchain’s ability to solve the gap between emerging technological progress and the outdated ways in which bureaucracies handle and record contracts and transactions.
- Blockchain, the authors argue, allows us to imagine a world in which “contracts are embedded in digital code and stored in transparent, shared databases, where they are protected from deletion, tampering, and revision”, allowing for the removal of intermediaries and facilitating direct interactions between individuals and institutions.
- The authors compare the emergence of blockchain to other technologies that have had transformative power, such as TCP/IP, and consider the speed with which they have proliferated and become mainstream.
- They argue that like TCP/IP, blockchain is likely decades away from maximizing its potential and offer frameworks for the adoption of the technology involving both single-use, localization, substitution, and transformation.
- Using these frameworks and comparisons, the authors present an investment strategy for those interested in blockchain.
IBM Global Business Services Public Sector Team. “Blockchain: The Chain of Trust and its Potential to Transform Healthcare – Our Point of View.” IBM. 2016. http://bit.ly/2oBJDLw
- This enthusiastic business report from IBM suggests that blockchain technology can be adopted by the healthcare industry to “solve” challenges healthcare professionals face. This is primarily achieved by blockchain’s ability to streamline transactions by establishing trust, accountability, and transparency.
- Structured around so-called “pain-points” in the healthcare industry, and how blockchain can confront them, the paper looks at 3 concepts and their application in the healthcare industry:
- Bit-string cryptography: Improves privacy and security concerns in healthcare, by supporting data encryption and enforces complex data permission systems. This allows healthcare professionals to share data without risking the privacy of patients. It also streamlines data management systems, saving money and improving efficiency.
- Transaction Validity: This feature promotes the use of electronic prescriptions by allowing transactional trust and authenticated data exchange. Abuse is reduced, and abusers are more easily identified.
- Smart contracts: This streamlines the procurement and contracting qualms in healthcare by reducing intermediaries. Creates a more efficient and transparent healthcare system.
- The paper goes on to signal the limitations of blockchain in certain use cases (particularly in low-value, high-volume transactions) but highlights 3 use cases where blockchain can help address a business problem in the healthcare industry.
- Important to keep in mind that, since this paper is geared toward business applications of blockchain through the lens of IBM’s investments, the problems are drafted as business/transactional problems, where blockchain primarily improves efficiency than supporting patient outcomes.
Nathan, Oz; Pentland, Alex ‘Sandy’; and Zyskind, Guy “Decentralizing Privacy: Using Blockchain to Protect Personal Data” Security and Privacy Workshops (SPW). 2015. http://bit.ly/2nPo4r6
- This technical paper suggests that anonymization and centralized systems can never provide complete security for personal data, and only blockchain technology, by creating a decentralized data management system, can overcome these privacy issues.
- The authors identify 3 common privacy concerns that blockchain technology can address:
- Data ownership: users want to own and control their personal data, and data management systems must acknowledge this.
- Data transparency and auditability: users want to know what data is been collected and for what purpose.
- Fine-grained access control: users want to be able to easily update and adapt their permission settings to control how and when third-party organizations access their data.
- The authors propose their own system designed for mobile phones which integrates blockchain technology to store data in a reliable way. The entire system uses blockchain to store data, verify users through a digital signature when they want to access data, and creates a user interface that individuals can access to view their personal data.
- Though much of the body of this paper includes technical details on the setup of this blockchain data management system, it provides a strong case for how blockchain technology can be practically implemented to assuage privacy concerns among the public. The authors highlight that by using blockchain “laws and regulations could be programmed into the blockchain itself, so that they are enforced automatically.” They ultimately conclude that using blockchain in such a data protection system such as the one they propose is easier, safer, and more accountable.
Wright, Aaron, and Primavera De Filippi. “Decentralized blockchain technology and the rise of lex cryptographia.” 2015. Available at SSRN . http://bit.ly/2oujvoG
- This paper proposes that the emergence of blockchain technology, and its various applications (decentralized currencies, self-executing contracts, smart property etc.), will necessitate the creation of a new subset of laws, termed by the authors as “Lex Cryptographia.”
