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Stefaan Verhulst

Report by the Brennan Center for Justice: “The Department of Homeland Security (DHS) is rapidly expanding its collection of social media information and using it to evaluate the security risks posed by foreign and American travelers. This year marks a major expansion. The visa applications vetted by DHS will include social media handles that the State Department is set to collect from some 15 million travelers per year.1 Social media can provide a vast trove of information about individuals, including their personal preferences, political and religious views, physical and mental health, and the identity of their friends and family. But it is susceptible to misinterpretation, and wholesale monitoring of social media creates serious risks to privacy and free speech. Moreover, despite the rush to implement these programs, there is scant evidence that they actually meet the goals for which they are deployed…(More)”

Social Media Monitoring: How the Department of Homeland Security Uses Digital Data in the Name of National Security

Book edited by Vitor Nazário Coelho, Igor Machado Coelho, Thays A.Oliveira and Luiz Satoru  Ochi: “This book presents up-to-date information on the future digital and smart cities. In particular, it describes novel insights about the use of computational intelligence techniques and decentralized technologies, covering urban aspects and services, cities governance and social sciences. The topics covered here range from state-of-the-art computational techniques to current discussions regarding drones, blockchain, smart contracts and cryptocurrencies.


The idealization of this material emerged with a journey of free knowledge exchange from a diverse group of authors, who met each other through four different events (workshops and special sessions) organized with the purpose of boosting the concepts surrounding smart cities.
We believe that this book comprises innovative and precise information regarding state-of-the-art applications and ideas for the future of cities and society. It will surely be useful not only for the academic community but also to the industry professionals and city managers….(More)”.

Smart and Digital Cities: From Computational Intelligence to Applied Social Sciences

Paper by Bruni, Luigino and Pelligra, Vittorio and Reggiani, Tommaso and Rizzolli, Matteo: “In mainstream business and economics, prizes such as the Presidential Medal of Freedom are understood as special types of incentives, with the peculiar features of being awarded in public, and of having largely symbolic value. Informed by both historical considerations and philosophical instances, our study defines fundamental theoretical differences between incentives and prizes. The conceptual factors highlighted by our analytical framework are then tested through a laboratory experiment. The experimental exercise aims to analyze how prizes and incentives impact actual individuals’ behavior differently. Our results show that both incentives (monetary and contingent) and prizes (non-monetary and discretional rewards) boost motivation to perform if awarded publicly, but only prizes crowd-in motivation promoting virtuous attitude….(More)”.

The Pied Piper: Prizes, Incentives, and Motivation Crowding-In

Book by Batya Friedman and David G. Hendry: “Implantable medical devices and human dignity. Private and secure access to information. Engineering projects that transform the Earth. Multigenerational information systems for international justice. How should designers, engineers, architects, policy makers, and others design such technology? Who should be involved and what values are implicated? In Value Sensitive Design, Batya Friedman and David Hendry describe how both moral and technical imagination can be brought to bear on the design of technology. With value sensitive design, under development for more than two decades, Friedman and Hendry bring together theory, methods, and applications for a design process that engages human values at every stage.

After presenting the theoretical foundations of value sensitive design, which lead to a deep rethinking of technical design, Friedman and Hendry explain seventeen methods, including stakeholder analysis, value scenarios, and multilifespan timelines. Following this, experts from ten application domains report on value sensitive design practice. Finally, Friedman and Hendry explore such open questions as the need for deeper investigation of indirect stakeholders and further method development….(More)”.

Value Sensitive Design: Shaping Technology with Moral Imagination

Book edited by Anna Visvizi, Miltiadis D. Lytras, and György Mudri: “Written by leading academics and practitioners in the field, Smart Villages in the EU and Beyond offers a detailed insight into issues and developments that shape the debate on smart villages, together with concepts, developments and policymaking initiatives including the EU Action for Smart Villages.This book derives from the realization that the implications of the increasing depopulation of rural areas across the EU is a pending disaster. This edited collection establishes a framework for action today, which will lead to sustainable revitalization of rural areas tomorrow.Using country-specific case studies, the chapters examine how integrated and ICT-conscious strategies and policy actions focused on wellbeing, sustainability and solidarity could provide a long-term solution in the revitalization of villages across the EU and elsewhere. Best practices pertinent to precision farming, energy diversification, tourism, entrepreneurship are discussed in detail.As an in-depth exploration of the Smart Village on a multinational scale, this book will serve as an indispensable resource for students, researchers and policy leaders in the fields of politics, strategic management and urban and rural studies….(More)”.

