The Future Data Economy


Report by the IE University’s Center for the Governance of Change: “…summarizes the ideas and recommendations of a year of research into the possibilities of creating a data economy that is fair, competitive and secure, carried out together with experts in the field such as Andrea Renda and Stefaan Verhulst.

According to the report, the data economy represents “a fundamental reconfiguration of how value is generated, exchanged, and understood in our world today” but it remains deeply misunderstood:

  • The authors argue that data’s particular characteristics make it different from other commodities and therefore more difficult to regulate.
  • Optimizing data flows defies the sort of one-size-fits-all solutions that policymakers tend to search for in other domains, requiring instead a more nuanced, case-by-case approach. 
  • Policymakers need to strike a delicate balance between making data sufficiently accessible to foster innovation, competition, and economic growth, while regulating its access and use to protect privacy, security, and consumer rights.

The report identifies additional overarching principles that lay the groundwork for a more coherent regulatory framework and a more robust social contract in the future data economy:

  • A paradigm shift towards greater collaboration on all fronts to address the challenges and harness the opportunities of the data economy.
  • Greater data literacy at all levels of society to make better decisions, manage risks more effectively, and harness the potential of data responsibly.
  • Regaining social trust, not only a moral imperative but also a prerequisite for the long-term sustainability and viability of data governance models.

To realize this vision, the report advances 15 specific recommendations for policymakers, including:

  • Enshrining people’s digital rights through robust regulatory measures that empower them with genuine control over their digital experiences.
  • Investing in data stewards to increase companies’ ability to recognize opportunities for collaboration and respond to external data requests. 
  • Designing liability frameworks to properly identify responsibility in cases of data misuse…(More)”

What is ‘lived experience’?


Article by Patrick J Casey: “Everywhere you turn, there is talk of lived experience. But there is little consensus about what the phrase ‘lived experience’ means, where it came from, and whether it has any value. Although long used by academics, it has become ubiquitous, leaping out of the ivory tower and showing up in activism, government, consulting, as well as popular culture. The Lived Experience Leaders Movement explains that those who have lived experiences have ‘[d]irect, first-hand experience, past or present, of a social issue(s) and/or injustice(s)’. A recent brief from the US Department of Health and Human Services suggests that those who have lived experience have ‘valuable and unique expertise’ that should be consulted in policy work, since engaging those with ‘knowledge based on [their] perspective, personal identities, and history’ can ‘help break down power dynamics’ and advance equity. A search of Twitter reveals a constant stream of use, from assertions like ‘Your research doesn’t override my lived experience,’ to ‘I’m pretty sure you’re not allowed to question someone’s lived experience.’

A recurring theme is a connection between lived experience and identity. A recent nominee for the US Secretary of Labor, Julie Su, is lauded as someone who will ‘bring her lived experience as a daughter of immigrants, a woman of color, and an Asian American to the role’. The Human Rights Campaign asserts that ‘[l]aws and legislation must reflect the lived experiences of LGBTQ people’. An editorial in Nature Mental Health notes that incorporation of ‘people with lived experience’ has ‘taken on the status of a movement’ in the field.

Carried a step further, the notion of lived experience is bound up with what is often called identity politics, as when one claims to be speaking from the standpoint of an identity group – ‘in my lived experience as a…’ or, simply, ‘speaking as a…’ Here, lived experience is often invoked to establish authority and prompt deference from others since, purportedly, only members of a shared identity know what it’s like to have certain kinds of experience or to be a member of that group. Outsiders sense that they shouldn’t criticise what is said because, grounded in lived experience, ‘people’s spoken truths are, in and of themselves, truths.’ Criticism of lived experience might be taken to invalidate or dehumanise others or make them feel unsafe.

So, what is lived experience? Where did it come from? And what does it have to do with identity politics?…(More)”.

Democratic innovations beyond the deliberative paradigm


Paper by Christian Opitz: “The current research on deliberative-participatory democratic innovations conducted by state administration agencies exhibits empirical eclecticism and is dominated by a deliberative paradigm. However, this paradigm tends to conflate normative prescription with analytical description. In contrast, this article proposes a comprehensive re-conceptualization of such innovations, drawing from Niklas Luhmann’s systems theory. It outlines the specific problem these innovations address (function), how they operate in tackling this problem (functioning) and the problems they inevitably raise (dysfunctions). In addition, my re-conceptualization retains the possibility to critically compare these (and other) experiments regarding their capability to address emerging challenges within the modern democratic political system…(More)”.

