Public engagement and net zero


Report by Tom Sasse, Jill Rutter, and Sarah Allan: “The government must do more to involve the public in designing policies to help the UK transition to a zero-carbon economy.

This report, published in partnership with Involve, sets out recommendations for when and how policy makers should engage with citizens and residents – such as on designing taxes and subsidies to support the replacement of gas boilers or encouraging changes in diet – to deliver net zero.

But it warns there is limited government capability and expertise on public engagement and little co-ordination of activities across government. In many departments, engaging the public is not prioritised as a part of policy making.

Climate Assembly UK, organised in 2020 by parliament (not government), involved over a hundred members of the public, informed by experts, deliberating over the choices involved in the UK meeting its net zero target. But the government has not built on its success. It has yet to commit to making public engagement part of its net zero strategy, nor set out a clear plan for how it might go about it.

The report recommends that:

  • departments invest in strengthening the public engagement expertise needed to plan and commission exercises effectively
  • either the Cabinet Office or the Department for Business, Energy and Industrial Strategy (BEIS) take increased responsibility for co-ordinating net zero public engagement across government
  • the government use its net zero strategy, due in the autumn of this year, to set out how it intends to use public engagement to inform the design of net zero policies
  • the independent Climate Change Committee should play a greater role in advising government on what public engagement to commission….(More)”.

The Innovation Project: Can advanced data science methods be a game-change for data sharing?


Report by JIPS (Joint Internal Displacement Profiling Service): “Much has changed in the humanitarian data landscape in the last decade and not primarily with the arrival of big data and artificial intelligence. Mostly, the changes are due to increased capacity and resources to collect more data quicker, leading to the professionalisation of information management as a domain of work. Larger amounts of data are becoming available in a more predictable way. We believe that as the field has progressed in filling critical data gaps, the problem is not the availability of data, but the curation and sharing of that data between actors as well as the use of that data to its full potential.

In 2018, JIPS embarked on an innovation journey to explore the potential of state-of-the-art technologies to incentivise data sharing and collaboration. This report covers the first phase of the innovation project and launches a series of articles in which we will share more about the innovation journey itself, discuss safe data sharing and collaboration, and look at the prototype we developed – made possible by the UNHCR Innovation Fund.

We argue that by making data and insights safe and secure to share between stakeholders, it will allow for a more efficient use of available data, reduce the resources needed to collect new data, strengthen collaboration and foster a culture of trust in the evidence-informed protection of people in displacement and crises.

The paper first defines the problem and outlines the processes through which data is currently shared among the humanitarian community. It explores questions such as: what are the existing data sharing methods and technologies? Which ones constitute a feasible option for humanitarian and development organisations? How can different actors share and collaborate on datasets without impairing confidentiality and exposing them to disclosure threats?…(More)”.

Co-Develop: Digital Public Infrastructure for an Equitable Recovery


A report by The Rockefeller Foundation: “Digital systems that accomplish basic, society-wide functions played a critical role in the response to the Covid-19 pandemic, enabling both public health and social protection measures. The pandemic has shown the value of these systems, but it has also revealed how they are non-existent or weak in far too many places.

As we build back better, we have an unprecedented opportunity to build digital public infrastructure that promotes inclusion, human rights, and progress toward global goals. This report outlines an agenda for international cooperation on digital public infrastructure to guide future investments and expansion of this critical tool.

6 Key Areas for International Cooperation on Digital Public Infrastructure

  1. A vision for digital public infrastructure as a whole, backed by practice, research, and evaluation.
  2. A global commons based on digital public goods.
  3. Safeguards for inclusion, trust, competition, security, and privacy.
  4. Tools that use data in digital public infrastructure for public value and private empowerment.
  5. Private and public capacity, particularly in implementing countries.
  6. Silo-busting, built-for-purpose coordinating, funding, and financing….(More)”.

The Mobility Data Sharing Assessment


New Tool from the Mobility Data Collaborative (MDC): “…released a set of resources to support transparent and accountable decision making about how and when to share mobility data between organizations. …The Mobility Data Sharing Assessment (MDSA) is a practical and customizable assessment that provides operational guidance to support an organization’s existing processes when sharing or receiving mobility data. It consists of a collection of resources:

  • 1. A Tool that provides a practical, customizable and open-source assessment for organizations to conduct a self-assessment.
  • 2. An Operator’s Manual that provides detailed instructions, guidance and additional resources to assist organizations as they complete the tool.
  • 3. An Infographic that provides a visual overview of the MDSA process.

