Paper by Mirca Madianou: “Artificial intelligence (AI) applications have been introduced in humanitarian operations in order to help with the significant challenges the sector is facing. This article focuses on chatbots which have been proposed as an efficient method to improve communication with, and accountability to affected communities. Chatbots, together with other humanitarian AI applications such as biometrics, satellite imaging, predictive modelling and data visualisations, are often understood as part of the wider phenomenon of ‘AI for social good’. The article develops a decolonial critique of humanitarianism and critical algorithm studies which focuses on the power asymmetries underpinning both humanitarianism and AI. The article asks whether chatbots, as exemplars of ‘AI for good’, reproduce inequalities in the global context. Drawing on a mixed methods study that includes interviews with seven groups of stakeholders, the analysis observes that humanitarian chatbots do not fulfil claims such as ‘intelligence’. Yet AI applications still have powerful consequences. Apart from the risks associated with misinformation and data safeguarding, chatbots reduce communication to its barest instrumental forms which creates disconnects between affected communities and aid agencies. This disconnect is compounded by the extraction of value from data and experimentation with untested technologies. By reflecting the values of their designers and by asserting Eurocentric values in their programmed interactions, chatbots reproduce the coloniality of power. The article concludes that ‘AI for good’ is an ‘enchantment of technology’ that reworks the colonial legacies of humanitarianism whilst also occluding the power dynamics at play…(More)”.
Opportunities and challenges of using social media big data to assess mental health consequences of the COVID-19 crisis and future major events
Paper by Martin Tušl et al : “The present commentary discusses how social media big data could be used in mental health research to assess the impact of major global crises such as the COVID-19 pandemic. We first provide a brief overview of the COVID-19 situation and the challenges associated with the assessment of its global impact on mental health using conventional methods. We then propose social media big data as a possible unconventional data source, provide illustrative examples of previous studies, and discuss the advantages and challenges associated with their use for mental health research. We conclude that social media big data represent a valuable resource for mental health research, however, several methodological limitations and ethical concerns need to be addressed to ensure safe use…(More)”.
Expert Group to Eurostat releases its report on the re-use of privately-held data for Official Statistics
Blog by Stefaan Verhulst: “…To inform its efforts, Eurostat set up an expert group in 2021 on ‘Facilitating the use of new data sources for official statistics’ to reflect on opportunities offered by the data revolution to enhance the reuse of private sector data for official statistics”.
Data reuse is a particularly important area for exploration, both because of the potential it offers and because it is not sufficiently covered by current policies. Data reuse occurs when data collected for one purpose is shared and reused for another, often with resulting social benefit. Currently, this process is limited by a fragmented or outdated policy and regulatory framework, and often quite legitimate concerns over ethical challenges represented by sharing (e.g., threats to individual privacy).
Nonetheless, despite such hurdles, a wide variety of evidence supports the idea that responsible data reuse can strengthen and supplement official statistics, and potentially lead to lasting and positive social impact.
Having reviewed and deliberated about these issues over several months, the expert group issued its report this week entitled “Empowering society by reusing privately held data for official statistics”. It seeks to develop recommendations and a framework for sustainable data reuse in the production of official statistics. It highlights regulatory gaps, fragmentation of practices, and a lack of clarity regarding businesses’ rights and obligations, and it draws attention to the ways in which current efforts to reuse data have often led to ad-hoc, one-off projects rather than systematic transformation.
The report considers a wide variety of evidence, including historical, policy, and academic research, as well as the theoretical literature… (More)”.
Read the Eurostat report at: https://ec.europa.eu/eurostat/cros/content/read-final-report_en
We need smarter cities, not “smart cities”
Article by Riad Meddebarchive and Calum Handforth: “This more expansive concept of what a smart city is encompasses a wide range of urban innovations. Singapore, which is exploring high-tech approaches such as drone deliveries and virtual-reality modeling, is one type of smart city. Curitiba, Brazil—a pioneer of the bus rapid transit system—is another. Harare, the capital of Zimbabwe, with its passively cooled shopping center designed in 1996, is a smart city, as are the “sponge cities” across China that use nature-based solutions to manage rainfall and floodwater.