CDOs in the Public Sector


Book by Christian Schachtner: “This book explores the need for innovative approaches to administrative digitization, leveraging technologies such as AI, blockchain, and smart processes to meet citizens’ expectations, with a particular focus on the role of Chief Digital Officers (CDOs) in driving successful digital transformations within public institutions. 

Administrative digitization requires fresh inputs to match the leaps seen in the industry sector, utilizing technologies like AI-driven automation, blockchain transactions, and security tools. Smart process solutions are seen as transformative in upholding service standards aligned with citizens’ state expectations. Unlike commercial companies, collaboration offers those overseeing public sector digitization enhanced scaling opportunities by drawing from experiences in other regions and metropolises, directly applicable and reusable.

In the public realm, digital strategies mirror legal and social conditions, necessitating adjustments and adaptation options for Chief Digital Officers as they lead digital transformation. Methodological focal points in task structure redesign, process optimization, and motivating actors yield diverse action areas for the CDO’s new role in public institutions. This book explores the instruments, strategies, and attitudes necessary to successfully implement transformative initiatives in organizations, emphasizing proven concepts with practical applicability, enabling readers to derive their own interaction options as digital guidance leaders. The book is a concise introduction to the specific requirements for visionary designers driving dynamic changes in user-centric public services….(More)”.

The Open Data Maturity Ranking is shoddy – it badly needs to be re-thought


Article by Olesya Grabova: “Digitalising government is essential for Europe’s future innovation and economic growth and one of the keys to achieving this is open data – information that public entities gather, create, or fund, and it’s accessible to all to freely use.

This includes everything from public budget details to transport schedules. Open data’s benefits are vast — it fuels research, boosts innovation, and can even save lives in wartime through the creation of chatbots with information about bomb shelter locations. It’s estimated that its economic value will reach a total of EUR 194 billion for EU countries and the UK by 2030.

This is why correctly measuring European countries’ progress in open data is so important. And that’s why the European Commission developed the Open Data Maturity (ODM) ranking, which annually measures open data quality, policies, online portals, and impact across 35 European countries.

Alas, however, it doesn’t work as well as it should and this needs to be addressed.

A closer look at the report’s overall approach reveals the ranking hardly reflects countries’ real progress when it comes to open data. This flawed system, rather than guiding countries towards genuine improvement, risks misrepresenting their actual progress and misleads citizens about their country’s advancements, which further stalls opportunities for innovation.

Take Slovakia. It’s apparently the biggest climber,  leaping from 29th to 10th place in just over a year. One would expect that the country has made significant progress in making public sector information available and stimulating its reuse – one of the OMD assessment’s key elements.

A deeper examination reveals that this isn’t the case. Looking at the ODM’s methodology highlights where it falls short… and how it can be fixed…(More)”.

AI-Powered World Health Chatbot Is Flubbing Some Answers


Article by Jessica Nix: “The World Health Organization is wading into the world of AI to provide basic health information through a human-like avatar. But while the bot responds sympathetically to users’ facial expressions, it doesn’t always know what it’s talking about.

SARAH, short for Smart AI Resource Assistant for Health, is a virtual health worker that’s available to talk 24/7 in eight different languages to explain topics like mental health, tobacco use and healthy eating. It’s part of the WHO’s campaign to find technology that can both educate people and fill staffing gaps with the world facing a health-care worker shortage.

WHO warns on its website that this early prototype, introduced on April 2, provides responses that “may not always be accurate.” Some of SARAH’s AI training is years behind the latest data. And the bot occasionally provides bizarre answers, known as hallucinations in AI models, that can spread misinformation about public health.The WHO’s artificial intelligence tool provides public health information via a lifelike avatar.Source: Bloomberg

SARAH doesn’t have a diagnostic feature like WebMD or Google. In fact, the bot is programmed to not talk about anything outside of the WHO’s purview, including questions on specific drugs. So SARAH often sends people to a WHO website or says that users should “consult with your health-care provider.”

“It lacks depth,” Ramin Javan, a radiologist and researcher at George Washington University, said. “But I think it’s because they just don’t want to overstep their boundaries and this is just the first step.”..(More)”

What can improve democracy?


Report by the Pew Research Center: “…surveys have long found that people in many countries are dissatisfied with their democracy and want major changes to their political systems – and this year is no exception. But high and growing rates of discontent certainly raise the question: What do people think could fix things?

