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11 results on '"Van der Wal, Natalie"'

1. Research Needed in Computational Social Science for Power System Reliability, Resilience, and Restoration

Author

Valinejad, Jaber, Mili, Lamine, and van der Wal, Natalie

Subjects
Computer Science - Multiagent Systems, Electrical Engineering and Systems Science - Systems and Control
Abstract

In the literature, smart grids are modeled as cyber-physical power systems without considering the computational social aspects. However, end-users are playing a key role in their operation and response to disturbances via demand response and distributed energy resources. Therefore, due to the critical role of active and passive end-users and the intermittency of renewable energy, smart grids must be planned and operated by considering the computational social aspects in addition to the technical aspects. The level of cooperation, flexibility, and other social features of the various stakeholders, including consumers, prosumers, and microgrids, affect the system efficiency, reliability, and resilience. In this paper, we design an artificial society simulating the interaction between power systems and the social communities that they serve via agent-based modeling inspired by Barsade's theory on the emotional spread. The simulation results show a decline in the consumers' and prosumers' satisfaction levels induced by a shortage of electricity. It also shows the effects of social diffusion via the Internet and mass media on the satisfaction level. In view of the importance of computational social science for power system applications and the limited number of publications devoted to it, we provide a list of research topics that need to be achieved to enhance the reliability and resilience of power systems' operation and planning.

Published
2020

2. The Influence of National Culture on Evacuation Response Behaviour and Time: An Agent-Based Approach

Author

Damme, Elvira Van, van der Wal, Natalie, Hofstede, Gert Jan, Brazier, Frances, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Lorig, Fabian, editor, and Norling, Emma, editor

Published
2023
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3. Studying the Impact of Trained Staff on Evacuation Scenarios by Agent-Based Simulation

Author

Formolo, Daniel, Bosse, Tibor, van der Wal, Natalie, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Staab, Steffen, editor, Koltsova, Olessia, editor, and Ignatov, Dmitry I., editor

Published
2018
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5. Research on mathematical competencies in engineering education: where are we now?

Author

Wong, Jacqueline, Papageorgiou, Elli, Klaassen, Renate, Van der Wal, Natalie, Menschaart, Laura, Cabo, Annoesjka, Wong, Jacqueline, Papageorgiou, Elli, Klaassen, Renate, Van der Wal, Natalie, Menschaart, Laura, and Cabo, Annoesjka

Abstract

In tertiary mathematics education for engineers (hereafter called service mathematics education, SME), there is a long-lasting controversy on what and how to teach. The goal of SME is to provide a base for engineering-specific courses and to develop mathematical competencies needed for academic success and professional practice. A leading question in engineering education is how to take mathematical competencies into account when designing content. Mathematical competencies are employed to understand, judge, do, and use mathematics in a variety of mathematical contexts and situations in which mathematics could play a role [1]. Although mathematical competencies have been introduced for about two decades, Alpers [2] noted that research in engineering higher education had focused chiefly on the modelling competency and less on other competencies. By means of a scoping review, the current study aims to examine how mathematical competencies are investigated in higher education research. The main research question is “To what extent and in what ways have mathematical competencies been examined in higher engineering education research?” Papers were retrieved and qualitatively reviewed using the Preferred Reporting Items for Systematic Reviews and Meta- Analyses (PRISMA) guidelines. A systematic search yielded 166 records, of which, 65 unique records were relevant to engineering education and screened for eligibility. A synthesis of 23 studies reviewed showed that problem-solving and modelling were the most investigated mathematical competencies and were often investigated together or with other mathematical competencies. The inconsistencies in the terminologies used suggest a need for clearer conceptualizations to advance research and inform practice on mathematical competencies.

