G20/OECD Compendium of good practices on the use of open data for Anti-corruption

Curated on Posted on by Stefaan Verhulst

OECD: “This compendium of good practices was prepared by the OECD at the request of the G20 Anti-corruption Working Group (ACWG), to raise awareness of the benefits of open data policies and initiatives in: 

  • fighting corruption,
  • increasing public sector transparency and integrity,
  • fostering economic development and social innovation.

This compendium provides an overview of initiatives for the publication and re-use of open data to fight corruption across OECD and G20 countries and underscores the impact that a digital transformation of the public sector can deliver in terms of better governance across policy areas.  The practices illustrate the use of open data as a way of fighting corruption and show how open data principles can be translated into concrete initiatives.

The publication is divided into three sections:

Section 1 discusses the benefits of open data for greater public sector transparency and performance, national competitiveness and social engagement, and how these initiatives contribute to greater public trust in government.

Section 2 highlights the preconditions necessary across different policy areas related to anti-corruption (e.g. open government, public procurement) to sustain the implementation of an “Open by default” approach that could help government move from a perspective that focuses on increasing access to public sector information to one that enhances the publication of open government data for re-use and value co-creation. 

Section 3 presents the results of the OECD survey administered across OECD and G20 countries, good practices on the publishing and reusing of open data for anti-corruption in G20 countries, and lessons learned from the definition and implementation of these initiatives. This chapter also discusses the implications for broader national matters such as freedom of press, and the involvement of key actors of the open data ecosystem (e.g. journalists and civil society organisations) as key partners in open data re-use for anti-corruption…(More)”.

New methods help identify what drives sensitive or socially unacceptable behaviors

Curated on Posted on by Stefaan Verhulst

Mary Guiden at Physorg: “Conservation scientists and statisticians at Colorado State University have teamed up to solve a key problem for the study of sensitive behaviors like poaching, harassment, bribery, and drug use.

Sensitive behaviors—defined as socially unacceptable or not compliant with rules and regulations—are notoriously hard to study, researchers say, because people often do not want to answer direct questions about them.

To overcome this challenge, scientists have developed indirect questioning approaches that protect responders’ identities. However, these methods also make it difficult to predict which sectors of a population are more likely to participate in sensitive behaviors, and which factors, such as knowledge of laws, education, or income, influence the probability that an individual will engage in a sensitive behavior.

Assistant Professor Jennifer Solomon and Associate Professor Michael Gavin of the Department of Human Dimensions of Natural Resources at CSU, and Abu Conteh from MacEwan University in Alberta, Canada, have teamed up with Professor Jay Breidt and doctoral student Meng Cao in the CSU Department of Statistics to develop a new method to solve the problem.

The study, “Understanding the drivers of sensitive behavior using Poisson regression from quantitative randomized response technique data,” was published recently in PLOS One.

Conteh, who, as a doctoral student, worked with Gavin in New Zealand, used a specific technique, known as quantitative randomized response, to elicit confidential answers to questions on behaviors related to non-compliance with natural resource regulations from a protected area in Sierra Leone.

In this technique, the researcher conducting interviews has a large container containing pingpong balls, some with numbers and some without numbers. The interviewer asks the respondent to pick a ball at random, without revealing it to the interviewer. If the ball has a number, the respondent tells the interviewer the number. If the ball does not have a number, the respondent reveals how many times he illegaly hunted animals in a given time period….

Armed with the new computer program, the scientists found that people from rural communities with less access to jobs in urban centers were more likely to hunt in the reserve. People in communities with a greater proportion people displaced by Sierra Leone’s 10-year civil war were also more likely to hunt illegally….(More)”

The researchers said that collaborating across disciplines was and is key to addressing complex problems like this one. It is commonplace for people to be noncompliant with rules and regulations and equally important for social scientists to analyze these behaviors….(More)”

Digital Technologies for Transparency in Public Investment: New Tools to Empower Citizens and Governments

Curated on Posted on by Stefaan Verhulst

Paper by Kahn, Theodore; Baron, Alejandro; Vieyra, Juan Cruz: Improving infrastructure and basic services is a central task in the region’s growth and development agenda. Despite the importance of private sector participation, governments will continue to play a defining role in planning, financing, executing, and overseeing key infrastructure projects and service delivery. This reality puts a premium on the efficient and transparent management of public investment, especially in light of the considerable technical, administrative, and political challenges and vulnerability to corruption and rent-seeking associated with large public works.

The recent spate of corruption scandals surrounding public procurement and infrastructure projects in the region underscores the urgency of this agenda. The emergence of new digital technologies offers powerful tools for governments and citizens in the region to improve the transparency and efficiency of public investment. This paper examines the challenges of building transparent public investment management systems, both conceptually and in the specific case of Latin America and the Caribbean, and highlights how a suite of new technological tools can improve the implementation of infrastructure projects and public services. The discussion is informed by the experience of the Inter-American Development Bank in designing and implementing the MapaInversiones platform. The paper concludes with several concrete policy recommendations for the region…. (More)”

Public Attitudes Toward Computer Algorithms

Curated on Posted on by Stefaan Verhulst

Aaron Smith at the Pew Research Center: “Algorithms are all around us, utilizing massive stores of data and complex analytics to make decisions with often significant impacts on humans. They recommend books and movies for us to read and watch, surface news stories they think we might find relevant, estimate the likelihood that a tumor is cancerous and predict whether someone might be a criminal or a worthwhile credit risk. But despite the growing presence of algorithms in many aspects of daily life, a Pew Research Center survey of U.S. adults finds that the public is frequently skeptical of these tools when used in various real-life situations.

