Collection

The Wisdom of the Crowd is what science really needs

Curated on September 20, 2016August 3, 2018 by Stefaan Verhulst

Science/Disrupt: “In a world where technology allows for global collaboration, and in a time when we’re finally championing diversity of thought, there are few barriers to getting the right people together to work on some of our most pressing problems. Governments and research labs are attempting to apply this mentality to science through what is known as ‘Citizen Science’ – research conducted in part by the public (amateur scientists) in partnership with the professionals.

The concept of Citizen Science is brilliant: moving science forward, faster, by utilising the wisdom and volume of the crowd. …

But Citizen Science goes beyond working directly with people with specific data to share. Zooniverse – the home of Citizen Science online – lists hundreds of projects which anyone can get involved with to help advance science. From mapping the galaxy and looking for comets, to seeking outAustralian wildlife and helping computers understand animal faces, the projects span across many subjects.

But when you dig deeper into the tasks being asked of these CitizenScientists, you find that – really – it’s a simple data capture activity. There’s no skill involved other than engaging your eyes to see and fingers to click and type. It’s not the wisdom of the crowd which is being tapped into.

You could argue that people are interested purely in being a part of important research – which of course is true for many – but it misses the point that scientists are simply missing out on a great resource of intellect at their fingertips.

There has been a rise of crowdsourced solutions over the last few years. rLoopis an organisation formed over Reddit to propose a Hyperloop transportation capsule; Techfugees is a Global community of technologists who team up to propose and build solutions to problems facing the increasing numbers of refugees around the world; and XPRIZE is an open competition offering winning teams large sums of money and support to solve the global problems they select each year.

The difference between crowdsourcing and Citizen Science is that in the former, a high value is placed on ideas. There’s a general understanding that‘two minds are better than one’ and that by empowering a larger, more diverse pool of people to engage with important and purposeful work, a better solution will be found faster.

With Citizen Science, the mood is that of the public only being capable of playing hide and seek with pictures and completing menial, time consuming work that the scientists are simply too busy to do. …(More)”

Open Government Implementation Model

Curated on September 20, 2016August 20, 2018 by Stefaan Verhulst

KDZ: “The City of Vienna was the first public agency in a German speaking country to develop an Open Government Initative and to commit itself to the concept of Open Data – an open and transparent system that makes city data available to citizens for their further use. Vienna’s first Open Data catalogue has been presented to the public.

The KDZ – Centre for Public Administration Research was contracted by the Chief Executive Office of Vienna to contribute to the Open Government strategy of the City of Vienna. In order to bring the insights and propositions gained to the attention of a wider public, the Open Government Implementation Model has been translated into English.

The KDZ Implementation Model is based on and significantly elaborates the “Open Government Implementation Model” by Lee/Kwak (2011). …(More)

International Fact-Checking Network fact-checkers’ code of principles

Curated on September 19, 2016August 3, 2018 by Stefaan Verhulst

Poynter: “…The following document is the result of consultations among fact-checkers from around the world. It offers conscientious practitioners principles to aspire to in their everyday work.

(1) A COMMITMENT TO NONPARTISANSHIP AND FAIRNESS

We fact-check claims using the same standard for every fact check. We do not concentrate our fact-checking on any one side. We follow the same process for every fact check and let the evidence dictate our conclusions. We do not advocate or take policy positions on the issues we fact-check.

(2) A COMMITMENT TO TRANSPARENCY OF SOURCES

We want our readers to be able to verify our findings themselves. We provide all sources in enough detail that readers can replicate our work, except in cases where a source’s personal security could be compromised. In such cases, we provide as much detail as possible.

(3) A COMMITMENT TO TRANSPARENCY OF FUNDING & ORGANIZATION

We are transparent about our funding sources. If we accept funding from other organizations, we ensure that funders have no influence over the conclusions we reach in our reports. We detail the professional background of all key figures in our organization and explain our organizational structure and legal status. We clearly indicate a way for readers to communicate with us.

(4) A COMMITMENT TO TRANSPARENCY OF METHODOLOGY

We explain the methodology we use to select, research, write, edit, publish and correct our fact checks. We encourage readers to send us claims to fact-check and are transparent on why and how we fact-check.

(5) A COMMITMENT TO OPEN AND HONEST CORRECTIONS

We publish our corrections policy and follow it scrupulously. We correct clearly and transparently in line with our corrections policy, seeking so far as possible to ensure that readers see the corrected version….(More)”

Responsible Data in Agriculture

Curated on September 19, 2016August 3, 2018 by Stefaan Verhulst

Report by Lindsay Ferris and Zara Rahman for GODAN: “The agriculture sector is creating increasing amounts of data, from many different sources. From tractors equipped with GPS tracking, to open data released by government ministries, data is becoming ever more valuable, as agricultural business development and global food policy decisions are being made based upon data. But the sector is also home to severe resource inequality. The largest agricultural companies make billions of dollars per year, in comparison with subsistence farmers growing just enough to feed themselves, or smallholder farmers who grow enough to sell on a year-by-year basis. When it comes to data and technology, these differences in resources translate to stark power imbalances in data access and use. The most well resourced actors are able to delve into new technologies and make the most of those insights, whereas others are unable to take any such risks or divert any of their limited resources. Access to and use of data has radically changed the business models and behaviour of some of those well resourced actors, but in contrast, those with fewer resources are receiving the same, limited access to information that they always have.

