Illuminating Lived Experience


Lab Note from the Sydney Policy Lab: “The lived experiences of people involved in care – from informal and formal care workers to the people they support – is foundational to the Australia Cares project. To learn from the ways people with lived experience are included in co-design and research methods, the Sydney Policy Lab initiated reflective research that has resulted in a Lab Note on Illuminating Lived Experience (pdf, 1MB).

Through a series of interviews, dialogues and collaborative writing processes, co-authors explored tensions between different approaches and core concepts underpinning lived experience methods and shared examples of those methods in practice.

Illuminating Lived Experience poses questions that may help guide researchers and policymakers seeking to engage people with lived experience and three core principles we believe are required for such engagements.

The Lab Note aims to encourage researchers to be creative in the ways co-design and lived experience are approached while being true to the critical roots of participatory methodologies. Rather than prescribing methods, the principles and practices developed are offered as a guide – a starting point for play…(More)”

The 4M Roadmap: A Higher Road to Profitability by Using Big Data for Social Good


Report by Brennan Lake: “As the private sector faces conflicting pressures to either embrace or shun socially responsible practices, companies with privately held big-data assets must decide whether to share access to their data for public good. While some managers object to data sharing over concerns of privacy and product cannibalization, others launch well intentioned yet short-lived CSR projects that fail to deliver on lofty goals.

By embedding Shared-Value principles into ‘Data-for-Good’ programs, data-rich firms can launch responsible data-sharing initiatives that minimize risk, deliver sustained impact, and improve overall competitiveness in the process.

The 4M Roadmap by Brennan Lake, a Big-Data and Social Impact professional, guides managers to adopt a ‘Data-for-Good’ model that emphasizes four key pillars of value-creation: Mission, Messaging, Methods, and Monetization. Through deep analysis and private-sector case studies, The 4M Roadmap demonstrates how companies can engage in responsible data sharing to benefit society and business alike…(More)”.

Preparing Researchers for an Era of Freer Information


Article by Peter W.B. Phillips: “If you Google my name along with “Monsanto,” you will find a series of allegations from 2013 that my scholarly work at the University of Saskatchewan, focused on technological change in the global food system, had been unduly influenced by corporations. The allegations made use of seven freedom of information (FOI) requests. Although leadership at my university determined that my publications were consistent with university policy, the ensuing media attention, I feel, has led some colleagues, students, and partners to distance themselves to avoid being implicated by association.

In the years since, I’ve realized that my experience is not unique. I have communicated with other academics who have experienced similar FOI requests related to genetically modified organisms in the United States, Canada, England, Netherlands, and Brazil. And my field is not the only one affected: a 2015 Union of Concerned Scientists report documented requests in multiple states and disciplines—from history to climate science to epidemiology—as well as across ideologies. In the University of California system alone, researchers have received open records requests related to research on the health effects of toxic chemicals, the safety of abortions performed by clinicians rather than doctors, and the green energy production infrastructure. These requests are made possible by laws that permit anyone, for any reason, to gain access to public agencies’ records.

These open records campaigns, which are conducted by individuals and groups across the political spectrum, arise in part from the confluence of two unrelated phenomena: the changing nature of academic research toward more translational, interdisciplinary, and/or team-based investigations and the push for more transparency in taxpayer-funded institutions. Neither phenomenon is inherently negative; in fact, there are strong advantages for science and society in both trends. But problems arise when scholars are caught between them—affecting the individuals involved and potentially influencing the ongoing conduct of research…(More)”

Exploring Visitor Density Trends in Rest Areas Through Google Maps Data and Data Mining


Paper by Marita Prasetyani, R. Rizal Isnanto and Catur Edi Widodo: “Rest areas play a vital role in ensuring the safety and comfort of travelers. This study examines the visitor density at the toll and non-toll rest areas using data mining techniques applied to Google Maps Places data. By utilizing extensive information from Google Maps, the research aims to uncover patterns and trends in visitor behavior and pinpoint peak usage times. The findings can guide improved planning and management of rest areas, thereby enhancing the overall travel experience for road users and further research to determine the location of the new rest area.Understanding patterns or trends in visitor density at rest areas involves analyzing the time of day, location, and other factors influencing the density level. Understanding these trends can provide essential insights for rest area management, infrastructure planning, and the establishment of new rest areas.Data from Google Maps provides an invaluable source of real-time and historical information, enabling accurate and in-depth analysis of visitor behavior.Data mining helps identify relationships not immediately apparent in the data, providing a deeper understanding and supporting data-driven decision-making…(More)”.

