Automating the War on Noise Pollution

Curated on Posted on by Stefaan Verhulst

Article by Linda Poon: “Any city dweller is no stranger to the frequent revving of motorbikes and car engines, made all the more intolerable after the months of silence during pandemic lockdowns. Some cities have decided to take action. 

Paris police set up an anti-noise patrol in 2020 to ticket motorists whose vehicles exceed a certain decibel level, and soon, the city will start piloting the use of noise sensors in two neighborhoods. Called Medusa, each device uses four microphones to detect and measure noise levels, and two cameras to help authorities track down the culprit. No decibel threshold or fines will be set during the three-month trial period, according to French newspaper Liberation, but it’ll test the potentials and limits of automating the war on sound pollution.

Cities like Toronto and Philadelphia are also considering deploying similar tools. By now, research has been mounting about the health effects of continuous noise exposure, including links to high blood pressure and heart disease, and to poor mental health. And for years, many cities have been tackling noise through ordinances and urban design, including various bans on leaf blowers, on construction at certain hours and on cars. Some have even hired “night mayors” to, among other things, address complaints about after-hours noise.

But enforcement, even with the help of simple camera-and-noise radars, has been a challenge. Since 2018,  the Canadian city of Edmonton has been piloting the use of four radars attached to light poles at busy intersections in the downtown area. A 2021 report on the second phase of the project completed in 2020, found that officials had to manually sift through the data to take out noise made by, say, sirens. And the recordings didn’t always provide strong enough evidence against the offender in court. It was also costly: The pilot cost taxpayers $192,000, while fines generated a little more than half that amount, according to CTV News Edmonton.

Those obstacles have made noise pollution an increasingly popular target for smart city innovation, with companies and researchers looking to make environmental monitoring systems do more than just measure decibel levels…(More)”.

COVID-19 interventions: what behavioural scientists should – and shouldn’t – be advising government on

Curated on Posted on by Stefaan Verhulst

Article by Adam Oliver: “Behavioural scientists study human behaviour, which is complex, with different phenomena driving people in different directions, and with even the same phenomena driving people in different directions depending on timing and context. When it comes to assessing the possible threat of a pandemic at its beginning, behavioural scientists simply cannot predict with any degree of accuracy whether or not people are over or underreacting. That said, behavioural scientists do have a potentially important role to play in any present and future infectious disease pandemic response, but first I will expand a little on those aspects of a pandemic where their advice is perhaps a little more circumspect.

Scientific expertise is normally focussed within very specific domains, and yet the relevant outcomes – health, social, and economic-related – of an event such as a pandemic involve considerations that extend far beyond the range of any individual’s area of competence. The pronouncements from a behavioural scientist on whether a government ought to impose policies with such far reaching implications as a national lockdown should thus be treated with a healthy degree of scepticism. To use an analogy, if a person experiences a problem with his or her car and doesn’t possess the skills to fix it, s/he will seek the expertise of a motor mechanic. However, this does not mean that a mechanic has the requisite skills to manage effectively General Motors…

My suggestion is for behavioural scientists to leave the judgments on which interventions ought to be introduced to those appointed to balance all relevant considerations, and instead focus on assessing how the introduced interventions might be made more effective with input from their knowledge of behavioural science. There are, of course, many domains of policy – indeed, perhaps all domains of policy – where behavioural science expertise can be usefully deployed in this way, including in relation to interventions intended to get the economy moving again, in securing volunteering behaviours to help the vulnerable, to encourage people to report and escape from domestic abuse, etc. But in terms of assessing policy effectiveness, perhaps the most visible ways in which behavioural scientists have thus far been involved in the pandemic response is in relation to interventions intended to limit the spread of, and enhance resistance to, the virus: i.e. handwashing, social distancing, mask wearing, voluntary testing, and vaccine uptake….(More)”.

Enlightenment’s dimming light

Curated on Posted on by Stefaan Verhulst

Anthony Painter at the RSA: “…The project of the Enlightenment is dimming and more of the same values and the political economy and society they surface cannot enable us to resolve the global problems we face. One America is already too much and with China heading that way in consumption and environmental degradation terms the global impacts will be devastating. Something must evolve and fast if we are not to crash into these limits that have become apparent. COP26 was a step; many, many more are required. First there was the unravelling, but unless we face it then there will be reckoning – for many, though innocent, there already is.

There is a volume of documentary evidence behind the nature of these multiple crises. Whilst we should constantly remind ourselves of the depth of the challenge, and it is at scale, there are two urgent questions that are needed if we are to find a way through. In the words of Arundhati Roy, who do we want to be at the other side – through the portal? How do we travel with that sense of purpose and deep values as we confront the future? Survival requires us as societies to rapidly learn together and evolve.

