Green Light


Google Research: “Road transportation is responsible for a significant amount of global and urban greenhouse gas emissions. It is especially problematic at city intersections where pollution can be 29 times higher than on open roads.  At intersections, half of these emissions come from traffic accelerating after stopping. While some amount of stop-and-go traffic is unavoidable, part of it is preventable through the optimization of traffic light timing configurations. To improve traffic light timing, cities need to either install costly hardware or run manual vehicle counts; both of these solutions are expensive and don’t provide all the necessary information. 

Green Light uses AI and Google Maps driving trends, with one of the strongest understandings of global road networks, to model traffic patterns and build intelligent recommendations for city traffic engineers to optimize traffic flow. Early numbers indicate a potential for up to 30% reduction in stops and 10% reduction in greenhouse gas emissions (1). By optimizing each intersection, and coordinating between adjacent intersections, we can create waves of green lights and help cities further reduce stop-and-go traffic. Green Light is now live in 70 intersections in 12 cities, 4 continents, from Haifa, Israel to Bangalore, India to Hamburg, Germany – and in these intersections we are able to save fuel and lower emissions for up to 30M car rides monthly. Green Light reflects Google Research’s commitment to use AI to address climate change and improve millions of lives in cities around the world…(More)”

Using Artificial Intelligence to Accelerate Collective Intelligence


Paper by Róbert Bjarnason, Dane Gambrell and Joshua Lanthier-Welch: “In an era characterized by rapid societal changes and complex challenges, institutions’ traditional methods of problem-solving in the public sector are increasingly proving inadequate. In this study, we present an innovative and effective model for how institutions can use artificial intelligence to enable groups of people to generate effective solutions to urgent problems more efficiently. We describe a proven collective intelligence method, called Smarter Crowdsourcing, which is designed to channel the collective intelligence of those with expertise about a problem into actionable solutions through crowdsourcing. Then we introduce Policy Synth, an innovative toolkit which leverages AI to make the Smarter Crowdsourcing problem-solving approach both more scalable, more effective and more efficient. Policy Synth is crafted using a human-centric approach, recognizing that AI is a tool to enhance human intelligence and creativity, not replace it. Based on a real-world case study comparing the results of expert crowdsourcing alone with expert sourcing supported by Policy Synth AI agents, we conclude that Smarter Crowdsourcing with Policy Synth presents an effective model for integrating the collective wisdom of human experts and the computational power of AI to enhance and scale up public problem-solving processes.

The potential for artificial intelligence to enhance the performance of groups of people has been a topic of great interest among scholars of collective intelligence. Though many AI toolkits exist, they too often are not fitted to the needs of institutions and policymakers. While many existing approaches view AI as a tool to make crowdsourcing and deliberative processes better and more efficient, Policy Synth goes a step further, recognizing that AI can also be used to synthesize the findings from engagements together with research to develop evidence-based solutions and policies. This study contributes significantly to the fields of collective intelligence, public problem-solving, and AI. The study offers practical tools and insights for institutions looking to engage communities effectively in addressing urgent societal challenges…(More)”

Blueprints for Learning


Report by the Data Foundation: “The Foundations for Evidence-Based Policymaking Act of 2018 (Evidence Act) required the creation of learning agendas for the largest federal agencies. These agendas outline how agencies will identify and answer priority questions through data and evidence-building activities. The Data Foundation undertook an analysis of the agendas to understand how they were developed and plans for implementation as part of the 5-Year milestone of the Evidence Act.

The analysis reveals both progress and areas for improvement in the development and use of learning agendas. All but one large agency produced a publicly-available learning agenda, demonstrating a significant initial effort. However, several challenges were identified:

  • Limited detail on execution and use: Many learning agendas lacked specifics on how the identified priority questions would be addressed or how the evidence generated would be used.
  • Variation in quality: Agencies diverged in the comprehensiveness and clarity of their agendas, with some providing more detailed plans than others.
  • Resource constraints: The analysis suggests that a lack of dedicated resources may be hindering some agencies’ capacity to fully implement their learning agendas…(More)”.

Liberated Public Services: A new vision for citizens, professionals and policy makers


Report by Demos: “The crisis in public services is visible to everyone in Britain today. Waiting lists, crumbling buildings, exhausted professionals. This is affecting our wellbeing, our health and our economy. It’s increasingly clear that Britain cannot get back on the right track without a public services renewal. The aim of Demos’ Future Public Services Taskforce is to help deliver that renewal.

In this paper, the second paper of the Taskforce, we introduce a new vision for public services, which we call liberated public services. This includes public services being liberated from New Public Management across four domains:

  • Citizens are liberated to bring their whole selves to services and seen as a resource to be worked with,
    not a problem to be fixed.
  • Professionals are liberated from tight specifications defined from the centre.
  • Communities are liberated to partner with public services, whether formally or informally.
  • Policy makers in central government – ministers, advisors and civil servants – are liberated from day-today micromanagement of services and providers to a broader, strategic role supporting learning and best
    practice.

