Book by Rob Walker: “The world is rapidly urbanizing, and experts predict that up to 80 percent of the population will live in cities by 2050. To accommodate that growth while ensuring quality of life for all residents, cities are increasingly turning to technology. From apps that make it easier for citizens to pitch in on civic improvement projects to comprehensive plans for smarter streets and neighborhoods, new tools and approaches are taking root across the United States and around the world. In this thoughtful, inquisitive collection, Rob Walker—former New York Times columnist and author of the City Tech column for Land Lines magazine—investigates the new technologies afoot and their implications for planners, policymakers, residents, and the virtual and literal landscapes of the cities we call home…(More)”
Emerging technologies in the humanitarian sector
Report and project by Rand: “Emerging technologies have often been explored in the humanitarian sector through small scale pilot projects, testing their application in a specific context with limited opportunities to replicate the testing across various contexts. The level of familiarity and knowledge of technological development varies across the specific types of humanitarian activities undertaken and technology areas considered.
The study team identified five promising technology areas for the humanitarian sector that could be further explored out to 2030:
- Advanced manufacturing systems are likely to offer humanitarians opportunities to produce resources and tools in an operating environment characterised by scarcity, the rise of simultaneous crises, and exposure to more intense and severe climate events.
- Early Warning Systems are likely to support preparedness and response efforts across the humanitarian sector while multifactorial crises are likely to arise.
- Camp monitoring systems are likely to support efforts not only to address security risks, but also support planning and management activities of sites or the health and wellbeing of displaced populations.
- Coordination platforms are likely to enhance data collection and information-sharing across various humanitarian stakeholders for the development of timely and bespoke crisis response.
- Privacy-enhancing technologies (PETs) can support ongoing efforts to comply with increased data privacy and data protection requirements in a humanitarian operating environment in which data collection will remain necessary.
Beyond these five technology areas, the study team also considered three innovation journey opportunities:
- The establishment of a technology horizon scanning coalition
- Visioning for emerging technologies in crisis recovery
- An emerging technology narrative initiative.
To accompany the deployment of specific technologies in the humanitarian sector, the study team also developed a four-step approach aimed to identify specific guidance needs for end-users and humanitarian practitioners…(More)”.
Tech Agnostic
Book by Greg Epstein: “…Today’s technology has overtaken religion as the chief influence on twenty-first century life and community. In Tech Agnostic, Harvard and MIT’s influential humanist chaplain Greg Epstein explores what it means to be a critical thinker with respect to this new faith. Encouraging readers to reassert their common humanity beyond the seductive sheen of “tech,” this book argues for tech agnosticism—not worship—as a way of life. Without suggesting we return to a mythical pre-tech past, Epstein shows why we must maintain a freethinking critical perspective toward innovation until it proves itself worthy of our faith or not.
Epstein asks probing questions that center humanity at the heart of engineering: Who profits from an uncritical faith in technology? How can we remedy technology’s problems while retaining its benefits? Showing how unbelief has always served humanity, Epstein revisits the historical apostates, skeptics, mystics, Cassandras, heretics, and whistleblowers who embody the tech reformation we desperately need. He argues that we must learn how to collectively demand that technology serve our pursuit of human lives that are deeply worth living…(More)”.
It is about time! Exploring the clashing timeframes of politics and public policy experiments
Paper by Ringa Raudla, Külli Sarapuu, Johanna Vallistu, and Nastassia Harbuzova: “Although existing studies on experimental policymaking have acknowledged the importance of the political setting in which policy experiments take place, we lack systematic knowledge on how various political dimensions affect experimental policymaking. In this article, we address a specific gap in the existing understanding of the politics of experimentation: how political timeframes influence experimental policymaking. Drawing on theoretical discussions on experimental policymaking, public policy, electoral politics, and mediatization of politics, we outline expectations about how electoral and problem cycles may influence the timing, design, and learning from policy experiments. We argue electoral timeframes are likely to discourage politicians from undertaking large-scale policy experiments and if politicians decide to launch experiments, they prefer shorter designs. The electoral cycle may lead politicians to draw too hasty conclusions or ignore the experiment’s results altogether. We expect problem cycles to shorten politicians’ time horizons further as there is pressure to solve problems quickly. We probe the plausibility of our theoretical expectations using interview data from two different country contexts: Estonia and Finland…(More)“.
Discounting the Future: The Ascendency of a Political Technology
Book by Liliana Doganova: “Forest fires, droughts, and rising sea levels beg a nagging question: have we lost our capacity to act on the future? Liliana Doganova’s book sheds new light on this anxious query. It argues that our relationship to the future has been trapped in the gears of a device called discounting. While its incidence remains little known, discounting has long been entrenched in market and policy practices, shaping the ways firms and governments look to the future and make decisions accordingly. Thus, a sociological account of discounting formulas has become urgent.
Discounting means valuing things through the flows of costs and benefits that they are likely to generate in the future, with these future flows being literally dis-counted as they are translated in the present. How have we come to think of the future, and of valuation, in such terms? Building on original empirical research in the historical sociology of discounting, Doganova takes us to some of the sites and moments in which discounting took shape and gained momentum: valuation of European forests in the eighteenth and nineteenth centuries; economic theories devised in the early 1900s; debates over business strategies in the postwar era; investor-state disputes over the nationalization of natural resources; and drug development in the biopharmaceutical industry today. Weaving these threads together, the book pleads for an understanding of discounting as a political technology, and of the future as a contested domain…(More)”
We’ve Got a Big Problem
Blog by Daro: “There is a problem related to how we effectively help people receiving social services and public benefit programs. It’s a problem that we have been thinking, talking, and writing about for years. It’s a problem that once you see it, you can’t unsee it. It’s also a problem that you’re likely familiar with, whether you have direct experience with the dynamics themselves, or you’ve been frustrated by how these dynamics impact your work. In February, we organized a convening at Georgetown University in collaboration with Georgetown’s Massive Data Institute to discuss how so many of us can be frustrated by the same problem but haven’t been able to really make any headway toward a solution.
