Stefaan Verhulst
Paper by Ajay Chawla and Sandra Ro: “The COVID-19 pandemic has impacted virtually all businesses, but the effect has not been stable yet. While the current disruption may present challenges to the blockchain industry in the short term, it will also unlock new opportunities in the mid and longer-term. By providing help in the COVID-19 crisis and recovery, blockchain can play a pivotal role in accelerating post-crisis digital transformation initiatives and solving those problems highlighted in the current system.
Of course, no one could have foreseen the unprecedented upheaval caused by the novel coronavirus (COVID-19) pandemic which has almost disrupted and dislocated economies and ecosystems across the planet but COVID-19 has brought supply chains to their knees.
Nevertheless, there are some bright spots where blockchain is used to combat the effects of COVID-19 and aid in the recovery process. These innovative use cases can demonstrate the benefits of blockchain to a wider audience.
Organizations including the World Health Organisation (WHO), Oracle, Microsoft, IBM, among other tech companies, government agencies, and international bodies are all working together to develop the blockchain-based platforms and solutions.
Blockchain technology is anchored by its ability to enable decentralized sharing of verified, trusted, and secure information among individuals or organizations. Furthermore, it can be paired with critical security and cryptography to protect the privacy of the users and individuals contributing data while still providing provenance and trust in the shared data.
By providing help in the COVID-19 crisis and recovery, blockchain can play a pivotal role in accelerating post-crisis digital transformation initiatives and solving those problems highlighted in the current system.
However, at the present moment, blockchain is not the panacea of all the problems. While the promise and potential of blockchain are undoubtedly transformative, it is still in the nascence of its evolution.
Keeping a tab on this technology and our capacities is the right direction we can head towards….(More)”.
White Paper by Phoebe Higgins & Timothy Male: “Late in 2017, the United Kingdom’s energy regulator, Ofgem, gave fast approval for a new project allowing residents to buy and sell renewable energy from solar panels and batteries within their own apartment buildings. Normally, this would not be legal since UK energy rules dictate that locally generated energy can only be used by the owner or sold back to the grid at a relatively low price. However, the earlier establishment of a regulatory sandbox for such energy delivery modernizations created a path to try something new and get it approved quickly. In April 2018, only a few months after project initiation, the first peer-to-peer energy trades within apartment complexes started.
Energy policy is not the only space where rules need fast modification to make allowances for all the novelty arising in the world today. The protection and restoration of our water, healthy soil and wildlife resources are static processes, starved for creativity. A United Nations’ panel recently reported on the extinction risks that face more than one million species around the globe. In a 2009 National Rivers and Streams Assessment, the EPA reported that 46 percent of U.S. waterways were in ‘poor’ biological condition, and more than 40 percent were polluted with high levels of nitrogen or phosphorus.
Innovators have big ideas that could help with these problems, but ponderous regulatory systems and older generations of bureaucrats aren’t used to the fast pace of new technologies, tools and products. Often, it is a simple thing—one word or phrase in a policy or regulation—that is a barrier to a new technology or technique being widely used. However, one sentence can be just as hard and slow to change as a whole law. Rather than simply accept this regulatory status quo, we believe in the need to find, nurture and learn from new concepts even when it means deliberately
breaking old rules.
Regulatory sandboxes like the one in the United Kingdom open the door to testing new approaches within a controlled environment. While they don’t ensure success, they make it possible for new technologies and tools to be explored in real-world settings. Not just so that innovators can learn, but also to allow government bureaucracies to catch up to the present and adapt to the future. Our planet and country need more opportunities to do this….(More)“
Book edited by Maria Tzanou: “The growth of data collecting goods and services, such as ehealth and mhealth apps, smart watches, mobile fitness and dieting apps, electronic skin and ingestible tech, combined with recent technological developments such as increased capacity of data storage, artificial intelligence and smart algorithms have spawned a big data revolution that has reshaped how we understand and approach health data. Recently the COVID-19 pandemic has foregrounded a variety of data privacy issues. The collection, storage, sharing and analysis of health- related data raises major legal and ethical questions relating to privacy, data protection, profiling, discrimination, surveillance, personal autonomy and dignity.
