Why Citizen-Driven Policy Making Is No Longer A Fringe Idea

Curated on Posted on by Stefaan Verhulst

Article by Tatjana Buklijas: “Deliberative democracy is a term that would have been met with blank stares in academic and political circles just a few decades ago.

Yet this approach, which examines ways to directly connect citizens with decision-making processes, has now become central to many calls for government reform across the world. 

This surge in interest was firstly driven by the 2008 financial crisis. After the banking crash, there was a crisis of trust in democratic institutions. In Europe and the United States, populist political movements helped drive public feeling to become increasingly anti-establishment. 

The second was the perceived inability of representative democracy to effectively respond to long-term, intergenerational challenges, such as climate change and environmental decline. 

Within the past few years, hundreds of citizens’ assemblies, juries and other forms of ‘minipublics’ have met to learn, deliberate and produce recommendations on topics from housing shortages and covid-19 policies, to climate action.

One of the most recent assemblies in the United Kingdom was the People’s Plan for Nature that produced a vision for the future of nature, and the actions society must take to protect and renew it. 

When it comes to climate action, experts argue that we need to move beyond showpiece national and international goal-setting, and bring decision-making closer to home. 

Scholars say that that local and regional minipublics should be used much more frequently to produce climate policies, as this is where citizens experience the impact of the changing climate and act to make everyday changes.

While some policymakers are critical of deliberative democracy and see these processes as redundant to the existing deliberative bodies, such a national parliaments, others are more supportive. They view them as a way to get a better understanding of both what the public both thinks, and also how they might choose to implement change, after being given the chance to learn and deliberate on key questions.

Research has shown that the cognitive diversity of minipublics ensure a better quality of decision-making, in comparison to the more experienced, but also more homogenous traditional decision-making bodies…(More)”.

Engaging Scientists to Prevent Harmful Exploitation of Advanced Data Analytics and Biological Data

Curated on Posted on by Stefaan Verhulst

Proceedings from the National Academies of Sciences: “Artificial intelligence (AI), facial recognition, and other advanced computational and statistical techniques are accelerating advancements in the life sciences and many other fields. However, these technologies and the scientific developments they enable also hold the potential for unintended harm and malicious exploitation. To examine these issues and to discuss practices for anticipating and preventing the misuse of advanced data analytics and biological data in a global context, the National Academies of Sciences, Engineering, and Medicine convened two virtual workshops on November 15, 2022, and February 9, 2023. The workshops engaged scientists from the United States, South Asia, and Southeast Asia through a series of presentations and scenario-based exercises to explore emerging applications and areas of research, their potential benefits, and the ethical issues and security risks that arise when AI applications are used in conjunction with biological data. This publication highlights the presentations and discussions of the workshops…(More)”.

Building the Democracy We Need for the Twenty-First Century

Curated on Posted on by Stefaan Verhulst

Toolkit by Hollie Russon Gilman, Grace Levin, and Jessica Tang: “This toolkit situates collaborative governance, also known as “co-governance,” within a framework for building community that sees civic education, relationship building, and leadership development as essential first steps toward an effective and sustained participatory process. It offers key takeaways and best practices from effective, ongoing collaborative governance projects between communities and decision makers. The best of these projects shift decision-making power to the hands of communities to make room for more deliberation, consensus, and lasting change. Building on the lessons of successful case studies from across the United States, including Georgia, Kentucky, New York, and Washington, this toolkit aims to support local leaders inside and outside government as they navigate and execute co-governance models in their communities…(More)”.

Culture and Democracy, the evidence

Curated on Posted on by Stefaan Verhulst

Report by the European Commission: “This report analyses the concrete link between democracy and culture. It maps out how citizens who participate in cultural activities are much more likely to engage in civic and democratic life. Inequalities persist throughout the EU when it comes to citizens’ participation in cultural activities, with a clear knock-on impact on democratic participation. And this is just another reason why it is crucial that cultural activities are inclusive and affordable. Even more so as we see that investing in cultural participation can also support a range of other societal objectives – for example, in fields such as health, education and social inclusion. This report, and addressing the issues identified within it, is part of the work the European Commission is doing to strengthen democracy, to promote an inclusive and engaged society and to support the sustainability of the cultural sector. In the Work Plan for Culture 2023-2026, we put a specific focus on the link between culture and democracy, and we want to bring policy makers and stakeholders together to jointly work towards the concept of cultural citizenship in the EU. This report is part of the process…(More)”.