A graphic showing that People in most countries surveyed suggest changes to politicians will improve democracy

We set out to answer this by asking more than 30,000 respondents in 24 countries an open-ended question: “What do you think would help improve the way democracy in your country is working?” While the second- and third-most mentioned priorities vary greatly, across most countries surveyed, there is one clear top answer: Democracy can be improved with better or different politicians.

People want politicians who are more responsive to their needs and who are more competent and honest, among other factors. People also focus on questions of descriptive representation – the importance of having politicians with certain characteristics such as a specific race, religion or gender.

Respondents also think citizens can improve their own democracy. Across most of the 24 countries surveyed, issues of public participation and of different behavior from the people themselves are a top-five priority.

Other topics that come up regularly include:

  • Economic reform, especially reforms that will enhance job creation.
  • Government reform, including implementing term limits, adjusting the balance of power between institutions and other factors.

We explore these topics and the others we coded in the following chapters:

  • Politicians, changing leadership and political parties (Chapter 1)
  • Government reform, special interests and the media (Chapter 2)
  • Economic and policy changes (Chapter 3)
  • Citizen behavior and individual rights and equality (Chapter 4)
  • Electoral reform and direct democracy (Chapter 5)
  • Rule of law, safety and the judicial system (Chapter 6)…(More)”.

Using Artificial Intelligence to Map the Earth’s Forests


Article from Meta and World Resources Institute: “Forests harbor most of Earth’s terrestrial biodiversity and play a critical role in the uptake of carbon dioxide from the atmosphere. Ecosystem services provided by forests underpin an essential defense against the climate and biodiversity crises. However, critical gaps remain in the scientific understanding of the structure and extent of global forests. Because the vast majority of existing data on global forests is derived from low to medium resolution satellite imagery (10 or 30 meters), there is a gap in the scientific understanding of dynamic and more dispersed forest systems such as agroforestry, drylands forests, and alpine forests, which together constitute more than a third of the world’s forests. 

Today, Meta and World Resources Institute are launching a global map of tree canopy height at a 1-meter resolution, allowing the detection of single trees at a global scale. In an effort to advance open source forest monitoring, all canopy height data and artificial intelligence models are free and publicly available…(More)”.

Social Choice for AI Alignment: Dealing with Diverse Human Feedback


Paper by Vincent Conitzer, et al: “Foundation models such as GPT-4 are fine-tuned to avoid unsafe or otherwise problematic behavior, so that, for example, they refuse to comply with requests for help with committing crimes or with producing racist text. One approach to fine-tuning, called reinforcement learning from human feedback, learns from humans’ expressed preferences over multiple outputs. Another approach is constitutional AI, in which the input from humans is a list of high-level principles. But how do we deal with potentially diverging input from humans? How can we aggregate the input into consistent data about ”collective” preferences or otherwise use it to make collective choices about model behavior? In this paper, we argue that the field of social choice is well positioned to address these questions…(More)”.

We Need To Rewild The Internet


Article by Maria Farrell and Robin Berjon: “In the late 18th century, officials in Prussia and Saxony began to rearrange their complex, diverse forests into straight rows of single-species trees. Forests had been sources of food, grazing, shelter, medicine, bedding and more for the people who lived in and around them, but to the early modern state, they were simply a source of timber.

So-called “scientific forestry” was that century’s growth hacking. It made timber yields easier to count, predict and harvest, and meant owners no longer relied on skilled local foresters to manage forests. They were replaced with lower-skilled laborers following basic algorithmic instructions to keep the monocrop tidy, the understory bare.

Information and decision-making power now flowed straight to the top. Decades later when the first crop was felled, vast fortunes were made, tree by standardized tree. The clear-felled forests were replanted, with hopes of extending the boom. Readers of the American political anthropologist of anarchy and order, James C. Scott, know what happened next.

It was a disaster so bad that a new word, Waldsterben, or “forest death,” was minted to describe the result. All the same species and age, the trees were flattened in storms, ravaged by insects and disease — even the survivors were spindly and weak. Forests were now so tidy and bare, they were all but dead. The first magnificent bounty had not been the beginning of endless riches, but a one-off harvesting of millennia of soil wealth built up by biodiversity and symbiosis. Complexity was the goose that laid golden eggs, and she had been slaughtered…(More)”.