Where technology can play a role, it must be applied thoughtfully and holistically—taking into account the needs, realities, and aspirations of city residents. Guatemala City, in collaboration with our country office team at the UN Development Programme, is using this approach to improve how city infrastructure—including parks and lighting—is managed. The city is standardizing materials and designs to reduce costs and labor, and streamlining approval and allocation processes to increase the speed and quality of repairs and maintenance. Everything is driven by the needs of its citizens. Elsewhere in Latin America, cities are going beyond quantitative variables to take into account well-being and other nuanced outcomes.
In her 1961 book The Death and Life of Great American Cities, Jane Jacobs, the pioneering American urbanist, discussed the importance of sidewalks. In the context of the city, they are conduits for adventure, social interaction, and unexpected encounters—what Jacobs termed the “sidewalk ballet.” Just as literal sidewalks are crucial to the urban experience, so is the larger idea of connection between elements.
Truly smart cities recognize the ambiguity of lives and livelihoods, and they are driven by outcomes beyond the implementation of “solutions.”
However, too often we see “smart cities” focus on discrete deployments of technology rather than this connective tissue. We end up with cities defined by “use cases” or “platforms.” Practically speaking, the vision of a tech-centric city is conceptually, financially, and logistically out of reach for many places. This can lead officials and innovators to dismiss the city’s real and substantial potential to reduce poverty while enhancing inclusion and sustainability.
In our work at the UN Development Programme, we focus on the interplay between different components of a truly smart city—the community, the local government, and the private sector. We also explore the different assets made available by this broader definition: high-tech innovations, yes, but also low-cost, low-tech innovations and nature-based solutions. Big data, but also the qualitative, richer detail behind the data points. The connections and “sidewalks”—not just the use cases or pilot programs. We see our work as an attempt to start redefining smart cities and increasing the size, scope, and usefulness of our urban development tool kit…(More)”.
How football shirts chart the rise and fall of tech giants
Article by Ravi Hiranand and Leo Schwartz: “It’s the ultimate status symbol, a level of exposure achieved by few companies — but one available to any company that’s willing and able to pay a hefty price. It’s an honor that costs millions of dollars, and in return, your company’s logo is on the TV screens of millions of people every week.
Sponsoring a football club — proper football, that is — is more than just a business transaction. It’s about using the world’s most watched sport to promote your brand. Getting your company’s logo on the shirt of a team like Liverpool or Real Madrid means tying your brand to a global icon. And for decades, it’s been a route taken by emerging tech companies, flush with cash to burn and a name to earn.
But these sponsorships actually reveal something about the tech industry as a whole: when you trace the history of these commercial deals across the decades, patterns emerge. Rather than individual companies, entire sectors of the industry — from cars to consumer tech to gambling websites — seem to jump into the sport at once, signaling their rise to, or the desire to, dominate global markets where football is also part of everyday life. It’s no coincidence, for example, that mobile phone companies turned to sponsoring football clubs during the beginning of the new millenium: with handsets becoming increasingly common and 3G just around the corner, companies like Samsung and Vodafone wasted no time in paying record amounts to some of the most successful clubs in England.
Rest of World took a look at some of the more memorable shirt sponsorship deals in football — from Sony’s affiliation with Italy’s champions to Rakuten’s deal with a Spanish giant — and what they say about the rise and fall of the tech sectors those companies represented…(More)”.
Narrowing the data gap: World Bank and Microsoft commit to unlocking better development outcomes for persons with disabilities
Blog by Charlotte Vuyiswa McClain-Nhlapo, and Jenny Lay-Flurrie: “Across the world, persons with disabilities remain invisible in the global development agenda. One key reason is because of variances in the availability and use of disability-disaggregated data across organizations and borders.
While it is estimated that one billion people, or 15 percent of the world’s population, have a disability – more data is needed to understand the true scale of the living conditions and development outcomes for persons with disabilities, and to get clarity on the degree to which persons with disabilities continue to be underserved.
