Paper by Emma Ruijer in the International Review of Administrative Sciences: “During recent years, the amount of data released on platforms by public administrations around the world have exploded. Open government data platforms are aimed at enhancing transparency and participation. Even though the promises of these platforms are high, their full potential has not yet been reached. Scholars have identified technical and quality barriers of open data usage. Although useful, these issues fail to acknowledge that the meaning of open data also depends on the context and people involved. In this study we analyze open data usage from a practice lens – as a social construction that emerges over time in interaction with governments and users in a specific context – to enhance our understanding of the role of context and agency in the development of open data platforms. This study is based on innovative action-based research in which civil servants’ and citizens’ initiatives collaborate to find solutions for public problems using an open data platform. It provides an insider perspective of Open Data Work. The findings show that an absence of a shared cognitive framework for understanding open data and a lack of high-quality datasets can prevent processes of collaborative learning. Our contextual approach stresses the need for open data practices that work on the basis of rich interactions with users rather than government-centric implementations….(More)”.
Smarter Crowdsourcing for Anti-Corruption: A Handbook of Innovative Legal, Technical, and Policy Proposals and a Guide to their Implementation
Paper by Noveck, Beth Simone; Koga, Kaitlin; Aceves Garcia, Rafael; Deleanu, Hannah; Cantú-Pedraza, Dinorah: “Corruption presents a fundamental threat to the stability and prosperity of Mexico and combating it demands approaches that are both principled and practical. In 2017, the Inter-American Development Bank (IDB) approved project ME-T1351 to support Mexico in its fight against corruption using Open Innovation. Thus, the IDB partnered with the Governance Lab at NYU to support Mexico’s Secretariat of Public Service (Secretaría de la Función Pública) to identify innovative ideas and then turns them into practical implementation plans for the measurement, detection, and prevention of corruption in Mexico using the GovLab’s open innovation methodology named Smarter Crowdsourcing.
The purpose of Smarter Crowdsourcing was to identify concrete solutions that include the use of data analysis and technology to tackle corruption in the public sector. This document contains 13 implementation plans laying out practical ways to address corruption. The plans emerged from “Smarter Crowdsourcing Anti-Corruption,” a method that is an agile process, which begins with robust problem definition followed by online sourcing of global expertise to surface innovative solutions. Smarter Crowdsourcing Anti-Corruption focused on six specific challenges: (i) measuring corruption and its costs, (ii) strengthening integrity in the judiciary, (iii) engaging the public in anti-corruption efforts, (iv) whistleblowing, (v) effective prosecution, and (vi) tracking and analyzing money flows…(More)”.
Using Blockchain Technology to Create Positive Social Impact
Randall Minas in Healthcare Informatics: “…Healthcare is yet another area where blockchain can make a substantial impact. Blockchain technology could be used to enable the WHO and CDC to better monitor disease outbreaks over time by creating distributed “ledgers” that are both secure and updated hundreds of times per day. Issued in near real-time, these updates would alert healthcare professionals to spikes in local cases almost immediately. Additionally, using blockchain would allow accurate diagnosis and streamline the isolation of clusters of cases as quickly as possible. Providing blocks of real-time disease information—especially in urban areas—would be invaluable.
In the United States, disease updates are provided in a Morbidity and Mortality Weekly Report (MMWR) from the CDC. This weekly report provides tables of current disease trends for hospitals and public health officials. Another disease reporting mechanism is the National Outbreak Reporting System (NORS), launched in 2009. NORS’ web-based tool provides outbreak data through 2016 and is accessible to the general public. There are two current weaknesses in the NORS reporting system and both can be addressed by blockchain technology.
The first issue lies in the number of steps required to accurately report each outbreak. A health department reports an outbreak to the NORS system, the CDC checks it for accuracy, analyzes the data, then provides a summary via the MMRW. Instantiating blockchain as the technology through which the NORS data is reported, every health department in the country could have preliminary data on disease trends at their fingertips without having to wait for the next MMRW publication.
The second issue is the inherent cybersecurity vulnerabilities using a web-based platform to monitor disease reporting. As we have seen with cyberattacks both domestic and abroad, cybersecurity vulnerabilities underlie most of our modern-day computing infrastructure. Blockchain was designed to be secure because it is decentralized across many computer networks and, since it was designed as a digital ledger, the previous data (or “blocks”) in the blockchain are difficult to alter.
