Conferences  >  Informatics  >  Social Networks and Social Aspects of Information Technology

Association for Computing Machinery (ACM)

The ACM International Conference on Supporting Group Work (GROUP) is a premier yet intimate and welcoming venue for research on Computer Supported Cooperative Work, Sociotechnical Studies, Practice-Centered Computing, Human Computer Interaction, Computer Supported Collaborative Learning, and related endeavors. GROUP 2022/23 works to integrate new hybrid participation formats and encourage research into broader questions across society and computing, while being truly international and interdisciplinary in organizational structure, as well as in participants.

Human-Computer Interaction, User Experience,    e-Business, e-Government, Software as a service (SaaS)

Leibniz Institute for Psychology (ZPID)

We are happy to announce that the 4th Symposium on Big Data and Research Syntheses in Psychology with a special focus on Machine Learning & Open Science will be organized by the Leibniz Institute for Psychology (ZPID). The conference will take place from 8-10 of May 2023 at the DIPF | Leibniz Institute for Research and Information in Education in Frankfurt/Main.

Information & Knowledge Management, Big Data Computing,    Psychology

ICERM

How can quantitative science inform policy decisions? This workshop is designed to help mathematicians and data scientists leverage their expertise to contribute positively to social justice efforts ranging from small town issues to global concerns. It is intended for those interested in data science, mathematical modeling, and policy interventions. The main technical skill that the workshop will focus on is data storytelling, specifically with an eye towards policy. Data storytelling includes a mix of rhetorical and technical skills. On the technical side, these skills include data visualization, conclusion description, crafting human stories from data (example: the “middle third” technique), all done effectively and ethically, with an eye toward the audience and purpose of the communication. Participants will be exposed to other technical skills through four projects, each of which will have its own project leadership team. In advance of the workshop, participants will be asked to review the project topics and the technical skills each project is meant to develop and will be asked to rank order their group preferences. The plan over the 4-day period is broken into two days of presentations with active participation and exercises, one day of group work on a team project, and one day of presentations/feedback/next steps.

Program Staff;     Phone: [1-401-863-5030];     Email: programstaff@icerm.brown.edu

Monero Konferenco (“MONEROKON”) strives to provide high-quality content that brings together global scientists, researchers, and subject-matter experts to present state-of-the-art developments in their respective fields. In addition to presentations that addresses the science, engineering, and the mathematics of blockchain technology, we are also keen to receive multidisciplinary submissions that touch on the wider implications of this emerging technology in relation to art, sociology, psychology, politics, philosophy, ecology, and law. Along with 20-minute presentations, we welcome 60-minute lectures, self-organized panel discussions with 3-6 panelist, and hands-on workshops/tutorials.

Event Secretariat;     Email: orga@monerokon.com

cryptography, blockchain, cryptocurrency, privacy

Banff International Research Station (BIRS) / UBCO

Contextual integrity is a framework for formalizing context of data use, and offers a descriptive categorization of information flows as either appropriate or inappropriate based upon the context and cultural norms. This workshop will combine tools from differential privacy and contextual integrity to develop context-based prescriptions for the use and implementation of differential privacy. It will bring together a multi-disciplinary team of privacy researchers from computer science, information science, statistics, business, law, and public policy to address this multifaceted challenge.

USENIX Association

The 2023 USENIX Conference on Privacy Engineering Practice and Respect (PEPR '23) will take place at the Hyatt Regency Santa Clara, in Santa Clara, CA, USA, on September 11–12, 2023. PEPR is focused on designing and building products and systems with privacy and respect for their users and the societies in which they operate. Our goal is to improve the state of the art and practice of building for privacy and respect and to foster a deeply knowledgeable community of both privacy practitioners and researchers who collaborate towards that goal.

Akaki Tsereteli State University

One of the basic peculiarities of contemporary world is an Internet and information technology development and their intensive introduction in various spheres of social life. In this respect it is important to review new scientific and practical research results in the Internet and information technology sphere and sharing the opinion and experience of scientists employed in this sphere. The review of opportunities and problems national Internet-segment and information technology, understanding of their role and importance in the country’s social-economic development is very urgent at the contemporary stage of development. The conference aims at review Internet and information technology use new research results in different spheres of social development.

