Liberation Technology

Curated on Posted on by Stefaan Verhulst

Tim Keary at the Stanford Social Innovation Review: “Human traffickers have forced hundreds of women, children, and men into sexual slavery in Colombia during the past decade. According to Colombia’s Ministry of the Interior and Justice, 686 cases of human trafficking occurred within the country from January 2013 to July 2020. Many of those seized were women, children, and Venezuelan migrants.

To combat this crime, Migración Colombia, the nation’s border control agency; the US Bureau of Population, Refugees, and Migration (PRM); and the International Organization for Migration (IOM) launched a mobile application called LibertApp last July. Pressing the app’s panic button immediately sends the user’s live geolocation data to the Colombian Ministry of the Interior’s Anti-Human Trafficking Operations Center (COAT), where an expert anti-trafficking team investigates the report.

The app also functions as a resource hub for information and prevention. It offers an educational module (available in both English and Spanish) that explains what human trafficking is, who is the most at risk, and the most common strategies that traffickers use to isolate and exploit victims. LibertApp also includes a global directory of consulates’ contact information that users can access for support.

While COAT and Migración Colombia now manage the app, IOM, an international organization that supports migrant communities and advises national governments on migration policy, developed the original concept, provided technical support, created user profiles, and built the educational module. IOM saw LibertApp as a new tool to support high-risk groups such as Venezuelan migrants and refugees. “It is necessary to permanently search for different strategies for the prevention of trafficking” and to ensure the “rescue of victims who are in Colombia or abroad,” says Ana Durán-Salvatierra, IOM Colombia’s chief of mission….

PRM funded the app, which had a budget of $15,000. The investment was part of the department’s overall contribution through the United Nations appeal known as the Refugee and Migrant Response Plan, a global initiative that had granted a total of $276.4 million to Colombia as of November 2020.

In less than a year of operation, 246 people have used the app to make reports, culminating in a handful of investigations and rescues. The most notable success story occurred last summer when COAT received a report from LibertApp that led to the rescue of a Venezuelan minor from a bar in Maní, in the Casanare region of Colombia, that was being run as a brothel. During the raid, authorities captured two Colombian citizens alleged to have managed the establishment and who coerced 15 women into sexual slavery….(More)”

Unlocking Responsible Access to Data to Increase Equity and Economic Mobility

Curated on Posted on by Stefaan Verhulst

Report by the Markle Foundation and the Bill and Melinda Gates Foundation (BMGF): “Economic mobility remains elusive for far too many Americans and has been declining for several decades. A person born in 1980 is 50% less likely to earn more than their parents than a person born in 1950 is. While all children who grow up in low-opportunity neighborhoods face mobility challenges, racial, ethnic, and gender disparities add even more complexity. In 99% of neighborhoods in America, Black boys earn less, and are more likely to fall into poverty, than white boys, even when they grow up on the same block, attend the same schools, and have the same family income. In 2016, a Pew Research study found that the median wealth of white households was ten times the median wealth of Black households and eight times that of Hispanic households. The COVID-19 pandemic has further exacerbated existing disparities, as communities of color suffer higher exposure and death rates, along with greater job loss and increased food and housing insecurity.

Reversing this overall decline to address the persistent racial, ethnic, and gender gaps in economic mobility is one of the great challenges of our time. Some progress has been made in identifying the causes and potential solutions to declining mobility, yet policymakers, researchers, and the public still lack access to critical data necessary to understand which policies, programs, interventions, and investments are most effective at creating opportunity for students and workers, particularly those struggling with intergenerational poverty. Data collected across all levels of governments, nonprofit organizations, and private sector companies can help answer foundational policy and research questions on what drives economic mobility. There are promising efforts underway to improve government data infrastructure and processes at both the federal and state levels, but critical data often remains siloed, and legitimate concerns about privacy and civil liberties can make data difficult to share. Often, data on vulnerable populations most in need of services is of poor quality or is not collected at all.