To make the transition relies on developing three inter-connected and mutually reinforcing values: home, community and democracy. Through these we will develop a sense of the ‘lifeworld’ we wish to safeguard. The German philosopher, Jurgen Habermas, sees the lifeworld as a space of human interaction and civic community and see its interface with big systems of money and power – human creations but distinct forces from the ‘lifeworld’ – as the critical site of human progress and well-being. Creativity happens at the frontier between the lifeworld and big systems.

What is meant by ‘home’? Some elements of home are in proximity. They are our close relations, those we care for directly and receive care from, as deep commitment rather than reciprocated self-interest. Home is a state of what Michael Tomasello has termed, collective intentionality. Any account of the future will need to have a convincing account of close relations. Increasingly these relationships are mediated by technology and we need to develop a more conscious account of how technology can and should act as a bond rather than a thinner of human relations.

There are seemingly more distant aspects of ‘home’ too – most particularly the natural environmental into which we are woven. And there we have been committing acts of domestic harm: polluting the atmosphere, depleting the stock of species, and poisoning the water and the ground with toxic waste. This two century long destructive streak is now visible and realised. There is a common understanding that change must come: but how and how rapidly? How can we develop an even greater collective sense of the need for rapid and radical change? And how can we begin to evolve systems of money, power and technology to respond to this new ‘common sense’? How can our future be one that regenerates nature as well as ourselves?…(More)”

Data Re-Use and Collaboration for Development

Curated on Posted on by Stefaan Verhulst

Stefaan G. Verhulst at Data & Policy: “It is often pointed out that we live in an era of unprecedented data, and that data holds great promise for development. Yet equally often overlooked is the fact that, as in so many domains, there exist tremendous inequalities and asymmetries in where this data is generated, and how it is accessed. The gap that separates high-income from low-income countries is among the most important (or at least most persistent) of these asymmetries…

Data collaboratives are an emerging form of public-private partnership that, when designed responsibly, can offer a potentially innovative solution to this problem. Data collaboratives offer at least three key benefits for developing countries:

1. Cost Efficiencies: Data and data analytic capacity are often hugely expensive and beyond the limited capacities of many low-income countries. Data reuse, facilitated by data collaboratives, can bring down the cost of data initiatives for development projects.

2. Fresh insights for better policy: Combining data from various sources by breaking down silos has the potential to lead to new and innovative insights that can help policy makers make better decisions. Digital data can also be triangulated with existing, more traditional sources of information (e.g., census data) to generate new insights and help verify the accuracy of information.

3. Overcoming inequalities and asymmetries: Social and economic inequalities, both within and among countries, are often mapped onto data inequalities. Data collaboratives can help ease some of these inequalities and asymmetries, for example by allowing costs and analytical tools and techniques to be pooled. Cloud computing, which allows information and technical tools to be easily shared and accessed, are an important example. They can play a vital role in enabling the transfer of skills and technologies between low-income and high-income countries…(More)”. See also: Reusing data responsibly to achieve development goals (OECD Report).

How digital transformation is driving economic change

Curated on Posted on by Stefaan Verhulst

Blog (and book) by Zia Qureshi: “We are living in a time of exciting technological innovations. Digital technologies are driving transformative change. Economic paradigms are shifting. The new technologies are reshaping product and factor markets and profoundly altering business and work. The latest advances in artificial intelligence and related innovations are expanding the frontiers of the digital revolution. Digital transformation is accelerating in the wake of the COVID-19 pandemic. The future is arriving faster than expected.

A recently published book, “Shifting Paradigms: Growth, Finance, Jobs, and Inequality in the Digital Economy,” examines the implications of the unfolding digital metamorphosis for economies and public policy agendas….

Firms at the technological frontier have broken away from the rest, acquiring dominance in increasingly concentrated markets and capturing the lion’s share of the returns from the new technologies. While productivity growth in these firms has been strong, it has stagnated or slowed in other firms, depressing aggregate productivity growth. Increasing automation of low- to middle-skill tasks has shifted labor demand toward higher-level skills, hurting wages and jobs at the lower end of the skill spectrum. With the new technologies favoring capital, winner-take-all business outcomes, and higher-level skills, the distribution of both capital and labor income has tended to become more unequal, and income has been shifting from labor to capital.

One important reason for these outcomes is that policies and institutions have been slow to adjust to the unfolding transformations. To realize the promise of today’s smart machines, policies need to be smarter too. They must be more responsive to change to fully capture potential gains in productivity and economic growth and address rising inequality as technological disruptions create winners and losers.

As technology reshapes markets and alters growth and distributional dynamics, policies must ensure that markets remain inclusive and support wide access to the new opportunities for firms and workers. The digital economy must be broadened to disseminate new technologies and opportunities to smaller firms and wider segments of the labor force…(More)”.

