D Helbing
Datos Biográficos
| ID | 223459 |
|---|---|
| NOMBRE | D Helbing |
| NOMBRES | D |
| APELLIDO | Helbing |
| FIRMA | HELBING D |
| AFILIACIONES | ETH Zurich |
| ORCID | 0000-0002-9898-0101 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 56 |
| TOTAL DE CITAS | 61 |
| TOTAL COMO AUTOR | 55 |
| TOTAL COMO EDITOR | 1 |
| PRIMER AÑO DE PUBLICACIÓN | 1994 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 3 |
Semantic urban elements
Architecture, engineering, and construction have increasingly integrated automated tools and digital approaches for urban analysis and design. Many of these approaches are tailored towards either urban Design or urban Science, despite both being central to our understanding of cities. The separation between these two core aspects of urban development introduces multidisciplinary challenges when addressing the consequences of urban phenomena. We p…
Co-designing AI systems with value-sensitive citizen science
As AI systems increasingly influence everyday life, integrating diverse community values is both ethically essential and practically urgent. This paper presents Value-Sensitive Citizen Science (VSCS)—a systematic framework that combines Value-Sensitive Design (VSD) with citizen science to support meaningful public participation in AI development. VSCS addresses gaps in the existing approaches by integrating culturally grounded methods and cogniti…
A replica for our democracies? On using digital twins to enhance deliberative democracy
Revisiting big data optimism
This paper critically examines the growing use of big data algorithms and AI in science, society, and public policy. While these tools are often introduced with the goal of increasing efficiency, the results do not always lead to greater empowerment or fairness for individuals or communities. Persistent issues such as bias, measurement error, and over-reliance on prediction can undermine success and produce outcomes that are neither fair nor tran…
Spatial econometrics to estimate traffic reduction by transforming office space into housing and other land uses
How voting rules impact legitimacy
Collective action is essential for addressing the grand challenges of our time. However, for such action to be successful, decision-making processes must be perceived as legitimate. In this study, we investigate the legitimacy of different voting methods. Using a pre-registered human subject experiment, 120 participants cast their votes using four voting methods: majority voting, combined approval voting, range voting, and the modified Borda coun…
Why converging technologies need converging international regulation
Emerging technologies such as artificial intelligence, gene editing, nanotechnology, neurotechnology and robotics, which were originally unrelated or separated, are becoming more closely integrated. Consequently, the boundaries between the physical-biological and the cyber-digital worlds are no longer well defined. We argue that this technological convergence has fundamental implications for individuals and societies. Conventional domain-specific…
Ethics of smart cities and smart societies
Democratizing air
Indoor air quality (IAQ) is crucial for public health, yet many remain unaware of indoor pollutants. Although Citizen Science has enhanced outdoor air quality understanding, its application to IAQ remains underexplored. This study introduces a new co-creation methodology that addresses key limitations in existing IAQ monitoring practices by integrating value-sensitive design principles and a ‘facilitated emergence’ paradigm. Through three co-crea…
Democracy by Design
Translating citizen-generated air quality data into evidence for shaping policy
The practice of participatory sensing for environment monitoring has rapidly evolved over the years. There has been a steady growth of citizen-based air quality monitoring projects that aim to build partnerships, knowledge-sharing platforms, awareness, and ultimately resilience to issues related to air quality. Whilst citizen science has reshaped air quality research by bringing a fresh perspective on democratizing science for the public good, th…
Participatory resilience
In the context of urbanization and a growing population, cities and citizens are becoming more exposed and vulnerable to social and environmental changes, ranging from natural disasters like earthquakes and floods to uncertainties caused by issues related to climate change and complex social dynamics or even pandemics. There have been many debates about implementing resilience thinking that allow cities and communities to prepare for possible str…
Building a multisystemic understanding of societal resilience to the Covid-19 pandemic
The current global systemic crisis reveals how globalised societies are unprepared to face a pandemic. Beyond the dramatic loss of human life, the COVID-19 pandemic has triggered widespread disturbances in health, social, economic, environmental and governance systems in many countries across the world. Resilience describes the capacities of natural and human systems to prevent, react to and recover from shocks. Societal resilience to the current…