Top 10 Emerging Technologies to Address Global Challenges


World Economic Forum: “The Top 10 Emerging Technologies of 2024 are:

  • 1. AI for scientific discovery: While artificial intelligence (AI) has been used in research for many years, advances in deep learning, generative AI and foundation models are revolutionizing the scientific discovery process. AI will enable researchers to make unprecedented connections and advancements in understanding diseases, proposing new materials, and enhancing knowledge of the human body and mind​​.
  • 2. Privacy-enhancing technologies: Protecting personal privacy while providing new opportunities for global data sharing and collaboration, “synthetic data” is set to transform how information is handled with powerful applications in health-related research.
  • 3. Reconfigurable intelligent surfaces: These innovative surfaces turn ordinary walls and surfaces into intelligent components for wireless communication while enhancing energy efficiency in wireless networks. They hold promise for numerous applications, from smart factories to vehicular networks​​.
  • 4. High-altitude platform stations: Using aircraft, blimps and balloons, these systems can extend mobile network access to remote regions, helping bridge the digital divide for over 2.6 billion people worldwide​​.
  • 5. Integrated sensing and communication: The advent of 6G networks facilitates simultaneous data collection (sensing) and transmission (communication). This enables environmental monitoring systems that help in smart agriculture, environmental conservation and urban planning. Integrated sensing and communication devices also promise to reduce energy and silicon consumption.
  • 6. Immersive technology for the built world: Combining computing power with virtual and augmented reality, these technologies promise rapid improvements in infrastructure and daily systems​. This technology allows designers and construction professionals to check for correspondence between physical and digital models, ensuring accuracy and safety and advancing sustainability.
  • 7. Elastocalorics: As global temperatures rise, the need for cooling solutions is set to soar. Offering higher efficiency and lower energy use, elastocalorics release and absorb heat under mechanical stress, presenting a sustainable alternative to current technologies.
  • 8. Carbon-capturing microbes: Engineered organisms convert emissions into valuable products like biofuels, providing a promising approach to mitigating climate change.
  • 9. Alternative livestock feeds: protein feeds for livestock sourced from single-cell proteins, algae and food waste could offer a sustainable solution for the agricultural industry.
  • 10. Genomics for transplants: The successful implantation of genetically engineered organs into a human marks a significant advancement in healthcare, offering hope to millions awaiting transplants​​…(More)”.

Mission Driven Bureaucrats: Empowering People To Help Government Do Better


Book by Dan Honig: “…argues that the performance of our governments can be transformed by managing bureaucrats for their empowerment rather than for compliance. Aimed at public sector workers, leaders, academics, and citizens alike, it contends that public sectors too often rely on a managerial approach that seeks to tightly monitor and control employees, and thus demotivates and repels the mission-motivated. The book suggests that better performance can in many cases come from a more empowerment-oriented managerial approach—which allows autonomy, cultivates feelings of competence, and creates connection to peers and purpose—which allows the mission-motivated to thrive. Arguing against conventional wisdom, the volume argues that compliance often thwarts, rather than enhances, public value—and that we can often get less corruption and malfeasance with less monitoring. It provides a handbook of strategies for managers to introduce empowerment-oriented strategies into their agency. It also describes what everyday citizens can do to support the empowerment of bureaucrats in their governments. Interspersed throughout this book are featured profiles of real-life Mission Driven Bureaucrats, who exemplify the dedication and motivation that is typical of many civil servants. Drawing on original empirical data from a number of countries and the prior work of other scholars from around the globe, the volume argues that empowerment-oriented management and how to cultivate, support, attract, and retain Mission Driven Bureaucrats should have a larger place in our thinking and practice…(More)”.

Governance in silico: Experimental sandbox for policymaking over AI Agents


Paper by Denisa Reshef Keraa, Eilat Navonb and Galit Well: “The concept of ‘governance in silico’ summarizes and questions the various design and policy experiments with synthetic data and content in public policy, such as synthetic data simulations, AI agents, and digital twins. While it acknowledges the risks of AI-generated hallucinations, errors, and biases, often reflected in the parameters and weights of the ML models, it focuses on the prompts. Prompts enable stakeholder negotiation and representation of diverse agendas and perspectives that support experimental and inclusive policymaking. To explore the prompts’ engagement qualities, we conducted a pilot study on co-designing AI agents for negotiating contested aspects of the EU Artificial Intelligence Act (EU AI Act). The experiments highlight the value of an ‘exploratory sandbox’ approach, which fosters political agency through direct representation over AI agent simulations. We conclude that such ‘governance in silico’ exploratory approach enhances public consultation and engagement and presents a valuable alternative to the frequently overstated promises of evidence-based policy…(More)”.