To tackle this challenge, the Bill and Melinda Gates Foundation (BMGF) and the Markle Foundation (Markle) spent much of 2020 working with a diverse range of experts to identify strategic opportunities to accelerate progress towards unlocking data to improve policymaking, answer foundational research questions, and ensure that individuals can easily and responsibly access the information they need to make informed decisions in a rapidly changing environment….(More)”.

Freedom of Information Act—How Open is Public Access to Government Data?

Curated on Posted on by Stefaan Verhulst

US Government Accountability Office: “The Freedom of Information Act (FOIA) establishes a legal right for individuals and organizations to request access to government information. In FY 2019, federal agencies reported that they processed nearly 878,000 FOIA requests for government information, an increase of 32% since FY 2012.  

In honor of Sunshine Week—an annual observation that promotes open government—today’s WatchBlog post looks at our recent reports on agencies’ implementation of laws that seek to improve the public’s access to government information.

What does the government disclose as part of open government laws?

FOIA requires agencies to publicly post certain information without waiting for specific requests and report on these disclosures annually. These proactive disclosures include final opinions, administrative staff manuals, and records that have been requested 3 or more times.

In our March report, we assessed agency policies related to these disclosures. Among other things, we found that the Department of Housing and Urban Development did not report proactively disclosing any records from FY 2017 through 2019. Similarly, we found that the Veterans Health Administration and the Federal Aviation Administration did not report the number of records disclosed for all required categories in FY 2019.

We made 8 recommendations to help improve compliance with these requirements.

What might the government not disclose under FOIA?

FOIA requires agencies to provide the relevant records in response to a request unless an exemption applies to limit the disclosure of that information, such as withholding classified national defense or foreign policy information. The graphic below provides more detail on FOIA’s 9 exemptions.

Pie Chart showing federal exemptions to FOIA by category

In FY 2019, agencies denied approximately 34,000 requests based on exemptions. More than half of these requests were related to law enforcement and investigations….(More)”.

Unlocking benefits for agriculture with FAIR data

Curated on Posted on by Stefaan Verhulst

Toolkit by CABI: “The Data Sharing Toolkit contains seven eLearning modules with supporting case studies, checklists, cheat sheets and guides. All the modules help demystify how to use, collect and share Findable, Accessible, Interoperable and Reusable (FAIR) and safeguarded data for you, and, for the people in agriculture you wish to empower.

Step 1 Login or sign-up for a free CABI Academy account to get started

Step 2 Start at Module 1 if you are new to data, or simply —

Step 3 Start with whichever module resonates most with your project needs, as you don’t need to do all seven to upskill in FAIR data.

Seven modules with seven guiding questions:

Each question supports best practice for FAIR and safeguarded data in investments in agriculture around the world, in support of the Bill & Melinda Gates Foundation grantees and program officers….(More)”.

Connecting parliaments: Harnessing digital dividends to increase transparency and citizen engagement

Curated on Posted on by Stefaan Verhulst

Paper by Julia Keutgen and Rebecca Rumbul: “…The overarching argument of this paper is that parliamentary digital transformation is a relatively underfunded area of work, but a vitally important one in achieving the very common overarching goals of open, accountable, inclusive and participative government. Improvements in how parliamentary digital capacity building can be done better are possible with better strategy, funding and cooperation, and when parliaments are enthusiastic and willing to take the opportunities offered to them to improve themselves.

Now more than ever, digital transformation has become essential for parliaments. Such transformation can have a significant impact in making parliaments more transparent and accountable and can enable them to leverage greater public interest and engagement in the legislative and electoral processes.

Good external digital engagement requires parliaments to review their own internal digital structures, assess where development and investment are needed, and how digital improvement will assist in achieving their goals. Differential priorities in the needs of the parliament or societal actors can form a guide, according to which specific areas for digital development might be prioritised. These steps require long-term investment, which should go in parallel with the digital transformation of the Executive. However, because a country’s digital transformation is primarily the preserve of the Executive, it can bypass the legislature and may be almost disproportionately influenced by the ruling party. Uneven digital transformation between public bodies and the legislature may weaken the profile and legitimacy of the legislature itself. Furthermore, governments that effectively restrict digital development within the legislature are essentially restricting democratic integrity.