While the NORS platform could be hacked with malware to gain access to our electricity and water infrastructure, instituting blockchain technology would limit the potential damage of the malware based on the inherent security of the technology. If this does not sound important, imagine the damage and ensuing panic that could be caused by a compromised NORS reporting a widespread Ebola outbreak.
The use of blockchain in monitoring epidemic outbreaks might not only apply to fast-spreading outbreaks like the flu, but also to epidemics that have lasted for decades. Since blockchain allows an unchangeable snapshot of data over time and can be anonymous, partner organizations could provide HIV test results to an individual’s “digital ledger” with a date of the test and the results.
Individuals could then exchange their HIV status securely, in an application, before engaging in high-risk behaviors. Since many municipalities provide free or low-cost, anonymous HIV testing, the use of blockchain would allow disease monitoring and exchange of status in a secure and trusted manner. The LGBTQ community and other high-risk communities could use an application to securely exchange HIV status with potential partners. With widespread adoption of this status-exchange system, an individual’s high-risk exposure could be limited, further reducing the spread of the epidemic.
While much of the creative application around blockchain has focused on supply chain-like models, including distribution of renewable energy and local sourcing of goods, it is important also to think innovatively about how blockchain can be used outside of supply chain and accounting.
In healthcare, blockchain has been discussed frequently in relation to electronic health records (EHRs), yet even that could be underappreciating the technology’s potential. Leaders in the blockchain arena should invest in application development for epidemic monitoring and disease control using blockchain technology. …(More)”.
International Data Flows and Privacy: The Conflict and its Resolution
World Bank Policy Research Working Paper by Aaditya Mattoo and Joshua P Meltzer: “The free flow of data across borders underpins today’s globalized economy. But the flow of personal dataoutside the jurisdiction of national regulators also raises concerns about the protection of privacy. Addressing these legitimate concerns without undermining international integration is a challenge. This paper describes and assesses three types of responses to this challenge: unilateral development of national or regional regulation, such as the European Union’s Data Protection Directive and forthcoming General Data Protection Regulation; international negotiation of trade disciplines, most recently in the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP); and international cooperation involving regulators, most significantly in the EU-U.S. Privacy Shield Agreement.
The paper argues that unilateral restrictions on data flows are costly and can hurt exports, especially of data-processing and other data-based services; international trade rules that limit only the importers’ freedom to regulate cannot address the challenge posed by privacy; and regulatory cooperation that aims at harmonization and mutual recognition is not likely to succeed, given the desirable divergence in national privacy regulation. The way forward is to design trade rules (as the CPTPP seeks to do) that reflect the bargain central to successful international cooperation (as in the EU-US Privacy Shield): regulators in data destination countries would assume legal obligations to protect the privacy of foreign citizens in return for obligations on data source countries not to restrict the flow of data. Existing multilateral rules can help ensure that any such arrangements do not discriminate against and are open to participation by other countries….(More)”.
The promise and peril of military applications of artificial intelligence
Michael C. Horowitz at the Bulletin of the Atomic Scientists: “Artificial intelligence (AI) is having a moment in the national security space. While the public may still equate the notion of artificial intelligence in the military context with the humanoid robots of the Terminatorfranchise, there has been a significant growth in discussions about the national security consequences of artificial intelligence. These discussions span academia, business, and governments, from Oxford philosopher Nick Bostrom’s concern about the existential risk to humanity posed by artificial intelligence to Tesla founder Elon Musk’s concern that artificial intelligence could trigger World War III to Vladimir Putin’s statement that leadership in AI will be essential to global power in the 21st century.
What does this really mean, especially when you move beyond the rhetoric of revolutionary change and think about the real world consequences of potential applications of artificial intelligence to militaries? Artificial intelligence is not a weapon. Instead, artificial intelligence, from a military perspective, is an enabler, much like electricity and the combustion engine. Thus, the effect of artificial intelligence on military power and international conflict will depend on particular applications of AI for militaries and policymakers. What follows are key issues for thinking about the military consequences of artificial intelligence, including principles for evaluating what artificial intelligence “is” and how it compares to technological changes in the past, what militaries might use artificial intelligence for, potential limitations to the use of artificial intelligence, and then the impact of AI military applications for international politics.
