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D Helbing

Datos Biográficos

ID223459
NOMBRED Helbing
NOMBRESD
APELLIDOHelbing
FIRMAHELBING D
AFILIACIONESETH Zurich
ORCID0000-0002-9898-0101
VERIFICADOSí
TOTAL DE OBRAS56
TOTAL DE CITAS61
TOTAL COMO AUTOR55
TOTAL COMO EDITOR1
PRIMER AÑO DE PUBLICACIÓN1994
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H3
  • Semantic urban elements

    Open Access•Matias Quintana, Chenyi Cai et al.•ARTICLE•Environment and Planning B Urban…•2026

    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

    Open Access•Sachit Mahajan, D Helbing•ARTICLE•AI & Society•2026

    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

    Open Access•Claudio Novelli, Javier Argota Sánchez–vaquerizo et al.•ARTICLE•AI & Society•2026

  • Revisiting big data optimism

    Open Access•Sachit Mahajan, D Helbing•ARTICLE•Ethics and Information Technology•2026•Referencias: 7

    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

    Open Access•Javier Argota Sánchez–vaquerizo, Javier Argota Sánchez-Vaquerizo et al.•ARTICLE•Cities•2025•Referencias: 4

  • How voting rules impact legitimacy

    Open Access•Carina I Hausladen, Regula Hänggli et al.•ARTICLE•Humanities and Social Sciences…•2024

    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

    Open Access•D Helbing, Marcello Ienca•ARTICLE•Ethics and Information Technology•2024

    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

    Open Access•Andrej Zwitter, D Helbing•ARTICLE•Ethics and Information Technology•2024

  • Democratizing air

    Open Access•Sachit Mahajan, Rosy Mondardini et al.•ARTICLE•Sustainable Cities and Society•2024

    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

    Open Access•D Helbing, Sachit Mahajan et al.•ARTICLE•SSRN Electronic Journal•2022

  • Translating citizen-generated air quality data into evidence for shaping policy

    Open Access•Sachit Mahajan, Ming-Kuang Chung et al.•ARTICLE•Humanities and Social Sciences…•2022

    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

    Open Access•Sachit Mahajan, Carina I Hausladen et al.•ARTICLE•Sustainable Cities and Society•2022

    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

    Open Access•Didier Wernli, Mia Clausin et al.•ARTICLE•BMJ Global Health•2021

    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

    Open Access•Mirco Nanni, Gennady Andrienko et al.•ARTICLE•Ethics and Information Technology•2021

    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

    Open Access•Michael Mäs, D Helbing•ARTICLE•Sociological Methods & Research•2020•Citada por: 2•Referencias: 49

    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

    Open Access•D Helbing, Bruno S Frey et al.•CHAPTER•Towards Digital Enlightenment•2019

  • Science of science

    Open Access•Santo Fortunato, Carl T Bergstrom et al.•ARTICLE•Science•2018

    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

    Open Access•Seth Frey, Karsten Donnay et al.•ARTICLE•Behavior Research Methods•2018

  • Communication power struggles on social media

    Open Access•Viktoria Spaiser, Thomas Chadefaux et al.•ARTICLE•Journal of Information Technology…•2017•Citada por: 13•Referencias: 19

    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

    Open Access•C Efferson, Carlos P Roca et al.•ARTICLE•Evolution and Human Behavior•2016

    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

    D Helbing•BOOK•Thinking Ahead - Essays on Big…•2015

  • Big Data Society

    Open Access•D Helbing•CHAPTER•Thinking Ahead - Essays on Big…•2015

  • The Automation of Society is Next

    Open Access•D Helbing•ARTICLE•SSRN Electronic Journal•2015

  • Group Segregation and Urban Violence

    Open Access•Ravi Bhavnani, Karsten Donnay et al.•ARTICLE•American Journal of Political…•2014•Citada por: 38•Referencias: 55

    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

    Open Access•D Helbing•ARTICLE•Nature•2013

Siguiente
  • Group Segregation and Urban Violence

    Open Access•Ravi Bhavnani, Karsten Donnay et al.•ARTICLE•American Journal of Political…•2014•Citada por: 38•Referencias: 55