Besides the long-term process of building and developing infrastructure, short-term pilot projects can be useful to test approaches and begin building the digital infrastructure of the future. Properly targeted funding, to achieve specified digital transformation goals, agreed in collaboration with the development agencies operating in target areas, can yield significant dividends in improving the digital democracy ecosystem. This approach can neutralise harmful, short-termist and wasteful approaches to digital deficiency, and remove the ability of the more unscrupulous parliaments to play development agencies off against each other to leverage greater rewards or resources.

Digital transformation of parliaments requires better strategy, funding and cooperation on the part of donors and implementers as parliaments are enthusiastic and willing to take the opportunities offered by digitalisation….(More)”.

A Victory for Scientific Pragmatism

Curated on Posted on by Stefaan Verhulst

Essay by Arturo Casadevall, Michael J. Joyner, and Nigel Paneth:”…The convalescent plasma controversy highlights the need to better educate physicians on the knowledge problem in medicine: How do we know what we know, and how do we acquire new knowledge? The usual practice guidelines doctors rely on for the treatment of disease were not available for the treatment of Covid-19 early in the pandemic, since these are usually issued by professional societies only after definitive information is available from RCTs, a luxury we did not have. The convalescent plasma experience supports Devorah Goldman’s plea to consider all available information when making therapeutic decisions.

Fortunately, the availability of rapid communication through pre-print studies, social media, and online conferences have allowed physicians to learn quickly. The experience suggests the value of providing more instruction in medical schools, postgraduate education, and continuing medical education on how best to evaluate evidence — especially preliminary and seemingly contradictory evidence. Just as physicians learn to use clinical judgment in treating individual patients, they must learn how to weigh evidence in treating populations of patients. We also need greater nimbleness and more flexibility from regulators and practice-guideline groups in emergency situations such as pandemics. They should issue interim recommendations that synthesize the best available evidence, as the American Association of Blood Bankers has done for plasma, recognizing that these recommendations may change as new evidence accumulates. Similarly, we all need to make greater efforts to educate the public to understand that all knowledge in medicine and science is provisional, subject to change as new and better studies emerge. Updating and revising recommendations as knowledge advances is not a weakness but a foundational strength of good medicine….(More)”.

Open data in action: initiatives during the initial stage of the COVID-19 pandemic

Curated on Posted on by Stefaan Verhulst

Report by OECD and The GovLab: “The COVID-19 pandemic has increased the demand for access to timely, relevant, and quality data. This demand has been driven by several needs: taking informed policy actions quickly, improving communication on the current state of play, carrying out scientific analysis of a dynamic threat, understanding its social and economic impact, and enabling civil society oversight and reporting.


This report…assesses how open government data (OGD) was used to react and respond to the COVID-19 pandemic during initial stage of the crisis (March-July 2020) based on initiatives collected through an open call for evidence. It also seeks to transform lessons learned into considerations for policy makers on how to improve OGD policies to better prepare for future shocks…(More)”.

World Development Report 2021: Data for Better Lives — Leveraging greater value from data to help the poor

Curated on Posted on by Stefaan Verhulst

Report by the World Bank: “Data has become ubiquitous—with global data flows increasing one thousand times over the last 20 years. What is not always appreciated is the extent to which data offer the potential to improve people’s lives, including the poor and those living in lower-income countries.

Consider this example. The Indian state of Odisha is susceptible to devastating cyclones. When disaster struck in 1999, as many as 10,000 people lost their lives. This tragedy prompted the Odisha State Disaster Management Authority to invest heavily in weather forecast data. When another, similarly powerful storm struck in 2013, the capture and broadcast of early warning data allowed nearly one million people to be evacuated to safety, slashing the death toll to just 38.