This skepticism spans several dimensions. At a broad level, 58% of Americans feel that computer programs will always reflect some level of human bias – although 40% think these programs can be designed in a way that is bias-free. And in various contexts, the public worries that these tools might violate privacy, fail to capture the nuance of complex situations, or simply put the people they are evaluating in an unfair situation. Public perceptions of algorithmic decision-making are also often highly contextual. The survey shows that otherwise similar technologies can be viewed with support or suspicion depending on the circumstances or on the tasks they are assigned to do….

The following are among the major findings.

The public expresses broad concerns about the fairness and acceptability of using computers for decision-making in situations with important real-world consequences

Majorities of Americans find it unacceptable to use algorithms to make decisions with real-world consequences for humans

By and large, the public views these examples of algorithmic decision-making as unfair to the people the computer-based systems are evaluating. Most notably, only around one-third of Americans think that the video job interview and personal finance score algorithms would be fair to job applicants and consumers. When asked directly whether they think the use of these algorithms is acceptable, a majority of the public says that they are not acceptable. Two-thirds of Americans (68%) find the personal finance score algorithm unacceptable, and 67% say the computer-aided video job analysis algorithm is unacceptable….

Attitudes toward algorithmic decision-making can depend heavily on context

Despite the consistencies in some of these responses, the survey also highlights the ways in which Americans’ attitudes toward algorithmic decision-making can depend heavily on the context of those decisions and the characteristics of the people who might be affected….

When it comes to the algorithms that underpin the social media environment, users’ comfort level with sharing their personal information also depends heavily on how and why their data are being used. A 75% majority of social media users say they would be comfortable sharing their data with those sites if it were used to recommend events they might like to attend. But that share falls to just 37% if their data are being used to deliver messages from political campaigns.

Across age groups, social media users are comfortable with their data being used to recommend events - but wary of that data being used for political messaging

In other instances, different types of users offer divergent views about the collection and use of their personal data. For instance, about two-thirds of social media users younger than 50 find it acceptable for social media platforms to use their personal data to recommend connecting with people they might want to know. But that view is shared by fewer than half of users ages 65 and older….(More)”.

The Blockchain and the New Architecture of Trust

Curated on Posted on by Stefaan Verhulst
The Blockchain and the New Architecture of Trust

Book by Kevin Werbach: “The blockchain entered the world on January 3, 2009, introducing an innovative new trust architecture: an environment in which users trust a system—for example, a shared ledger of information—without necessarily trusting any of its components. The cryptocurrency Bitcoin is the most famous implementation of the blockchain, but hundreds of other companies have been founded and billions of dollars invested in similar applications since Bitcoin’s launch. Some see the blockchain as offering more opportunities for criminal behavior than benefits to society. In this book, Kevin Werbach shows how a technology resting on foundations of mutual mistrust can become trustworthy.

The blockchain, built on open software and decentralized foundations that allow anyone to participate, seems like a threat to any form of regulation. In fact, Werbach argues, law and the blockchain need each other. Blockchain systems that ignore law and governance are likely to fail, or to become outlaw technologies irrelevant to the mainstream economy. That, Werbach cautions, would be a tragic waste of potential. If, however, we recognize the blockchain as a kind of legal technology that shapes behavior in new ways, it can be harnessed to create tremendous business and social value….(More)”

Tricky Design: The Ethics of Things

Curated on Posted on by Stefaan Verhulst

Book edited by Tom Fisher and Lorraine Gamman: “Tricky Things responds to the burgeoning of scholarly interest in the cultural meanings of objects, by addressing the moral complexity of certain designed objects and systems.

The volume brings together leading international designers, scholars and critics to explore some of the ways in which the practice of design and its outcomes can have a dark side, even when the intention is to design for the public good. Considering a range of designed objects and relationships, including guns, eyewear, assisted suicide kits, anti-rape devices, passports and prisons, the contributors offer a view of design as both progressive and problematic, able to propose new material and human relationships, yet also constrained by social norms and ideology. 

This contradictory, tricky quality of design is explored in the editors’ introduction, which positions the objects, systems, services and ‘things’ discussed in the book in relation to the idea of the trickster that occurs in anthropological literature, as well as in classical thought, discussing design interventions that have positive and negative ethical consequences. These will include objects, both material and ‘immaterial’, systems with both local and global scope, and also different processes of designing. 