“We were excited to work with the MDC to create a practical set of resources to support mobility data sharing between organizations,” said Chelsey Colbert, policy counsel at FPF. “Through collaboration, we designed version one of a technology-neutral tool, which is consistent and interoperable with leading industry frameworks. The MDSA was designed to be a flexible and scalable approach that enables mobility data sharing initiatives by encouraging organizations of all sizes to assess the legal, privacy, and ethical considerations.”

New mobility options, such as shared cars and e-scooters, have rapidly emerged in cities over the past decade. Data generated by these mobility services offers an exciting opportunity to provide valuable and timely insight to effectively develop transportation policy and infrastructure. As the world becomes more data-driven, tools like the MDSA help remove barriers to safe data sharing without compromising consumer trust….(More)”.

Citizen science—discovering (new) solutions to wicked problems


Paper by Ian R. Hodgkinson, Sahar Mousavi & Paul Hughes: “The article explores the role citizen science can play in discovering new solutions to pressing wicked problems. Using illustrations of citizen science projects to show how and where citizens have been fundamental in creating solutions and driving change, the article calls for wider recognition and use of citizen science in public administration and management research. For wider utilization of citizens’ active co-participation in research design, delivery and dissemination, the article presents a set of citizen science pathways….(More)”.

Custodians of the Internet


Book by Tarleton Gillespie on “Platforms, Content Moderation, and the Hidden Decisions That Shape Social Media…Most users want their Twitter feed, Facebook page, and YouTube comments to be free of harassment and porn. Whether faced with “fake news” or livestreamed violence, “content moderators”—who censor or promote user-posted content—have never been more important. This is especially true when the tools that social media platforms use to curb trolling, ban hate speech, and censor pornography can also silence the speech you need to hear.

In this revealing and nuanced exploration, award-winning sociologist and cultural observer Tarleton Gillespie provides an overview of current social media practices and explains the underlying rationales for how, when, and why these policies are enforced. In doing so, Gillespie highlights that content moderation receives too little public scrutiny even as it is shapes social norms and creates consequences for public discourse, cultural production, and the fabric of society. Based on interviews with content moderators, creators, and consumers, this accessible, timely book is a must-read for anyone who’s ever clicked “like” or “retweet.”…(More)”.

The Open-Source Movement Comes to Medical Datasets


Blog by Edmund L. Andrews: “In a move to democratize research on artificial intelligence and medicine, Stanford’s Center for Artificial Intelligence in Medicine and Imaging (AIMI) is dramatically expanding what is already the world’s largest free repository of AI-ready annotated medical imaging datasets.

Artificial intelligence has become an increasingly pervasive tool for interpreting medical images, from detecting tumors in mammograms and brain scans to analyzing ultrasound videos of a person’s pumping heart.

Many AI-powered devices now rival the accuracy of human doctors. Beyond simply spotting a likely tumor or bone fracture, some systems predict the course of a patient’s illness and make recommendations.

But AI tools have to be trained on expensive datasets of images that have been meticulously annotated by human experts. Because those datasets can cost millions of dollars to acquire or create, much of the research is being funded by big corporations that don’t necessarily share their data with the public.

“What drives this technology, whether you’re a surgeon or an obstetrician, is data,” says Matthew Lungren, co-director of AIMI and an assistant professor of radiology at Stanford. “We want to double down on the idea that medical data is a public good, and that it should be open to the talents of researchers anywhere in the world.”

Launched two years ago, AIMI has already acquired annotated datasets for more than 1 million images, many of them from the Stanford University Medical Center. Researchers can download those datasets at no cost and use them to train AI models that recommend certain kinds of action.

Now, AIMI has teamed up with Microsoft’s AI for Health program to launch a new platform that will be more automated, accessible, and visible. It will be capable of hosting and organizing scores of additional images from institutions around the world. Part of the idea is to create an open and global repository. The platform will also provide a hub for sharing research, making it easier to refine different models and identify differences between population groups. The platform can even offer cloud-based computing power so researchers don’t have to worry about building local resource intensive clinical machine-learning infrastructure….(More)”.