The potential promise of AI—including its ability to improve the speed and accuracy of everything from logistics to battlefield planning and to help improve human decision-making—is driving militaries around the world to accelerate their research into and development of AI applications. For the US military, AI offers a new avenue to sustain its military superiority while potentially reducing costs and risk to US soldiers. For others, especially Russia and China, AI offers something potentially even more valuable—the ability to disrupt US military superiority. National competition in AI leadership is as much or more an issue of economic competition and leadership than anything else, but the potential military impact is also clear. There is significant uncertainty about the pace and trajectory of artificial intelligence research, which means it is always possible that the promise of AI will turn into more hype than reality. Moreover, safety and reliability concerns could limit the ways that militaries choose to employ AI…(More)”,
Navigation by Judgment: Why and When Top Down Management of Foreign Aid Doesn’t Work
In Navigation by Judgment, Dan Honig argues that high-quality implementation of foreign aid programs often requires contextual information that cannot be seen by those in distant headquarters. Tight controls and a focus on reaching pre-set measurable targets often prevent front-line workers from using skill, local knowledge, and creativity to solve problems in ways that maximize the impact of foreign aid. Drawing on a novel database of over 14,000 discrete development projects across nine aid agencies and eight paired case studies of development projects, Honig concludes that aid agencies will often benefit from giving field agents the authority to use their own judgments to guide aid delivery. This “navigation by judgment” is particularly valuable when environments are unpredictable and when accomplishing an aid program’s goals is hard to accurately measure.
Highlighting a crucial obstacle for effective global aid, Navigation by Judgment shows that the management of aid projects matters for aid effectiveness….(More)”.
If, When and How Blockchain Technologies Can Provide Civic Change
By Stefaan G. Verhulst and Andrew Young
The hype surrounding the potential of blockchain technologies– the distributed ledger technology (DLT) undergirding cryptocurrencies like Bitcoin – to transform the way industries and sectors operate and exchange records is reaching a fever pitch.
Source: Top Trends in the Gartner Hype Cycle for Emerging Technologies, 2017
Governments and civil society have now also joined the quest and are actively exploring the potential of DLTs to create transformative social change. Experiments are underway to leverage blockchain technologies to address major societal challenges – from homelessness in New York City to the Rohyingya crisis in Myanmar to government corruption around the world. At the same time, a growing backlash to the newest ‘shiny object’ in the technology for good space is gaining ground.
At this year’s The Impacts of Civic Technology Conference (TICTeC), organized by mySociety in Lisbon, the GovLab’s Stefaan Verhulst and Andrew Young joined the Engine Room’s Nicole Anand, the Natural Resource Governance Institute’s Anders Pedersen, and ITS-Rio’s Marco Konopacki to consider whether or not Blockchain can truly deliver on its promise for creating civic change.
For the GovLab’s contribution to the panel, we shared early findings from our Blockchange: Blockchain for Social Change initiative. Blockchange, funded by the Rockefeller Foundation, seeks to develop a deeper understanding of the promise and practice of DLTs tin addressing public problems – with a particular focus on the lack, the role and the establishment of trusted identities – through a set of detailed case-studies. Such insights may help us develop operational guidelines on when blockchain technology may be appropriate and what design principles should guide the future use of DLTs for good.
Our presentation covered four key areas (Full presentation here):
- The evolving package of attributes present in Blockchain technologies: on-going experimentation, development and investment has lead to the realization that there is no one blockchain technology. Rather there are several variations of attributes that provide for different technological scenarios. Some of these attributes remain foundational -– such as immutability, (guaranteed) integrity, and distributed resilience – while others have evolved as optional including disintermediation, transparency, and accessibility. By focusing on the attributes we can transcend the noise that is emerging from having too many well funded start-ups that seek to pitch their package of attributes as the solution;
- The three varieties of Blockchain for social change use cases: Most of the pilots and use cases where DLTs are being used to improve society and people’s lives can be categorized along three varieties of applications:
- Track and Trace applications. For instance:
- Versiart creates verifiable, digital certificates for art and collectibles which helps buyers ensure each piece’s provenance.
- Grassroots Cooperative along with Heifer USA created a blockchain-powered app that allows every package of chicken marketed and sold by Grassroots to be traced on the Ethereum blockchain.