Artificial Intelligence in Science: Challenges, Opportunities and the Future of Research

Curated on Posted on by Stefaan Verhulst

OECD Report: “The rapid advances of artificial intelligence (AI) in recent years have led to numerous creative applications in science. Accelerating the productivity of science could be the most economically and socially valuable of all the uses of AI. Utilising AI to accelerate scientific productivity will support the ability of OECD countries to grow, innovate and meet global challenges, from climate change to new contagions. This publication is aimed at a broad readership, including policy makers, the public, and stakeholders in all areas of science. It is written in non-technical language and gathers the perspectives of prominent researchers and practitioners. The book examines various topics, including the current, emerging, and potential future uses of AI in science, where progress is needed to better serve scientific advancements, and changes in scientific productivity. Additionally, it explores measures to expedite the integration of AI into research in developing countries. A distinctive contribution is the book’s examination of policies for AI in science. Policy makers and actors across research systems can do much to deepen AI’s use in science, magnifying its positive effects, while adapting to the fast-changing implications of AI for research governance…(More)”.

Artificial Intelligence, Big Data, Algorithmic Management, and Labor Law

Curated on Posted on by Stefaan Verhulst

Chapter by Pauline Kim: “Employers are increasingly relying on algorithms and AI to manage their workforces, using automated systems to recruit, screen, select, supervise, discipline, and even terminate employees. This chapter explores the effects of these systems on the rights of workers in standard work relationships, who are presumptively protected by labor laws. It examines how these new technological tools affect fundamental worker interests and how existing law applies, focusing primarily as examples on two particular concerns—nondiscrimination and privacy. Although current law provides some protections, legal doctrine has largely developed with human managers in mind, and as a result, fails to fully apprehend the risks posed by algorithmic tools. Thus, while anti-discrimination law prohibits discrimination by workplace algorithms, the existing framework has a number of gaps and uncertainties when applied to these systems. Similarly, traditional protections for employee privacy are ill-equipped to address the sheer volume and granularity of worker data that can now be collected, and the ability of computational techniques to extract new insights and infer sensitive information from that data. More generally, the expansion of algorithmic management affects other fundamental worker interests because it tends to increase employer power vis à vis labor. This chapter concludes by briefly considering the role that data protection laws might play in addressing the risks of algorithmic management…(More)”.

Health Care Data Is a Researcher’s Gold Mine

Curated on Posted on by Stefaan Verhulst

Article by James O’Shaughnessy: “The UK’s National Health Service should aim to become the world’s leading platform for health research and development. We’ve seen some great examples of the potential we have for world-class research during the pandemic, with examples like the RECOVERY trial and the Covid vaccine platform, and since then through the partnerships with Moderna, Grail, and BioNTech. However, these examples of partnership with industry are often ad hoc arrangements. In general, funding and prestige are concentrated on research labs and early-phase trials, but when it comes to helping health care companies through the commercialization stages of their products, both public and private sector funding is much harder to access. This makes it hard for startups partnering with the NHS to scale their products and sell them on the domestic and international markets.

Instead, we need a systematic approach to leverage our strengths, such as the scale of the NHS, the diversity of our population, and the deep patient phenotyping that our data assets enable. That will give us the opportunity to generate vast amounts of real-world data about health care drugs and technologies—like pricing, performance, and safety—that can prepare companies to scale their innovations and go to market.

To achieve that, there are obstacles to overcome. For instance, setting up research projects is incredibly time-consuming. We have very bureaucratic processes that make the UK one of the slowest places in Europe to set up research studies.

Patients need more access to research. However, there’s really poor information at the moment about where clinical trials are taking place in the country and what kind of patients they are recruiting. We need a clinical clinicaltrials.gov.uk website to give that sort of information.

There’s a significant problem when it comes to the question of patient consent to participate in a R&D. Legally, unless patients have said explicitly that they want to be approached for a research project or a clinical trial, they can’t be contacted for that purpose. The catch-22 is that, of course, most patients are not aware of this, and you can’t legally contact them to inform them. We need to allow ethically approved researchers to proactively approach people to take part in studies which might be of benefit to them…(More)”.

How Leaders in Higher Education Can Embed Behavioral Science in Their Institutions

Curated on Posted on by Stefaan Verhulst

Essay by Ross E. O’Hara: “…Once we view student success through a behavioral science lens and see the complex systems underlying student decision making, it becomes clear that behavioral scientists work best not as mechanics who repair broken systems, but as engineers who design better systems. Higher education, therefore, needs to diffuse those engineers throughout the organization.

