scholarly journals First Issue Editorial

2009 ◽  
Vol 1 (1) ◽  
Author(s):  
John M. Abowd ◽  
Kobbi Nissim ◽  
Chris J. Skinner
Keyword(s):  
Social Scientists ◽  
Role Of Government ◽  
Online Purchases ◽  
Statistical Disclosure Limitation ◽  
Scientific Analysis ◽  
Human Endeavor ◽  
Statistical Disclosure ◽  
Computer Scientists ◽  
Privacy And Confidentiality ◽  
Multiple Constituencies

When the founders of this Journal -- Cynthia Dwork, Stephen Fienberg and Alan Karr -- made its initial call for papers, they and we identified many constituencies that participate in the scientific analysis of privacy and confidentiality. Statisticians, particularly those working within national statistical offices, have developed the field of statistical disclosure limitation. Com- puter scientists contribute work in privacy-preserving data-mining and cryptographic analyses of privacy. Lawyers and social scientists study the role of government and regulation in the creation and protection of individual and business privacy. Health researchers struggle with the trade-off between a patient’s privacy and the contribution to science that access to inte- grated medical records might allow. Survey designers in all fields of human endeavor wrestle with methods of enticing survey cooperation under a variety of ethical and privacy guarantees. Gargantuan online services gather petabytes of data on search queries, online purchases, e-mail exchanges, and other social network interactions while pushing their computer scientists to exploit the corporate asset these data represent without damaging the companies’ ability to do future business by breaching the confidence of their client/users. And many, many data users from all of the fields listed above perform analyses that are conditioned on the privacy and confidentiality protections imposed on their work without all the means to assess the consequences of those measures on the inferences they have made. We are certainly not the first journal to venture into this domain. But we are the first journal to solicit actively contributions from the entire community that are aimed at multiple constituencies within that community. We think that a brief illustration of how the research questions share a common theme would provide a useful introduction to this first volume.

scholarly journals The Future of the Journal of Privacy and Confidentiality

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Cynthia Dwork
Keyword(s):  
Open Access ◽  
Current Issue ◽  
Open Access Journal ◽  
Social Scientists ◽  
Policy Makers ◽  
The Future ◽  
Computer Scientists ◽  
Community Of Researchers ◽  
Privacy And Confidentiality ◽  
Broad Community

The Journal of Privacy and Confidentiality (JPC) is the only journal to actively solicit contributions from the multi-faceted community of researchers and practitioners for whom privacy is a primary intellectual or operational concern, for dissemination across this broad community. This includes computer scientists, statisticians, lawyers, social scientists, policy-makers, health researchers, survey designers, and data-rich corporate players. While not every publication is aimed so broadly, the Journal aims to provide a common forum for all these constituent populations. With the publication of the current issue we re-launch the Journal of Privacy and Confidentiality. We reaffirm our dedication to drawing from multiple disciplines in which privacy and confidentiality are of primary intellectual and operational concern, and to maintaining our status as an open access journal providing a forum for communication across and between these disciplines.

Ubiquitous Music

2015 ◽  
Vol 17 (4) ◽  
pp. 20-28
Author(s):  
Flávio Luiz Schiavoni ◽  
Leandro Costalonga
Keyword(s):  
Computer Science ◽  
Research Field ◽  
Point Of View ◽  
Computer Scientist ◽  
Social Scientists ◽  
The World ◽  
Computer Scientists

Ubimus is a research field that merges Ubicomp and music and studies the influence of ubiquitous devices and applications in Music. This field has been explored by musicians and social scientists around the world helped by a countless number of computer scientists. Nevertheless, it is not easy to a novice computer scientist understand Ubimus concepts and specially how to take part of this research field. Based on this, the authors present in this paper a point of view of Ubimus associating fields in computer science and hardware and software definitions and suggestions to be explored with Ubimus.

61. GP PERSPECTIVES ON PARTNER NOTIFICATION FOR CHLAMYDIA

Sexual Health ◽  
2007 ◽  
Vol 4 (4) ◽  
pp. 308
Author(s):  
N. Pavlin ◽  
R. Parker ◽  
C. A. Hopkins ◽  
M. J. Temple-Smith ◽  
C. K. Fairley ◽  
...  
Keyword(s):  
Financial Incentives ◽  
Health Workers ◽  
Partner Notification ◽  
Aboriginal Health ◽  
Index Patient ◽  
Role Of Government ◽  
Practice Nurses ◽  
Telephone Interviews ◽  
Computer Based ◽  
Privacy And Confidentiality

