New methods help identify what drives sensitive or socially unacceptable behaviors


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)”

Time to step away from the ‘bright, shiny things’? Towards a sustainable model of journalism innovation in an era of perpetual change


Paper by Julie Posetti: “The news industry has a focus problem. ‘Shiny Things Syndrome’ –obsessive pursuit of technology in the absence of clear and research-informed strategies – is the diagnosis offered by participants in this research. The cure suggested involves a conscious shift by news publishers from being technology-led, to audience-focused and technology-empowered.

This report presents the first research from the Journalism Innovation Project anchored within the Reuters Institute for the Study of Journalism at the University of Oxford. It is based on analysis of discussions with 39 leading journalism innovators from around the world, representing 27 different news publishers. The main finding of this research is that relentless, high-speed pursuit of technology-driven innovation could be almost as dangerous as stagnation. While ‘random acts of innovation’, organic experimentation, and willingness to embrace new technology remain valuable features of an innovation culture, there is evidence of an increasingly urgent requirement for the cultivation of sustainable innovation frameworks and clear, longer-term strategies within news organisations.

Such a ‘pivot’ could also address the growing problem of burnout associated with ‘innovation fatigue’. To be effective, such strategies need to be focused on engaging audiences – the ‘end users’ – and they would benefit from research-informed innovation ‘indicators’.

The key themes identified in this report are:
a. The risks of ‘Shiny Things Syndrome’ and the impacts of ‘innovation fatigue’ in an era of perpetual change
b. Audiences: starting (again) with the end user
c. The need for a ‘user-led’ approach to researching journalism innovation and developing foundational frameworks to support it

Additionally, new journalism innovation considerations are noted, such as the implications of digital technologies’ ‘unintended consequences’, and the need to respond innovatively to media freedom threats – such as gendered online harassment, privacy breaches, and orchestrated disinformation campaigns….(More)”.

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


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)”

Parliament and the people


Report by Rebecca Rumbul, Gemma Moulder, and Alex Parsons at MySociety: “The publication and dissemination of parliamentary information in developed countries has been shown to improve citizen engagement in governance and reduce the distance between the representative and the represented. While it is clear that these channels are being used, it is not clear how they are being used, or why some digital tools achieve greater reach or influence than others.

With the support of the Indigo Trust, mySociety has undertaken research to better understand how digital tools for parliamentary openness and engagement are operating in Sub-Saharan Africa, and how future tools can be better designed and targeted to achieve greater social impact. Read the executive summary of the report’s conclusions.

The report provides an analysis of the data and digital landscapes of four case study countries in Sub-Saharan Africa (KenyaNigeriaSouth Africa and Uganda), and interrogates how digital channels are being used in those countries to create and disseminate information on parliamentary activity. It examines the existing academic and practitioner literature in this field, compares and contrasts the landscape in each case study country, and provides a thematic overview of common and relevant factors in the operation of digital platforms for democratic engagement in parliamentary activity…(More)”.

Public Attitudes Toward Computer Algorithms


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)”.

Sidewalk Labs: Privacy in a City Built from the Internet Up


Harvard Business School Case Study by Leslie K. John, Mitchell Weiss and Julia Kelley: “By the time Dan Doctoroff, CEO of Sidewalk Labs, began hosting a Reddit “Ask Me Anything” session in January 2018, he had only nine months remaining to convince the people of Toronto, their government representatives, and presumably his parent company Alphabet, Inc., that Sidewalk Labs’ plan to construct “the first truly 21st-century city” on the Canadian city’s waterfront was a sound one. Along with much excitement and optimism, strains of concern had emerged since Doctoroff and partners first announced their intentions for a city “built from the internet up” in Toronto’s Quayside district. As Doctoroff prepared for yet another milestone in a year of planning and community engagement, it was almost certain that of the many questions headed his way, digital privacy would be among them….(More)”.

What’s inside the black box of digital innovation?


George Atalla at Ernst and Young: “Analysis of the success or failure of government digital transformation projects tends to focus on the technology that has been introduced. Seldom discussed is the role played by organizational culture and by a government’s willingness to embrace new approaches and working practices. And yet factors such as an ability to transcend bureaucratic working styles and collaborate with external partners are just as vital to success as deploying the right IT…

The study, Inside the Black Box: Journey Mapping Digital Innovation in Government, used a range of qualitative research tools including rich pictures, journey maps and self-reporting questionnaires to tease out individual characteristics of team members, team sentiment, organizational governance and the role played by cultural factors. The approach was unique in that it captured the nuances of the process of digital innovation, rather than merely measuring inputs and outputs.

