Citizen science air quality project in Brussels reveals disparity in pollution levels


Article by Smart Cities World: “A citizen science air quality project in Brussels has revealed a striking disparity in air pollution levels across the city.

It shows socio-economically vulnerable neighbourhoods more likely to suffer from poor air quality. The dataset also shows air quality in the city has improved, but there is still a major health impact.

Between 25 September and 23 October 2021, 3,000 citizens participated in CurieuzenAir, the largest ever citizen science project on air quality in the Belgium capital…

The project is an initiative of the University of Antwerp, urban movement BRAL and Université libre de Bruxelles, in close cooperation with Brussels Environnement, De Standaard, Le Soir and Bruzz. This programme is supported by Bloomberg Philanthropies’ Brussels Clean Air Partnership.

For one month, citizen scientists mapped the concentration of nitrogen dioxide (NO2) – a key indicator of air pollution caused by traffic – in their streets via measuring tubes on the facades of their homes.

The project resulted in a unique dataset showing the impact of road traffic on air quality in Brussels in great detail. Results range from ‘excellent’ to “extremely poor” air quality across Brussels, with a stark contrast in air quality between socio-economically vulnerable neighbourhoods and green, well-off ones.

An interactive dot map shows how the air quality differs greatly from neighbourhood to neighbourhood, and even from street to street. From blue dots (0-15 µg m-3; “very good”) to a number of jet-black dots (>50 µg m-3; “extremely bad”), the CurieuzenAir dataset makes it clear that these differences are explained by emissions from Brussels traffic….

Alain Maron, Brussels minister for climate transition, environment, social affairs and health, said: “CurieuzenAir is a great example of the importance of citizen science. Thanks to all the citizens that took part in the project, we collected unprecedented results on air pollution in Brussels, which help us to better understand the problem in our city.

“While we see that the situation is slowly improving, the concentrations measured still remain unacceptable, and call for urgent, in-depth action. We need to make sure that everyone in the city, wherever they live and whatever they earn, get to breathe a clean and healthy air.”…(More)”.

The first answer for food insecurity: data sovereignty


Interview by Brian Oaster: “For two years now, the COVID-19 pandemic has exacerbated almost every structural inequity in Indian Country. Food insecurity is high on that list.

Like other inequities, it’s an intergenerational product of dispossession and congressional underfunding — nothing new for Native communities. What is new, however, is the ability of Native organizations and sovereign nations to collectively study and understand the needs of the many communities facing the issue. The age of data sovereignty has (finally) arrived.

To that end, the Native American Agriculture Fund (NAAF) partnered with the Indigenous Food and Agricultural Initiative (INAI) and the Food Research and Action Center (FRAC) to produce a special report, Reimagining Hunger Responses in Times of Crisis, which was released in January.

According to the report, 48% of the more than 500 Native respondents surveyed across the country agreed that “sometimes or often during the pandemic the food their household bought just didn’t last, and they didn’t have money to get more.” Food security and access were especially low among Natives with young children or elders at home, people in fair to poor health and those whose employment was disrupted by the pandemic. “Native households experience food insecurity at shockingly higher rates than the general public and white households,” the report noted.

It also detailed how, throughout the pandemic, Natives overwhelmingly turned to their tribal governments and communities — as opposed to state or federal programs — for help. State and federal programs, like the Supplement Nutrition Assistance Program, or SNAP, don’t always mesh with the needs of rural reservations. A benefits card is useless if there’s no food store in your community. In response, tribes and communities came together and worked to get their people fed.

Understanding how and why will help pave the way for legislation that empowers tribes to provide for their own people, by using federal funding to build local agricultural infrastructure, for instance, instead of relying on assistance programs that don’t always work. HCN spoke with the Native American Agriculture Fund’s CEO, Toni Stanger-McLaughlin (Colville), to find out more…(More)”.

Open science, done wrong, will compound inequities


Paper by Tony Ross-Hellauer: “Ten years ago, as a new PhD graduate looking for my next position, I found myself in the academic cold. Nothing says “you are an outsider” more than a paywall asking US$38 for one article. That fuelled my advocacy of open science and, ultimately, drove me to research its implementation.

Now, open science is mainstream, increasingly embedded in policies and expected in practice. But the ways in which it is being implemented can have unintended consequences, and these must not be ignored.

Since 2019, I’ve led ON-MERRIT, a project funded by the European Commission that uses a mixture of computational and qualitative methods to investigate how open science affects the research system. Many in the movement declare equity as a goal, but reality is not always on track for that. Indeed, I fear that without more critical thought, open science could become just the extension of privilege. Our recommendations for what to consider are out this week (see go.nature.com/3kypbj8).

Open science is a vague mix of ideals. Overall, advocates aim to increase transparency, accountability, equity and collaboration in knowledge production by increasing access to research results, articles, methods and tools. This means that data and protocols should be freely shared in high-quality repositories and research articles should be available without subscriptions or reading fees…(More)”.