The Biden Administration Embraces “Democracy Affirming Technologies”

Curated on Posted on by Stefaan Verhulst

Article by Marc Rotenberg: “…But amidst the ongoing struggle between declining democracies and emerging authoritarian governments, the Democracy Summit was notable for at least one new initiative – the support for democracy affirming technology. According to the White House, the initiative “aims to galvanize worldwide a new class of technologies” that can support democratic values.  The White House plan is to bring together innovators, investors, researchers, and entrepreneurs to “embed democratic values.”  The President’s top science advisor Eric Lander provided more detail. Democratic values, he said, include “privacy, freedom of expression, access to information, transparency, fairness, inclusion, and equity.”

In order to spur more rapid technological progress the White House Office of Science and Technology announced three Grand Challenges for Democracy-Affirming Technologies. They are:

  • A collaboration between U.S. and UK agencies to promote “privacy enhancing technologies” that “harness the power of data in a secure manner that protects privacy and intellectual property, enabling cross-border and cross-sector collaboration to solve shared challenges.”
  • Censorship circumvention tools, based on peer-to-peer techniques that enable content-sharing and communication without an Internet or cellular connection. The Open Technology Fund, an independent NGO, will invite international participants to compete on promising P2P technologies to counter Internet shutdowns.
  • A Global Entrepreneurship Challenge will seek to identify entrepreneurs who build and advance democracy-affirming technologies through a set of regional startup and scaleup competitions in countries spanning the democratic world. According to the White House, specific areas of innovation may include: data for policymaking, responsible AI and machine learning, fighting misinformation, and advancing government transparency and accessibility of government data and services.

USAID Administrator Samantha Powers said her agency would spend 20 million annually to expand digital democracy work. “We’ll use these funds to help partner nations align their rules governing the use of technology with democratic principles and respect for human rights,” said the former U.S. Ambassador to the United Nations. Notably, Powers also said the U.S. will take a closer look at export practices to “prevent technologies from falling into hands that would misuse them.” The U.S., along with Denmark, Norway, and Australia, will launch a new Export Controls and Human Rights Initiative. Powers also seeks to align surveillance practices of democratic nations with the Universal Declaration for Human Rights….(More)”.

Cities and the Climate-Data Gap

Curated on Posted on by Stefaan Verhulst

Article by Robert Muggah and Carlo Ratti: “With cities facing disastrous climate stresses and shocks in the coming years, one would think they would be rushing to implement mitigation and adaptation strategies. Yet most urban residents are only dimly aware of the risks, because their cities’ mayors, managers, and councils are not collecting or analyzing the right kinds of information.

With more governments adopting strategies to reduce greenhouse-gas (GHG) emissions, cities everywhere need to get better at collecting and interpreting climate data. More than 11,000 cities have already signed up to a global covenant to tackle climate change and manage the transition to clean energy, and many aim to achieve net-zero emissions before their national counterparts do. Yet virtually all of them still lack the basic tools for measuring progress.

Closing this gap has become urgent, because climate change is already disrupting cities around the world. Cities on almost every continent are being ravaged by heat waves, fires, typhoons, and hurricanes. Coastal cities are being battered by severe flooding connected to sea-level rise. And some megacities and their sprawling peripheries are being reconsidered altogether, as in the case of Indonesia’s $34 billion plan to move its capital from Jakarta to Borneo by 2024.

Worse, while many subnational governments are setting ambitious new green targets, over 40% of cities (home to some 400 million people) still have no meaningful climate-preparedness strategy. And this share is even lower in Africa and Asia – where an estimated 90% of all future urbanization in the next three decades is expected to occur.

We know that climate-preparedness plans are closely correlated with investment in climate action including nature-based solutions and systematic resilience. But strategies alone are not enough. We also need to scale up data-driven monitoring platforms. Powered by satellites and sensors, these systems can track temperatures inside and outside buildings, alert city dwellers to air-quality issues, and provide high-resolution information on concentrations of specific GHGs (carbon dioxide and nitrogen dioxide) and particulate matter…(More)”.

A time for humble governments

Curated on Posted on by Stefaan Verhulst

Essay by Juha Leppänen: “Let’s face it. During the last decade, liberal democracies have not been especially successful in steering societies through our urgent, collective problems. This is reflected in the 2021 Edelman Trust Barometer Spring Update: A World in Trauma: Democratic governments are less trusted in general by their own citizens. While some governments have fared better than others, the trend is clear…

Humility entails both a willingness to listen to different opinions, and a capacity to review one’s own actions in light of new insights. True humility does not need to be deferential. But embracing humility legitimises leadership by cultivating stronger relationships and greater trust among other political and societal stakeholders — particularly with those with different perspectives. In doing so, it can facilitate long-term action and ensure policies are much more resilient in the face of uncertainty.