In this paper, we have approached these issues from a responsible data perspective, drawing upon the experience of the Responsible Data community1 who over the past three years have created tools, questions and resources to deal with the ethical, legal, privacy and security challenges that come from new uses of data in various sectors. This piece aims to provide a broad overview of some of the responsible data challenges facing these actors, with a focus on the power imbalance between actors, and looking into how that inequality affects behaviour when it comes to the agricultural data ecosystem. What are the concerns of those with limited resources, when it comes to this new and rapidly changing data environment? In addition, what are the ethical grey areas or uncertainties that we need to address in the future? As a first attempt to answer these questions, we spoke to 14 individuals with various perspectives on the sector to understand what the challenges are for them and for the people they work with. We also carried out desk research to dive deeper into these issues, and we provide here an analysis of our findings and responsible data challenges….(More)”

The government technology pitch

Curated on September 18, 2016August 20, 2018 by Stefaan Verhulst

Luke Fretwell at TechCrunch: “Crisis has a history of dictating government technology disruption. We’ve seen this with the anticipation of Soviet Union aerospace and military dominance that sparked the emergence of DARPA, as well as with the response to 9/11 and subsequent establishment of the U.S. Department of Homeland Security.

And, of course, there’s the ongoing, seemingly invisible crisis around security that’s expediting an infusion of public sector funding, particularly in the wake of the U.S. Office of Personnel Management breach that exposed the personal records of millions of federal employees and government contractors.

The Healthcare.gov launch debacle is the most recent and referenced example of crisis spawning government technology progress. The federal government woke to the issues surrounding outdated digital practices — from procurement to technical — and quickly launched two startups of its own: 18F and the U.S. Digital Service (USDS).

The failings of Healthcare.gov and subsequent creation of 18F and USDS has inspired others — such as the state of California, large cities and local governments — to fund a surge in attention to digital — from web to data to security — to address outdated technologies powering the technological infrastructure that runs our governments.

But innovators don’t wait for crises.

They imagine a different path, whether it’s a new approach to solving an old problem or a moonshot that leapfrogs business as usual. They observe the world, realize potential and fund and build engines of change — and forward-thinking, optimistic entrepreneurs and investors are starting to do this with government technology….(More)”

Bouchra Khalili: The Mapping Journey Project

Curated on September 18, 2016August 3, 2018 by Stefaan Verhulst

MOMA (NYC): “This exhibition presents, in its entirety, Bouchra Khalili’s The Mapping Journey Project (2008–11), a series of videos that details the stories of eight individuals who have been forced by political and economic circumstances to travel illegally and whose covert journeys have taken them throughout the Mediterranean basin. Khalili (Moroccan-French, born 1975) encountered her subjects by chance in transit hubs across Europe, North Africa, and the Middle East. Following an initial meeting, the artist invited each person to narrate his or her journey and trace it in thick permanent marker on a geopolitical map of the region. The videos feature the subjects’ voices and their hands sketching their trajectories across the map, while their faces remain unseen.

The stories are presented on individual screens positioned throughout MoMA’s Donald B. and Catherine C. Marron Atrium. In this way, a complex network of migration is narrated by those who have experienced it, refusing the forms of representation and visibility demanded by systems of surveillance, international border control, and the news media. Shown together, the videos function as an alternative geopolitical map defined by the precarious lives of stateless people. Khalili’s work takes on the challenge of developing critical and ethical approaches to questions of citizenship, community, and political agency….(More)”

Civic political engagement and social change in the new digital age

Curated on September 18, 2016August 3, 2018 by Stefaan Verhulst

Koc-Michalska, K. and Vedel, T. in new media & society: “Over recent decades, research on the Internet and political participation has substantially developed, from speculative studies on possible impacts in social and economic life to detailed analyses of organizational usage. In the field of politics, focus is increasingly shifting from understanding organizational, or supply side, to the usage and dimension of citizen engagement. Citizens have various ways to engage in civic political life, with many new forms of engagement facilitated by digital technologies. The question is to what extent these forms of engagement have any impact on society and the way society is governed. More particularly, what forms of engagement have impact, what type of impact is evidenced, is that impact positive or negative, in what ways, and for whom? Phrasing the question in this way recognizes that citizen engagement can have a range of differing impacts, in multifaceted forms, and these impacts may not always be positive for broader society.