When Launching a Collaboration, Keep It Agile


Essay by the Stakeholder Alignment Collaborative: “Conventional wisdom holds that large-scale societal challenges require large-scale responses. By contrast, we argue that progress on major societal challenges can and often should begin with small, agile initiatives—minimum viable consortia (MVC)—that learn and adapt as they build the scaffolding for large-scale change. MVCs can address societal challenges by overcoming institutional inertia, opposition, capability gaps, and other barriers because they require less energy for activation, reveal dead ends early on, and can more easily adjust and adapt over time.

Large-scale societal challenges abound, and organizations and institutions are increasingly looking for ways to deal with them. For example, the National Academy of Engineering (NAE) has identified 14 Grand Societal Challenges for “sustaining civilization’s continuing advancement while still improving the quality of life” in the 21st century. They include making solar energy economical, developing carbon sequestration methods, advancing health informatics, and securing cyberspace. The United Nations has set 17 Sustainable Development Goals (SDGs) to achieve by 2030 for a better future for humanity. They include everything from eliminating hunger to reducing inequality.

Tackling such universal goals requires large-scale cooperation, because existing organizations and institutions simply do not have the ability to resolve these challenges independently. Further note that the NAE’s announcement of the challenges stated that “governmental and institutional, political and economic, and personal and social barriers will repeatedly arise to impede the pursuit of solutions to problems.” The United Nations included two enabling SDGs: “peace, justice, and strong institutions” and “partnership for the goals.” The question is how to bring such large-scale partnerships and institutional change into existence.

We are members of the Stakeholder Alignment Collaborative, a research consortium of scholars at different career stages, spanning multiple fields and disciplines. We study collaboration collaboratively and maintain a very flat structure. We have published on multistakeholder consortia associated with science1 and provided leadership and facilitation for the launch and sustainment of many of these consortia. Based on our research into the problem of developing large-scale, multistakeholder partnerships, we believe that MVCs provide an answer.

MVCs are less vulnerable to the many barriers to large-scale solutions, better able to forge partnerships and a more agile framework for making needed adjustments. To demonstrate these points, we focus on examples of MVCs in the domain of scientific research data and computing infrastructure. Research data are essential for virtually all societal challenges, and an upsurge of multistakeholder consortia has occurred in this domain. But the MVC concept is not limited to these challenges, nor to digitally oriented settings. We have chosen this sphere because it offers a diversity of MVC examples for illustration….(More)”. (See also “The Potential and Practice of Data Collaboratives for Migration“).

The Use of Artificial Intelligence as a Strategy to Analyse Urban Informality


Article by Agustina Iñiguez: “Within the Latin American and Caribbean region, it has been recorded that at least 25% of the population lives in informal settlements. Given that their expansion is one of the major problems afflicting these cities, a project is presented, supported by the IDB, which proposes how new technologies are capable of contributing to the identification and detection of these areas in order to intervene in them and help reduce urban informality.

Informal settlements, also known as slums, shantytowns, camps or favelas, depending on the country in question, are uncontrolled settlements on land where, in many cases, the conditions for a dignified life are not in place. Through self-built dwellings, these sites are generally the result of the continuous growth of the housing deficit.

For decades, the possibility of collecting information about the Earth’s surface through satellite imagery has been contributing to the analysis and production of increasingly accurate and useful maps for urban planning. In this way, not only the growth of cities can be seen, but also the speed at which they are growing and the characteristics of their buildings.

Advances in artificial intelligence facilitate the processing of a large amount of information. When a satellite or aerial image is taken of a neighbourhood where a municipal team has previously demarcated informal areas, the image is processed by an algorithm that will identify the characteristic visual patterns of the area observed from space. The algorithm will then identify other areas with similar characteristics in other images, automatically recognising the districts where informality predominates. It is worth noting that while satellites are able to report both where and how informal settlements are growing, specialised equipment and processing infrastructure are also required…(More)”

An ad hoc army of volunteers assembles to help Ukrainian refugees


Eric Westervelt at NPR: “Russia’s invasion of Ukraine has sparked the fastest-growing refugee crisis in Europe since World War II as the U.N. refugee agency says more than 1.5 million Ukrainians have fled their homeland in just the first 12 days of fighting.

The bulk of the refugees — more than 1 million — have left Ukraine through one of eight border crossings in Poland. At more than 20 reception centers along the Polish border, NGOs, charities and the U.N. refugee agency are being aided by an ad hoc army of volunteers from Poland and across Europe who are playing a vital support role serving food, directing donations and helping to drive refugees to friends and family across the continent.

