Chapter by Álvaro V. Ramírez-Alujas: “How do rates of COVID19 infection increase? How do populations respond to lockdown measures? How is the pandemic affecting the economic and social activity of communities beyond health? What can we do to mitigate risks and support families in this context? The answer to these and other key questions is part of the intense global public debate on the management of the health crisis and how appropriate public policy measures have been taken in order to combat the impact and effects of COVID19 around the world. The common ground to all of them? The availability and use of public data and information. This chapter reflects on the relevance of public information and the availability, processing and use of open data as the primary hub and key ingredient in the responsiveness of governments and public institutions to the COVID19 pandemic and its multiple impacts on society. Discussions are underway concerning the scope, paradoxes, lessons learned, and visible challenges with respect to the available evidence and comparative analysis of government strategies in the region, incorporating the urgent need to shift towards a more robust, sustainable data infrastructure anchored in a logic of strengthening the ecosystem of actors (public and private sectors, civil society and the scientific community) to shape a framework of governance, and a strong, emerging institutional architecture based on data management for sustainable development on a human scale…(More)”.
Incentivising research data sharing: a scoping review
Paper by Helen Buckley Woods and Stephen Pinfield: “Numerous mechanisms exist to incentivise researchers to share their data. This scoping review aims to identify and summarise evidence of the efficacy of different interventions to promote open data practices and provide an overview of current research….Seven major themes in the literature were identified: publisher/journal data sharing policies, metrics, software solutions,research data sharing agreements in general, open science ‘badges’, funder mandates, and initiatives….
A number of key messages for data sharing include: the need to build on existing cultures and practices, meeting people where they are and tailoring interventions to support them; the importance of publicising and explaining the policy/service widely; the need to have disciplinary data champions to model good practice and drive cultural change; the requirement to resource interventions properly; and the imperative to provide robust technical infrastructure and protocols, such as labelling of data sets, use of DOIs, data standards and use of data repositories….(More)”.
If AI Is Predicting Your Future, Are You Still Free?
Essay by Carissa Veliz” “…Today, prediction is mostly done through machine learning algorithms that use statistics to fill in the blanks of the unknown. Text algorithms use enormous language databases to predict the most plausible ending to a string of words. Game algorithms use data from past games to predict the best possible next move. And algorithms that are applied to human behavior use historical data to infer our future: what we are going to buy, whether we are planning to change jobs, whether we are going to get sick, whether we are going to commit a crime or crash our car. Under such a model, insurance is no longer about pooling risk from large sets of people. Rather, predictions have become individualized, and you are increasingly paying your own way, according to your personal risk scores—which raises a new set of ethical concerns.
An important characteristic of predictions is that they do not describe reality. Forecasting is about the future, not the present, and the future is something that has yet to become real. A prediction is a guess, and all sorts of subjective assessments and biases regarding risk and values are built into it. There can be forecasts that are more or less accurate, to be sure, but the relationship between probability and actuality is much more tenuous and ethically problematic than some assume.
Institutions today, however, often try to pass off predictions as if they were a model of objective reality. And even when AI’s forecasts are merely probabilistic, they are often interpreted as deterministic in practice—partly because human beings are bad at understanding probability and partly because the incentives around avoiding risk end up reinforcing the prediction. (For example, if someone is predicted to be 75 percent likely to be a bad employee, companies will not want to take the risk of hiring them when they have candidates with a lower risk score)…(More)”.
Mapping data portability initiatives, opportunities and challenges
OECD Report: “Data portability has become an essential tool for enhancing access to and sharing of data across digital services and platforms. This report explores to what extent data portability can empower users (natural and legal persons) to play a more active role in the re-use of their data across digital services and platforms. It also examines how data portability can help increase interoperability and data flows and thus enhance competition and innovation by reducing switching costs and lock-in effects….(More)”.
The 2021 Good Tech Awards
Kevin Roose at the New York Times: “…Especially at a time when many of tech’s leaders seem more interested in building new, virtual worlds than improving the world we live in, it’s worth praising the technologists who are stepping up to solve some of our biggest problems.
So here, without further ado, are this year’s Good Tech Awards…
To DeepMind, for cracking the protein problem (and publishing its work)
One of the year’s most exciting A.I. breakthroughs came in July when DeepMind — a Google-owned artificial intelligence company — published data and open-source code from its groundbreaking AlphaFold project.
The project, which used A.I. to predict the structures of proteins, solved a problem that had vexed scientists for decades, and was hailed by experts as one of the greatest scientific discoveries of all time. And by publishing its data freely, AlphaFold set off a frenzy among researchers, some of whom are already using it to develop new drugs and better understand the proteins involved in viruses like SARS-CoV-2.
Google’s overall A.I. efforts have been fraught with controversy and missteps, but AlphaFold seems like an unequivocally good use of the company’s vast expertise and resources…
To Recidiviz and Ameelio, for bringing better tech to the criminal justice system
Prisons aren’t known as hotbeds of innovation. But two tech projects this year tried to make our criminal justice system more humane.
Recidiviz is a nonprofit tech start-up that builds open-source data tools for criminal justice reform. It was started by Clementine Jacoby, a former Google employee who saw an opportunity to corral data about the prison system and make it available to prison officials, lawmakers, activists and researchers to inform their decisions. Its tools are in use in seven states, including North Dakota, where the data tools helped prison officials assess the risk of Covid-19 outbreaks and identify incarcerated people who were eligible for early release….(More)”.