Published
2022

6. A Glossary for Research on Human Crowd Dynamics. In Collective Dynamics

Author

Adrian, Juliane, Bode, Nikolai, Amos, Martyn, Baratchi, Mitra, Beermann, Mira, Boltes, Maik, Corbetta, Alessandro, Dezecache, Guillaume, Drury, John, Fu, Zhijian, Geraerts, R.J., Gwynne, Steve, Hofinger, Gesine, Hunt, Aoife, Kanters, Tinus, Kneidl, Angelika, Konya, Krisztina, Köster, Gerta, Küpper, Mira, Michalareas, Georgios, Neville, Fergus, Ntontis, Evangelos, Reicher, Stephen, Ronchi, Enrico, Schadschneider, Andreas, Seyfried, Armin, Shipman, Alastair, Sieben, Anna, Spearpoint, Michael, Brent Sullivan, Gavin, Templeton, Anne, Toschi, Federico, Yücel, Zeynep, Zanlungo, Francesco, Zuriguel, Iker, van der Wal, Natalie, van Schadewijk, Frank, von Krüchten, Cornelia, Wijermans, Nanda, Sub Geometric Computing, and Geometric Computing

Abstract

This article presents a glossary of terms that are frequently used in research on human crowds. This topic is inherently multidisciplinary as it includes work in and across computer science, engineering, mathematics, physics, psychology and social science, for example. We do not view the glossary presented here as a collection of finalised and formal definitions. Instead, we suggest it is a snapshot of current views and the starting point of an ongoing process that we hope will be useful in providing some guidance on the use of terminology to develop a mutual understanding across disciplines. The glossary was developed collaboratively during a multidisciplinary meeting. We deliberately allow several definitions of terms, to reflect the confluence of disciplines in the field. This also reflects the fact not all contributors necessarily agree with all definitions in this glossary.

Published
2019

7. A Glossary for Research on Human Crowd Dynamics. In Collective Dynamics

Author

Sub Geometric Computing, Geometric Computing, Adrian, Juliane, Bode, Nikolai, Amos, Martyn, Baratchi, Mitra, Beermann, Mira, Boltes, Maik, Corbetta, Alessandro, Dezecache, Guillaume, Drury, John, Fu, Zhijian, Geraerts, R.J., Gwynne, Steve, Hofinger, Gesine, Hunt, Aoife, Kanters, Tinus, Kneidl, Angelika, Konya, Krisztina, Köster, Gerta, Küpper, Mira, Michalareas, Georgios, Neville, Fergus, Ntontis, Evangelos, Reicher, Stephen, Ronchi, Enrico, Schadschneider, Andreas, Seyfried, Armin, Shipman, Alastair, Sieben, Anna, Spearpoint, Michael, Brent Sullivan, Gavin, Templeton, Anne, Toschi, Federico, Yücel, Zeynep, Zanlungo, Francesco, Zuriguel, Iker, van der Wal, Natalie, van Schadewijk, Frank, von Krüchten, Cornelia, Wijermans, Nanda, Sub Geometric Computing, Geometric Computing, Adrian, Juliane, Bode, Nikolai, Amos, Martyn, Baratchi, Mitra, Beermann, Mira, Boltes, Maik, Corbetta, Alessandro, Dezecache, Guillaume, Drury, John, Fu, Zhijian, Geraerts, R.J., Gwynne, Steve, Hofinger, Gesine, Hunt, Aoife, Kanters, Tinus, Kneidl, Angelika, Konya, Krisztina, Köster, Gerta, Küpper, Mira, Michalareas, Georgios, Neville, Fergus, Ntontis, Evangelos, Reicher, Stephen, Ronchi, Enrico, Schadschneider, Andreas, Seyfried, Armin, Shipman, Alastair, Sieben, Anna, Spearpoint, Michael, Brent Sullivan, Gavin, Templeton, Anne, Toschi, Federico, Yücel, Zeynep, Zanlungo, Francesco, Zuriguel, Iker, van der Wal, Natalie, van Schadewijk, Frank, von Krüchten, Cornelia, and Wijermans, Nanda