“This is not job for me. If I can help, I can help,” says Krstaps Naymanes, a deliveryman from Liepaja, Latvia, who hit pause on his day job to aid Ukrainians. With friends and a charity, he helped organize cars, RVs and a large bus to take refugees anywhere in Latvia, where others on the ground there are ready to help.”We have flats, houses, food, everything,” he says. “Don’t charge, like, money for this. Peoples want help, and can help. This time need to do! That’s it.”…(More)”.

The New Rules of Data Privacy


Essay by Hossein Rahnama and Alex “Sandy” Pentland: “The data harvested from our personal devices, along with our trail of electronic transactions and data from other sources, now provides the foundation for some of the world’s largest companies. Personal data also the wellspring for millions of small businesses and countless startups, which turn it into customer insights, market predictions, and personalized digital services. For the past two decades, the commercial use of personal data has grown in wild-west fashion. But now, because of consumer mistrust, government action, and competition for customers, those days are quickly coming to an end.

For most of its existence, the data economy was structured around a “digital curtain” designed to obscure the industry’s practices from lawmakers and the public. Data was considered company property and a proprietary secret, even though the data originated from customers’ private behavior. That curtain has since been lifted and a convergence of consumer, government, and market forces are now giving users more control over the data they generate. Instead of serving as a resource that can be freely harvested, countries in every region of the world have begun to treat personal data as an asset owned by individuals and held in trust by firms.

This will be a far better organizing principle for the data economy. Giving individuals more control has the potential to curtail the sector’s worst excesses while generating a new wave of customer-driven innovation, as customers begin to express what sort of personalization and opportunity they want their data to enable. And while Adtech firms in particular will be hardest hit, any firm with substantial troves of customer data will have to make sweeping changes to its practices, particularly large firms such as financial institutions, healthcare firms, utilities, and major manufacturers and retailers.

Leading firms are already adapting to the new reality as it unfolds. The key to this transition — based upon our research on data and trust, and our experience working on this issue with a wide variety of firms — is for companies to reorganize their data operations around the new fundamental rules of consent, insight, and flow…(More)”.

Toward A Periodic Table of Open Data in Cities


Essay by Andrew Zahuranec, Adrienne Schmoeker, Hannah Chafetz and Stefaan G Verhulst: “In 2016, The GovLab studied the impact of open data in countries around the world. Through a series of case studies examining the value of open data across sectors, regions, and types of impact, we developed a framework for understanding the factors and variables that enable or complicate the success of open data initiatives. We called this framework the Periodic Table of Open Impact Factors.

Over the years, this tool has attracted substantial interest from data practitioners around the world. However, given the countless developments since 2016, we knew it needed to be updated and made relevant to our current work on urban innovation and the Third Wave of Open Data.

Last month, the Open Data Policy Lab held a collaborative discussion with our City Incubator participants and Council of Mentors. In a workshop setting with structured brainstorming sessions, we introduced the periodic table to participants and asked how this framework could be applied to city governments. We knew that city government often have fewer resources than other levels of government yet benefit from a potentially stronger connection to constituents being served. How might this Periodic Table of Open Data Elements be different at a city government level? We gathered participant and mentor feedback and worked to revise the table.

Today, to celebrate NYC Open Data Week 2022, the celebration of open data in New York, we are happy to release this refined model with a distinctive focus on developing open data strategies within cities. The Open Data Policy Lab is happy to present the Periodic Table of Open Data in Cities.

The Periodic Table of Open Data in Cities

Separated into five categories — Problem and Demand Definition, Capacity and Culture, Governance and Standards, Partnerships, and Risks and Ethical Pitfalls — this table provides a summary of some of the major issues that open data practitioners can think about as they develop strategies for release and use of open data in the communities they serve. We sought to specifically incorporate the needs of city incubators (as determined by our workshop), but the table can be relevant to a variety of stakeholders.

While descriptions for each of these elements are included below, the Periodic Table of Open Data Elements in Cities is an iterative framework and new elements will be perennially added or adjusted in accordance with emerging practices…(More)”.

Repeat photos show change in southern African landscapes: a citizen science project


Paper by Timm Hoffman and Hana Petersen: “Every place in the world has a history. To understand it in the present you need some knowledge of its past. The history of the earth can be read from its rocks; the history of life, from the evolutionary histories and relationships of its species. But what of the history of modern landscapes and the many benefits we derive from them, such as water and food? What are their histories – and how are they shifting in response to the intense pressures they face from climate change and from people?

Historical landscape photographs provide one way of measuring this. They capture the way things were at a moment in time. By standing at the same place and re-photographing the same scene, it is possible to document the nature of change. Sometimes researchers can even measure the extent and rate of change for different elements in the landscape.

Reasons for the change can also sometimes be observed from this and other historical information, such as the climate or fire record. All of these data can then be related to what has been written about environmental change using other approaches and models. Researchers can ascertain whether the environment has reached a critical threshold and consider how to respond to the changes.

