A Global Assessment by the OECD: “Open government is a powerful catalyst for driving democracy, public trust, and inclusive growth. In recognition of this, the OECD Council adopted the Recommendation on Open Government in 2017. To date, it remains the first – and only – internationally recognised legal instrument on open government and has guided many countries in designing and implementing their open government agendas. This report takes stock of countries’ implementation of the Recommendation, its dissemination, and its ongoing significance. It is based on an OECD survey carried out in 2020/2021 among all countries that adhered to the Recommendation and other partner countries, as well as on further data collected through a perception survey with delegates to the OECD Working Party on Open Government…(More)”.
Innovation in Anticipation for Migration: A Deep Dive into Methods, Tools, and Data Sources
Blog by Sara Marcucci and Stefaan Verhulst: “In the ever-evolving landscape of anticipatory methods for migration policy, innovation is a dynamic force propelling the field forward. This seems to be happening in two main ways: first, as we mentioned in our previous blog, one of the significant shifts lies in the blurring of boundaries between quantitative forecasting and qualitative foresight, as emerging mixed-method approaches challenge traditional paradigms. This transformation opens up new pathways for understanding complex phenomena, particularly in the context of human migration flows.
Second, the innovation happening today is not necessarily rooted in the development of entirely new methodologies, but rather in how existing methods are adapted and enhanced. Indeed, innovation seems to extend to the utilization of diverse tools and data sources that bolster the effectiveness of existing methods, offering a more comprehensive and timely perspective on migration trends.
In the context of this blog series, methods refer to the various approaches and techniques used to anticipate and analyze migration trends, challenges, and opportunities. These methods are employed to make informed decisions and develop policies related to human migration. They can include a wide range of strategies to gather and interpret data and insights in the field of migration policy.
Tools, on the other hand, refer to the specific instruments or technologies used to support and enhance the effectiveness of these methods. They encompass a diverse set of resources and technologies that facilitate data collection, analysis, and decision-making in the context of migration policy. These tools can include both quantitative and qualitative data collection and analysis tools, as well as innovative data sources, software, and techniques that help enhance anticipatory methods.
This blog aims to deep dive into the main anticipatory methods adopted in the field of migration, as well as some of the tools and data sources employed to enhance and experiment with them. First, the blog will provide a list of methods considered; second, it will illustrate the main innovative tools employed, and finally it will provide a set of new, non-traditional data sources that are increasingly being used to feed anticipatory methods…(More)”.
Hopes over fears: Can democratic deliberation increase positive emotions concerning the future?
Paper by Mikko Leino and Katariina Kulha: “Deliberative mini-publics have often been considered to be a potential way to promote future-oriented thinking. Still, thinking about the future can be hard as it can evoke negative emotions such as stress and anxiety. This article establishes why a more positive outlook towards the future can benefit long-term decision-making. Then, it explores whether and to what extent deliberative mini-publics can facilitate thinking about the future by moderating negative emotions and encouraging positive emotions. We analyzed an online mini-public held in the region of Satakunta, Finland, organized to involve the public in the drafting process of a regional plan extending until the year 2050. In addition to the standard practices related to mini-publics, the Citizens’ Assembly included an imaginary time travel exercise, Future Design, carried out with half of the participants. Our analysis makes use of both survey and qualitative data. We found that democratic deliberation can promote positive emotions, like hopefulness and compassion, and lessen negative emotions, such as fear and confusion, related to the future. There were, however, differences in how emotions developed in the various small groups. Interviews with participants shed further light onto how participants felt during the event and how their sentiments concerning the future changed…(More)”.
A Blueprint for Designing Better Digital Government Services
Article by Joe Lee: “Public perceptions about government and government service delivery are at an all-time low across the United States. Plagued government legacy systems—too often using outdated programming language—are struggling to hold up under the weight of increased demand, and IT modernization efforts are floundering at all levels of government. This is taking place against the backdrop of a rapidly digitizing world that places a premium on speedy, seamless, simple, and secure customer service.
Government’s “customers” typically confront a whiplash experience between accessing services from the private sector and government. If a customer doesn’t like the quality of service they get from a particular business, they can usually turn to any number of competitors; that same customer has no viable alternative to a service provided by government, regardless of the quality of that service.
When Governor Josh Shapiro took office earlier this year in Pennsylvania, the start of a new administration presented an opportunity to reexamine how the Commonwealth of Pennsylvania delivered services for residents and visitors. As veteran government technologist, Jennifer Pahlka, points out, government tends to be fixated on ensuring compliance with policies and procedures frequently at the expense of the people they serve. In other words, while government services may fulfill statutory and policy requirements, the speed, seamlessness, and simplicity in which that service is ultimately delivered to the end customer is oftentimes an afterthought.
