A5042040259- Opinion Dynamics and Social Influence
- Wikis in Education and Collaboration
- Privacy, Security, and Data Protection
- Open Source Software Innovations
- Blockchain Technology Applications and Security
- Complex Network Analysis Techniques
- Social Media and Politics
- Evolutionary Game Theory and Cooperation
- Cognitive Science and Mapping
- Scientific Research and Philosophical Inquiry
- Neural dynamics and brain function
- Action Observation and Synchronization
- Knowledge Management and Sharing
- Cognitive Science and Education Research
- Mobile Crowdsensing and Crowdsourcing
- Team Dynamics and Performance
- Experimental Behavioral Economics Studies
- Social Capital and Networks
- E-Government and Public Services
- Big Data and Business Intelligence
- Smart Cities and Technologies
- Ethics and Social Impacts of AI
- Information Systems Theories and Implementation
- Freedom of Expression and Defamation
- Neural Networks and Reservoir Computing
University of Warsaw
2013-2022
Center for Social and Economic Research
2019
Institute for Social Research
2015
The topical landscape of psychology is highly compartmentalized, with distinct phenomena explained and investigated recourse to theories methods that have little in common. Our aim this article identify a basic set principles underlie otherwise diverse aspects human experience at all levels psychological reality, from neural processes group dynamics. core idea neural, behavioral, mental, social structures emerge through the synchronization lower-level elements (e.g., neurons, muscle...
Integrating social and sensor networks can transform big data, if treated as a knowledge commons, into higher form of collective awareness that motivate users to self-organize create innovative solutions various socioeconomic problems. The Web extra at http://youtu.be/xSoAvMNZSL8 is video in which author Jeremy Pitt expands on his article "Transforming Big Data Collective Awareness" discusses how integrating it's
Computer simulations, one of the most powerful tools science, have many uses.This paper concentrates on benefits to social science researcher.Based our, somewhat paradoxical experiences we had when working with computer argue that main benefit for researchers who work simulations is develop a mental model abstract process they are simulating.The development results in deeper understating and capacity predict both behavior system its reaction changes control parameters interventions.By...
Polarization of group opinions - a natural mechanism that enables groups to stay intrinsically cohesive explains why after multiple interactions individual and shift towards the extremes. Recently, significant polarization can be witnessed in public discourse many Western societies range topics. We argue here prevalence social media together with its specific design may amplify dynamics strengthen divisions. present an agent based model wherein implementation mechanisms properties leads...
In this position paper, we argue that a new methodological paradigm and software platform is required for developing citizen-oriented social computing applications. The propose based on the idea of 'Collective Intelligence as Service', grounded in formalisation computational models derived from an empirical analysis psychological processes practices. This turn provides enablers radically innovative tools sustainability computer-supported collective action smart communities (e.g. Smart...
In an increasingly instrumented and inter-connected digital world, citizens generate vast amounts of data, much it personal, nearly all valuable. However, controlling who can collect it, limiting what they do with determining how best to protect remain deeply undecided issues. This position paper proposes a socio-technical solution based on collective awareness informed consent, whereby data collection protection norms are configured by the users themselves, using collaborative participatory...
The traditional supply-side model of energy generation and use is changing rapidly. Two major, inter-dependent problems that electric power grids currently face are sustainability in the long run dealing with peaks lows demand short term.
Rapid development of information and communications technologies (ICT) has triggered profound changes in how people manage their social contacts both informal professional contexts. ICT mediated communication may seem limited possibilities compared to face-to-face encounters, but research shows that puzzlingly often it can be just as effective satisfactory. We posit users employ specific strategies adapted particular channels, which results a comparable effectiveness communication. In order...
Advances in information and communication technologies (ICT) have fueled the rise of peer production community, a type socio-technical system that self-organizes to deliver products or services created distributed manner. These novel modes production, examples which include such successful projects as Wikipedia, GNU/Linux, Project Gutenberg, defy expectations standard organizations - they open rather than enclose knowledge motivate contribution through social monetary incentives. Optimists...
Information and communication technology (ICT) enabled social media platforms facilitate, at one level, interaction, management of contacts, the promotion self-exposure. On another they arguably meet a profound need for opportunities to pursue sociallyvaluable projects, free exercise constitutive human capacities, on hitherto unprecedented scale. Alongside these significant benefits, there are also some downsides, example in potential violation privacy breach data regulations [1],...
Data harvesting and profiling have become a de facto business model for many businesses in the digital economy. The surveillance of individual persons through their use private sector platforms has well-understood effect on personal autonomy democratic institutions. In this article, we explore consequences implementing data-rich services public specifically dangers inherent to undermining universality reach services, implicit endorsement platform operators by government, inability members...
The speed of social and technological changes is constantly increasing. Change a pre-requisite for economic development but this increasing carries additional costs that may largely affect the ability systems to adopt them. While financial constitute limit adoption, psychological also profoundly change adoption potential. In an agent-based model heterogeneous population adopters we explore consequences novelty introduction on their satisfaction degree which new trends permeate system. We...
Many online peer production systems (e.g. Wikipedia or Open Source Software communities) strive to deliver high quality intellectual goods that could compare with commercial products. While is key the communities’ success – widespread adoption of their products it not clear what makes some succeed, while others provide subpar outcomes fail entirely. Quality articles has been previously related number editors writing them diversity editors’ competences. Here we tested hypothesis cohesiveness...
Turn-taking is the most basic sequential process in group interactions. However, few studies have analyzed how turn-taking patterns impact dynamics and outcomes. Research has shown that interactions usually takes form of a dyadic ABA pattern, which two speakers talk interchangeably. In this paper, we propose groups discussing controversial topic (abortion rights), transmit conflict. It was found correlate with reciprocal exchanges contradictory arguments, which, when prolonged, escalate into...
We present the results of our research on Wikiproject Tropical Cyclones, and readership articles about hurricanes cyclones that this curates. According to findings, Cyclones delivers highest quality content all Wikiprojects English Wikipedia. also find both editing tropical are highly correlated with cyclones’ occurrences, which indicates Wikipedia is a go-to source for many people - finding important policymakers.
In this paper we present a theoretical framework for novelty based feedback regulation in artificial neural networks. Novelty is assessed on the basis of monitoring coherence network dynamics. The result detection dynamically coupled to parameters that control dynamics recognition process. presents new measure - strength local field and simulation results concerning detection. It also integrates previously published models into general dynamical model regulation.