Smart Villages in the EU and Beyond

Sarah Perez at Techcrunch: “Facebook… announced a new initiative focused on using its data and technologies to help nonprofit organizations and universities working in public health better map the spread of infectious diseases around the world. Specifically, the company is introducing three new maps: population density maps with demographic estimates, movement maps and network coverage maps. These, says Facebook, will help the health partners to understand where people live, how they’re moving and if they have connectivity — all factors that can aid in determining how to respond to outbreaks, and where supplies should be delivered.

As Facebook explained, health organizations rely on information like this when planning public health campaigns. But much of the information they rely on is outdated, like older census data. In addition, information from more remote communities can be scarce.

By combining the new maps with other public health data, Facebook believes organizations will be better equipped to address epidemics.

The new high-resolution population density maps will estimate the number of people living within 30-meter grid tiles, and provide insights on demographics, including the number of children under five, the number of women of reproductive age, as well as young and elderly populations. These maps aren’t built using Facebook data, but are instead built by using Facebook’s AI capabilities with satellite imagery and census information.

Movement maps, meanwhile, track aggregate data about Facebook users’ movements via their mobile phones (when location services are enabled). At scale, health partners can combine this with other data to predict where other outbreaks may occur next….(More)”.

Facebook releases a trio of maps to aid with fighting disease outbreaks

Paper by Josefin Lassinantti at the International Journal of Public Information Systems: “Despite the growing number of open data, re-use of this data is not reaching the expected levels and now this phenomenon seems hampered in its evolvement. Therefore, this study sets out to characterize the re-use of open data from public sector in order to increase our elaborate understanding of this practice, and does so by performing a literature review inspired by the processes for defining concepts, and contextualized within the historical evolvement of European open data policies. Apart from the identification of three main research approaches towards open data re-use and an elaborated definition of re-use, the findings led to the creation of a framework enabling us to see open data re-use as an iterative value-creating process in two different contexts, the public task context and the non-public task context. This process builds on three categories of meta-activities for reuse practice: 1) gaining access to and understanding data, 2) handling and re-purposing the data, and 3) creating broader value of data, as well as indications of value for whom. Lastly, implications of this re-use process and framework was discussed, along with implications of an identified practice-policy mismatch that risk hampering the future evolvement of open data re-use….(More)”.

Re-Use Of Public Sector Open Data: Characterising The Phenomena

Hamza Jawad at Neowin: “On April 15, a disastrous fire ravaged the famous Notre-Dame cathedral in France. In the wake of the episode, tech companies, such as Apple, announced that they would be donating to help in rebuilding efforts. On the other hand, some companies, like Ubisoft, took a different approach to support the restorations that followed.

A few days ago, Microsoft and Iconem announced the “Open Notre Dame” initiative to contribute towards the restoration of the ‘Lady of Paris’. The open data project is said to help gather and analyze existing documents on the monument, while simultaneously producing and sharing its 3D models. Today, the company has once again detailed the workings of this initiative, along with a call for the sharing of open data to help quicken the restoration efforts….

GitHub will host temporal models of the building, which can then be easily shared to and accessed by various other initiatives in a concerted effort to maintain accuracy as much as possible. Many companies, including Ubisoft, have already provided data that will help form the foundation for these open source models. More details regarding the project can be obtained on the original blog post….(More)”.

Microsoft’s Open Notre Dame initiative calls for sharing of open data in restoration effort

Paper by Dragana Kaurin: “For the millions of refugees fleeing conflict and persecution every year, access to information about their rights and control over their personal data are crucial for their ability to assess risk and navigate the asylum process. While asylum seekers are required to provide significant amounts of personal information on their journey to safety, they are rarely fully informed of their data rights by UN agencies or local border control and law enforcement staff tasked with obtaining and processing their personal information. Despite recent improvements in data protection mechanisms in the European Union, refugees’ informed consent for the collection and use of their personal data is rarely sought. Using examples drawn from interviews with refugees who have arrived in Europe since 2013, and an analysis of the impacts of the 2016 EU-Turkey deal on migration, this paper analyzes how the vast amount of data collected from refugees is gathered, stored and shared today, and considers the additional risks this collection process poses to an already vulnerable population navigating a perilous information-decision gap….(More)”.