Looking to the future? Including children, young people and future generations in deliberations on climate action: Ireland’s Citizens’Assembly 2016–2018


Paper by Clodagh Harris: “The effects of climate change are multiple and fundamental. Decisions made today may result in irreversible damage to the planet’s biodiversity and ecosystems, the detrimental impacts of which will be borne by today’s children, young people and those yet unborn (future generations). The use of citizens’ assemblies (CAs) to tackle the issue of climate change is growing. Their remit is future focused. Yet is the future in the room? Focusing on a single case study, the recent Irish CA and Joint Oireachtas Committee on Climate Action (JOCCA) deliberations on climate action, this paper explores the extent to which children, young people and future generations were included. Its systemic analysis of the membership of both institutions, the public submissions to them and the invited expertise presented, finds that the Irish CA was ‘too tightly coupled’ on this issue. This may have been beneficial in terms of impact, but it came at the expense of input legitimacy and potentially intergenerational justice. Referring to international developments, it suggests how these groups may be included through enclave deliberation, institutional innovations, design experiments and future-oriented practice…(More)”

The U.S. Is Getting a Crash Course in Scientific Uncertainty


Apoorva Mandavilli at the New York Times: “When the coronavirus surfaced last year, no one was prepared for it to invade every aspect of daily life for so long, so insidiously. The pandemic has forced Americans to wrestle with life-or-death choices every day of the past 18 months — and there’s no end in sight.

Scientific understanding of the virus changes by the hour, it seems. The virus spreads only by close contact or on contaminated surfaces, then turns out to be airborne. The virus mutates slowly, but then emerges in a series of dangerous new forms. Americans don’t need to wear masks. Wait, they do.

At no point in this ordeal has the ground beneath our feet seemed so uncertain. In just the past week, federal health officials said they would begin offering booster shots to all Americans in the coming months. Days earlier, those officials had assured the public that the vaccines were holding strong against the Delta variant of the virus, and that boosters would not be necessary.

As early as Monday, the Food and Drug Administration is expected to formally approve the Pfizer-BioNTech vaccine, which has already been given to scores of millions of Americans. Some holdouts found it suspicious that the vaccine was not formally approved yet somehow widely dispensed. For them, “emergency authorization” has never seemed quite enough.

Americans are living with science as it unfolds in real time. The process has always been fluid, unpredictable. But rarely has it moved at this speed, leaving citizens to confront research findings as soon as they land at the front door, a stream of deliveries that no one ordered and no one wants.

Is a visit to my ailing parent too dangerous? Do the benefits of in-person schooling outweigh the possibility of physical harm to my child? Will our family gathering turn into a superspreader event?

Living with a capricious enemy has been unsettling even for researchers, public health officials and journalists who are used to the mutable nature of science. They, too, have frequently agonized over the best way to keep themselves and their loved ones safe.

But to frustrated Americans unfamiliar with the circuitous and often contentious path to scientific discovery, public health officials have seemed at times to be moving the goal posts and flip-flopping, or misleading, even lying to, the country.

Most of the time, scientists are “edging forward in a very incremental way,” said Richard Sever, assistant director of Cold Spring Harbor Laboratory Press and a co-founder of two popular websites, bioRxiv and medRxiv, where scientists post new research.

“There are blind alleys that people go down, and a lot of the time you kind of don’t know what you don’t know.”

Biology and medicine are particularly demanding fields. Ideas are evaluated for years, sometimes decades, before they are accepted….(More)”.

The “Onion Model”: A Layered Approach to Documenting How the Third Wave of Open Data Can Provide Societal Value


Blog post by Andrew Zahuranec, Andrew Young and Stefaan Verhulst: “There’s a lot that goes into data-driven decision-making. Behind the datasets, platforms, and analysts is a complex series of processes that inform what kinds of insight data can produce and what kinds of ends it can achieve. These individual processes can be hard to understand when viewed together but, by separating the stages out, we can not only track how data leads to decisions but promote better and more impactful data management.

Earlier this year, The Open Data Policy Lab published the Third Wave of Open Data Toolkit to explore the elements of data re-use. At the center of this toolkit was an abstraction that we call the Open Data Framework. Divided into individual, onion-like layers, the framework shows all the processes that go into capitalizing on data in the third wave, starting with the creation of a dataset through data collaboration, creating insights, and using those insights to produce value.

This blog tries to re-iterate what’s included in each layer of this data “onion model” and demonstrate how organizations can create societal value by making their data available for re-use by other parties….(More)”.