This reality is a part of what the World Bank calls the disability divide – the gap in societal inclusion for persons with disabilities in all stages of development programs, including education, employment and digital inclusion. The COVID-19 pandemic has exacerbated this risk and exposed some of the existing inequalities faced on a regular basis.
Many governments around the world use census data to understand a country’s socioeconomic situation and to allocate resources or consider policy to address the needs of its citizens. While every country is on their own journey to leverage data to inform policy and development outcomes, there is an opportunity to bring data on disability together for the global public good, so that groups can more accurately prioritize disability inclusion within global efforts.
In response to this challenge, the World Bank and Microsoft, in collaboration with the Disability Data Initiative at Fordham University, are partnering to expand both access to and the use of demographics and statistics data to ensure representation of disability, particularly in low- and middle-income countries. The goal of this effort is to develop a public facing, online “disability data hub” to offer information on persons with disabilities across populations, geographies and development indicators.
Principles for the development of the hub include:
- Engaging with the disability community to inform the creation of the hub and its offerings.
- Aligning with the United Nations Sustainable Development Goals, which require countries to disaggregate data by disability by 2030.
- Taking a holistic approach to data collection on disabilities, including collating and aggregating multiple data sources, such as national household surveys and censuses.
- Providing a user-friendly and accessible interface for a wide range of users.
- Offering data analysis and accessible visualization tools.
- Serving as a knowledge repository by publishing trends and country profiles, offering trainings and capacity building materials and linking to relevant partner resources on disability data disaggregation…(More)”.
Better Data Sharing for Benefits Delivery
Article by Chris Sadler and Claire Park: “Robust federal assistance programs and social services are essential to a thriving society. This is especially the case as people continue to contend with the fallout from the COVID-19 pandemic, which jeopardized livelihoods and put millions out of employment. Government benefits at the federal, state, and local level help people across the country pay for food, housing, health care, and other basic living expenses. But more work is required at the federal level to ensure that these benefits reach everyone in need. For instance, the historic $1.2 trillion Infrastructure Investment and Jobs Act signed into law last year included a $14.2 billion program called the Affordable Connectivity Program (ACP) to help qualifying low-income households pay for internet service. While the program is off to a strong start, improved data sharing between federal agencies, state and local governments, and institutions can leverage existing data from other benefits programs to streamline eligibility processes and ensure those who qualify receive the benefit. Expanding data sharing for benefits eligibility also aligns with one of the goals in the recent executive order to advance racial equity.
We discuss how data sharing could be improved, as well as other steps that the federal government can take to maximize the impact of this benefit on the digital divide. The solutions outlined here can be applied to both current and future programs that help people find housing, prepare children for school, and ensure everyone has enough to eat…(More)”.
What Happened to Consensus Reality?
Essay by Jon Askonas: “Do you feel that people you love and respect are going insane? That formerly serious thinkers or commentators are increasingly unhinged, willing to subscribe to wild speculations or even conspiracy theories? Do you feel that, even if there’s some blame to go around, it’s the people on the other side of the aisle who have truly lost their minds? Do you wonder how they can possibly be so blind? Do you feel bewildered by how absurd everything has gotten? Do many of your compatriots seem in some sense unintelligible to you? Do you still consider them your compatriots?
If you feel this way, you are not alone.
We have come a long way from the optimism of the 1990s and 2000s about how the Internet would usher in a new golden era, expanding the domain of the information society to the whole world, with democracy sure to follow. Now we hear that the Internet foments misinformation and erodes democracy. Yet as dire as these warnings are, they are usually followed with suggestions that with more scrutiny on tech CEOs, more aggressive content moderation, and more fact-checking, Americans might yet return to accepting the same model of reality. Last year, a New York Times article titled “How the Biden Administration Can Help Solve Our Reality Crisis” suggested creating a federal “reality czar.”
This is a fantasy. The breakup of consensus reality — a shared sense of facts, expectations, and concepts about the world — predates the rise of social media and is driven by much deeper economic and technological currents.