    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

    Open Access•Viktoria Spaiser, Thomas Chadefaux et al.•ARTICLE•Journal of Information Technology…•2017•Citada por: 13•Referencias: 19

    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

    Open Access•Roger Berger, Heiko Rauhut et al.•ARTICLE•Social Science Research•2012•Citada por: 4•Referencias: 33

  • Self-Organization and Emergence in Social Systems

    D Helbing, Wenjian Yu et al.•ARTICLE•Journal of Mathematical Sociology•2011•Citada por: 3•Referencias: 25

    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

    Open Access•Michael Mäs, D Helbing•ARTICLE•Sociological Methods & Research•2020•Citada por: 2•Referencias: 49

    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

    D Helbing•ARTICLE•Journal of Mathematical Sociology•1994•Citada por: 1•Referencias: 7

    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

    D Helbing•ARTICLE•Journal of Mathematical Sociology•1994•Citada por: 1•Referencias: 7

    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

    Open Access•D Helbing, Péter Molnár•ARTICLE•Physical Review E•1995

    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

    D Helbing•CHAPTER•Quantitative Sociodynamics•1995

  • Microscopic Foundation of Stochastic Game Dynamical Equations

    D Helbing•CHAPTER•Game Theory, Experience,…•1998

  • Simulating dynamical features of escape panic

    Open Access•D Helbing, Illés Farkas et al.•ARTICLE•Nature•2000

  • Disasters as Extreme Events and the Importance of Network Interactions for Disaster Response Management

    Open Access•D Helbing, Hendrik Ammoser et al.•CHAPTER•Extreme Events in Nature and…•2006

  • Growth, innovation, scaling, and the pace of life in cities

    Open Access•Luís M A Bettencourt, Luís Bettencourt et al.•ARTICLE•Proceedings of the National…•2007

    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

    Open Access•D Helbing•BOOK•Managing Complexity•2007

  • Managing Complexity in Socio-Economic Systems

    Open Access•D Helbing•ARTICLE•European Review•2009•Referencias: 8

    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

    Open Access•D Helbing•CHAPTER•Quantitative Sociodynamics•2010

  • Boltzmann-Like Equations

    Open Access•D Helbing•CHAPTER•Quantitative Sociodynamics•2010

  • Problems and Terminology

    Open Access•D Helbing•CHAPTER•Quantitative Sociodynamics•2010

  • Introduction and Summary

    Open Access•D Helbing•CHAPTER•Quantitative Sociodynamics•2010

  • Evolutionary Game Theory

    Open Access•D Helbing•CHAPTER•Quantitative Sociodynamics•2010

  • Determination of the Model Parameters from Empirical Data

    Open Access•D Helbing•CHAPTER•Quantitative Sociodynamics•2010

  • Master Equation in State Space

    Open Access•D Helbing•CHAPTER•Quantitative Sociodynamics•2010

  • Langevin Equations and Non-linear Dynamics

    Open Access•D Helbing•CHAPTER•Quantitative Sociodynamics•2010

  • Social Fields and Social Forces

    Open Access•D Helbing•CHAPTER•Quantitative Sociodynamics•2010

  • Master Equation in Configuration Space

    Open Access•D Helbing•CHAPTER•Quantitative Sociodynamics•2010

  • Dynamic Decision Behavior

    Open Access•D Helbing•CHAPTER•Quantitative Sociodynamics•2010

  • The Fokker-Planck Equation

    Open Access•D Helbing•CHAPTER•Quantitative Sociodynamics•2010

  • Opinion Formation Models

    Open Access•D Helbing•CHAPTER•Quantitative Sociodynamics•2010

  • How social influence can undermine the wisdom of crowd effect

    Open Access•Jan Lorenz, Heiko Rauhut et al.•ARTICLE•Proceedings of the National…•2011

    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

    Rosaria Conte, Nigel Gilbert et al.•ARTICLE•Zeitschrift für Soziologie•2011

    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

    D Helbing, Wenjian Yu et al.•ARTICLE•Journal of Mathematical Sociology•2011•Citada por: 3•Referencias: 25

    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)

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