Data’s direct benefits on lives and livelihoods can come not only from government initiatives, as in Odisha, but also through a plethora of new private business models. Many of us are familiar with on-demand ride-hailing platforms that have revolutionized public transportation in major cities. In Nigeria, the platform business Hello Tractor has adapted the concept of a ride-hailing platform allowing farmers to rent agricultural equipment on demand and increase their agricultural productivity.

Furthermore, Civil Society Organizations across the world are using crowdsourced data collected from citizens as a way of holding governments accountable. For example, the platform ForestWatchers allows people to directly report deforestation of the Amazon. And in Egypt, the HarrassMap tool allows women to report the location of sexual harassment incidents.

Despite all these innovative uses, data still remain grossly under-utilized, leaving much of the economic and social value of data untapped. Collecting and using data for a single purpose without making it available to others for reuse is a waste of resources.  By reusing and combining data from both public and private sources, and applying modern analytical techniques, merged data sets can cover more people, more precisely, and more frequently.  Leveraging these data synergies can bring real benefits….(More)”.

The (Im)possibility of Fairness: Different Value Systems Require Different Mechanisms For Fair Decision Making

Curated on Posted on by Stefaan Verhulst

Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian at Communications of the ACM: “Automated decision-making systems (often machine learning-based) now commonly determine criminal sentences, hiring choices, and loan applications. This widespread deployment is concerning, since these systems have the potential to discriminate against people based on their demographic characteristics. Current sentencing risk assessments are racially biased, and job advertisements discriminate on gender. These concerns have led to an explosive growth in fairness-aware machine learning, a field that aims to enable algorithmic systems that are fair by design.

To design fair systems, we must agree precisely on what it means to be fair. One such definition is individual fairness: individuals who are similar (with respect to some task) should be treated similarly (with respect to that task). Simultaneously, a different definition states that demographic groups should, on the whole, receive similar decisions. This group fairness definition is inspired by civil rights law in the U.S. and U.K. Other definitions state that fair systems should err evenly across demographic groups. Many of these definitions have been incorporated into machine learning pipelines.

In this article, we introduce a framework for understanding these different definitions of fairness and how they relate to each other. Crucially, our framework shows these definitions and their implementations correspond to different axiomatic beliefs about the world. We present two such worldviews and will show they are fundamentally incompatible. First, one can believe the observation processes that generate data for machine learning are structurally biased. This belief provides a justification for seeking non-discrimination. When one believes that demographic groups are, on the whole, fundamentally similar, group fairness mechanisms successfully guarantee the top-level goal of non-discrimination: similar groups receiving similar treatment. Alternatively, one can assume the observed data generally reflects the true underlying reality about differences between people. These worldviews are in conflict; a single algorithm cannot satisfy either definition of fairness under both worldviews. Thus, researchers and practitioners ought to be intentional and explicit about world-views and value assumptions: the systems they design will always encode some belief about the world….(More)”.

Hospitals Hide Pricing Data From Search Results

Curated on Posted on by Stefaan Verhulst

Tom McGinty, Anna Wilde Mathews and Melanie Evans at the Wall Street Journal: “Hospitals that have published their previously confidential prices to comply with a new federal rule have also blocked that information from web searches with special coding embedded on their websites, according to a Wall Street Journal examination.

The information must be disclosed under a federal rule aimed at making the $1 trillion sector more consumer friendly. But hundreds of hospitals embedded code in their websites that prevented Alphabet Inc.’s Google and other search engines from displaying pages with the price lists, according to the Journal examination of more than 3,100 sites.

The code keeps pages from appearing in searches, such as those related to a hospital’s name and prices, computer-science experts said. The prices are often accessible other ways, such as through links that can require clicking through multiple layers of pages.

“It’s technically there, but good luck finding it,” said Chirag Shah, an associate professor at the University of Washington who studies human interactions with computers. “It’s one thing not to optimize your site for searchability, it’s another thing to tag it so it can’t be searched. It’s a clear indication of intentionality.”…(More)”.