Liberating public services will require the central state to think less about imposing a view from Whitehall and instead ask itself: how can it provide the conditions for public service renewal across the country?..(More)”.

close.city


About: “Proximity governs how we live, work, and socialize. Close is an interactive travel time map for people who want to be near the amenities that matter most to them. Close builds on two core principles:

  1. Different people will prioritize being near different amenities
  2. A neighborhood is only as accessible as its most distant important amenity

When you select multiple amenities in Close, the map shows the travel time to the furthest of those amenities. You can set your preferred travel mode to get to each amenity. Walking + Public Transit, Biking or Combined. Close is currently in public beta, with more features and destination types coming over the next few months. The reliability of destinations will continually improve as new data sources and user feedback are incorporated. Close is built and maintained by Henry Spatial Analysis. You can stay up-to-date on the latest improvements to Close by subscribing to the newsletter. How to use Close – Close includes travel time information for cities across the United States. To view a different location, select the search icon on the top left of the screen and enter a city or county name. To access map details, including a link to this About page, click the menu icon in the top left corner of the map…(More)”

Using ChatGPT for analytics


Paper by Aleksei Turobov et al: “The utilisation of AI-driven tools, notably ChatGPT (Generative Pre-trained Transformer), within academic research is increasingly debated from several perspectives including ease of implementation, and potential enhancements in research efficiency, as against ethical concerns and risks such as biases and unexplained AI operations. This paper explores the use of the GPT model for initial coding in qualitative thematic analysis using a sample of United Nations (UN) policy documents. The primary aim of this study is to contribute to the methodological discussion regarding the integration of AI tools, offering a practical guide to validation for using GPT as a collaborative research assistant. The paper outlines the advantages and limitations of this methodology and suggests strategies to mitigate risks. Emphasising the importance of transparency and reliability in employing GPT within research methodologies, this paper argues for a balanced use of AI in supported thematic analysis, highlighting its potential to elevate research efficacy and outcomes…(More)”.

Missions with Impact: A practical guide to formulating effective missions


Guide by the Bertelsmann Stiftung: “The complex challenges associated with sustainability transitions pose major problems for modern political systems and raise the question of whether new ways of negotiation, decision-making and implementation are needed to address these challenges. For example, given the broad-reaching effects of an issue like climate change on diverse aspects of daily life, policy fields and action areas, conventional solutions are unlikely to prove effective.

Mission orientation proves to be a promising approach for addressing cross-cutting thematic challenges. It involves formulating well-defined “missions” intended to direct innovation, economic activities and societal initiatives toward desired outcomes. These missions aim for transformational change, targeting fundamental shifts that extend beyond the usual political timelines to ensure enduring impact. Across several OECD countries and at the EU level, initiatives embracing a mission-oriented approach are gaining momentum. For instance, the EU’s mission of “100 climate-neutral cities” exemplifies this approach by exploring new pathways to achieve climate neutrality by 2030. Here, stakeholders from diverse sectors can get involved to help generate effective solutions targeting the objective of climate neutrality…(More)”.

Seeing Like a Data Structure


Essay by Barath Raghavan and Bruce Schneier: “Technology was once simply a tool—and a small one at that—used to amplify human intent and capacity. That was the story of the industrial revolution: we could control nature and build large, complex human societies, and the more we employed and mastered technology, the better things got. We don’t live in that world anymore. Not only has technology become entangled with the structure of society, but we also can no longer see the world around us without it. The separation is gone, and the control we thought we once had has revealed itself as a mirage. We’re in a transitional period of history right now.

We tell ourselves stories about technology and society every day. Those stories shape how we use and develop new technologies as well as the new stories and uses that will come with it. They determine who’s in charge, who benefits, who’s to blame, and what it all means.

Some people are excited about the emerging technologies poised to remake society. Others are hoping for us to see this as folly and adopt simpler, less tech-centric ways of living. And many feel that they have little understanding of what is happening and even less say in the matter.

But we never had total control of technology in the first place, nor is there a pretechnological golden age to which we can return. The truth is that our data-centric way of seeing the world isn’t serving us well. We need to tease out a third option. To do so, we first need to understand how we got here…(More)”

Training new teachers with digital simulations


Report by the Susan McKinnon Foundation: “This report shows the findings of a rapid review of the global literature on immersive simulation for teacher preparation. It finds that immersive digital simulations – and corresponding supports – can create significant positive shifts in trainee teacher skills, knowledge, and self-efficacy. The evidence is strong; of the 35 articles in our review, 30 studies show positive improvements in trainee teacher outcomes. The 30 studies showing positive effects include studies with rigorous designs, including a comprehensive systematic review with many well designed randomised controlled studies (the ‘gold standard’ of research). Benefits are seen across a range of teaching skills, from classroom management and teaching instruction through to better communication skills with parents and colleagues.


Six active ingredients in the implementation of digital simulations are important. This includes incorporating opportunities for: [1] instructional coaching, [2] feedback, [3] observation, [4] visual examples or models of best practice, [5] high dosage, that is, practicing many times over and [6]
strong underpinning theory and content… (More)”.

LOGIC: Good Practice Principles for Mainstreaming Behavioural Public Policy


OECD Report: “This report outlines good practice principles intended to encourage the incorporation of behavioural perspectives as part of standard policymaking practice in government and governmental organisations. Evidence from the behavioural sciences is potentially transformative in many areas of government policy and administration. The 14 good practice principles, organised into five dimensions, present a guide to the consistent production and application of useful behavioural science evidence. Governments and governmental organisations looking to mainstream behavioural public policy may use the good practice principles and case studies included in this report to assess their current policy systems and develop strategies to further improve them…(More)”