Postwar Americans enjoyed a world where the existence of an objective, knowable reality just seemed like common sense, where alternate facts belonged only to fringe realms of the deluded or deluding. But a shared sense of reality is not natural. It is the product of social institutions that were once so powerful they could hold together a shared picture of the world, but are now well along a path of decline. In the hope of maintaining their power, some have even begun to abandon the project of objectivity altogether.
Attempts to restore consensus reality by force — the current implicit project of the establishment — are doomed to failure. The only question now is how we will adapt our institutions to a life together where a shared picture of the world has been shattered.
This series aims to trace the forces that broke consensus reality. More than a history of the rise and fall of facts, these essays attempt to show a technological reordering of social reality unlike any before encountered, and an accompanying civilizational shift not seen in five hundred years…(More)”.
The modern malaise of innovation: overwhelm, complexity, and herding cats
Blog by Lucy Mason: “But the modern world is too complicated to innovate alone. Coming up with the idea is the easy bit: developing and implementing it inevitably involves navigating complex and choppy waters: multiple people, funding routes, personal agendas, legal complexity, and strategic fuzziness. All too often, great ideas fail to become reality not because the idea wouldn’t work, but because everything in the ecosystem seems (accidentally) designed to prevent it from working.
Given that innovation is a key Government priority, and so many organisations and people are dedicated to make it happen (such as Innovate UK), this lack of success seems odd. The problem does not lie with the R&D base: despite relative underinvestment by the UK Government the UK punches well above its weight in world-leading R&D. Being an entrepreneur is of course, hard work, high risk and prone to failure even for the most dedicated individuals. But are there particular features which inhibit how innovation is developed, scaled, implemented, and adopted in the UK? I would argue there are three key factors at play: overwhelm (too much), complexity (too vague), and ‘herding cats’ (too hard)…(More)”.
Unleashing the power of big data to guide precision medicine in China
Article by Yvaine Ye in Nature: “Precision medicine in China was given a boost in 2016 when the government included the field in its 13th five-year economic plan. The policy blueprint, which defined the country’s spending priorities until 2020, pledged to “spur innovation and industrial application” in precision medicine alongside other areas such as smart vehicles and new materials.
Precision medicine is part of the Healthy China 2030 plan, also launched in 2016. The idea is to use the approach to tackle some major health-care challenges the country faces, such as rising cancer rates and issues related to an ageing population. Current projections suggest that, by 2040, 28% of China’s population will be over 60 years old.
Following the announcement of the five-year plan, China’s Ministry of Science and Technology (MOST) launched a precision-medicine project as part of its National Key Research and Development Program. MOST has invested about 1.3 billion yuan (US$200.4 million) in more than 100 projects from 2016 to 2018. These range from finding new drug targets for chronic diseases such as diabetes to developing better sequencing technologies and building a dozen large population cohorts comprising hundreds of thousands of people from across China.
China’s population of 1.4 billion people means the country has great potential for using big data to study health issues, says Zhengming Chen, an epidemiologist and chronic-disease researcher at the University of Oxford, UK. “The advantage is especially prominent in the research of rare diseases, where you might not be able to have a data set in smaller countries like the United Kingdom, where only a handful of cases exist,” says Chen, who leads the China Kadoorie Biobank, a chronic-disease initiative that launched in 2004. It recruited more than 510,000 adults from 10 regions across China in its first 4 years, collecting data through questionnaires and by recording physical measurements and storing participants’ blood samples for future study. So far, the team has investigated whether some disease-related lifestyle factors that have been identified in the West apply to the Chinese population. They have just begun to dig into participants’ genetic data, says Chen.
Another big-data precision-medicine project launched in 2021, after Huijun Yuan, a physician who has been researching hereditary hearing loss for more than two decades, founded the Institute of Rare Diseases at West China Hospital in Chengdu, Sichuan province, in 2020. By 2025, the institute plans to set up a database of 100,000 people from China who have rare conditions, including spinal muscular atrophy and albinism. It will contain basic health information and data relating to biological samples, such as blood for gene sequencing. Rare diseases are hard to diagnose, because their incidences are low. But the development of technologies such as genetic testing and artificial intelligence driven by big data is providing a fresh approach to diagnosing these rare conditions, and could pave the way for therapies…(More)”.