- Everledger works with stakeholders across the diamond supply chain to track diamonds from mine to store.
- Ripe is working with Sweetgreen to use blockchain and IoT sensors to track crop growth, yielding higher-quality produce and providing better information for farmers, food distributors, restaurants, and consumers.
- Smart Contracting applications. For instance:
- In Indonesia, Carbon Conservation and Dappbase have created smart contracts that will distribute rewards to villages that can prove the successful reduction of incidences of forest fires.
- Alice has built Ethereum-based smart contracts for a donation project that supports 15 homeless people in London. The smart contracts ensure donations are released only when pre-determined project goals are met.
- Bext360 utilizes smart contracts to pay coffee farmers fairly and immediately based on a price determined through weighing and analyzing beans by the Bext360 machine at the source.
- Identity applications. For instance:
- The State of Illinois is working with Evernym to digitize birth certificates, thus giving individuals a digital identity from birth.
- BanQu creates an economic passport for previously unbanked populations by using blockchain to record economic and financial transactions, purchase goods, and prove their existence in global supply chains.
- In 2015, AID:Tech piloted a project working with Syrian refugees in Lebanon to distribute over 500 donor aid cards that were tied to non-forgeable identities.
- uPort provides digital identities for residents of Zug, Switzerland to use for governmental services.
- The promise of trusted Identity: the potential to establish a trusted identity turns out to be foundational for using blockchain technologies for social change. At the same time identity emerges from a process (involving, for instance, provisioning, authentication, administration, authorization and auditing) and it is key to assess at what stage of the ID lifecycle DLTs provide an advantage vis-a-vis other ID technologies; and how the maturity of the blockchain technology toward addressing the ID challenge.
- Finally, we seek to translate current findings into
- Operational conditions that can enable the public and civic sector at-large to determine when “to blockchain” including:
- The need for a clear problem definition (as opposed to certain situations where DLT solutions are in search of a problem);
- The presence of information asymmetries and high transaction costs incentivize change. (“The Market of Lemons” problem);
- The availability of (high quality) digital records;
- The lack of availability of credible and alternative disclosure technologies;
- Deficiency (or efficiency) of (trusted) intermediaries in the space.
- Design principles that can increase the likelihood of societal benefit when using Blockchain for identity projects (see picture) .
In the coming months, we will continue to share our findings from the Blockchange project in a number of forms – including a series of case studies, additional presentations and infographics, and an operational field guide for designing and implementing Blockchain projects to address challenges across the identity lifecycle.
The GovLab, in collaboration with the National Resource Governance Institute, is also delighted to announce a new initiative aimed at taking stock of the promise, practice and challenge of the use of Blockchain in the extractives sector. The project is focused in particular on DLTs as they relate to beneficial ownership, licensing and contracting transparency, and commodity trading transparency. This fall, we will share a collection of Blockchain for extractives case studies, as well as a report summarizing if, when, and how Blockchain can provide value across the extractives decision chain.
If you are interested in collaborating on our work to increase our understanding of Blockchain’s real potential for social change, or if you have any feedback on this presentation of early findings, please contact [email protected].
Health Citizenship: A New Social Contract To Improve The Clinical Trial Process
Essay by Cynthia Grossman and Tanisha Carino: “…We call this new social contract health citizenship, which includes a set of implied rights and responsibilities for all parties.
Three fundamental truths underpin our efforts:
- The path to better health and the advancement of science begin and end with engaged patients.
- The biomedical research enterprise lives all around us — in clinical trials, the data in our wearables, electronic health records, and data used for payment.
- The stakeholders that fuel advancement — clinicians, academia, government, the private sector, and investors — must create a system focused on speeding medical research and ensuring that patients have appropriate access to treatments.
To find tomorrow’s cures, treatments, and prevention measures, every aspect of society needs to get involved. Health citizenship recognizes that the future of innovative research and development depends on both patients and the formal healthcare system stepping up to the plate.
Moving Toward A Culture Of Transparency
Increasing clinical trials registration and posting of research results are steps in the direction of transparency. Access to information about clinical trials — enrollment criteria, endpoints, locations, and results — is critical to empowering patients, their families, and primary care physicians. Also, transparency has a cascading impact on the cost and speed of scientific discovery, through ensuring validation and reproducibility of results…..
