DATA Share It Generously, Guard It Jealously

2021 ◽  
Vol 41 (12) ◽  
pp. 20-23
Author(s):  
Ashleen Knutsen
Keyword(s):  
Data Share

scholarly journals Ethics of Location-Based Data in Crisis Situations

2019 ◽  
Vol 1 ◽  
pp. 1-1
Author(s):  
Alan M. MacEachren
Keyword(s):  
Crisis Response ◽  
Ethical Guidelines ◽  
Good Science ◽  
Data Share ◽  
Ethical Implications ◽  
Remotely Sensed Imagery ◽  
Do No Harm ◽  
Share Data ◽  
Crisis Situations

<p><strong>Abstract.</strong> This presentation will provide an overview of a Workshop-based effort on ethics in location-based, organized by the Scientific Responsibility, Human Rights, and Law Program of the American Association for the Advancement of Science (AAAS). More specifically, the AAAS organized three workshops during 2017 and 2018 directed to exploring the ethical implications of collecting, analysing, and acting upon location-based data in crisis situations &amp;ndash; “Developing Ethical Guidelines and Best Practices for the Use of Volunteered Geographic Information and Remotely Sensed Imagery in Crisis Situations.”. The outcome of those workshops and follow up efforts was a document detailing principles and guidelines with the objective of empowering crisis response actors to use location-based data responsibly and ethically.</p><p> On behalf of all those involved, as a Participant in all three workshops and a AAAS Fellow, I will present an overview of the results of this effort. The presentation will outline the five principles developed and provide examples of their motivation and use:</p><ol><li>Do No Harm: Identify and minimize potential risk, particularly as they may affect the vulnerability of individuals and populations</li><li>Define Your Purpose: Ensure action is mission-driven and goal-oriented</li><li>Do Good Science: Employ scientifically rigorous and responsible methods</li><li>Collaborate and Consult: Engage with local partners</li><li>Give Access to Your Data: Share data openly, when safe and practicable</li></ol><p> The presentation will also reflect on (a) the specific relevance of this effort and its outcome for the international cartographic community and (b) our obligation as academic/professional cartographers to address the dual challenges of leveraging locational data cartographically to support crisis management and humanitarian efforts while also guarding against misuse of the data collected and map generated. I will conclude by reflecting on my experience in working with a diverse, interdisciplinary, international group on this hard problem.</p></p>

scholarly journals Greetings as social action in Finland Swedish and Sweden Swedish service encounters – a pluricentric perspective

2018 ◽  
Vol 15 (1) ◽  
pp. 57-88 ◽  
Author(s):  
Jenny Nilsson ◽  
Stefan Norrthon ◽  
Jan Lindström ◽  
Camilla Wide
Keyword(s):  
Social Action ◽  
Service Encounters ◽  
Gaze Behavior ◽  
Data Share ◽  
Cross Cultural Differences ◽  
Greeting Behavior ◽  
Mutual Gaze ◽  
Sequential Organization ◽  
Similarities And Differences ◽  
Swedish Data

Abstract While greetings are performed in all cultures and open most conversations, previous studies suggest that there are cross-cultural differences between different languages in greeting behavior. But do speakers of different national varieties of the same language organize and perform their greeting behavior in similar ways? In this study, we investigate the sequential organization of greetings in relation to gaze behavior in the two national varieties of Swedish: Sweden Swedish spoken in Sweden and Finland Swedish spoken in Finland. In recent years, the importance of studying pluricentric languages from a pragmatic perspective has been foregrounded, not least within the framework of variational pragmatics. To date, most studies have focused on structural differences between national varieties of pluricentric languages. With this study, we extend the scope of variational pragmatics through adding an interactional, micro perspective to the broader macro analysis typical of this field. For this study, we have analyzed patterns for greetings in 297 video-recorded service encounters, where staff and customers interact at theatre box offices and event booking venues in Sweden and Finland. The study shows that there are similarities and differences in greeting behavior between varieties. There is a strong preference for exchanging reciprocal verbal greetings, one at a time, in both. There is also a similar organization of the greeting sequence, where customer and staff establish mutual gaze prior to the verbal greetings, thus signaling availability for interaction. The duration of mutual gaze and the timing of the greeting, however, differ between the two varieties. We have also conducted a multi modal analysis of gaze behavior in correlation to the greeting. We found that the customers and staff in the Finland Swedish data share mutual gaze before and during the verbal greeting, and often avert gaze after the verbal greetings. However, in the Sweden Swedish data, the participants often avert gaze before the verbal greetings. Our results thus indicate that both similarities and differences in pragmatic routines and bodily behavior exist between the two national varieties of Swedish. The present study on greeting practices in Finland Swedish and Sweden Swedish should contribute to the field of variational pragmatics and to the development of pluricentric theory.

scholarly journals Sensory Metrics of Neuromechanical Trust

2017 ◽  
Vol 29 (9) ◽  
pp. 2293-2351
Author(s):  
William Softky ◽  
Criscillia Benford
Keyword(s):  
Computational Models ◽  
Failure Modes ◽  
Internet Gaming Disorder ◽  
Well Being ◽  
Data Share ◽  
Internet Gaming ◽  
Size Groups ◽  
Definition Of ◽  
Human Brains ◽  
Shared Meals

