Determinants of behaviour and their efficacy as targets of behavioural change interventions


Paper with Dolores Albarracín, Bita Fayaz-Farkhad & Javier A. Granados Samayoa: “Unprecedented social, environmental, political and economic challenges — such as pandemics and epidemics, environmental degradation and community violence — require taking stock of how to promote behaviours that benefit individuals and society at large. In this Review, we synthesize multidisciplinary meta-analyses of the individual and social-structural determinants of behaviour (for example, beliefs and norms, respectively) and the efficacy of behavioural change interventions that target them. We find that, across domains, interventions designed to change individual determinants can be ordered by increasing impact as those targeting knowledge, general skills, general attitudes, beliefs, emotions, behavioural skills, behavioural attitudes and habits. Interventions designed to change social-structural determinants can be ordered by increasing impact as legal and administrative sanctions; programmes that increase institutional trustworthiness; interventions to change injunctive norms; monitors and reminders; descriptive norm interventions; material incentives; social support provision; and policies that increase access to a particular behaviour. We find similar patterns for health and environmental behavioural change specifically. Thus, policymakers should focus on interventions that enable individuals to circumvent obstacles to enacting desirable behaviours rather than targeting salient but ineffective determinants of behaviour such as knowledge and beliefs…(More)”.

Toward a Polycentric or Distributed Approach to Artificial Intelligence & Science


Article by Stefaan Verhulst: “Even as enthusiasm grows over the potential of artificial intelligence (AI), concerns have arisen in equal measure about a possible domination of the field by Big Tech. Such an outcome would replicate many of the mistakes of preceding decades, when a handful of companies accumulated unprecedented market power and often acted as de facto regulators in the global digital ecosystem. In response, the European Group of Chief Scientific Advisors has recently proposed establishing a “state-of-the-art facility for academic research,” to be called the European Distributed Institute for AI in Science (EDIRAS). According to the Group, the facility would be modeled on Geneva’s high-energy physics lab, CERN, with the goal of creating a “CERN for AI” to counterbalance the growing AI prowess of the US and China. 

While the comparison to CERN is flawed in some respects–see below–the overall emphasis on a distributed, decentralized approach to AI is highly commendable. In what follows, we outline three key areas where such an approach can help advance the field. These areas–access to computational resources, access to high quality data, and access to purposeful modeling–represent three current pain points (“friction”) in the AI ecosystem. Addressing them through a distributed approach can not only help address the immediate challenges, but more generally advance the cause of open science and ensure that AI and data serve the broader public interest…(More)”.

Access to Public Information, Open Data, and Personal Data Protection: How do they dialogue with each other?


Report by Open Data Charter and Civic Compass: “In this study, we aim to examine data protection policies in the European Union and Latin America juxtaposed with initiatives concerning open government data and access to public information. We analyse the regulatory landscape, international rankings, and commitments about each right in four countries from each region to achieve this. Additionally, we explore how these institutions interact with one another, considering their respective stances while delving into existing tensions and exploring possibilities for achieving a balanced approach…(More)”.

Middle Tech: Software Work and the Culture of Good Enough


Book by Paula Bialski: “Contrary to much of the popular discourse, not all technology is seamless and awesome; some of it is simply “good enough.” In Middle Tech, Paula Bialski offers an ethnographic study of software developers at a non-flashy, non-start-up corporate tech company. Their stories reveal why software isn’t perfect and how developers communicate, care, and compromise to make software work—or at least work until the next update. Exploring the culture of good enoughness at a technology firm she calls “MiddleTech,” Bialski shows how doing good-enough work is a collectively negotiated resistance to the organizational ideology found in corporate software settings.

The truth, Bialski reminds us, is that technology breaks due to human-related issues: staff cutbacks cause media platforms to crash, in-car GPS systems cause catastrophic incidents, and chatbots can be weird. Developers must often labor to patch and repair legacy systems rather than dream up killer apps. Bialski presents a less sensationalist, more empirical portrait of technology work than the frequently told Silicon Valley narratives of disruption and innovation. She finds that software engineers at MiddleTech regard technology as an ephemeral object that only needs to be good enough to function until its next iteration. As a result, they don’t feel much pressure to make it perfect. Through the deeply personal stories of people and their practices at MiddleTech, Bialski traces the ways that workers create and sustain a complex culture of good enoughness…(More)”

How the war on drunk driving was won


Blog by Nick Cowen: “…Viewed from the 1960s it might have seemed like ending drunk driving would be impossible. Even in the 1980s, the movement seemed unlikely to succeed and many researchers questioned whether it constituted a social problem at all.

Yet things did change: in 1980, 1,450 fatalities were attributed to drunk driving accidents in the UK. In 2020, there were 220. Road deaths in general declined much more slowly, from around 6,000 in 1980 to 1,500 in 2020. Drunk driving fatalities dropped overall and as a percentage of all road deaths.

The same thing happened in the United States, though not to quite the same extent. In 1980, there were around 28,000 drunk driving deaths there, while in 2020, there were 11,654. Despite this progress, drunk driving remains a substantial public threat, comparable in scale to homicide (of which in 2020 there were 594 in Britain and 21,570 in America).