Give more data, awareness and control to individual citizens, and they will help Covid-19 containment
The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the “phase 2” of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by…
Random Deviations Improve Micro-Macro Predictions
Many sociological theories make critically different macropredictions when their microassumptions are implemented stochastically rather than deterministically. Deviations from individuals' behavioral patterns described by microtheories can spark cascades that change macrooutcomes, even when deviations are rare and random. With two experiments, we empirically tested whether macrophenomena can be critically shaped by random deviations. Ninety-six p…
Will Democracy Survive Big Data and Artificial Intelligence
Science of science
The whys and wherefores of SciSci The science of science (SciSci) is based on a transdisciplinary approach that uses large data sets to study the mechanisms underlying the doing of science—from the choice of a research problem to career trajectories and progress within a field. In a Review, Fortunato et al. explain that the underlying rationale is that with a deeper understanding of the precursors of impactful science, it will be possible to deve…
The rippling dynamics of valenced messages in naturalistic youth chat
Communication power struggles on social media
In 2011–2012 Russia experienced a wave of mass protests surrounding the Duma and presidential elections. The protests, however, faded shortly after the second election. We study the Russian political discourse on Twitter during this period and the main actors involved: the pro-government camp, the opposition, and the general public. We analyze around 700,000 Twitter messages and investigate the social networks of the most active Twitter users. Ou…
Sustained cooperation by running away from bad behavior
For cooperation to evolve, some mechanism must limit the rate at which cooperators are exposed to defectors. Only then can the advantages of mutual cooperation outweigh the costs of being exploited. Although researchers widely agree on this, they disagree intensely about which evolutionary mechanisms can explain the extraordinary cooperation exhibited by humans. Much of the controversy follows from disagreements about the informational regularity…
Thinking Ahead - Essays on Big Data, Digital Revolution, and Participatory Market Society
Big Data Society
The Automation of Society is Next
Group Segregation and Urban Violence
How does segregation shape intergroup violence in contested urban spaces? Should nominal rivals be kept separate or instead more closely integrated? We develop an empirically grounded agent‐based model to understand the sources and patterns of violence in urban areas, employing Jerusalem as a demonstration case and seeding our model with microlevel, geocoded data on settlement patterns. An optimal set of parameters is selected to best fit the obs…
Globally networked risks and how to respond
Group Segregation and Urban Violence
How does segregation shape intergroup violence in contested urban spaces? Should nominal rivals be kept separate or instead more closely integrated? We develop an empirically grounded agent‐based model to understand the sources and patterns of violence in urban areas, employing Jerusalem as a demonstration case and seeding our model with microlevel, geocoded data on settlement patterns. An optimal set of parameters is selected to best fit the obs…
Communication power struggles on social media
In 2011–2012 Russia experienced a wave of mass protests surrounding the Duma and presidential elections. The protests, however, faded shortly after the second election. We study the Russian political discourse on Twitter during this period and the main actors involved: the pro-government camp, the opposition, and the general public. We analyze around 700,000 Twitter messages and investigate the social networks of the most active Twitter users. Ou…
Bargaining over waiting time in ultimatum game experiments
Self-Organization and Emergence in Social Systems
We demonstrate with computational simulation scenarios how social environments and individual behavior coevolve and how fundamentally different macro-effects emerge, when separate micromechanisms are combined. Our framework considers social interactions among agents on a spatial grid or in networks. In the Prisoner's Dilemma, neither imitation of more successful strategies nor the migration to more favorable locations can promote cooperation. How…
Random Deviations Improve Micro-Macro Predictions
Many sociological theories make critically different macropredictions when their microassumptions are implemented stochastically rather than deterministically. Deviations from individuals' behavioral patterns described by microtheories can spark cascades that change macrooutcomes, even when deviations are rare and random. With two experiments, we empirically tested whether macrophenomena can be critically shaped by random deviations. Ninety-six p…