As part of a larger, combined qualitative-quantitative study of partner notification, 40 semi-structured in-depth telephone interviews were conducted with General Practitioners (GPs), from Victoria, ACT and Queensland, who had diagnosed at least one case of chlamydia in the last year. Rural doctors and those who had experience working with Aboriginal patients were over-sampled to ensure their views were represented in the study. The interviews explored GPs' current practices with regard to partner notification for chlamydia, barriers they perceived to partner notification for chlamydia in the general practice setting and what resources/incentives they felt would improve partner notification for chlamydia. The GPs in our study primarily ask the index patient to carry out partner notification themselves. It was relatively rare for GPs to have experience of notifying partners on the patient's behalf. Half of the GPs report that they only encourage notification of the patient's current/immediate past partners. There was considerable confusion amongst the GPs interviewed as to the role of government partner notification officers. Many thought that support from a government agency would allow partner notification to occur more effectively. Some were under the impression that this process is automatically activated when they 'notify' that they have diagnosed someone with chlamydia. Some of the main barriers perceived include confusion about issues of privacy and confidentiality with regard to partner notification and the sense that there is a lack of clarity as to what is expected of them in terms of partner notification for chlamydia. Most GPs feel that access to decision support tools and clear guidelines would be helpful. Financial incentives for doing partner notification were seen as particularly important to fund allied health workers' time rather than to pay GPs themselves e.g. for practice nurses and Aboriginal health workers. GPs were enthusiastic about computer based resources to aid in partner notification

scholarly journals Dialog Structure Through the Lens of Gender, Gender Environment, and Power

2017 ◽  
Vol 8 (2) ◽  
pp. 21-55
Author(s):  
Vinodkumar Prabhakaran ◽  
Owen Rambow
Keyword(s):  
Social Context ◽  
Human Behavior ◽  
Social Contexts ◽  
Social Scientists ◽  
Gender Information ◽  
The Social ◽  
Computer Scientists ◽  
Automatic Methods ◽  
And Gender ◽  
Textual Content

Understanding how the social context of an interaction affects our dialog behavior is of great interest to social scientists who study human behavior, as well as to computer scientists who build automatic methods to infer those social contexts. In this paper, we study the interaction of power, gender, and dialog behavior in organizational interactions. In order to perform this study, we first construct the Gender Identified Enron Corpus of emails, in which we semi-automatically assign the gender of around 23,000 individuals who authored around 97,000 email messages in the Enron corpus. This corpus, which is made freely available, is orders of magnitude larger than previously existing gender identified corpora in the email domain. Next, we use this corpus to perform a largescale data-oriented study of the interplay of gender and manifestations of power. We argue that, in addition to one’s own gender, the “gender environment” of an interaction, i.e., the gender makeup of one’s interlocutors, also affects the way power is manifested in dialog. We focus especially on manifestations of power in the dialog structure — both, in a shallow sense that disregards the textual content of messages (e.g., how often do the participants contribute, how often do they get replies etc.), as well as the structure that is expressed within the textual content (e.g., who issues requests and how are they made, whose requests get responses etc.). We find that both gender and gender environment affect the ways power is manifested in dialog, resulting in patterns that reveal the underlying factors. Finally, we show the utility of gender information in the problem of automatically predicting the direction of power between pairs of participants in email interactions.

scholarly journals Encountering #Feminism on Twitter: Reflections on a Research Collaboration between Social Scientists and Computer Scientists

2018 ◽  
Vol 23 (4) ◽  
pp. 763-779 ◽  
Author(s):  
Steve Kirkwood ◽  
Viviene Cree ◽  
Daniel Winterstein ◽  
Alex Nuttgens ◽  
Jenni Sneddon
Keyword(s):  
Social Media ◽  
Social Change ◽  
Research Collaboration ◽  
Learning Technologies ◽  
Media Analysis ◽  
Technological Innovations ◽  
Social Media Analysis ◽  
Social Scientists ◽  
Media Companies ◽  
Computer Scientists

The growth of social media presents an unparalleled opportunity for the study of social change. However, the speed and scale of this growth presents challenges for social scientists, particularly those whose methodologies tend to rely on the qualitative analysis of data that are gathered firsthand. Alongside the growth of social media, companies have emerged which have developed tools for interrogating ‘big data’, although often unconnected from social scientists. It is self-evident that collaboration between social scientists and social media analysis companies offers the potential for developing methods for analysing social change on large scales, bringing together their respective expertise in technological innovations and knowledge of social science. What is less well known is how such a partnership might work in practice. This article presents an example of such a collaboration, highlighting the opportunities and challenges that arose in the context of an exploration of feminism on Twitter. As will be shown, machine-learning technologies allow the analysis of data on a scale that would be impossible for human analysts, yet such approaches also heighten challenges regarding the study of social change and communication.

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