Search results for "LIBRARY"

Digital Trace Data in the Study of Public Opinion

2016

In this article, we examine the relationship between metrics documenting politics-related Twitter activity with election results and trends in opinion polls. Various studies have proposed the possibility of inferring public opinion based on digital trace data collected on Twitter and even the possibility to predict election results based on aggregates of mentions of political actors. Yet, a systematic attempt at a validation of Twitter as an indicator for political support is lacking. In this article, building on social science methodology, we test the validity of the relationship between various Twitter-based metrics of public attention toward politics with election results and opinion pol…

Social media overload, exhaustion, and use discontinuance : Examining the effects of information overload, system feature overload, and social overlo…

2020

While users’ discontinuance of use has posed a challenge for social media in recent years, there is a paucity of knowledge on the relationships between different dimensions of overload and how overload adversely affects users’ social media discontinuance behaviors. To address this knowledge gap, this study employed the stressor–strain–outcome (SSO) framework to explain social media discontinuance behaviors from an overload perspective. It also conceptualized social media overload as a multidimensional construct consisting of system feature overload, information overload, and social overload. The proposed research model was empirically validated via 412 valid questionnaire responses collecte…

Mutual informing between IS Academia and Practice: Insights from KIWISR-5

2011

Publisher's version of an article published in the journal: Communications of the Association for Information Systems. Also available from the publisher at: http://aisel.aisnet.org/cais/vol29/iss1/7 The relationship between Information Systems (IS) scholars and IS practitioners has been debated since the birth of the IS discipline. How are academics interacting with practice, and how should we? In this article we propose that academia-practice collaboration, namely “mutual informing,” is an existential aspect of the Information Systems field. This article is based on presentations, discussions, group work, and a debate that took place during the Fifth Kristiansand International Workshop on …

Quo vadis nanomedicine?

2015

The interdisciplinary workshop ‘Quo Vadis Nanomedicine?’ was held on 10–11 April 2014 at the University of Exeter (Exeter, UK), coorganized by the Schumpeter-Research Group ‘Innovations in Nanomedicine’, funded by the VolkswagenStiftung at Exeter University, and the Sonderforschungsbereich (STB; collaborative research centre) 1066 ‘Nanodimensional Polymer Therapeutics for Tumor Therapy’, funded by the German Research Council (DFG) at the Johannes Gutenberg-University (Mainz, Germany). This international workshop brought together scientists, philosophers and social scientists in order to reflect, discuss and rethink the practices, concepts, methods, models and metaphors, as well as the medi…

Reply to Dal Moro

2013

Visualization of Memory Map Information in Embedded System Design

2018

Data compression is a common requirement for displaying large amounts of information. The goal is to reduce visual clutter. The approach given in this paper uses an analysis of a data set to construct a visual representation. The visualization is compressed using the address ranges of the memory structure. This method produces a compressed version of the initial visualization, retaining the same information as the original. The presented method has been implemented as a Memory Designer tool for ASIC, FPGA and embedded systems using IP-XACT. The Memory Designer is a user-friendly tool for model based embedded system design, providing access and adjustment of the memory layout from a single v…

Architecture Enabling Adaptation of Data Integration Processes for a Research Information System

2018

Abstract Today, many efforts have been made to implement information systems for supporting research evaluation activities. To produce a good framework for research evaluation, the selection of appropriate measures is important. Quality aspects of the systems’ implementation should also not be overlooked. Incomplete or faulty data should not be used and metric computation formulas should be discussed and valid. Correctly integrated data from different information sources provide a complete picture of the scientific activity of an institution. Knowledge from the data integration field can be adapted in research information management. In this paper, we propose a research information system f…

Towards a critical understanding of data visualisation in democracy: a deliberative systems approach

2021

Data and data visualisations – in the forms of graphs, charts and maps – are becoming an increasingly important feature of social, public and political life. Yet within existing scholarship, the democratic significance of data visualisations has thus far received minimal attention. This article offers a first systematic attempt to make sense of and scrutinise the role of data visualisation in democracy. We apply deliberative systems theory in the analysis of three original case studies to elucidate how data visualisation can integrate into the overall anatomy of democracy, and to normatively assess how data visualisation contributes towards key democratic ideals. Conclusively, we highlight …

Capturing methodological trends in mobile communication studies

2013

This study investigates methodological trends in mobile communication studies. The articles published over the past 20 years in five journals (Communication Research, Journal of Communication, Journal of Computer-Mediated Communication, New Media & Society, and Information, Communication & Society) are analysed. The results show that the quantitative and qualitative studies have increased while theoretical accounts have remained few. The quantitative approach is the most applied. The studied articles reflect a structural problem of science communication that stems from the lack of cumulativity of scientific results and cross-national analyses and from the standard length of articles that po…

Comprehensive Strategy for Proton Chemical Shift Prediction: Linear Prediction with Nonlinear Corrections

2014

A fast 3D/4D structure-sensitive procedure was developed and assessed for the chemical shift prediction of protons bonded to sp3carbons, which poses the maybe greatest challenge in the NMR spectral parameter prediction. The LPNC (Linear Prediction with Nonlinear Corrections) approach combines three well-established multivariate methods viz. the principal component regression (PCR), the random forest (RF) algorithm, and the k nearest neighbors (kNN) method. The role of RF is to find nonlinear corrections for the PCR predicted shifts, while kNN is used to take full advantage of similar chemical environments. Two basic molecular models were also compared and discussed: in the MC model the desc…