Data Protection and Digital Agency for Refugees

Paper by Tiare-Maria Brasseur, Susanne Beck, Henry Sauermann, Marion Poetz: “Recently, both researchers and policy makers have become increasingly interested in involving the general public (i.e., the crowd) in the discovery of new science-based knowledge. There has been a boom of citizen science/crowd science projects (e.g., Foldit or Galaxy Zoo) and global policy aspirations for greater public engagement in science (e.g., Horizon Europe). At the same time, however, there are also criticisms or doubts about this approach. Science is complex and laypeople often do not have the appropriate knowledge base for scientific judgments, so they rely on specialized experts (i.e., scientists) (Scharrer, Rupieper, Stadtler & Bromme, 2017). Given these two perspectives, there is no consensus on what the crowd can do and what only researchers should do in scientific processes yet (Franzoni & Sauermann, 2014). Previous research demonstrates that crowds can be efficiently and effectively used in late stages of the scientific research process (i.e., data collection and analysis). We are interested in finding out what crowds can actually contribute to research processes that goes beyond data collection and analysis. Specifically, this paper aims at providing first empirical insights on how to leverage not only the sheer number of crowd contributors, but also their diversity in experience for early phases of the research process (i.e., problem finding). In an online and field experiment, we develop and test suitable mechanisms for facilitating the transfer of the crowd’s experience into scientific research questions. In doing so, we address the following two research questions: 1. What factors influence crowd contributors’ ability to generate research questions? 2. How do research questions generated by crowd members differ from research questions generated by scientists in terms of quality? There are strong claims about the significant potential of people with experiential knowledge, i.e., sticky problem knowledge derived from one’s own practical experience and practices (Collins & Evans, 2002), to enhance the novelty and relevance of scientific research (e.g., Pols, 2014). Previous evidence that crowds with experiential knowledge (e.g., users in Poetz & Schreier, 2012) or ?outsiders?/nonobvious individuals (Jeppesen & Lakhani, 2010) can outperform experts under certain conditions by having novel perspectives, support the assumption that the participation of non-scientists (i.e., crowd members) in scientific problem-finding might complement scientists’ lack of experiential knowledge. Furthermore, by bringing in exactly these new perspectives, they might help overcome problems of fixation/inflexibility in cognitive-search processes among scientists (Acar & van den Ende, 2016). Thus, crowd members with (higher levels of) experiential knowledge are expected to be superior in identifying very novel and out-of-the-box research problems with high practical relevance, as compared to scientists. However, there are clear reasons to be skeptical: despite their advantage to possess important experiential knowledge, the crowd lacks the scientific knowledge we assume to be required to formulate meaningful research questions. To study exactly how the transfer of crowd members’ experiential knowledge into science can be facilitated, we conducted two experimental studies in context of traumatology (i.e., research on accidental injuries). First, we conducted a large-scale online experiment (N=704) in collaboration with an international crowdsourcing platform to test the effect of two facilitating treatments on crowd members’ ability to formulate real research questions (study 1). We used a 2 (structuring knowledge/no structuring knowledge) x 2 (science knowledge/no science knowledge) between-subject experimental design. Second, we tested the same treatments in the field (study 2), i.e., in a crowdsourcing project in collaboration with LBG Open Innovation in Science Center. We invited patients, care takers and medical professionals (e.g., surgeons, physical therapists or nurses) concerned with accidental injuries to submit research questions using a customized online platform (https://tell-us.online/) to investigate the causal relationship between our treatments and different types and levels of experiential knowledge (N=118). An international jury of experts (i.e., journal editors in the field of traumatology) then assesses the quality of submitted questions (from the online and field experiment) along several quality dimensions (i.e., clarity, novelty, scientific impact, practical impact, feasibility) in an online evaluation process. To assess the net effect of our treatments, we further include a random sample of research questions obtained from early-stage research papers (i.e., conference papers) into the expert evaluation (blind to the source) and compare them with the baseline groups of our experiments. We are currently finalizing the data collection…(More)”.

Crowdsourcing Research Questions? Leveraging the Crowd’s Experiential Knowledge for Problem Finding

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