The aim of the study was to look inside the “black box” of digital transformation to find out what really goes on within the teams responsible for delivery. In every case, the implementation journey involved ups and downs, advances and setbacks, but there were always valuable lessons to learn. We have extracted the six key insights for governments, outlined below, to provide guidance for government and public sector leaders who are embarking on their own innovation journey…(More)”.

Citizen-generated evidence for a more sustainable and healthy food system


Research Report by Bill Vorley:  “Evidence generation by and with low-income citizens is particularly important if policy makers are to improve understanding of people’s diets and the food systems they use, in particular the informal economy. The informal food economy is the main route for low-income communities to secure their food, and is an important source of employment, especially for women and youth. The very nature of informality means that the realities of poor people’s lives are often invisible to policymakers. This invisibility is a major factor in exclusion and results in frequent mismatches between policy and local realities. This paper focuses on citizen-generated evidence as a means for defending and improving the food system of the poor. It clearly outlines a range of approaches to citizen-generated evidence including primary data collection and citizen access to and use of existing information….(More)”.

The Power Of The Wikimedia Movement Beyond Wikimedia


Michael Bernick at Forbes: “In January 2017, we the constituents of Wikimedia, started an ambitious discussion about our collective future. We reflected on our past sixteen years together and imagined the impact we could have in the world in the next decades. Our aim was to identify a common strategic direction that would unite and inspire people across our movement on our way to 2030, and help us make decisions.”…

The final documents included a strategic direction and a research report: “Wikimedia 2030: Wikimedia’s Role in Shaping the Future of the Information Commons”: an expansive look at Wikimedia, knowledge, technologies, and communications in the next decade. It includes thoughtful sections on Demographics (global population trends, and Wikimedia’s opportunities for growth) Emerging Platforms (how Wikimedia platforms will be accessed), Misinformation (how content creators and technologists can work toward a product that is trustworthy), Literacy (changing forms of learning that can benefit from the Wikimedia movement) and the core Wikimedia issues of Open Knowledge and knowledge as a service.

Among its goals, the document calls for greater outreach to areas outside of Europe and North America (which now account for 63% of Wikimedia’s total traffic), and widening the knowledge and experiential bases of contributors. It urges greater access through mobile devices and other emerging hardware; and expanding partnerships with libraries, museums, galleries and archives.

The document captures not only the idealism of the enterprise, and but also why Wikimedia can be described as a movement not only an enterprise. It calls into question conventional wisdoms of how our political and business structures should operate.

Consider the Wikimedia editing process that seeks to reach common ground on contentious issues. Lisa Gruwell, the Chief Advancement Officer of the Wikimedia Foundation, notes that in the development of an article, often editors with diverging claims and views will weigh in.  Rather than escalating divisions, the process of editing has been found to reduce these divisions. Gruwell explains,

Through the collaborative editing process, the editors have critical discussions about what reliable sources say about a topic. They have to engage and defend their own perspectives about how an article should be represented, and ultimately find some form of common ground with other editors.

A number of researchers at Harvard Business School led by Shane Greenstein, Yuan Gu and Feng Zhu actually set out to study this phenomenon. Their findings, published in 2017 as a Harvard Business School working paper found that editors with different political viewpoints tended to dialogue with each other, and over time reduce rather than increase partisanship….(More)”.

Follow the Money: How to Track Federal Funding to Local Governments


Research Report by Megan RandallTracy GordonSolomon Greene and Erin Huffer: “To respond effectively to state and federal policy changes, city leaders, non-profit service providers, advocates, and researchers all need accurate data on how federal funds flow to local governments. Unfortunately, those data are spread across multiple sources that are often indecipherable or inaccessible to non-experts. The purpose of this guide is to help data users navigate the patchwork of primary data sources and online portals that show how the federal government distributes funding to local governments. We drew on the literature, an inventory of online resources, interviews with local and federal officials, and Urban Institute research staff experience to catalog available data on federal-local transfers. We describe the strengths, weaknesses, and best uses of various data sources and portals and provide guidance on where users can find information to understand trends or how their community stands relative to its peers. Our guide concludes with simple recommendations for how to improve data quality, comparability, and usability at all levels of government….(More)”.