There’s a chorus of voices in the growing public interest technology movement working to shift this stubborn paradigm to proactively and persistently center people at the heart of each interaction between government and the customer. In fact, Pennsylvania is part of a growing coalition of states transforming their digital services across the country. For Pennsylvania and so many states, the road to creating truly accessible digital services involves excavating a mountain of legacy systems and policies, changing cultural and organizational paradigms, and building a movement that puts people at the center of the problem…(More)”.
Why the future might not be where you think it is
Article by Ruth Ogden: “Imagine the future. Where is it for you? Do you see yourself striding towards it? Perhaps it’s behind you. Maybe it’s even above you.
And what about the past? Do you imagine looking over your shoulder to see it?
How you answer these questions will depend on who you are and where you come from. The way we picture the future is influenced by the culture we grow up in and the languages we are exposed to.
For many people who grew up in the UK, the US and much of Europe, the future is in front of them, and the past is behind them. People in these cultures typically perceive time as linear. They see themselves as continually moving towards the future because they cannot go back to the past.
In some other cultures, however, the location of the past and the future are inverted. The Aymara, a South American Indigenous group of people living in the Andes, conceptualise the future as behind them and the past in front of them.
Scientists discovered this by studying the gestures of the Aymara people during discussions of topics such as ancestors and traditions. The researchers noticed that when Aymara spoke about their ancestors, they were likely to gesture in front of themselves, indicating that the past was in front. However, when they were asked about a future event, their gesture seemed to indicate that the future was perceived as behind.
Analysis of how people write, speak and gesture about time suggests that the Aymara are not alone. Speakers of Darij, an Arabic dialect spoken in Morocco, also appear to imagine the past as in front and the future behind. As do some Vietnamese speakers.
The future doesn’t always have to be behind or in front of us. There is evidence that some Mandarin speakers represent the future as down and the past as up. These differences suggest that there is no universal location for the past, present and future. Instead, people construct these representations based on their upbringing and surroundings.
Culture doesn’t just influence where we see the position of the future. It also influences how we see ourselves getting there…(More)”.
Overcoming the Challenges of Using Automated Technologies for Public Health Evidence Synthesis
Article by Lucy Hocking et al: “Many organisations struggle to keep pace with public health evidence due to the volume of published literature and length of time it takes to conduct literature reviews. New technologies that help automate parts of the evidence synthesis process can help conduct reviews more quickly and efficiently to better provide up-to-date evidence for public health decision making. To date, automated approaches have seldom been used in public health due to significant barriers to their adoption. In this Perspective, we reflect on the findings of a study exploring experiences of adopting automated technologies to conduct evidence reviews within the public health sector. The study, funded by the European Centre for Disease Prevention and Control, consisted of a literature review and qualitative data collection from public health organisations and researchers in the field. We specifically focus on outlining the challenges associated with the adoption of automated approaches and potential solutions and actions that can be taken to mitigate these. We explore these in relation to actions that can be taken by tool developers (e.g. improving tool performance and transparency), public health organisations (e.g. developing staff skills, encouraging collaboration) and funding bodies/the wider research system (e.g. researchers, funding bodies, academic publishers and scholarly journals)…(More)”
What causes such maddening bottlenecks in government? ‘Kludgeocracy.’
Article by Jennifer Pahlka: “Former president Donald Trump wants to “obliterate the deep state.” As a Democrat who values government, I am chilled by the prospect. But I sometimes partly agree with him.
Certainly, Trump and I are poles apart on the nature of the problem. His “deep state” evokes a shadowy cabal that doesn’t exist. What is true, however, is that red tape and misaligned gears frequently stymie progress on even the most straightforward challenges. Ten years ago, Steven M. Teles, a political science professor at Johns Hopkins University, coined the term “kludgeocracy” to describe the problem. Since then, it has only gotten worse.
Whatever you call it, the sprawling federal bureaucracy takes care of everything from the nuclear arsenal to the social safety net to making sure our planes don’t crash. Public servants do critical work; they should be honored, not disparaged.
Yet most of them are frustrated. I’ve spoken with staffers in a dozen federal agencies this year while rolling out my book about government culture and effectiveness. I heard over and over about rigid, maximalist interpretations of rules, regulations, policies and procedures that take precedence over mission. Too often acting responsibly in government has come to mean not acting at all.
Kludgeocracy Example No. 1: Within government, designers are working to make online forms and applications easier to use. To succeed, they need to do user research, most of which is supposed to be exempt from the data-collection requirements of the Paperwork Reduction Act. Yet compliance officers insist that designers send their research plans for approval by the White House Office of Information and Regulatory Affairs (OIRA) under the act. Countless hours can go into the preparation and internal approvals of a “package” for OIRA, which then might post the plans to the Federal Register for the fun-house-mirror purpose of collecting public input on a plan to collect public input. This can result in months of delay. Meanwhile, no input happens, and no paperwork gets reduced.
