Hasil untuk "cs.CY"

Isabel Wagner, Eerke Boiten

This paper presents a thematic analysis of an expert focus group considering smart toilets that record health data. The themes that arise indicate risks, many of which could be mitigated but currently are not, suggesting health benefits for the moment override other concerns only in specific application contexts.

Mohamed Abomhara, Sule Yildirim Yayilgan, Marina Shalaginova et al.

This paper discusses concerns pertaining to the absoluteness of the right to privacy regarding the use of biometric data for border control. The discussion explains why privacy cannot be absolute from different points of view, including privacy versus national security, privacy properties conflicting with border risk analysis, and Privacy by Design (PbD) and engineering design challenges.

Daniel Serna-Poot

The growth of smartphone users globally is a factor that educational technologists should not ignore. This ever-growing market will eventually lead to ubiquitous learning (u-learning). The development of specific content should be replaced by the design of content in languages that are compatible with scalable technologies and that will reach the hands of students in the future in an attractive way.

Josimar Chire

Open Data Policies can provide transparency, impulse innovation and citizenship participation. Access to the right data in right time can produce huge benefits to population. But, in Latin America there is not enough interest from governments to promote and use properly. By the other hand, global pandemic has caused many damages in different levels, i.e. Economy, Public Health, Education, etc. The paper opens a discussion about the importance of Open Data Policy to mitigate the impact of Covid-19 and overpass this problem.

Ruijiang Gao, Han Feng

We study the problem of best arm identification with a fairness constraint in a given causal model. The goal is to find a soft intervention on a given node to maximize the outcome while meeting a fairness constraint by counterfactual estimation with only partial knowledge of the causal model. The problem is motivated by ensuring fairness on an online marketplace. We provide theoretical guarantees on the probability of error and empirically examine the effectiveness of our algorithm with a two-stage baseline.

Daniel Schwabe

In this paper we propose a framework characterizing information disorders as disputes of narratives. Such narratives present claims to readers, who must decide whether to accept the statements in the claims as facts. We point out that this process requires establishing connections to moral values, since it has been shown that human decision making is heavily dependent on them. A simple example illustrating how this could be done is given, related to claims about fraud in the US 2020 Presidential elections.

Faheem Hussain, Suzana Brown

Using a case study structure, this research-in-progress paper elaborates the struggles of working on a humanitarian project during the Covid-19 period. The authors identify six specific challenges and propose innovations to address each of these challenges. The challenges are the following: supply chain, design of solutions, human resource development, connectivity, and user data collection. This unprecedented situation has been a testing ground for new innovative solutions for work in conflict zones.

Jens Dittrich, Marcel Maltry

This is an experience report on teaching the undergrad lecture Big Data Engineering at Saarland University in summer term 2020 online. We describe our teaching philosophy, the tools used, what worked and what did not work. As we received extremely positive feedback from the students, in the future, we will continue to use the same teaching model for other lectures.

Nils Clausen

Based on observations it seems that a considerable proportion of university students in Namibia need to enhance their academic performance in regard to be fully competitive in a globalised working environment. This specifically includes thorough understanding of mathematics, as it forms an integral part of modern knowledge disciplines such as information technology and the management sciences. Yet students struggle or fail to engage in relevant coursework, either because of an absence of adequate material, capable educators, their own will power, or a combination thereof. This study aims to investigate the critical factors that are related to academic performance of university students in Namibia.

Rustam Tagiew

Algocracy is the rule by algorithms. This paper summarises technologies useful to create algocratic social machines and presents idealistic examples of their application. In particular, it describes smart contracts and their implementations, challenges of behaviour mining and prediction, as well as game-theoretic and AI approaches to mechanism design. The presented idealistic examples of new algocratic solutions are picked from the reality of a modern state. The examples are science funding, trade by organisations, regulation of rental agreements, ranking of significance and sortition. Artificial General Intelligence is not in the scope of this feasibility study.