A mathematical model for the behavior of individuals in a social field
Related to an idea of Lewin, a mathematical model for behavioral changes under the influence of a social field is developed. The social field reflects public opinion, social norms and trends. It is not only given by external factors (the environment) but also by the interactions of individuals. Two important kinds of interaction processes are distinguished: Imitative and avoidance processes. Variations of individual behavior are taken into accoun…
A mathematical model for the behavior of individuals in a social field
Related to an idea of Lewin, a mathematical model for behavioral changes under the influence of a social field is developed. The social field reflects public opinion, social norms and trends. It is not only given by external factors (the environment) but also by the interactions of individuals. Two important kinds of interaction processes are distinguished: Imitative and avoidance processes. Variations of individual behavior are taken into accoun…
Social force model for pedestrian dynamics
It is suggested that the motion of pedestrians can be described as if they would be subject to ``social forces.'' These ``forces'' are not directly exerted by the pedestrians' personal environment, but they are a measure for the internal motivations of the individuals to perform certain actions (movements). The corresponding force concept is discussed in more detail and can also be applied to the description of other behaviors. In the presented m…
Introduction and Summary
Microscopic Foundation of Stochastic Game Dynamical Equations
Simulating dynamical features of escape panic
Disasters as Extreme Events and the Importance of Network Interactions for Disaster Response Management
Growth, innovation, scaling, and the pace of life in cities
Humanity has just crossed a major landmark in its history with the majority of people now living in cities. Cities have long been known to be society's predominant engine of innovation and wealth creation, yet they are also its main source of crime, pollution, and disease. The inexorable trend toward urbanization worldwide presents an urgent challenge for developing a predictive, quantitative theory of urban organization and sustainable developme…
Managing Complexity
Managing Complexity in Socio-Economic Systems
This contribution summarizes some typical features of complex systems such as non-linear interactions, chaotic dynamics, the ``butterfly effect’’, phase transitions, self-organized criticality, cascading effects, and power laws. These imply sometimes quite unexpected, counter-intuitive, or even paradoxical behaviors of socio-economic systems. A typical example is the faster-is-slower effect. Due to their tendency of self-organization, complex sys…
Decision Theoretical Specification of the Transition Rates
Boltzmann-Like Equations
Problems and Terminology
Introduction and Summary
Evolutionary Game Theory
Determination of the Model Parameters from Empirical Data
Master Equation in State Space
Langevin Equations and Non-linear Dynamics
Social Fields and Social Forces
Master Equation in Configuration Space
Dynamic Decision Behavior
The Fokker-Planck Equation
Opinion Formation Models
How social influence can undermine the wisdom of crowd effect
Social groups can be remarkably smart and knowledgeable when their averaged judgements are compared with the judgements of individuals. Already Galton [Galton F (1907) Nature 75:7] found evidence that the median estimate of a group can be more accurate than estimates of experts. This wisdom of crowd effect was recently supported by examples from stock markets, political elections, and quiz shows [Surowiecki J (2004) The Wisdom of Crowds ]. In con…
FuturICT and Social Sciences
Why do financial markets crash again and again? How can we construct resilient institutions? What determines human happiness and well-‐being, and how are they influenced by personal wealth? How can society change behaviours that destroy our environment and other important public goods? Big Data, combined with a multi-disciplinary approach, may help to find answers to these and other questions, which could not be well answered in the past
Self-Organization and Emergence in Social Systems
We demonstrate with computational simulation scenarios how social environments and individual behavior coevolve and how fundamentally different macro-effects emerge, when separate micromechanisms are combined. Our framework considers social interactions among agents on a spatial grid or in networks. In the Prisoner's Dilemma, neither imitation of more successful strategies nor the migration to more favorable locations can promote cooperation. How…
Computer Science (34 obras) · Political science (26 obras) · Sociology (21 obras) · Opinion Dynamics and Social Influence (18 obras) · Psychology (16 obras) · Economics (14 obras) · Mathematics (13 obras) · Law (12 obras) · Social Psychology (12 obras) · Engineering (11 obras)