This book examines health privacy questions in light of the GDPR and the EU’s general data privacy legal framework. The GDPR is a complex and evolving body of law that aims to deal with several technological and societal health data privacy problems, while safeguarding public health interests and addressing its internal gaps and uncertainties. The book answers a diverse range of questions including: What role can the GDPR play in regulating health surveillance and big (health) data analytics? Can it catch up with the Internet age developments? Are the solutions to the challenges posed by big health data to be found in the law? Does the GDPR provide adequate tools and mechanisms to ensure public health objectives and the effective protection of privacy? How does the GDPR deal with data that concern children’s health and academic research?
By analysing a number of diverse questions concerning big health data under the GDPR from various different perspectives, this book will appeal to those interested in privacy, data protection, big data, health sciences, information technology, the GDPR, EU and human rights law….(More)”.
Andrew Young and Stefaan Verhulst at The Palgrave Encyclopedia of Interest Groups, Lobbying and Public Affairs: “The rise of the open data movement means that a growing amount of data is today being broken out of information silos and released or shared with third parties. Yet despite the growing accessibility of data, there continues to exist a mismatch between the supply of, and demand for, data (Verhulst & Young, 2018). This is because supply and demand are often widely dispersed – spread across government, the private sector, and civil society – meaning that those who need data do not know where to find it, and those who release data do not know how to effectively target it at those who can most effectively use it (Susha, Janssen, & Verhulst, 2017). While much commentary on the data era’s shortcomings focuses on issues such as data glut (Buchanan & Kock, 2001), misuse of data (Solove & Citron, 2017), or algorithmic bias (Hajian, Bonchi, & Castillo, 2016), this mismatch between supply and demand is at least equally problematic, resulting in tremendous inefficiencies and lost potential.
Data collaboratives, when designed responsibly (Alemanno, 2018), can help to address such shortcomings. They draw together otherwise siloed data – such as, for example, telecom data, satellite imagery, social media data, financial data – and a dispersed range of expertise. In the process, they help match supply and demand, and ensure that the appropriate institutions and individuals are using and analyzing data in ways that maximize the possibility of new, innovative social solutions (de Montjoye, Gambs, Blondel, et al., 2018)….(More)”.
The Editorial Board at the Financial Times: “The soundtrack of school students marching through Britain’s streets shouting “f*** the algorithm” captured the sense of outrage surrounding the botched awarding of A-level exam grades this year. But the students’ anger towards a disembodied computer algorithm is misplaced. This was a human failure. The algorithm used to “moderate” teacher-assessed grades had no agency and delivered exactly what it was designed to do.
It is politicians and educational officials who are responsible for the government’s latest fiasco and should be the target of students’ criticism….
Sensibly designed, computer algorithms could have been used to moderate teacher assessments in a constructive way. Using past school performance data, they could have highlighted anomalies in the distribution of predicted grades between and within schools. That could have led to a dialogue between Ofqual, the exam regulator, and anomalous schools to come up with more realistic assessments….
There are broader lessons to be drawn from the government’s algo fiasco about the dangers of automated decision-making systems. The inappropriate use of such systems to assess immigration status, policing policies and prison sentencing decisions is a live danger. In the private sector, incomplete and partial data sets can also significantly disadvantage under-represented groups when it comes to hiring decisions and performance measures.
Given the severe erosion of public trust in the government’s use of technology, it might now be advisable to subject all automated decision-making systems to critical scrutiny by independent experts. The Royal Statistical Society and The Alan Turing Institute certainly have the expertise to give a Kitemark of approval or flag concerns.
As ever, technology in itself is neither good nor bad. But it is certainly not neutral. The more we deploy automated decision-making systems, the smarter we must become in considering how best to use them and in scrutinising their outcomes. We often talk about a deficit of trust in our societies. But we should also be aware of the dangers of over-trusting technology. That may be a good essay subject for next year’s philosophy A-level….(More)”.