Internet Technologies and Applications Internet legislation Social Networks E-Learning E-Business E-Government Information Society Computer Networks and Communications Modeling and Simulation Database and Data Mining Cloud Computing Enterprise Resource Planning Geographic Information System ICT in Education and Science ICT in Medicine and Health Care

Weizenbaum Institute for the Networked Society - The conference is co-organized by the International Labor Organization (ILO), Digital Platform Labor (DiPLab), and Wissenschaftszentrum Berlin für Sozialforschung (WZB).

The last few years have been marked by a global economic crisis, strains on both institutions and labor markets, and unprecedented disruptions in the mobility of goods and people. Covid-19 has profoundly affected the way we work, causing an increase in people turning to digital labor platforms to deal with the uncertainties of an unstable economy. Even in the formal sector, remote work and automation have led to dramatic changes in the workplace. In navigating this new reality, it is crucial to examine how these changes are impacting workers, businesses, and society as a whole.

By bringing together researchers, workers, policymakers, and practitioners, the INDL-6 conference “Digital Labor in the wake of Pandemic Times” addresses the latest developments and challenges in the fields of technology-mediated labor, platformization, and automation.

Konferenzsekretariat;     Email: camilla.salim.wagner@tu-berlin.de

Digital labor, technology-mediated labor, platformization, automation

Sociology,    Economics, Business and Marketing

Association for Computing Machinery (ACM)

SEIT Lab, Department of Computer Science, University of Cyprus

The International Conference on Behavioural and Social Computing (BESC) is a major international forum that brings together academic researchers and industry practitioners from artificial intelligence, computational social sciences, natural language processing, business and marketing, and behavioural and psychological sciences to present updated research efforts and progresses on foundational and emerging interdisciplinary topics of BESC, exchange new ideas and identify future research directions. The BESC series of conferences are technically sponsored by IEEE SMC (Systems, Man and Cybernetics) Society as well as IEEE CIS (Computational Intelligence Society) (currently pending approval for the 2023 edition) and the proceedings are published by IEEE.

Phone: [+35722892693];     Email: george@ucy.ac.cy

Social Computing, Computational Social Science and Applications • Computational models of social phenomena • Social behaviour • Social network analysis • Semantic web • Collective intelligence • Security, privacy, trust in social contexts • Social recommendation • Social influence and social contagions • Quantifying offline phenomena through online data • Forecasting of social phenomena • Science and technology studies approaches to computational social science • Social media and health behaviours • Social psychology and personality • New theories, methods, and objectives in computational social science Digital Humanities • Digital media • Digital humanities • Digital games and learning • Digital footprints and privacy • Crowd dynamics • Digital arts • Digital healthcare • Activity streams and experience design • Virtual communities (e.g., open-source, multiplayer gaming, etc.) Information Management and Information Systems (IS) • Decision analytics • E-Business • Decision analytics • Computational finance • Societal impacts of IS • Human behaviour and IS • IS in healthcare • IS security and privacy • IS strategy, structure and organizational impacts • Service science and IS Natural Language Processing • Web mining and its social interpretations • Sentiment Analysis, Stylistic Analysis, and Argument Mining • Opinion mining and social media analytics • Credibility of online content • Computational Linguistics • Mining big social data • Cognitive Modelling and Psycholinguistics Behaviour and User Modelling, Privacy, and Ethics • Behaviour change • Positive technology • Personalization for individuals, groups and populations • Large scale personalization, adaptation and recommendation • Web dynamics and personalization • Privacy, perceived security and trust • Technology and Wellbeing • Ethics of computational research on human behaviour Technology Enhanced Learning (TEL) • E-Learning and M-Learning • Open and Distance Learning • User modeling and personalization in TEL • TEL in secondary and in higher education • New tools for TEL

CIRM – Centre International de Rencontres Mathématiques

Scientific Computing and Data Science,    Information & Knowledge Management, Big Data Computing