To that end, Hallsworth recommends that organizations change their view of behavioral science “from projects to processes, from commissions to culture.” Only when behavioral science expertise is diffused across units and incorporated into all key organizational functions can a college become behaviorally enabled. So how might higher education go about this transformation?

1. Leverage the faculty

Leaders with deep expertise in behavioral science are likely already employed in social and behavioral sciences departments. Consider ways to focus their energy inward to tackle institutional challenges, perhaps using their own classrooms or departments as testing grounds. As they find promising solutions, build the infrastructure to disseminate and implement those ideas college and system wide. Unlike higher education’s normal approach—giving faculty additional unpaid and underappreciated committee work—provide funding and recognition that incentivizes faculty to make higher education policy an important piece of their academic portfolio.

2. Practice cross-functional training

I have spent the past several years providing colleges with behavioral science professional development, but too often this work is focused on a single functional unit, like academic advisors or faculty. Instead, create trainings that include representatives from across campus (e.g., enrollment; financial aid; registrar; student affairs). Not only will this diffuse behavioral science knowledge across the institution, but it will bring together the key players that impact student experience and make it easier for them to see the adaptive system that determines whether a student graduates or withdraws.

3. Let behavioral scientists be engineers

Whether you look for faculty or outside consultants, bring behavioral science experts into conversations early. From redesigning college-to-career pathways to building a new cafeteria, behavioral scientists can help gather and interpret student voices, foresee and circumvent behavioral challenges, and identify measurable and meaningful evaluation metrics. The impact of their expertise will be even greater when they work in an environment with a diffuse knowledge of behavioral science already in place…(More)”

Barred From Grocery Stores by Facial Recognition

Curated on Posted on by Stefaan Verhulst

Article by Adam Satariano and Kashmir Hill: “Simon Mackenzie, a security officer at the discount retailer QD Stores outside London, was short of breath. He had just chased after three shoplifters who had taken off with several packages of laundry soap. Before the police arrived, he sat at a back-room desk to do something important: Capture the culprits’ faces.

On an aging desktop computer, he pulled up security camera footage, pausing to zoom in and save a photo of each thief. He then logged in to a facial recognition program, Facewatch, which his store uses to identify shoplifters. The next time those people enter any shop within a few miles that uses Facewatch, store staff will receive an alert.

“It’s like having somebody with you saying, ‘That person you bagged last week just came back in,’” Mr. Mackenzie said.

Use of facial recognition technology by the police has been heavily scrutinized in recent years, but its application by private businesses has received less attention. Now, as the technology improves and its cost falls, the systems are reaching further into people’s lives. No longer just the purview of government agencies, facial recognition is increasingly being deployed to identify shoplifters, problematic customers and legal adversaries.

Facewatch, a British company, is used by retailers across the country frustrated by petty crime. For as little as 250 pounds a month, or roughly $320, Facewatch offers access to a customized watchlist that stores near one another share. When Facewatch spots a flagged face, an alert is sent to a smartphone at the shop, where employees decide whether to keep a close eye on the person or ask the person to leave…(More)”.

Gamifying medical data labeling to advance AI

Curated on Posted on by Stefaan Verhulst

Article by Zach Winn: “…Duhaime began exploring ways to leverage collective intelligence to improve medical diagnoses. In one experiment, he trained groups of lay people and medical school students that he describes as “semiexperts” to classify skin conditions, finding that by combining the opinions of the highest performers he could outperform professional dermatologists. He also found that by combining algorithms trained to detect skin cancer with the opinions of experts, he could outperform either method on its own….The DiagnosUs app, which Duhaime developed with Centaur co-founders Zach Rausnitz and Tom Gellatly, is designed to help users test and improve their skills. Duhaime says about half of users are medical school students and the other half are mostly doctors, nurses, and other medical professionals…

The approach stands in sharp contrast to traditional data labeling and AI content moderation, which are typically outsourced to low-resource countries.

Centaur’s approach produces accurate results, too. In a paper with researchers from Brigham and Women’s Hospital, Massachusetts General Hospital (MGH), and Eindhoven University of Technology, Centaur showed its crowdsourced opinions labeled lung ultrasounds as reliably as experts did…

Centaur has found that the best performers come from surprising places. In 2021, to collect expert opinions on EEG patterns, researchers held a contest through the DiagnosUs app at a conference featuring about 50 epileptologists, each with more than 10 years of experience. The organizers made a custom shirt to give to the contest’s winner, who they assumed would be in attendance at the conference.

But when the results came in, a pair of medical students in Ghana, Jeffery Danquah and Andrews Gyabaah, had beaten everyone in attendance. The highest-ranked conference attendee had come in ninth…(More)”