This is what repeat photography is all about…

The rePhotoSA project was launched in August 2015. The idea is to involve interested members of the public in re-photographing historical locations. This has two benefits. First, participants add to the number of repeated images. Second, public awareness of landscape change is raised.

The project website has over 6,000 historical images from ten primary photographic collections of southern African landscapes, dating from the late 1800s to the early 2000s. The geographic spread of the photographs is influenced largely by the interests of the original photographers. Often these photographs are donated to the project by family members, or institutions to which the original photographers belonged – and sometimes by the photographers themselves….(More)

Artificial Intelligence and Democratic Values


Introduction to Special Issue of the Turkish Policy Quarterly (TPQ): “…Artificial intelligence has fast become part of everyday life, and we wanted to understand how it fits into democratic values. It was important for us to ask how we can ensure that AI and digital policies will promote broad social inclusion, which relies on fundamental rights, democratic institutions, and the rule of law. There seems to be no shortage of principles and concepts that support the fair and responsible use of AI systems, yet it’s difficult to determine how to efficiently manage or deploy those systems today.

Merve Hickok and Marc Rotenberg, two TPQ Advisory Board members, wrote the lead article for this issue. In a world where data means power, vast amounts of data are collected every day by both private companies and government agencies, which then use this data to fuel complex systems for automated decision-making now broadly described as “Artificial Intelligence.” Activities managed with these AI systems range from policing to military, to access to public services and resources such as benefits, education, and employment. The expected benefits from having national talent, capacity, and capabilities to develop and deploy these systems also drive a lot of national governments to prioritize AI and digital policies. A crucial question for policymakers is how to reap the benefits while reducing the negative impacts of these sociotechnical systems on society.

Gabriela Ramos, Assistant Director-General for Social and Human Sciences of UNESCO, has written an article entitled “Ethics of AI and Democracy: UNESCO’s Recommendation’s Insights”. In her article, she discusses how artificial intelligence (AI) can affect democracy. The article discusses the ways in which Artificial Intelligence is affecting democratic processes, democratic values, and the political and social behavior of citizens. The article notes that the use of artificial intelligence, and its potential abuse by some government entities, as well as by big private corporations, poses a serious threat to rights-based democratic institutions, processes, and norms. UNESCO announced a remarkable consensus agreement among 193 member states creating the first-ever global standard on the ethics of AI that could serve as a blueprint for national AI legislation and a global AI ethics benchmark.

Paul Nemitz, Principal Adviser on Justice Policy at the EU Commission, addresses the question of what drives democracy. In his view, technology has undoubtedly shaped democracy. However, technology as well as legal rules regarding technology have shaped and have been shaped by democracy. This is why he says it is essential to develop and use technology according to democratic principles. He writes that there are libertarians today who purposefully design technological systems in such a way that challenges democratic control. It is, however, clear that there is enough counterpower and engagement, at least in Europe, to keep democracy functioning, as long as we work together to create rules that are sensible for democracy’s future and confirm democracy’s supremacy over technology and business interests.

Research associate at the University of Oxford and Professor at European University Cyprus, Paul Timmers, writes about how AI challenges sovereignty and democracy. AI is wonderful. AI is scary. AI is the path to paradise. AI is the path to hell.  What do we make of these contradictory images when, in a world of AI, we seek to both protect sovereignty and respect democratic values? Neither a techno-utopian nor a dystopian view of AI is helpful. The direction of travel must be global guidance and national or regional AI law that stresses end-to-end accountability and AI transparency, while recognizing practical and fundamental limits.

Tania Sourdin, Dean of Newcastle Law School, Australia, asks: what if judges were replaced by AI? She believes that although AI will increasingly be used to support judges when making decisions in most jurisdictions, there will also be attempts over the next decade to totally replace judges with AI. Increasingly, we are seeing a shift towards Judge AI, and to a certain extent we are seeing shifts towards supporting Judge AI, which raises concerns related to democratic values, structures, and what judicial independence means. The reason for this may be partly due to the systems used being set up to support a legal interpretation that fails to allow for a nuanced and contextual view of the law.

Pam Dixon, Executive Director of the World Privacy Forum, writes about biometric technologies. She says that biometric technologies encompass many types, or modalities, of biometrics today, such as face recognition, iris recognition, fingerprint recognition, and DNA recognition, both separately and in combination. A growing body of law and regulations seeks to mitigate the risks associated with biometric technologies as they are increasingly understood as a technology of concern based on scientific data.

We invite you to learn more about how our world is changing. As a way to honor this milestone, we have assembled a list of articles from around the world from some of the best experts in their field. This issue would not be possible without the assistance of many people. In addition to the contributing authors, there were many other individuals who contributed greatly. TPQ’s team is proud to present you with this edition….(More)” (Full list)”