A5064735018- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
- Evolutionary Game Theory and Cooperation
- Misinformation and Its Impacts
- Mobile Crowdsensing and Crowdsourcing
- Neural and Behavioral Psychology Studies
- Stock Market Forecasting Methods
- Ethics and Social Impacts of AI
- Complex Systems and Time Series Analysis
- Experimental Behavioral Economics Studies
- Advanced Text Analysis Techniques
- COVID-19 epidemiological studies
- Psychology of Social Influence
- Action Observation and Synchronization
- Team Dynamics and Performance
- Scientific Computing and Data Management
- Visual perception and processing mechanisms
- Neural dynamics and brain function
- Evolutionary Algorithms and Applications
- Species Distribution and Climate Change
- Reinforcement Learning in Robotics
- Complex Systems and Decision Making
- Big Data and Business Intelligence
- COVID-19 and Mental Health
- Data Visualization and Analytics
New Jersey Institute of Technology
2021-2025
University of Oxford
2016-2022
Max Planck Institute for Human Development
2019-2022
University of Gothenburg
2021
Massachusetts Institute of Technology
2019-2020
Max Planck Society
2020
Human Media
2019
Aarhus University
2016
Wellcome Centre for Human Neuroimaging
2016
University College London
2016
In a world where ideas flow freely across multiple platforms, people must often rely on others' advice and opinions without an objective standard to judge whether this information is accurate.The present study explores the hypothesis that individual's internal decision confidence can be used as signal learn accuracy of advice, even in absence feedback.According "agreement-inconfidence" hypothesis, about advisor's interactions according offered agrees with their own initial opinions, weighted...
For well over a century, researchers in the field of Collective Intelligence have shown that groups can outperform individuals when making decisions, predictions, and forecasts. The most common methods for harnessing intelligence treats population as "crowd" independent agents provide input isolation form polls, surveys, market transactions. While such crowd-based be effective, they are markedly different from how natural systems harness group intelligence. In world, commonly real-time...
When deciding whether or not to bring an umbrella work, your confidence will be influenced by the sky outside window (direct evidence) as well by, for example, people walking in street have their own (indirect contingent evidence). These 2 distinct aspects of decision yet been assessed independently within same framework. Here we study relative contributions stimulus-specific and social-contingent information on formation. Dyads participants made visual perceptual decisions, first...
From fake accounts on social media and generative-AI bots such as ChatGPT to high-frequency trading algorithms financial markets self-driving vehicles the streets, robots, bots, are proliferating permeating our communication channels, interactions, economic transactions, transportation arteries. Networks of multiple interdependent interacting humans autonomous machines constitute complex adaptive systems where collective outcomes cannot be simply deduced from either human or machine behavior...
Tackling large scale problems like climate change and the Sustainable Development Goals, requires taking a collective approach. Artificial Intelligence (AI) offers tremendous potential to enhance intelligence, both as an actor that contributes solution directly, tool mentor helps coordinate human intelligence. Collective invited experts practitioners highlight key challenges explain how they employ AI advance novel solutions — Christoph Riedl & David De Cremer.
Abstract Many modern interactions happen in a digital space, where automated recommendations and homophily can shape the composition of groups interacting together knowledge that are able to tap into when operating online. Digital also characterized by different scales, from small interest large online communities. Here, we manipulate based on multi-trait profiling space (including demographic, professional, psychological relational variables) explore causal link between group performance as...
Across the natural world, many species have evolved methods for amplifying their decision-making accuracy by thinking together in real-time closed-loop systems. Known as Swarm Intelligence (SI) field of biology, process has been deeply studied schools fish, flocks bird, and swarms bees. The present research looks at human groups tests ability to make financial predictions forming online systems modeled after swarms. Specifically, traders were tasked with predicting weekly trends four common...
Many social interactions are characterized by dynamic interplay, such that individuals exert reciprocal influence over each other's behaviours and beliefs. The present study investigated how the dynamics of affect individual beliefs in a context, above information communicated an interaction. To this end, we developed simple decision-making paradigm which two people asked to make perceptual judgments while receiving about decisions. In Static condition, partner only conveyed their initial,...
Humans are impressive social learners. Researchers of cultural evolution have studied the many biases shaping transmission by selecting who we copy from and what copy. One hypothesis is that with advent superhuman algorithms a hybrid type transmission, namely to humans, may long-lasting effects on human culture. We suggest might show (either learning or design) different behaviours, problem-solving abilities than their counterparts. In turn, algorithmic-human problem solving could foster...