Yury Kolotaev, Konrad Kollnig

YouTube plays an ever more important role as a political medium. Yet, the implications are to-date not well understood and difficult to analyse, since access to YouTube's statistics is limited. To address this gap, we surveyed 124 people about their views and experiences around YouTube's political influence. Our results revealed diverse, sometimes conflicting views on YouTube's growing political role, and highlight the need for more research, discussion and possibly regulation.

Aleksander Slominski, Vinod Muthusamy, Vatche Ishakian

The stochastic nature of artificial intelligence (AI) models introduces risk to business applications that use AI models without careful consideration. This paper offers an approach to use AI techniques to gain insights on the usage of the AI models and control how they are deployed to a production application. Keywords: artificial intelligence (AI), machine learning, microservices, business process

Tony Mason, Ada Gavrilovska, David A. Joyner

We outline how we detected programming plagiarism in an introductory online course for a master's of science in computer science program, how we achieved a statistically significant reduction in programming plagiarism by combining a clear explanation of university and class policy on academic honesty reinforced with a short but formal assessment, and how we evaluated plagiarism rates before SIGand after implementing our policy and assessment.

Supriya Sarker, Abdur R. Shahid

This study explores the cyberbullying experience of the high school students in Bangladesh. The motivation of the work is to identify the internet usage and online activities that may cause cyberbullying victimization of the students of the age between 13 and 18. The study also investigates cyberbullying prevalence and impacts both as victimization and perpetration perspectives, discusses their reporting practices to parents, school officials, other adults and suggest policies to teach cyber safety strategy and generate awareness among students.

Andrés Arcia-Moret

TV White Spaces has recently been in the interest of the networking community as an alternative to alleviate the spectrum crunch, incentivizing the need to understand the dynamics of congestion of the occupied spectrum and the quantification of the free spectrum. In this respect, many regulatory organizations may provide references for the legal allocation of the spectrum and therefore allow primary and secondary users to plan their deployments. In this article, we present the motivations and challenges to collect spectrum measurements as a global challenge. We discuss a prototype to massively collect spectrum footprints at low-cost to make it available to communities.

Robin Burke

Recent work on machine learning has begun to consider issues of fairness. In this paper, we extend the concept of fairness to recommendation. In particular, we show that in some recommendation contexts, fairness may be a multisided concept, in which fair outcomes for multiple individuals need to be considered. Based on these considerations, we present a taxonomy of classes of fairness-aware recommender systems and suggest possible fairness-aware recommendation architectures.

Omar Abahmane, Mohamed Binkkour

This paper aims to present the different aspects and characteristics of strategic and operational information and propose a categorization pattern allowing to consider an information as strategic or operational. This categorization is to be used in the two decision making processes to assist its mining, and usage by the two related decision support systems. This is conducted trough the results of an investigative study of information used as basis for strategic decisions inside three different companies.

Mikhail Kaluzhsky

Article about problems of Institutionalization of the payment environment of e-commerce. The author analyzes tendencies of development of payment institutes and prospect of creation of the International financial Centre in Russia on the basis of primary development of e-commerce in spheres B2C and C2C. The author proves, that in the conditions of globalization of the consumer markets the analysis of a role and a place of transboundary private payments in structure of National payment system of the Russian Federation become especially current.

Ian Sommerville

This article discusses the difficulties that arose when attempting to specify and design a large scale digital learning environment for Scottish schools. This had a potential user base of about 1 million users and was intended to replace an existing, under-used system. We found that the potential system users were not interested in engaging with the project and that there were immense problems with system governance. The only technique that we found to be useful were user stories, presenting scenarios of how the system might be used by students and their teachers. The designed architecture was based around a layered set of replaceable services.

Roberto Muñoz, Marta Barría, Cristian Rusu

Virtual Worlds (VWs) are an emerging technology used by a growing number of educational institutions around the world. It is an environment, a way of learning and an educational tool that allows different levels of online interaction. In the course "Programming I", of the career Informatics Engineering at Universidad de Valparaíso, we conducted a pilot experience with the VW of Second Life, in order to evaluate the potential of using VWs in the teaching practice.