Published
2019

8. A glossary for research on human crowd dynamics

Author

Adrian, Juliane, Bode, Nikolai, Amos, Martyn, Baratchi, Mitra, Beermann, Mira, Boltes, Maik, Corbetta, Alessandro, Dezecache, Guillaume, Drury, John, Fu, Zhijian, Geraerts, Roland, Gwynne, Steve, Hofinger, Gesine, Hunt, Aoife, Kanters, Tinus, Kneidl, Angelika, Konya, Krisztina, Köster, Gerta, Küpper, Mira, Michalareas, Georgios, Neville, Fergus, Ntontis, Evangelos, Reicher, Stephen, Ronchi, Enrico, Schadschneider, Andreas, Seyfried, Armin, Shipman, Alastair, Sieben, Anna, Spearpoint, Michael, Sullivan, Gavin Brent, Templeton, Anne, Toschi, Federico, Yücel, Zeynep, Zanlungo, Francesco, Zuriguel, Iker, van der Wal, Natalie, van Schadewijk, Frank, von Krüchten, Cornelia, Wijermans, Nanda, Adrian, Juliane, Bode, Nikolai, Amos, Martyn, Baratchi, Mitra, Beermann, Mira, Boltes, Maik, Corbetta, Alessandro, Dezecache, Guillaume, Drury, John, Fu, Zhijian, Geraerts, Roland, Gwynne, Steve, Hofinger, Gesine, Hunt, Aoife, Kanters, Tinus, Kneidl, Angelika, Konya, Krisztina, Köster, Gerta, Küpper, Mira, Michalareas, Georgios, Neville, Fergus, Ntontis, Evangelos, Reicher, Stephen, Ronchi, Enrico, Schadschneider, Andreas, Seyfried, Armin, Shipman, Alastair, Sieben, Anna, Spearpoint, Michael, Sullivan, Gavin Brent, Templeton, Anne, Toschi, Federico, Yücel, Zeynep, Zanlungo, Francesco, Zuriguel, Iker, van der Wal, Natalie, van Schadewijk, Frank, von Krüchten, Cornelia, and Wijermans, Nanda

Abstract

This article presents a glossary of terms that are frequently used in research on human crowds. This topic is inherently multidisciplinary as it includes work in and across computer science, engineering, mathematics, physics, psychology and social science, for example. We do not view the glossary presented here as a collection of finalised and formal definitions. Instead, we suggest it is a snapshot of current views and the starting point of an ongoing process that we hope will be useful in providing some guidance on the use of terminology to develop a mutual understanding across disciplines. The glossary was developed collaboratively during a multidisciplinary meeting. We deliberately allow several definitions of terms, to reflect the confluence of disciplines in the field. This also reflects the fact not all contributors necessarily agree with all definitions in this glossary.

Published
2019

9. A Glossary for Research on Human Crowd Dynamics

Author

Adrian, Juliane, Bode, Nikolai, Amos, Martyn, Baratchi, Mitra, Beermann, Mira, Boltes, Maik, Corbetta, Alessandro, Dezecache, Guillaume, Drury, John, Fu, Zhijian, Geraerts, Roland, Gwynne, Steve, Hofinger, Gesine, Hunt, Aoife, Kanters, Tinus, Kneidl, Angelika, Konya, Krisztina, Köster, Gerta, Küpper, Mira, Michalareas, Georgios, Neville, Fergus, Ntontis, Evangelos, Reicher, Stephen, Ronchi, Enrico, Schadschneider, Andreas, Seyfried, Armin, Shipman, Alastair, Sieben, Anna, Spearpoint, Michael, Sullivan, Gavin Brent, Templeton, Anne, Toschi, Federico, Yücel, Zeynep, Zanlungo, Francesco, Zuriguel, Iker, Van der Wal, Natalie, van Schadewijk, Frank, von Krüchten, Cornelia, Wijermans, Nanda, Adrian, Juliane, Bode, Nikolai, Amos, Martyn, Baratchi, Mitra, Beermann, Mira, Boltes, Maik, Corbetta, Alessandro, Dezecache, Guillaume, Drury, John, Fu, Zhijian, Geraerts, Roland, Gwynne, Steve, Hofinger, Gesine, Hunt, Aoife, Kanters, Tinus, Kneidl, Angelika, Konya, Krisztina, Köster, Gerta, Küpper, Mira, Michalareas, Georgios, Neville, Fergus, Ntontis, Evangelos, Reicher, Stephen, Ronchi, Enrico, Schadschneider, Andreas, Seyfried, Armin, Shipman, Alastair, Sieben, Anna, Spearpoint, Michael, Sullivan, Gavin Brent, Templeton, Anne, Toschi, Federico, Yücel, Zeynep, Zanlungo, Francesco, Zuriguel, Iker, Van der Wal, Natalie, van Schadewijk, Frank, von Krüchten, Cornelia, and Wijermans, Nanda