- Considering the ability for blockchain to “cut out the middleman” there exist concrete challenges to law enforcement faced by the coming digital revolution brought by the technology. These encompass the very benefits of blockchain; for instance, the authors posit that the decentralized, autonomous nature of blockchain systems can act much like “a biological virus or an uncontrollable force of nature” if the system was ill-intentioned. Though this same system can regulate the problems of corruption and hierarchy associated with traditional, centralized systems, their autonomy poses an obvious obstacle for law-enforcement.
- The paper goes on to details all the possible benefits and societal impacts of various applications of blockchain, finally suggesting there exists a need to “rethink” traditional models of regulating society and individuals. They predict a rise in Lex Cryptographia “characterized by a set of rules administered through self-executing smart contracts and decentralized (and potentially autonomous) organizations.” Much of these regulations depend upon the need to supervise restrictions placed upon blockchain technology that may chill its application, for instance corporations who may choose to purposefully avoid including any blockchain-based applications in their search engines so as to stymie the adoption of this technology.
Decentralized Self-Organizing Systems
Fred Wilson at AVC: “Mankind has been inventing new ways to organize and govern since we showed up on planet earth. Our history is a gradual evolution of these organization and governance systems. Much of what we are using right now was invented in ancient Greece and perfected in western Europe in the 17th, 18th, and 19th centuries.
I have been thinking for some time that we are on the cusp of something new. I don’t know exactly what it will be but I think it will be inspired by the big technological innovations of the late 20th century and early 21st century and it will be based on decentralized and self-organizing systems.
The Internet is, at its core, a scaled decentralized system. Its design has been a resounding success. It has scaled elegantly and gradually to well over 2bn users over fifty years. No central entity controls the Internet and it upgrades itself and scales itself slowly over time.
Open source software development communities are also an important development of the past fifty years. These communities come together to create and maintain new software systems and are not financed or governed by traditional corporate models. The goals of these communities are largely based on delivering new capabilities to the market and they don’t have capitalist based incentive systems and they have shown that in many instances they work better than traditional corporate models, Linux being the best example.
And, for the past decade or so, we have seen that modern cryptography and some important computer science innovations have led to decentralized blockchain systems, most notably Bitcoin and Ethereum. But there are many more to study and learn from. These blockchain systems are pushing forward our understanding of economic models, governance models, and security models.
I think it is high time that political scientists, philosophers, economists, and historians turn their attention to these new self-organizing and self-governing systems….(More)”.
Openness as social praxis
Matthew Longshore Smith and Ruhiya Seward in First Monday: “Since the early 2000s, there has been an explosion in the usage of the term open, arguably stemming from the advent of networked technologies — including the Internet and mobile technologies. ‘Openness’ seems to be everywhere, and takes many forms: from open knowledge, open education, open data and open science, to open Internet, open medical records systems and open innovation. These applications of openness are having a profound, and sometimes transformative, effect on social, political and economic life.
This explosion of the use of the term has led to multiple interpretations, ambiguities, and even misunderstandings, not to mention countless debates and disagreements over precise definitions. The paper “Fifty shades of open” by Pomerantz and Peek (2016) highlighted the increasing ambiguity and even confusion surrounding this term. This article builds on Pomerantz and Peek’s attempt to disambiguate the term by offering an alternative understanding to openness — that of social praxis. More specifically, our framing can be broken down into three social processes: open production, open distribution, and open consumption. Each process shares two traits that make them open: you don’t have to pay (free price), and anyone can participate (non-discrimination) in these processes.
We argue that conceptualizing openness as social praxis offers several benefits. First, it provides a way out of a variety of problems that result from ambiguities and misunderstandings that emerge from the current multitude of uses of openness. Second, it provides a contextually sensitive understanding of openness that allows space for the many different ways openness is experienced — often very different from the way that more formal definitions conceptualize it. Third, it points us towards an approach to developing practice-specific theory that we believe helps us build generalizable knowledge on what works (or not), for whom, and in what contexts….(More)”.