For as long as social services have existed, people have been trying to understand how to manage and evaluate those services. How do we determine what to scale and what to change? How do we replicate successes and how do we minimize unsuccessful interventions? To answer these questions we have tried to create, use, and share evidence about these programs to inform our decision-making. However – and this is a big however – despite our collective efforts, we have difficulty determining whether there’s been an increase in using evidence, or most importantly, whether there’s actually been an improvement in the quality and impact of social services and public benefit programs…(More)”.
Behavioural science: could supermarket loyalty cards nudge us to make healthier choices?
Article by Magda Osman: “Ken Murphy, CEO of the British multinational supermarket chain Tesco, recently said at a conference that Tesco “could use Clubcard data to nudge customers towards healthier choices”.
So how would this work, and do we want it? Our recent study, published in the Scientific Journal of Research and Reviews, provides an answer.
Loyalty schemes have been around as far back as the 1980s, with the introduction of airlines’ frequent flyer programmes.
Advancements in loyalty schemes have been huge, with some even using gamified approaches, such as leaderboards, trophies and treasure hunts, to keep us engaged. The loyalty principle relies on a form of social exchange, namely reciprocity.
The ongoing reciprocal relationship means that we use a good or service regularly because we trust the service provider, we are satisfied with the service, and we deem the rewards we get as reasonable – be they discounts, vouchers or gifts.
In exchange, we accept that, in many cases, loyalty schemes collect data on us. Our purchasing history, often tied to our demographics, generates improvements in the delivery of the service.
If we accept this, then we continue to benefit from reward schemes, such as promotional offers or other discounts. The effectiveness depends not only on making attractive offers to us for things we are interested in purchasing, but also other discounted items that we hadn’t considered buying…(More)”
Social Systems Evidence
About: “…a continuously updated repository of syntheses of research evidence about the programs, services and products available in a broad range of government sectors and program areas (e.g., climate action, community and social services, economic development and growth, education, environmental conservation, education, housing and transportation) as well as the governance, financial and delivery arrangements within which these programs, services and products are provided, and the implementation strategies that can help to ensure that these programs, services and products get to those who need them.
The content covers the Sustainable Development Goals, with the exceptions of the health part of goal 3 (which is already well covered by existing databases).
The types of syntheses include evidence briefs for policy, overviews of evidence syntheses, evidence syntheses addressing questions about effectiveness, evidence syntheses addressing other types of questions, evidence syntheses in progress (i.e., protocols for evidence syntheses), and evidence syntheses being planned (i.e., registered titles for evidence syntheses). Social Systems Evidence also contains a continuously updated repository of economic evaluations in these same domains…(More)”
Artificial Intelligence for Social Innovation: Beyond the Noise of Algorithms and Datafication
Paper by Igor Calzada: “In an era of rapid technological advancement, decisions about the ownership and governance of emerging technologies like Artificial Intelligence will shape the future of both urban and rural environments in the Global North and South. This article explores how AI can move beyond the noise of algorithms by adopting a technological humanistic approach to enable Social Innovation, focusing on global inequalities and digital justice. Using a fieldwork Action Research methodology, based on the Smart Rural Communities project in Colombia and Mozambique, the study develops a framework for integrating AI with SI. Drawing on insights from the AI4SI International Summer School held in Donostia-San Sebastián in 2024, the article examines the role of decentralized Web3 technologies—such as Blockchain, Decentralized Autonomous Organizations, and Data Cooperatives—in enhancing data sovereignty and fostering inclusive and participatory governance. The results demonstrate how decentralization can empower marginalized communities in the Global South by promoting digital justice and addressing the imbalance of power in digital ecosystems. The conclusion emphasizes the potential for AI and decentralized technologies to bridge the digital divide, offering practical recommendations for scaling these innovations to support equitable, community-driven governance and address systemic inequalities across the Global North and South…(More)”.
How Generative AI Content Could Influence the U.S. Election
Article by Valerie Wirtschafter: “…The contested nature of the presidential race means such efforts will undoubtedly continue, but they likely will remain discoverable, and their reach and ability to shape election outcomes will be minimal. Instead, the most meaningful uses of generative AI content could occur in highly targeted scenarios just prior to the election and/or in a contentious post-election environment where experience has demonstrated that potential “evidence” of malfeasance need not be true to mobilize a small subset of believers to act.
Because U.S. elections are managed at the state and county levels, low-level actors in some swing precincts or counties are catapulted to the national spotlight every four years. Since these actors are not well known to the public, targeted and personal AI-generated content can cause significant harm. Before the election, this type of fabricated content could take the form of a last-minute phone call by someone claiming to be election worker alerting voters to an issue at their polling place.
After the election, it could become harassment of election officials or “evidence” of foul play. Due to the localized and personalized nature of this type of effort, it could be less rapidly discoverable for unknown figures not regularly in the public eye, difficult to debunk or prevent with existing tools and guardrails, and damaging to reputations. This tailored approach need not be driven by domestic actors—in fact, in the lead up to the 2020 elections, Iranian actors pretended to be members of the Proud Boys and sent threatening emails to Democratic voters in select states demanding they vote for Donald Trump. Although election officials have worked tirelessly to brace for this possibility, they are correct to be on guard…(More)”