Kludgeocracy Example No. 2: For critical economic and national security reasons, Congress passed a law mandating the establishment of a center for scientific research. Despite clear legislative intent, work was bogged down for months when one agency applied a statute to prohibit a certain structure for the center and another applied a different statute to require that structure. The lawyers ultimately found a solution, but it was more complex and cumbersome than anyone had hoped for. All the while, the clock was ticking.
What causes such maddening bottlenecks? The problem is mainly one of culture and incentives. It could be solved if leaders in each branch — in good faith — took the costs seriously…(More)”.
The State of Open Data 2023
Report by Springer Nature, Digital Science and Figshare: “The 2023 survey showed that the key motivations for researchers to share their data remain very similar to previous years, with full citation of research papers or a data citation ranking highly. 89% of respondents also said they make their data available publicly, however almost three quarters of respondents had never received support with planning, managing or sharing research data.
One size does not fit all: Variations in responses from different areas of expertise and geographies highlight a need for a more nuanced approach to research data management support globally. For example, 64% of respondents supported the idea of a national mandate for making research data openly available, with Indian and German respondents more likely to support this idea (both 71%).
Credit is an ongoing issue: For eight years running, our survey has revealed a recurring concern among researchers: the perception that they don’t receive sufficient recognition for openly sharing their data. 60% of respondents said they receive too little credit for sharing their data.
AI awareness hasn’t translated to action: For the first time, this year we asked survey respondents to indicate if they were using ChatGPT or similar AI tools for data collection, data processing and metadata collection. The most common response to all three questions was ‘I’m aware of these tools but haven’t considered it.’..(More)”.
Toward Equitable Innovation in Health and Medicine: A Framework
Report by The National Academies: “Advances in biomedical science, data science, engineering, and technology are leading to high-pace innovation with potential to transform health and medicine. These innovations simultaneously raise important ethical and social issues, including how to fairly distribute their benefits and risks. The National Academies of Sciences, Engineering, and Medicine, in collaboration with the National Academy of Medicine, established the Committee on Creating a Framework for Emerging Science, Technology, and Innovation in Health and Medicine to provide leadership and engage broad communities in developing a framework for aligning the development and use of transformative technologies with ethical and equitable principles. The committees resulting report describes a governance framework for decisions throughout the innovation life cycle to advance equitable innovation and support an ecosystem that is more responsive to the needs of a broader range of individuals and is better able to recognize and address inequities as they arise…(More)”.
Data Governance and Privacy Challenges in the Digital Healthcare Revolution
Paper by Nargiz Kazimova: “The onset of the COVID-19 pandemic has catalyzed an imperative for digital transformation in the healthcare sector. This study investigates the accelerated shift towards a digitally-enhanced healthcare delivery system, advocating for the widespread adoption of telemedicine and the relaxation of regulatory barriers. The paper also scrutinizes the burgeoning use of electronic health records, wearable devices, artificial intelligence, and machine learning, and how these technologies offer promising avenues for improving patient care and medical outcomes. Despite the advancements, the rapid digital integration raises significant privacy and security concerns. The stigma associated with certain illnesses and potential discrimination presents serious challenges that digital healthcare innovations can exacerbate.
This research underscores the criticality of stringent data governance to safeguard personal health information in the face of growing digitalization. The analysis begins with an exploration of the data governance role in optimizing healthcare outcomes and preserving privacy, followed by an assessment of the breadth and depth of health data proliferation. The paper subsequently navigates the complex legal and ethical terrain, contrasting HIPAA and GDPR frameworks to underline the current regulatory challenges.
A comprehensive set of strategic recommendations is provided for reinforcing data governance and enhancing privacy protection in healthcare. The author advises on updating legal provisions to match the dynamic healthcare environment, widening the scope of privacy laws, and improving the transparency of data-sharing practices. The establishment of ethical guidelines for the collection and use of health data is also recommended, focusing on explicit consent, decision-making transparency, harm accountability, maintenance of data anonymity, and the mitigation of biases in datasets.
Moreover, the study advocates for stronger transparency in data sharing with clear communication on data use, rigorous internal and external audit mechanisms, and informed consent processes. The conclusion calls for increased collaboration between healthcare providers, patients, administrative staff, ethicists, regulators, and technology companies to create governance models that reconcile patient rights with the expansive use of health data. The paper culminates in a call to action for a balanced approach to privacy and innovation in the data-driven era of healthcare…(More)”.