There are several core steps to establishing humble governance:

  • Some common ground is better than none, so strike a thin consensus with the opposition around a broad framework goal. For example, consider carbon neutrality targets. To begin with, forging consensus does not require locking down on the details of how and what. Take emissions in agriculture. In this case all that is needed is general agreement that significant cuts in CO2 emissions in this sector are necessary in order to hit our national net zero goal. While this can be harder in extremely polarised environments, a thin consensus of some sort usually can be built on any problem that is already widely recognised — no matter how small. This is even the case in political environments dominated by populist leaders.
  • Devolve problem-solving systemically. First, set aside hammering out blueprints and focus on issuing a broad launch plan, backed by a robust process for governmental decision-making. Look for intelligent incentives to prompt collaboration. In the carbon neutrality example, this would begin by identifying where the most critical potential tensions or jurisdictional disputes lie. Since local stakeholders tend to want to resolve tensions locally, give them a clear role in the planning. Divide up responsibility for achieving goals across sectors of the economy, identify key stakeholders needed at the table in each sector, and create a procedure for reviewing progress. Collaboration can be incentivised by offering those who participate the ability, say, to influence future regulations, or by penalising those who refuse to take part.
  • Revise framework goals through robust feedback mechanisms. A truly humble government’s steering documents should be seen as living documents, rather than definitive blueprints. There should be regular consultation with stakeholders on progress, and elected representatives should review the progress on the original problem statement and how success is defined. Where needed, the government in power can use this process to decide whether to reopen discussions with the opposition about how to revise the current goals…(More)”.

The unmet potential of open data

Curated on Posted on by Stefaan Verhulst

Essay by Jane Bambauer: “Open Data holds great promise — and more than thought leaders appreciate. 

Open access to data can lead to a much richer and more diverse range of research and development, hastening innovation. That’s why scientific journals are asking authors to make their data available, why governments are making publicly held records open by default, and why even private companies provide subsets of their data for general research use. Facebook, for example, launched an effort to provide research data that could be used to study the impact of social networks on election outcomes. 

Yet none of these moves have significantly changed the landscape. Because of lingering skepticism and some legitimate anxieties, we have not yet democratized access to Big Data.

There are a few well-trodden explanations for this failure — or this tragedy of the anti-commons — but none should dissuade us from pushing forward….

Finally, creating the infrastructure required to clean data, link it to other data sources, and make it useful for the most valuable research questions will not happen without a significant investment from somebody, be it the government or a private foundation. As Stefaan Verhulst, Andrew Zahuranec, and Andrew Young have explained, creating a useful data commons requires much more infrastructure and cultural buy-in than one might think. 

From my perspective, however, the greatest impediment to the open data movement has been a lack of vision within the intelligentsia. Outside a few domains like public health, intellectuals continue to traffic in and thrive on anecdotes and narratives. They have not perceived or fully embraced how access to broad and highly diverse data could radically change newsgathering (we could observe purchasing or social media data in real time), market competition (imagine designing a new robot using data collected from Uber’s autonomous cars), and responsive government (we could directly test claims of cause and effect related to highly salient issues during election time). 

With a quiet accumulation of use cases and increasing competence in handling and digesting data, we will eventually reach a tipping point where the appetite for more useful research data will outweigh the concerns and inertia that have bogged down progress in the open data movement…(More)”.

The risks and rewards of real-time data

Curated on Posted on by Stefaan Verhulst

Article by David Pringle: “Unlike many valuable resources, real-time data is both abundant and growing rapidly. But it also needs to be handled with great care.

That was one of the key takeaways from an online workshop produced by Science|Business’ Data Rules group, which explored what the rapid growth in real-time data means for artificial intelligence (AI). Real-time data is increasingly feeding machine learning systems that then adjust the algorithms they use to make decisions, such as which news item to display on your screen or which product to recommend.  

“With AI, especially, you want to make sure that the data that you have is consistent, replicable and also valid,” noted Chris Atherton, senior research engagement officer at GÉANT, who described how his organisation transmits data captured by the European Space Agency’s satellites to researchers across the world. He explained that the images of earth taken by satellites are initially processed at three levels to correct for the atmospheric conditions at the time, the angle of the viewpoint and other variables, before being made more widely available for researchers and users to process further. The satellite data is also “validated against ground-based sources…in-situ data to make sure that it is actually giving you a reliable reading,” Atherton added.

Depending on the orbit of the satellites and the equipment involved, the processing can take a few hours or a few days before it is made available to the wider public.  One way to speed things up post publication is to place the pre-processed data into so-called data cubes, Atherton noted, which can then be integrated with AI systems. “You can send queries to the data cube itself rather than having to download the data directly to your own location to process it on your machine,” he explained….(More)”.