Abstract

This article presents a glossary of terms that are frequently used in research on human crowds. This topic is inherently multidisciplinary as it includes work in and across computer science, engineering, mathematics, physics, psychology and social science, for example. We do not view the glossary presented here as a collection of finalised and formal definitions. Instead, we suggest it is a snapshot of current views and the starting point of an ongoing process that we hope will be useful in providing some guidance on the use of terminology to develop a mutual understanding across disciplines. The glossary was developed collaboratively during a multidisciplinary meeting. We deliberately allow several definitions of terms, to reflect the confluence of disciplines in the field. This also reflects the fact not all contributors necessarily agree with all definitions in this glossary.

10. A Glossary for Research on Human Crowd Dynamics

Author

Adrian, Juliane, Bode, Nikolai, Amos, Martyn, Baratchi, Mitra, Beermann, Mira, Boltes, Maik, Corbetta, Alessandro, Dezecache, Guillaume, Drury, John, Fu, Zhijian, Geraerts, Roland, Gwynne, Steve, Hofinger, Gesine, Hunt, Aoife, Kanters, Tinus, Kneidl, Angelika, Konya, Krisztina, Köster, Gerta, Küpper, Mira, Michalareas, Georgios, Neville, Fergus, Ntontis, Evangelos, Reicher, Stephen, Ronchi, Enrico, Schadschneider, Andreas, Seyfried, Armin, Shipman, Alastair, Sieben, Anna, Spearpoint, Michael, Sullivan, Gavin Brent, Templeton, Anne, Toschi, Federico, Yücel, Zeynep, Zanlungo, Francesco, Zuriguel, Iker, Van der Wal, Natalie, van Schadewijk, Frank, von Krüchten, Cornelia, Wijermans, Nanda, Adrian, Juliane, Bode, Nikolai, Amos, Martyn, Baratchi, Mitra, Beermann, Mira, Boltes, Maik, Corbetta, Alessandro, Dezecache, Guillaume, Drury, John, Fu, Zhijian, Geraerts, Roland, Gwynne, Steve, Hofinger, Gesine, Hunt, Aoife, Kanters, Tinus, Kneidl, Angelika, Konya, Krisztina, Köster, Gerta, Küpper, Mira, Michalareas, Georgios, Neville, Fergus, Ntontis, Evangelos, Reicher, Stephen, Ronchi, Enrico, Schadschneider, Andreas, Seyfried, Armin, Shipman, Alastair, Sieben, Anna, Spearpoint, Michael, Sullivan, Gavin Brent, Templeton, Anne, Toschi, Federico, Yücel, Zeynep, Zanlungo, Francesco, Zuriguel, Iker, Van der Wal, Natalie, van Schadewijk, Frank, von Krüchten, Cornelia, and Wijermans, Nanda

Abstract

This article presents a glossary of terms that are frequently used in research on human crowds. This topic is inherently multidisciplinary as it includes work in and across computer science, engineering, mathematics, physics, psychology and social science, for example. We do not view the glossary presented here as a collection of finalised and formal definitions. Instead, we suggest it is a snapshot of current views and the starting point of an ongoing process that we hope will be useful in providing some guidance on the use of terminology to develop a mutual understanding across disciplines. The glossary was developed collaboratively during a multidisciplinary meeting. We deliberately allow several definitions of terms, to reflect the confluence of disciplines in the field. This also reflects the fact not all contributors necessarily agree with all definitions in this glossary.