Connecting the dots: AI is eating the web that enabled it


Article by Tom Wheeler: “The large language models (LLMs) of generative AI that scraped their training data from websites are now using that data to eliminate the need to go to many of those same websites. Respected digital commentator Casey Newton concluded, “the web is entering a state of managed decline.” The Washington Post headline was more dire: “Web publishers brace for carnage as Google adds AI answers.”…

Created by Sir Tim Berners-Lee in 1989, the World Wide Web redefined the nature of the internet into a user-friendly linkage of diverse information repositories. “The first decade of the web…was decentralized with a long-tail of content and options,” Berners-Lee wrote this year on the occasion of its 35th anniversary.  Over the intervening decades, that vision of distributed sources of information has faced multiple challenges. The dilution of decentralization began with powerful centralized hubs such as Facebook and Google that directed user traffic. Now comes the ultimate disintegration of Berners-Lee’s vision as generative AI reduces traffic to websites by recasting their information.

The web’s open access to the world’s information trained the large language models (LLMs) of generative AI. Now, those generative AI models are coming for their progenitor.

The web allowed users to discover diverse sources of information from which to draw conclusions. AI cuts out the intellectual middleman to go directly to conclusions from a centralized source.

The AI paradigm of cutting out the middleman appears to have been further advanced in Apple’s recent announcement that it will incorporate OpenAI to enable its Siri app to provide ChatGPT-like answers. With this new deal, Apple becomes an AI-based disintermediator, not only eliminating the need to go to websites, but also potentially disintermediating the need for the Google search engine for which Apple has been paying $20 billion annually.

The AtlanticUniversity of Toronto, and Gartner studies suggest the Pew research on website mortality could be just the beginning. Generative AI’s ability to deliver conclusions cannibalizes traffic to individual websites threatening the raison d’être of all websites, especially those that are commercially supported…(More)” 

Using AI to Inform Policymaking


Paper for the AI4Democracy series at The Center for the Governance of Change at IE University: “Good policymaking requires a multifaceted approach, incorporating diverse tools and processes to address the varied needs and expectations of constituents. The paper by Turan and McKenzie focuses on an LLM-based tool, “Talk to the City” (TttC), developed to facilitate collective decision-making by soliciting, analyzing, and organizing public opinion. This tool has been tested in three distinct applications:

1. Finding Shared Principles within Constituencies: Through large-scale citizen consultations, TttC helps identify common values and priorities.

2. Compiling Shared Experiences in Community Organizing: The tool aggregates and synthesizes the experiences of community members, providing a cohesive overview.

3. Action-Oriented Decision Making in Decentralized Governance: TttC supports decision-making processes in decentralized governance structures by providing actionable insights from diverse inputs.

CAPABILITIES AND BENEFITS OF LLM TOOLS

LLMs, when applied to democratic decision-making, offer significant advantages:

  • Processing Large Volumes of Qualitative Inputs: LLMs can handle extensive qualitative data, summarizing discussions and identifying overarching themes with high accuracy.
  • Producing Aggregate Descriptions in Natural Language: The ability to generate clear, comprehensible summaries from complex data makes these tools invaluable for communicating nuanced topics.
  • Facilitating Understanding of Constituents’ Needs: By organizing public input, LLM tools help leaders gain a better understanding of their constituents’ needs and priorities.

CASE STUDIES AND TOOL EFFICACY

The paper presents case studies using TttC, demonstrating its effectiveness in improving collective deliberation and decision-making. Key functionalities include:

  • Aggregating Responses and Clustering Ideas: TttC identifies common themes and divergences within a population’s opinions.
  • Interactive Interface for Exploration: The tool provides an interactive platform for exploring the diversity of opinions at both individual and group scales, revealing complexity, common ground, and polarization…(More)”

Is Software Eating the World?


Paper by Sangmin Aum & Yongseok Shin: “When explaining the declining labor income share in advanced economies, the macro literature finds that the elasticity of substitution between capital and labor is greater than one. However, the vast majority of micro-level estimates shows that capital and labor are complements (elasticity less than one). Using firm- and establishment-level data from Korea, we divide capital into equipment and software, as they may interact with labor in different ways. Our estimation shows that equipment and labor are complements (elasticity 0.6), consistent with other micro-level estimates, but software and labor are substitutes (1.6), a novel finding that helps reconcile the macro vs. micro-literature elasticity discord. As the quality of software improves, labor shares fall within firms because of factor substitution and endogenously rising markups. In addition, production reallocates toward firms that use software more intensively, as they become effectively more productive. Because in the data these firms have higher markups and lower labor shares, the reallocation further raises the aggregate markup and reduces the aggregate labor share. The rise of software accounts for two-thirds of the labor share decline in Korea between 1990 and 2018. The factor substitution and the markup channels are equally important. On the other hand, the falling equipment price plays a minor role, because the factor substitution and the markup channels offset each other…(More)”.