About: “Landlord Tech—what the real estate industry describes as residential property technology, is leading to new forms of housing injustice. Property technology, or “proptech,” has grown dramatically since 2008, and applies to residential, commercial, and industrial buildings, effectively merging the real estate, technology, and finance industries. By employing digital surveillance, data collection, data accumulation, artificial intelligence, dashboards, and platform real estate in tenant housing and neighborhoods, Landlord Tech increases the power of landlords while disempowering tenants and those seeking shelter.
There are few laws and regulations governing the collection and use of data in the context of Landlord Tech. Because it is generally sold to landlords and property managers, not tenants, Landlord Tech is often installed without notifying or discussing potential harms with tenants and community members. These harms include the possibility that sensitive and personal data can be handed over to the police, ICE, or other law enforcement and government agencies. Landlord Tech can also be used to automate evictions, racial profiling, and tenant harassment. In addition, Landlord Tech is used to abet real estate speculation and gentrification, making buildings more desirable to whiter and wealthier tenants, while feeding real estate and tech companies with property – be that data or real estate. Landlord Tech tracking platforms have increasingly been marketed to landlords as solutions to Covid-19, leading to new forms of residential surveillance….(More)”.
Open access book by Christoph Bartneck, Christoph Lütge, Alan Wagner and Sean Welsh: “This book provides an introduction into the ethics of robots and artificial intelligence. The book was written with university students, policy makers, and professionals in mind but should be accessible for most adults. The book is meant to provide balanced and, at times, conflicting viewpoints as to the benefits and deficits of AI through the lens of ethics. As discussed in the chapters that follow, ethical questions are often not cut and dry. Nations, communities, and individuals may have unique and important perspectives on these topics that should be heard and considered. While the voices that compose this book are our own, we have attempted to represent the views of the broader AI, robotics, and ethics communities.
This book provides an introduction into the ethics of robots and artificial intelligence. The book was written with university students, policy makers, and professionals in mind but should be accessible for most adults. The book is meant to provide balanced and, at times, conflicting viewpoints as to the benefits and deficits of AI through the lens of ethics. As discussed in the chapters that follow, ethical questions are often not cut and dry. Nations, communities, and individuals may have unique and important perspectives on these topics that should be heard and considered. While the voices that compose this book are our own, we have attempted to represent the views of the broader AI, robotics, and ethics communities….(More)”.
Gregory Rosston and Scott J. Wallsten at the Hill: “COVID-19 has, among other things, brought home the costs of the digital divide. Numerous op-eds have offered solutions, including increasing subsidies to schools, providing eligible low-income people with a $50 per month broadband credit, funding more digital literacy classes and putting WiFi on school buses. A House bill would allocate $80 billion to ideas meant to close the digital divide.
The key missing component of nearly every proposal to solve the connectivity problem is evidence — evidence suggesting the ideas are likely to work and ways to use evidence in the future to evaluate whether they did work. Otherwise, we are likely throwing money away. Understanding what works and what doesn’t requires data collection and research now and in the future….
Consider President Trump’s belief in hydroxychloroquine as a cure for the novel coronavirus based simply on his “gut.” That resulted in the government ordering the drug to be produced, distributed to hospitals, and 63 million doses put into a strategic national stockpile.
The well-meaning folks offering up multi-billion dollar broadband plans probably recognize the foolhardiness of the president’s gut-check approach to guiding virus treatment plans. But so far, policy makers and advocates are promoting their own gut beliefs that their proposals will treat the digital divide. An evidence-free approach is likely to cost billions of dollars more and connect fewer people than an evidence-based approach.
It doesn’t have to be this way. The pandemic did not only lay bare the implications of the digital divide, it also created a laboratory for studying how best to bridge the divide. The most immediate problem was how to help kids without home broadband attend distance learning classes. Schools had no time to formally study different options — it was a race to find anything that might help. As a result, schools incidentally ran thousands of concurrent experiments around the country….(More)”.