Of course, many things have happened in the last 40 years that contributed to this reduction. Vehicles are better designed to prioritize life preservation in the event of a collision. Emergency hospital care has improved so that people are more likely to survive serious injuries from car accidents. But, above all, driving while drunk has become stigmatized.

This stigma didn’t come from nowhere. Governments across the Western world, along with many civil society organizations, engaged in hard-hitting education campaigns about the risks of drunk driving. And they didn’t just talk. Tens of thousands of people faced criminal sanctions, and many were even put in jail.

Two underappreciated ideas stick out from this experience. First, deterrence works: incentives matter to offenders much more than many scholars found initially plausible. Second, the long-run impact that successful criminal justice interventions have is not primarily in rehabilitation, incapacitation, or even deterrence, but in altering the social norms around acceptable behavior…(More)”.

AI-enabled Peacekeeping Tech for the Digital Age


Springwise: “There are countless organisations and government agencies working to resolve conflicts around the globe, but they often lack the tools to know if they are making the right decisions. Project Didi is developing those technological tools – helping peacemakers plan appropriately and understand the impact of their actions in real time.

Project Didi Co-founder and CCO Gabe Freund explained to Springwise that the project uses machine learning, big data, and AI to analyse conflicts and “establish a new standard for best practice when it comes to decision-making in the world of peacebuilding.”

In essence, the company is attempting to analyse the many factors that are involved in conflict in order to identify a ‘ripe moment’ when both parties will be willing to negotiate for peace. The tools can track the impact and effect of all actors across a conflict. This allows them to identify and create connections between organisations and people who are doing similar work, amplifying their effects…(More)” See also: Project Didi (Kluz Prize)

When Online Content Disappears


Pew Research: “The internet is an unimaginably vast repository of modern life, with hundreds of billions of indexed webpages. But even as users across the world rely on the web to access books, images, news articles and other resources, this content sometimes disappears from view…

  • A quarter of all webpages that existed at one point between 2013 and 2023 are no longer accessible, as of October 2023. In most cases, this is because an individual page was deleted or removed on an otherwise functional website.
A line chart showing that 38% of webpages from 2013 are no longer accessible
  • For older content, this trend is even starker. Some 38% of webpages that existed in 2013 are not available today, compared with 8% of pages that existed in 2023.

This “digital decay” occurs in many different online spaces. We examined the links that appear on government and news websites, as well as in the “References” section of Wikipedia pages as of spring 2023. This analysis found that:

  • 23% of news webpages contain at least one broken link, as do 21% of webpages from government sites. News sites with a high level of site traffic and those with less are about equally likely to contain broken links. Local-level government webpages (those belonging to city governments) are especially likely to have broken links.
  • 54% of Wikipedia pages contain at least one link in their “References” section that points to a page that no longer exists...(More)”.

Defining AI incidents and related terms


OECD Report: “As AI use grows, so do its benefits and risks. These risks can lead to actual harms (“AI incidents”) or potential dangers (“AI hazards”). Clear definitions are essential for managing and preventing these risks. This report proposes definitions for AI incidents and related terms. These definitions aim to foster international interoperability while providing flexibility for jurisdictions to determine the scope of AI incidents and hazards they wish to address…(More)”.

Multiple Streams and Policy Ambiguity


Book by Rob A. DeLeo, Reimut Zohlnhöfer and Nikolaos Zahariadis: “The last decade has seen a proliferation of research bolstering the theoretical and methodological rigor of the Multiple Streams Framework (MSF), one of the most prolific theories of agenda-setting and policy change. This Element sets out to address some of the most prominent criticisms of the theory, including the lack of empirical research and the inconsistent operationalization of key concepts, by developing the first comprehensive guide for conducting MSF research. It begins by introducing the MSF, including key theoretical constructs and hypotheses. It then presents the most important theoretical extensions of the framework and articulates a series of best practices for operationalizing, measuring, and analyzing MSF concepts. It closes by exploring existing gaps in MSF research and articulating fruitful areas of future research…(More)”.

How Open-Source Software Empowers Nonprofits And The Global Communities They Serve


Article by Steve Francis: “One particular area where this challenge is evident is climate. Thousands of nonprofits strive to address the effects of a changing climate and its impact on communities worldwide. Headlines often go to big organizations doing high-profile work (planting trees, for instance) in well-known places. Money goes to large-scale commercial agriculture or new technologies — because that’s where profits are most easily made. But thousands of other communities of small farmers that aren’t as visible or profitable need help too. These communities come together to tackle a number of interrelated problems: climate, soil health and productivity, biodiversity and human health and welfare. They envision a more sustainable future.

The reality is that software is crafted to meet market needs, but these communities don’t represent a profitable market. Every major industry has its own software applications and a network of consultants to tune that software for optimal performance. A farm cooperative in less developed parts of the world seeking to maximize value for sustainably harvested produce faces very different challenges than do any of these business users. Often they need to collect and manipulate data in the field, on whatever mobile device they have, with little or no connectivity. Modern software systems are rarely designed to operate in such an environment; they assume the latest devices and continuous connectivity…(More)”.