Research Anthology on Citizen Engagement and Activism for Social Change
Book by the Information Resources Management Association (IRMA): “Activism and the role everyday people play in making a change in society are increasingly popular topics in the world right now, especially as younger generations begin to speak out. From traditional protests to activities on college campuses, to the use of social media, more individuals are finding accessible platforms with which to share their views and become more actively involved in politics and social welfare. With the emergence of new technologies and a spotlight on important social issues, people are able to become more involved in society than ever before as they fight for what they believe. It is essential to consider the recent trends, technologies, and movements in order to understand where society is headed in the future.
The Research Anthology on Citizen Engagement and Activism for Social Change examines a plethora of innovative research surrounding social change and the various ways citizens are involved in shaping society. Covering topics such as accountability, social media, voter turnout, and leadership, it is an ideal work for activists, sociologists, social workers, politicians, public administrators, sociologists, journalists, policymakers, social media analysts, government administrators, academicians, researchers, practitioners, and students….(More)”.
Whistleblowing for Change: Exposing Systems of Power and Injustice
Open Access book edited by Tatiana Bazzichelli: “The courageous acts of whistleblowing that inspired the world over the past few years have changed our perception of surveillance and control in today’s information society. But what are the wider effects of whistleblowing as an act of dissent on politics, society, and the arts? How does it contribute to new courses of action, digital tools, and contents? This urgent intervention based on the work of Berlin’s Disruption Network Lab examines this growing phenomenon, offering interdisciplinary pathways to empower the public by investigating whistleblowing as a developing political practice that has the ability to provoke change from within…(More)”.
CoFoE: deliberative democracy more accountable than elections and polls
Article by Eleonora Vasques: “Deliberative democracy processes are more democratic than general elections or surveys, according to Conference on the Future of Europe (CoFoE) participants and experts of the second panel on democracy gathered in Florence last weekend.
CoFoE is a deliberative democracy experiment where 800 citizens, divided into four thematic panels, deliberate recommendations to discuss and vote on with lawmakers.
The panel on European democracy, values, rights, the rule of law, and security, recently approved 39 recommendations on anti-discrimination, democracy, the rule of law, EU institutional reforms, the building of a European identity, and the strengthening of citizen participation.
“Usually, the way we try to understand what people think is through elections or opinion polls. However, I think both methods are biased. They rather ‘freeze’ a debate, imposing the discussion, without asking people what they want. Thus, it is good that people here speak about their own will. And they do not necessarily use the same categories utilised by electoral campaigns and opinion polls,” Oliver Roy, professor at the European University Institute and one of the panel experts, told journalists…
Similarly, citizens selected for this panel believe that this democratic exercise is more valuable than mainstream political participation.
“I feel I am living a unique democratic experiment, which goes beyond the majority rule. Democracy is often understood only as a majority rule exercise, with elections. But here, we are demonstrating that democracy is about debating, sharing general ideas from the bottom up that can have an impact,” Max, a participant from Slovakia, told EURACTIV…(More)”.
GDP’s Days Are Numbered
Essay by Diane Coyle: “How should we measure economic success? Criticisms of conventional indicators, particularly gross domestic product, have abounded for years, if not decades. Environmentalists have long pointed out that GDP omits the depletion of natural assets, as well as negative externalities such as global warming. And its failure to capture unpaid but undoubtedly valuable work in the home is another glaring omission. But better alternatives may soon be at hand.
In 2009, a commission led by Joseph Stiglitz, Amartya Sen, and Jean-Paul Fitoussi spurred efforts to find alternative ways to gauge economic progress by recommending a “dashboard” of indicators. Since then, economists and statisticians, working alongside natural scientists, have put considerable effort into developing rigorous wealth-based prosperity metrics, particularly concerning natural assets. The core idea is to create a comprehensive national balance sheet to demonstrate that economic progress today is illusory when it comes at the expense of future living standards.
In an important milestone in March of this year, the United Nations approved a statistical standard relating to the services that nature provides to the economy. That followed the UK Treasury’s publication of a review by the University of Cambridge’s Partha Dasgupta setting out how to integrate nature in general, and biodiversity in particular, into economic analysis. With the consequences of climate change starting to become all too apparent, any meaningful concept of economic success in the future will surely include sustainability.
The next steps in this statistical endeavor will be to incorporate measures of social capital, reflecting the ability of communities or countries to act collectively, and to extend measurement of the household sector. The COVID-19 pandemic has highlighted how crucial this unpaid work is to a country’s economic health. For example, the US Bureau of Labor Statistics intends to develop a more comprehensive concept of living standards that includes the value of such activity….(More)”.
Data for Common Purpose: Leveraging Consent to Build Trust
Report by the World Economic Forum: “Over the past few decades, the digital world has been a breeding ground for bad actors, data breaches, and dark patterns of data collection and use. Shifting individuals’ perceptions away from skepticism to a position of trust is no easy task with no easy answers. This report provides a pragmatic approach to strengthen the engagement of individuals and positively affect the experiences of those who contribute data for the common good…(More)”.