Encouraging Data Sharing
Data is the currency of biomedical research, and now patients are poised to contribute more of it than ever. In fact, many patients who participate in clinical research expect that their data will be shared and want to be partners, not just participants, in how data is used to advance the science and clinical practice that impact their disease or condition.
Engaging more patients in data sharing is only one part of what is needed to advance a data-sharing ecosystem. The National Academies of Science, Engineering, and Medicine (formerly the Institute of Medicine) conducted a consensus study that details the challenges to clinical trial data sharing. Out of that study spun a new data-sharing platform, Vivli, which will publicly launch this year. The New England Journal of Medicine took an important step toward demonstrating the value of sharing clinical trial data through its SPRINT Data Challenge, where it opened up a data set and supported projects that sought to derive new insights from the existing data. Examples like these will go a long way toward demonstrating the value of data sharing to advancing science, academic careers, and, most importantly, patient health.
As the technology to share clinical trial data improves, it will become less of an impediment than aligning incentives. The academic environment incentivizes researchers through first author and top-tier journal publications, which contribute to investigators holding on to clinical trial data. A recent publication suggests a way to ensure academic credit, through publication credit, for sharing data sets and allows investigators to tag data sets with unique IDs.
While this effort could assist in incentivizing data sharing, we see the value of tagging data sets as a way to rapidly gather examples of the value of data sharing, including what types of data sets are taken up for analysis and what types of analyses or actions are most valuable. This type of information is currently missing, and, without the value proposition, it is difficult to encourage data sharing behavior.
The value of clinical trial data will need to be collectively reexamined through embracing the sharing of data both across clinical trials and combined with other types of data. Similar to the airline and car manufacturing industries sharing data in support of public safety,7 as more evidence is gathered to support the impact of clinical trial data sharing and as the technology is developed to do this safely and securely, the incentives, resources, and equity issues will need to be addressed collectively…(More)”.
A Framework for Strengthening Data Ecosystems to Serve Humanitarian Purposes
Paper by Marc van den Homberg et al: “The incidence of natural disasters worldwide is increasing. As a result, a growing number of people is in need of humanitarian support, for which limited resources are available. This requires an effective and efficient prioritization of the most vulnerable people in the preparedness phase, and the most affected people in the response phase of humanitarian action. Data-driven models have the potential to support this prioritization process. However, the applications of these models in a country requires a certain level of data preparedness.
To achieve this level of data preparedness on a large scale we need to know how to facilitate, stimulate and coordinate data-sharing between humanitarian actors. We use a data ecosystem perspective to develop success criteria for establishing a “humanitarian data ecosystem”. We first present the development of a general framework with data ecosystem governance success criteria based on a systematic literature review. Subsequently, the applicability of this framework in the humanitarian sector is assessed through a case study on the “Community Risk Assessment and Prioritization toolbox” developed by the Netherlands Red Cross. The empirical evidence led to the adaption the framework to the specific criteria that need to be addressed when aiming to establish a successful humanitarian data ecosystem….(More)”.
Creating a Machine Learning Commons for Global Development
Blog by Hamed Alemohammad: “Advances in sensor technology, cloud computing, and machine learning (ML) continue to converge to accelerate innovation in the field of remote sensing. However, fundamental tools and technologies still need to be developed to drive further breakthroughs and to ensure that the Global Development Community (GDC) reaps the same benefits that the commercial marketplace is experiencing. This process requires us to take a collaborative approach.
Data collaborative innovation — that is, a group of actors from different data domains working together toward common goals — might hold the key to finding solutions for some of the global challenges that the world faces. That is why Radiant.Earth is investing in new technologies such as Cloud Optimized GeoTiffs, Spatial Temporal Asset Catalogues (STAC), and ML. Our approach to advance ML for global development begins with creating open libraries of labeled images and algorithms. This initiative and others require — and, in fact, will thrive as a result of — using a data collaborative approach.
“Data is only as valuable as the decisions it enables.”
This quote by Ion Stoica, professor of computer science at the University of California, Berkeley, may best describe the challenge facing those of us who work with geospatial information:
How can we extract greater insights and value from the unending tsunami of data that is before us, allowing for more informed and timely decision making?…(More).