Today digital sources supply a historically unprecedented component of human sensorimotor data, the consumption of which is correlated with poorly understood maladies such as Internet addiction disorder and Internet gaming disorder. Because both natural and digital sensorimotor data share common mathematical descriptions, one can quantify our informational sensorimotor needs using the signal processing metrics of entropy, noise, dimensionality, continuity, latency, and bandwidth. Such metrics describe in neutral terms the informational diet human brains require to self-calibrate, allowing individuals to maintain trusting relationships. With these metrics, we define the trust humans experience using the mathematical language of computational models, that is, as a primitive statistical algorithm processing finely grained sensorimotor data from neuromechanical interaction. This definition of neuromechanical trust implies that artificial sensorimotor inputs and interactions that attract low-level attention through frequent discontinuities and enhanced coherence will decalibrate a brain's representation of its world over the long term by violating the implicit statistical contract for which self-calibration evolved. Our hypersimplified mathematical understanding of human sensorimotor processing as multiscale, continuous-time vibratory interaction allows equally broad-brush descriptions of failure modes and solutions. For example, we model addiction in general as the result of homeostatic regulation gone awry in novel environments (sign reversal) and digital dependency as a sub-case in which the decalibration caused by digital sensorimotor data spurs yet more consumption of them. We predict that institutions can use these sensorimotor metrics to quantify media richness to improve employee well-being; that dyads and family-size groups will bond and heal best through low-latency, high-resolution multisensory interaction such as shared meals and reciprocated touch; and that individuals can improve sensory and sociosensory resolution through deliberate sensory reintegration practices. We conclude that we humans are the victims of our own success, our hands so skilled they fill the world with captivating things, our eyes so innocent they follow eagerly.

Flexible Manufacturing System CNC and the Integration of SmarTeam

2014 ◽  
Vol 915-916 ◽  
pp. 292-296
Author(s):  
Zhi Hua Yuan ◽  
Ji Peng Wang ◽  
Mei Duan
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Production Cycle ◽  
Data Share

Adopt API provided bySmarteam realize CNC subsystem parameter of The ball arrow manufacture and SmarTeam integration base on Re-development of Pro/E，Realize the integrated function of PLM.，This technology scheme has been resolved the data share in the process of The ball arrow manufacture. Have improved the product mass，have shortened production cycle of the product.

The General J2EE-Based Enterprise Information Platform

2013 ◽  
Vol 321-324 ◽  
pp. 2483-2486
Author(s):  
Shi Yu Huan
Keyword(s):  
Heterogeneous Data ◽  
Enterprise Application Integration ◽  
Application Integration ◽  
Enterprise Information ◽  
Information Platform ◽  
Data Share ◽  
Enterprise Application ◽  
Application Programming ◽  
Enterprise Information Platform ◽  
Programming Interfaces

A Enterprise Application Integration system named Enterprise Information Platform is designed and implemented in a J2EE environment to ensure data share across any operating system and network. Based on message mechanism, JMS is used to transfer message and XML is chosen to organize the format of communication data which can provide services and application programming interfaces to integrate heterogeneous data. This system has been successfully used in some enterprise, and its generality, openness, multiplexing and extensiveness has also been proved in practice.

Analysis of Rear-End Conflicts in Urban Networks using Bayesian Networks

2018 ◽  
Vol 2672 (38) ◽  
pp. 302-312 ◽  
Author(s):  
Katerina Stylianou ◽  
Loukas Dimitriou
Keyword(s):  
Weather Conditions ◽  
Contributing Factors ◽  
Urban Network ◽  
Measuring Point ◽  
Data Share ◽  
Urban Networks ◽  
Crash Data ◽  
Vehicle Data ◽  
Traffic Conflict ◽  
The Individual

Crash analysis and modeling studies have provided insightful information on crash-contributing factors and the methodologies utilized provide evidence that they could also be beneficial for conflict analysis, as traffic conflict data share similar traits with crash data. In this study, a Bayesian network (BN) is estimated to comprehensively analyze rear-end conflict likelihood in an urban network, using disaggregate vehicle-by-vehicle data and the time-to-collision indicator to identify conflicts. The variables imported in the BN include (i) individual driver characteristics (e.g., speed); (ii) traffic operational characteristics (e.g., volume); and (iii) general characteristics (e.g., weather conditions). The inference analyses of the BN conducted to quantify the contributions of the variables affecting rear-end conflict likelihood in the urban network showed that rear-end conflict likelihood could be increased when the involved vehicles are of a different type, when the speed of the following vehicle is higher than the speed of the leading vehicle, when the individual speed is high when the individual headway is small, with a higher coefficient of variation of speed values, when the type of intersection nearest to the measuring point was a priority intersection, when the carriageway was of dual design, and when it was rainy. It was also shown that rear-end conflict likelihood increases during congestion and free-flow traffic. The findings of this study could be further developed to provide a good understanding of contributing factors to possible crashes in the urban network.

Sign in / Sign up

Export Citation Format

Share Document