Civic political engagement is at the center of political science research, especially concentrating on voting behavior and what are described as traditional forms of political participation: demonstrating, contacting elected representatives, or joining political organizations. While these remain core to democratic society, debates are emerging surrounding new forms of participation offered by new digital wave era technologies. In particular, should we recognize actions facilitated by the participatory opportunities offered by new communication platforms (such as social networks and microblogs) as forms of political participation? The US election campaigns of 2008 and 2012, and Barack Obama’s engagement with interactive communication and empowerment of citizens through his campaigning strategy, has led to new thinking around how political communication can be performed. Obama’s campaign happened against a backdrop of activism among those Karpf (2012) describes as “Internet-mediated issue generalists”: citizens who populate forums, contribute to blogs, and initiate petitions. Data suggest that the mechanisms for facilitating political participation are evolving alongside technological innovations….(More)”

How to advance open data research: Towards an understanding of demand, users, and key data

Curated on September 15, 2016August 20, 2018 by Stefaan Verhulst

Danny Lämmerhirt and Stefaan Verhulst at IODC blog: “…Lord Kelvin’s famous quote “If you can not measure it, you can not improve it” equally applies to open data. Without more evidence of how open data contributes to meeting users’ needs and addressing societal challenges, efforts and policies toward releasing and using more data may be misinformed and based upon untested assumptions.

When done well, assessments, metrics, and audits can guide both (local) data providers and users to understand, reflect upon, and change how open data is designed. What we measure and how we measure is therefore decisive to advance open data.

Back in 2014, the Web Foundation and the GovLab at NYU brought together open data assessment experts from Open Knowledge, Organisation for Economic Co-operation and Development, United Nations, Canada’s International Development Research Centre, and elsewhere to explore the development of common methods and frameworks for the study of open data. It resulted in a draft template or framework for measuring open data. Despite the increased awareness for more evidence-based open data approaches, since 2014 open data assessment methods have only advanced slowly. At the same time, governments publish more of their data openly, and more civil society groups, civil servants, and entrepreneurs employ open data to manifold ends: the broader public may detect environmental issues and advocate for policy changes, neighbourhood projects employ data to enable marginalized communities to participate in urban planning, public institutions may enhance their information exchange, and entrepreneurs embed open data in new business models.

In 2015, the International Open Data Conference roadmap made the following recommendations on how to improve the way we assess and measure open data.

Reviewing and refining the Common Assessment Methods for Open Data framework. This framework lays out four areas of inquiry: context of open data, the data published, use practices and users, as well as the impact of opening data.
Developing a catalogue of assessment methods to monitor progress against the International Open Data Charter (based on the Common Assessment Methods for Open Data).
Networking researchers to exchange common methods and metrics. This helps to build methodologies that are reproducible and increase credibility and impact of research.
Developing sectoral assessments.

In short, the IODC called for refining our assessment criteria and metrics by connecting researchers, and applying the assessments to specific areas. It is hard to tell how much progress has been made in answering these recommendations, but there is a sense among researchers and practitioners that the first two goals are yet to be fully addressed.

Instead we have seen various disparate, yet well meaning, efforts to enhance the understanding of the release and impact of open data. A working group was created to measure progress on the International Open Data Charter, which provides governments with principles for implementing open data policies. While this working group compiled a list of studies and their methodologies, it did not (yet) deepen the common framework of definitions and criteria to assess and measure the implementation of the Charter.

In addition, there is an increase of sector- and case-specific studies that are often more descriptive and context specific in nature, yet do contribute to the need for examples that illustrate the value proposition for open data.

As such, there seems to be a disconnect between top-level frameworks and on-the-ground research, preventing the sharing of common methods and distilling replicable experiences about what works and what does not….(More)”

Crowdsourcing: It Matters Who the Crowd Are

Curated on September 15, 2016August 3, 2018 by Stefaan Verhulst

Paper by Alexis Comber, Peter Mooney, Ross S. Purves, Duccio Rocchini, and Ariane Walz: “Volunteered geographical information (VGI) and citizen science have become important sources data for much scientific research. In the domain of land cover, crowdsourcing can provide a high temporal resolution data to support different analyses of landscape processes. However, the scientists may have little control over what gets recorded by the crowd, providing a potential source of error and uncertainty. This study compared analyses of crowdsourced land cover data that were contributed by different groups, based on nationality (labelled Gondor and Non-Gondor) and on domain experience (labelled Expert and Non-Expert). The analyses used a geographically weighted model to generate maps of land cover and compared the maps generated by the different groups. The results highlight the differences between the maps how specific land cover classes were under- and over-estimated. As crowdsourced data and citizen science are increasingly used to replace data collected under the designed experiment, this paper highlights the importance of considering between group variations and their impacts on the results of analyses. Critically, differences in the way that landscape features are conceptualised by different groups of contributors need to be considered when using crowdsourced data in formal scientific analyses. The discussion considers the potential for variation in crowdsourced data, the relativist nature of land cover and suggests a number of areas for future research. The key finding is that the veracity of citizen science data is not the critical issue per se. Rather, it is important to consider the impacts of differences in the semantics, affordances and functions associated with landscape features held by different groups of crowdsourced data contributors….(More)”