This important new volume brings a fresh perspective to the complex nature of ‘things‘, and makes a truly original contribution to debates in design ethics, design philosophy and material culture….(More)”

Information and Technology in Open Justice

Curated on Posted on by Stefaan Verhulst

Introduction by Mila Gasco-Hernandez and Carlos Jimenez-Gomezto to Special Issue of Social Science Computer Review:  “The topic of open justice has only been little explored perhaps due to its traditionally having been considered a “closed” field. There is still a need to know what open justice really means, to explore the use of information and technology in enabling open justice, and to understand what openness in the judiciary can do to improve government, society, and democracy. This special issue aims to shed light on the concept of openness in the judiciary by identifying and analyzing initiatives across the world….(More)”.

Regulating the Regulators: Tracing the Emergence of the Political Transparency Laws in Chile

Curated on Posted on by Stefaan Verhulst

Conference Paper by Bettina Schorr: “Due to high social inequalities and weak public institutions, political corruption and the influence of business elites on policy-makers are widespread in the Andean region. The consequences for the opportunities of sustainable development are serious: regulation limiting harmful business activities or (re-)distributive reforms are difficult to achieve and public resources often end up as private gains instead of serving development purposes.

Given international and domestic pressures, political corruption has reached the top of the political agendas in many countries. However, frequently transparency goals do not materialize into new binding policies or, when reforms are enacted, they suffer from severe implementation gaps.

The paper analyses transparency politics in Chile where a series of reforms regarding political transparency were implemented since 2014. Hence, Chile counts among the few successful cases in the region. By tracing the process that led to the emergence of new transparency policies in Chile, the paper elaborates an analytical framework for the explanation of institutional innovation in the case of political transparency. In particular, the study emphasizes the importance of civil society actors´ involvement in the whole policy cycle, particularly in the stages of formulation, implementation and evaluation….(More)”.

Reach is crowdsourcing street criminal incidents to reduce crime in Lima

Curated on Posted on by Stefaan Verhulst

Michael Krumholtz at LATAM Tech: “Unfortunately, in Latin America and many other places around the world, robberies are a part of urban life. Moisés Salazar of Lima has been a victim of petty crime in the streets, which is what led him to create Reach.

The application that markets itself as a kind of Waze for street crime alerts users through a map of incident reports or crimes that display visibly on your phone….

Salazar said that Reach helps users before, during and after incidents that could victimize them. That’s because the map allows users to avoid certain areas where a crime may have just happened or is being carried out.

In addition, there is a panic button that users can push if they find themselves in danger or in need of authorities. After the fact, that data then gets made public and can be analyzed by expert users or authorities wanting to see which incidents occur most commonly and where they occur.

Reach is very similar to the U.S. application Citizen, which is a crime avoidance tool used in major metropolitan areas in the U.S. like New York. That application alerts users to crime reports in their neighborhoods and gives them a forum to either record anything they witness or talk about it with other users….(More)”.

Computers Can Solve Your Problem. You May Not Like The Answer

Curated on Posted on by Stefaan Verhulst

David Scharfenberg at the Boston Globe: “Years of research have shown that teenagers need their sleep. Yet high schools often start very early in the morning. Starting them later in Boston would require tinkering with elementary and middle school schedules, too — a Gordian knot of logistics, pulled tight by the weight of inertia, that proved impossible to untangle.

Until the computers came along.

Last year, the Boston Public Schools asked MIT graduate students Sébastien Martin and Arthur Delarue to build an algorithm that could do the enormously complicated work of changing start times at dozens of schools — and rerouting the hundreds of buses that serve them….

The algorithm was poised to put Boston on the leading edge of a digital transformation of government. In New York, officials were using a regression analysis tool to focus fire inspections on the most vulnerable buildings. And in Allegheny County, Pa., computers were churning through thousands of health, welfare, and criminal justice records to help identify children at risk of abuse….

While elected officials tend to legislate by anecdote and oversimplify the choices that voters face, algorithms can chew through huge amounts of complicated information. The hope is that they’ll offer solutions we’ve never imagined ­— much as Google Maps, when you’re stuck in traffic, puts you on an alternate route, down streets you’ve never traveled.

Dataphiles say algorithms may even allow us to filter out the human biases that run through our criminal justice, social service, and education systems. And the MIT algorithm offered a small window into that possibility. The data showed that schools in whiter, better-off sections of Boston were more likely to have the school start times that parents prize most — between 8 and 9 a.m. The mere act of redistributing start times, if aimed at solving the sleep deprivation problem and saving money, could bring some racial equity to the system, too.

Or, the whole thing could turn into a political disaster.

District officials expected some pushback when they released the new school schedule on a Thursday night in December, with plans to implement in the fall of 2018. After all, they’d be messing with the schedules of families all over the city.

But no one anticipated the crush of opposition that followed. Angry parents signed an online petition and filled the school committee chamber, turning the plan into one of the biggest crises of Mayor Marty Walsh’s tenure. The city summarily dropped it. The failure would eventually play a role in the superintendent’s resignation.

It was a sobering moment for a public sector increasingly turning to computer scientists for help in solving nagging policy problems. What had gone wrong? Was it a problem with the machine? Or was it a problem with the people — both the bureaucrats charged with introducing the algorithm to the public, and the public itself?…(More)”