Paper by Victor Couture et al: “Tracking human activity in real time and at fine spatial scale is particularly valuable during episodes such as the COVID-19 pandemic. In this paper, we discuss the suitability of smartphone data for quantifying movement and social contact. We show that these data cover broad sections of the US population and exhibit movement patterns similar to conventional survey data. We develop and make publicly available a location exposure index that summarizes county-to-county movements and a device exposure index that quantifies social contact within venues. We use these indices to document how pandemic-induced reductions in activity vary across people and places….(More)”.
The Misinformation Edition
On-Line Exhibition by the Glass Room: “…In this exhibition – aimed at young people as well as adults – we explore how social media and the web have changed the way we read information and react to it. Learn why finding “fake news” is not as easy as it sounds, and how the term “fake news” is as much a problem as the news it describes. Dive into the world of deep fakes, which are now so realistic that they are virtually impossible to detect. And find out why social media platforms are designed to keep us hooked, and how they can be used to change our minds. You can also read our free Data Detox Kit, which reveals how to tell facts from fiction and why it benefits everyone around us when we take a little more care about what we share…(More)”.
EXPLORE OUR ONLINE EXHIBITION
Rethinking Readiness: A Brief Guide to Twenty-First-Century Megadisasters
Book by Jeff Schlegelmilch: “As human society continues to develop, we have increased the risk of large-scale disasters. From health care to infrastructure to national security, systems designed to keep us safe have also heightened the potential for catastrophe. The constant pressure of climate change, geopolitical conflict, and our tendency to ignore what is hard to grasp exacerbates potential dangers. How can we prepare for and prevent the twenty-first-century disasters on the horizon?
Rethinking Readiness offers an expert introduction to human-made threats and vulnerabilities, with a focus on opportunities to reimagine how we approach disaster preparedness. Jeff Schlegelmilch identifies and explores the most critical threats facing the world today, detailing the dangers of pandemics, climate change, infrastructure collapse, cyberattacks, and nuclear conflict. Drawing on the latest research from leading experts, he provides an accessible overview of the causes and potential effects of these looming megadisasters. The book highlights the potential for building resilient, adaptable, and sustainable systems so that we can be better prepared to respond to and recover from future crises. Thoroughly grounded in scientific and policy expertise, Rethinking Readiness is an essential guide to this century’s biggest challenges in disaster management…(More)”.
Rethinking citizen engagement for an inclusive energy transition
Urban Futures Studio: “In July 2020, we published our new essay ‘What, How and Who? Designing inclusive interactions in the energy transition’ (Bronsvoort, Hoffman and Hajer, 2020). In this essay, we argue that how the interactions between citizens and governments are shaped and enacted, has a large influence on who gets involved and to what extend people feel heard. To apply this approach to cases, we distinguish between three dimensions of interaction:
- What (the defined object or issue at hand)
- How (the setting and staging of the interaction)
- Who (the target groups and protagonists of the process)
Focusing on the issue of form, we argue that processes for interaction between citizens and governments should be designed in a way that is more future oriented, organized over the long term, in closer proximity to citizens and with attention to the powerful role of ‘in-betweeners’ and ‘in-between’ places such as community houses, where people can meet to deliberate on the wide range of possible futures for their neighbourhood.
Towards a multiplicity of future visions for sustainable cities
The energy transition has major consequences for the way we live, work, move and consume. For such complex transitions, governments need to engage and collaborate with citizens and other stakeholders. Their engagement enriches existing visions on future neighbourhoods, inform local policies and stimulate change. But how do you shape and organize such a participatory process? While governments use a wide range of public participation methods, many researchers have emphasized the limitations of many of these conventional methods with regard to the inclusion of diverse groups of citizens and in bridging discrepancies between government approaches and people’s lived experiences.
Rethinking citizen engagement for an inclusive energy transition
To help rethink citizen engagement, the Urban Futures Studio investigates existing and new approaches to citizen engagement and how they are practised by governments and societal actors. Following our essay research, our next project on citizen engagement includes a study on its relation to experimentation as a novel mode of governance. The goal of this research is to show insights into how citizen engagement manifests itself in the context of experimental governance on the neighbourhood level. By investigating the interactions between citizens, governments and other stakeholders in different types of participatory projects, we aim to gain a better understanding of how citizens are engaged and included in energy transition experiments and how we can improve its level of inclusion.