11. Measuring and Enhancing the Resilience of Interdependent Power Systems, Emergency Services, and Social Communities

Author

Valinejad, Jaber, Electrical Engineering, Mili, Lamine M., Liu, Chen-Ching, Yu, Guoqiang, Kekatos, Vasileios, Cowell, Margaret M., and Van Der Wal, Natalie

Subjects
Big Data, Critical Infrastructures, Social Computing, Social Networks, Data Analytic, CPS Systems, Computational Social Science, Power Systems, Urban Computing, Community Resilience, Social Media, Emergency Services, Natural Language Processing
Abstract

Several calamities occur throughout the world each year, resulting in varying losses. Disasters wreak havoc on infrastructures and impair operation. They result in human deaths and injuries and stress people's mental and emotional states. These negative impacts of natural disasters induce significant economic losses, as demonstrated by the $ 423 billion loss in 2011 in Tohoku, Japan, and the $ 133 billion loss in hurricane Harvey, U.S.A. Every year, hurricanes and tropical storms result in 10,000 human deaths worldwide. To mitigate losses, communities' readiness, flexibility, and resilience must be strengthened. To this end, appropriate techniques for forecasting a community's capacity and functionality in the face of impending crises must be developed and suitable community resilience metrics and their quantification must be established. Collaboration between critical infrastructures such as power systems and emergency services and social networks is critical for building a resilient community. As a result, we require metrics that account for both the social and infrastructure aspects of the community. While the literature on critical infrastructures such as power systems discusses the effect of social factors on resilience, they do not model these social factors and metrics due to their complexity. On the other hand, it turns out that the role of critical infrastructures and some critical social characteristics is overlooked in the computational social science literature on community resilience. Thus, this dissertation presents a multi-agent socio-technical model of community resilience, taking into account the interconnection of power systems, emergency services, and social communities. We offer relevant measures for each section and describe dynamic change and its dependence on other metrics using a variety of theories and expertise from social science, psychology, electrical engineering, and emergency services. To validate the model, we used data on two hurricanes (Irma and Harvey) collected from Twitter, GoogleTrends, FEMA, power utilities, CNN, and Snopes (a fact-checking organization). We also describe methods for quantifying social metrics such as anxiety, risk perception, cooperation using social sensing, natural language processing, and text mining tools. Doctor of Philosophy Power systems serve social communities that consist of residential, commercial, and industrial customers. The social behavior and degree of collaboration of all stakeholders, such as consumers, prosumers, and utilities, affect the level of preparedness, mitigation, recovery, adaptability, and, thus, power system resilience. Nonetheless, the literature pays scant attention to stakeholders' social characteristics and collaborative efforts when confronted with a disaster and views the problem solely as a cyber-physical system. However, power system resilience, which is not a standalone discipline, is inherently a cyber-physical-social problem, making it complex to address. To this end, in this dissertation, we develop a socio-technical power system resilience model based on neuroscience, social science, and psychological theories and use the threshold model to simulate the behavior of power system stakeholders during a disaster. We validate our model using datasets of hurricane Harvey of Category 4 that hit Texas in August 2017 and hurricane Irma of Category 5 that made landfall in Florida in September 2017. We retrieve these datasets from Twitter and GoogleTrend and then apply natural language processing and language psychology analysis tools to deduce the social behavior of the end-users.

Published
2022

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