Essay by Thamy Pogrebinschi: “…In such scenarios, it seems relevant to acknowledge the limits of the state to deal with huge and unpredictable challenges and thus the need to resort to civil society. State capacity cannot be built overnight, but social intelligence is an unlimited and permanently available resource. In recent years, digital technology has multiplied what has been long called social intelligence (Dewey) and is now more often known as collective intelligence (Lévy), the wisdom of crowds (Surowiecki), or democratic reason (Landemore).
Taken together, these concepts point to the most powerful tool available to governments facing hard problems and unprecedented challenges: the sourcing and sharing of knowledge, information, skills, resources, and data from citizens in order to address social and political problems.
The Covid-19 pandemic presents an opportunity to test the potential of social intelligence as fuel for processes of creative collaboration that may aid governments to reinvent themselves and prepare for the challenges that will remain after the virus is gone. By creative collaboration, I mean a range of forms of communication, action, and connection among citizens themselves, between citizens and civil society organizations (CSOs), and between the latter two and their governments, all with the common aim of addressing problems that affect all and that the state for various reasons cannot (satisfactorily) respond to alone.
While several Latin American countries have been stuck in the Covid-19 crisis with governments unable or unwilling to contain it or to reduce its damages, a substantial number of digital democratic innovations have been advanced by civil society in the past few months. These comprise institutions, processes, and mechanisms that rely on digital citizen participation as a means to address social and political problems – and, more recently, also problems of a humanitarian nature….
Between March 16 and July 1 of this year, at least 400 digital democratic innovations were created across 18 countries in Latin America with the specific aim of handling the Covid-19 crisis and mitigating its impact, according to recent data from the LATINNO project. These innovations are essentially mechanisms and processes in which citizens, with the aid of digital tools, are enabled to address social, political, and humanitarian problems related to the pandemic.
Citizens engage in and contribute to three levels of responses, which are based on information, connection, and action. About one-fourth of these digital democratic innovations clearly rely on crowdsourcing social intelligence.
The great majority of those digital innovations have been developed by CSOs. Around 75% of them have no government involvement at all, which is striking in a region known for implementing state-driven citizen participation as a result of the democratization processes that took place in the late 20th century. Civil society has stepped in in most countries, particularly where government responses were absent (Brazil and Nicaragua), slow (Mexico), insufficient due to lack of economic resources (Argentina) or infrastructure (Peru), or simply inefficient (Chile).
Based on these data from 18 Latin American countries, one can observe that digital democratic innovations address challenges posed by the Covid-19 outbreak in five main ways: first, generating verified information and reliable data; second, geolocating problems, needs, and demands; third, mobilizing resources, skills, and knowledge to address those problems, needs, and demands; fourth, connecting demand (individuals and organizations in need) and supply (individuals and organizations willing to provide whatever is needed); and fifth and finally, implementing and monitoring public policies and actions. In some countries, there is a sixth use that cuts across the other five: assisting vulnerable groups such as the elderly, women, children and youth, indigenous peoples, and Afro-descendants….(More)”
Paper by Hamed Khaledi: “This research models governance as a collective intelligence process, particularly as a collective design process. The outcome of this process is a solution to a problem. The solution can be a decision, a policy, a product, a financial plan, etc. The quality (value) of the outcome solution reflects the quality (performance) of the process. Using an analytical model, I identify five mediators (channels) through which, different factors and features can affect the quality of the outcome and thus the process. Based on this model, I propose an asymmetric response surface method that introduces factors to the experimental model considering their plausible effects.
As a proof of concept, I implemented a generic collective design process in a web application and measured the effects of several factors on its performance through online experiments. The results demonstrate the effectiveness of the proposed method. They also show that approval voting is significantly superior to plurality voting. Some studies assert that not the design process, but the designers drive the quality of the outcome. However, this study shows that the characteristics of the design process (e.g. voting schemes) as well as the designers (e.g. expertise and gender) can significantly affect the quality of the outcome. Hence, the outcome quality can be used as an indicator of the performance of the process. This enables us to evaluate and compare governance mechanisms objectively free from fairness criteria….(More)”.