We use a relational approach of citizen engagement, by which we view participatory processes as collective practices that both shape and are shaped by their ‘matter of concern’, their public and their setting and staging. This view places emphasis on the form and conditions under which the interaction takes place. For example, the initiative of Places of Hope showed that engagement can be organised in diverse ways and can create new collectives….(More)”.
The Atlas of Surveillance
Electronic Frontier Foundation: “Law enforcement surveillance isn’t always secret. These technologies can be discovered in news articles and government meeting agendas, in company press releases and social media posts. It just hasn’t been aggregated before.
That’s the starting point for the Atlas of Surveillance, a collaborative effort between the Electronic Frontier Foundation and the University of Nevada, Reno Reynolds School of Journalism. Through a combination of crowdsourcing and data journalism, we are creating the largest-ever repository of information on which law enforcement agencies are using what surveillance technologies. The aim is to generate a resource for journalists, academics, and, most importantly, members of the public to check what’s been purchased locally and how technologies are spreading across the country.
We specifically focused on the most pervasive technologies, including drones, body-worn cameras, face recognition, cell-site simulators, automated license plate readers, predictive policing, camera registries, and gunshot detection. Although we have amassed more than 5,000 datapoints in 3,000 jurisdictions, our research only reveals the tip of the iceberg and underlines the need for journalists and members of the public to continue demanding transparency from criminal justice agencies….(More)”.
Four Principles for Integrating AI & Good Governance
Oxford Commission on AI and Good Governance: “Many governments, public agencies and institutions already employ AI in providing public services, the distribution of resources and the delivery of governance goods. In the public sector, AI-enabled governance may afford new efficiencies that have the potential to transform a wide array of public service tasks.
But short-sighted design and use of AI can create new problems, entrench existing inequalities, and calcify and ultimately undermine government organizations.
Frameworks for the procurement and implementation of AI in public service have widely remained undeveloped. Frequently, existing regulations and national laws are no longer fit for purpose to ensure
good behaviour (of either AI or private suppliers) and are ill-equipped to provide guidance on the democratic use of AI.
As technology evolves rapidly, we need rules to guide the use of AI in ways that safeguard democratic values. Under what conditions can AI be put into service for good governance?
We offer a framework for integrating AI with good governance. We believe that with dedicated attention and evidence-based policy research, it should be possible to overcome the combined technical and organizational challenges of successfully integrating AI with good governance. Doing so requires working towards:
Inclusive Design: issues around discrimination and bias of AI in relation to inadequate data sets, exclusion of minorities and under-represented
groups, and the lack of diversity in design.
Informed Procurement: issues around the acquisition and development in relation to due diligence, design and usability specifications and the assessment of risks and benefits.
Purposeful Implementation: issues around the use of AI in relation to interoperability, training needs for public servants, and integration with decision-making processes.
Persistent Accountability: issues around the accountability and transparency of AI in relation to ‘black box’ algorithms, the interpretability and explainability of systems, monitoring and auditing…(More)”
Tackling the misinformation epidemic with “In Event of Moon Disaster”
MIT Open Learning: “Can you recognize a digitally manipulated video when you see one? It’s harder than most people realize. As the technology to produce realistic “deepfakes” becomes more easily available, distinguishing fact from fiction will only get more challenging. A new digital storytelling project from MIT’s Center for Advanced Virtuality aims to educate the public about the world of deepfakes with “In Event of Moon Disaster.”
This provocative website showcases a “complete” deepfake (manipulated audio and video) of U.S. President Richard M. Nixon delivering the real contingency speech written in 1969 for a scenario in which the Apollo 11 crew were unable to return from the moon. The team worked with a voice actor and a company called Respeecher to produce the synthetic speech using deep learning techniques. They also worked with the company Canny AI to use video dialogue replacement techniques to study and replicate the movement of Nixon’s mouth and lips. Through these sophisticated AI and machine learning technologies, the seven-minute film shows how thoroughly convincing deepfakes can be….