Effective science communication is challenging when scientific messages are informed by a continually updating evidence base and must often compete against misinformation. We argue that we need new program of as collective intelligence—a collaborative approach, supported technology. This would have four key advantages over the typical model where scientists communicate individuals: be (a) wider aggregated knowledge, (b) contributions from diverse community, (c) participatory input...
Abstract Bots’ ability to influence public discourse is difficult estimate. Recent studies found that hyperpartisan bots are unlikely opinion because often interact with already highly polarized users. However, previous focused on direct human-bot interactions (e.g., retweets, at-mentions, and likes). The present study suggests political bots, zealots, trolls may indirectly affect people’s views via a platform’s content recommendation system's mediating role, thus influencing opinions...
In the natural world, many species amplify accuracy of their decision-making abilities by working together real-time closed-loop systems that converge on optimal solutions in synchrony. Known as Swarm Intelligence (SI), process has been deeply studied schools fish, flocks birds, and swarms bees. The present study looks at ability human groups to make decisions an Artificial (ASI) forming similar online. More specifically, tasked typical sports fans with predicting English Premier League...
Many social species amplify their decision-making accuracy by deliberating in real-time closed-loop systems. Known as Swarm Intelligence (SI), this natural process has been studied extensively schools of fish, flocks birds, and swarms bees. The present research looks at human groups tests ability to make financial forecasts working together systems modeled after swarms. Specifically, traders were tasked with forecasting the weekly trends four common market indices (SPX, GLD, GDX, Crude Oil)...
As artificial intelligence becomes ubiquitous in our lives, so do the opportunities to combine machine and human obtain more accurate resilient prediction models across a wide range of domains. Hybrid can be designed many ways, depending on role algorithm hybrid system. This paper offers brief taxonomy intelligence, which describes possible relationships between for robust forecasting. In this taxonomy, biological represents one axis variation, going from individual (one isolation)...
Humans are impressive social learners. Researchers of cultural evolution have studied the many biases that enable solutions and behaviours to spread socially from one human next, selecting whom we copy what copy. In a digital society, algorithmic agents both contribute transmission knowledge. One hypothesis is machines may influence patterns not only by providing means for spreading behavior but also novel behaviors themselves. We propose certain algorithms might show (either learning or...
Abstract Transcranial direct current stimulation (tDCS) as an intervention tool has gained promising results in major depression disorder. However, studies related to subthreshold depression's (SD) cognitive deficits and neuromodulation approaches for the treatment of SD are still rare. We adopted Beck's model tested tDCS effects on attentional memory SD. First, this was a single‐blinded, randomized, sham‐controlled clinical trial determine 13‐day modulation effect 49 (27: Stimulation; 22:...
Abstract Artificial intelligence (AI) is often used to predict human behavior, thus potentially posing limitations individuals’ and collectives’ freedom act. AI's most controversial contested applications range from targeted advertisements crime prevention, including the suppression of civil disorder. Scholars society watchdogs are discussing oppressive dangers AI being by centralized institutions, like governments or private corporations. Some suggest that gives asymmetrical power...
In many domains, imitating others’ behaviour can help individuals to solve problems that would be too difficult or complex for the individuals. collective decision making tasks, people have been shown use confidence as a means communicate uncertainty surrounding internal noisy estimates. Here, we show alignment, namely, shifting average between dyad members towards each other, naturally emerges when interacting with opinions. This alignment has measurable impact on group performance well...
Learning, defined as the process of constructing meaning and developing competencies to act on it, is instrumental in helping individuals, communities, organizations tackle challenges. When these challenges increase complexity require domain knowledge from diverse areas expertise, it becomes difficult for single individuals address them. In this context, collective intelligence, a capacity groups people together solve problems using their knowledge, great importance. Technologies are both...
Abstract Interactions between humans and bots are increasingly common online, prompting some legislators to pass laws that require disclose their identity. The Turing test is a classic thought experiment testing humans’ ability distinguish bot impostor from real human exchanging text messages. In the current study, we propose minimal avoids natural language, thus allowing us study foundations of communication. particular, investigate relative roles conventions reciprocal interaction in...
Abstract Recent studies of “unconscious working memory” have challenged the notion that only visible stimuli can be actively maintained over time. In present study, we investigated neural dynamics subliminal maintenance using multivariate pattern analyses magnetoencephalography recordings (MEG). Subjects were presented with a masked Gabor patch whose angle had to briefly memorized. We show an unprecedented level precision, irrelevant sensory features contrast, frequency and phase are encoded...