Alongside the film, moondisaster.org features an array of interactive and educational resources on deepfakes. Led by Panetta and Halsey Burgund, a fellow at MIT Open Documentary Lab, an interdisciplinary team of artists, journalists, filmmakers, designers, and computer scientists has created a robust, interactive resource site where educators and media consumers can deepen their understanding of deepfakes: how they are made and how they work; their potential use and misuse; what is being done to combat deepfakes; and teaching and learning resources….(More)”.
The Coronavirus and Innovation
Essay by Scott E. Page: “The total impact of the coronavirus pandemic—the loss of life and the economic, social, and psychological costs arising from both the pandemic itself and the policies implemented to prevent its spread—defy any characterization. Though the pandemic continues to unsettle, disrupt, and challenge communities, we might take a moment to appreciate and applaud the diversity, breadth, and scope of our responses—from individual actions to national policies—and even more important, to reflect on how they will produce a post–Covid-19 world far better than the world that preceded it.
In this brief essay, I describe how our adaptive responses to the coronavirus will lead to beneficial policy innovations. I do so from the perspective of a many-model thinker. By that I mean that I will use several formal models to theoretically elucidate the potential pathways to creating a better world. I offer this with the intent that it instills optimism that our current efforts to confront this tragic and difficult challenge will do more than combat the virus now and teach us how to combat future viruses. They will, in the long run, result in an enormous number of innovations in policy, business practices, and our daily lives….(More)”.
Why Hundreds of Mathematicians Are Boycotting Predictive Policing
Courtney Linder at Popular Mechanics: “Several prominent academic mathematicians want to sever ties with police departments across the U.S., according to a letter submitted to Notices of the American Mathematical Society on June 15. The letter arrived weeks after widespread protests against police brutality, and has inspired over 1,500 other researchers to join the boycott.
These mathematicians are urging fellow researchers to stop all work related to predictive policing software, which broadly includes any data analytics tools that use historical data to help forecast future crime, potential offenders, and victims. The technology is supposed to use probability to help police departments tailor their neighborhood coverage so it puts officers in the right place at the right time….
RAND
According to a 2013 research briefing from the RAND Corporation, a nonprofit think tank in Santa Monica, California, predictive policing is made up of a four-part cycle (shown above). In the first two steps, researchers collect and analyze data on crimes, incidents, and offenders to come up with predictions. From there, police intervene based on the predictions, usually taking the form of an increase in resources at certain sites at certain times. The fourth step is, ideally, reducing crime.
“Law enforcement agencies should assess the immediate effects of the intervention to ensure that there are no immediately visible problems,” the authors note. “Agencies should also track longer-term changes by examining collected data, performing additional analysis, and modifying operations as needed.”
In many cases, predictive policing software was meant to be a tool to augment police departments that are facing budget crises with less officers to cover a region. If cops can target certain geographical areas at certain times, then they can get ahead of the 911 calls and maybe even reduce the rate of crime.
But in practice, the accuracy of the technology has been contested—and it’s even been called racist….(More)”.
Monitoring Corruption: Can Top-down Monitoring Crowd-Out Grassroots Participation?
Paper by Robert M Gonzalez, Matthew Harvey and Foteini Tzachrista: “Empirical evidence on the effectiveness of grassroots monitoring is mixed. This paper proposes a previously unexplored mechanism that may explain this result. We argue that the presence of credible and effective top-down monitoring alternatives can undermine citizen participation in grassroots monitoring efforts. Building on Olken’s (2009) road-building field experiment in Indonesia; we find a large and robust effect of the participation interventions on missing expenditures in villages without an audit in place. However, this effect vanishes as soon as an audit is simultaneously implemented in the village. We find evidence of crowding-out effects: in government audit villages, individuals are less likely to attend, talk, and actively participate in accountability meetings. They are also significantly less likely to voice general problems, corruption-related problems, and to take serious actions to address these problems. Despite policies promoting joint implementation of top-down and bottom-up interventions, this paper shows that top-down monitoring can undermine rather than complement grassroots efforts….(More)”.