Innovation in Crisis Management
Herausgeber: Fonio, Chiara; Zw&; Widera, Adam
Innovation in Crisis Management
Herausgeber: Fonio, Chiara; Zw&; Widera, Adam
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This book deals with how to measure innovation in crisis management drawing on data, case studies and lessons learned from different European countries.
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This book deals with how to measure innovation in crisis management drawing on data, case studies and lessons learned from different European countries.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 334
- Erscheinungstermin: 10. Februar 2023
- Englisch
- Abmessung: 234mm x 156mm x 21mm
- Gewicht: 680g
- ISBN-13: 9781032189178
- ISBN-10: 1032189177
- Artikelnr.: 66268331
- Verlag: Taylor & Francis
- Seitenzahl: 334
- Erscheinungstermin: 10. Februar 2023
- Englisch
- Abmessung: 234mm x 156mm x 21mm
- Gewicht: 680g
- ISBN-13: 9781032189178
- ISBN-10: 1032189177
- Artikelnr.: 66268331
Chiara Fonio is Research Associate at the Vrije Universiteit (VU, Amsterdam), Faculty of Social Sciences, Organization Sciences. She has been working in academia and European institutions (Joint Research Centre, European Commission, where the work on the trial guidance methodology was designed and developed). She has extensive experience in European-funded projects and authored a number of publications on crisis management and surveillance (including, among others, Big Data, Surveillance, and Crisis Management, co-edited with Kees Boersma, 2017). Her research interests cover disaster governance, crisis management and surveillance studies. Adam Widera is Managing Director of the Competence Center for Crisis Management at the European Research Center for Information Systems (ERCIS), hosted by the University of Münster, Germany. After graduating in political science, philosophy, and political economy, he pursued his doctorate in information systems. His research areas cover modelling, simulation and performance measurement in humanitarian and disaster relief logistics and design and evaluation of information systems for humanitarians. He has published over 50 research papers in international journals and conferences and has been involved in various international research projects. Tomasz Zw¿gli¿ski is Colonel of the Polish State Fire Service working as an academic at the Main School of Fire Service in Warsaw, with above 20 years of experience. He has a PhD in security sciences and a master's in fire engineering, is a qualified expert in the Union Civil Protection Mechanism, and is an expert in crisis and disaster management, CBRN, and occupational safety. He is also a manager of research and international civil protection capacity-building projects (e.g. in Ukraine). His key research interest focuses on the evaluation of disaster management exercises, including new solutions. EU Research Executive Agency expert. His recent publications include Exercising in a Radioactive Environment-a Case Study from CBRNE Exercise in Chernobyl Exclusion Zone (2019), Cascading Effect as a Contemporary Challenge for Crisis Management (2020), and Polish Approach to Sharing Resources Deployable for the EU Civil Protection Mechanism (2021).
Introduction
Part 1: Current and new methodological approaches to assess innovation in
CM
1. Measuring Innovation: The Current State of the Art
2. The Trial Guidance Methodology
Part 2: Technical infrastructures to assess potentially innovative
solutions
3. Testbed Technical Infrastructure
4. DRIVER+ Online Knowledge Management and Inference Toolset
Part 3: Implementation and evaluation of innovative solutions in crisis
management
Sub-Chapter 3.1: Trials Perspective
5. The Trial in The Netherlands
6. The Trial in Austria: Testing New Technologies for Increasing
Situational Awareness and the Management of Spontaneous Volunteers
7. New Approach to Selection of Innovative Solutions Tailored to the
Practitioners' Needs
Sub-Chapter 3.2: Simulation as Decision Support
8. Dynamic Flood Modelling in Disaster Response
9. On the Practitioner-Driven Use and Misuse of Simulation as Decision
Support: Lessons from a Mass Evacuation Trial
Sub-Chapter 3.3: Situation Awareness Approaches
10. Three Dimensional Model and Orthophotomap's Quality Evaluation towards
Facilitating Aerial Reconnaissance of Flood Response Needs
11. A Multimodal Remote Sensing System for Improved Decision Making in
Earthquake Response
Part 4: Towards a paradigm shift in assessing innovative CM solutions
12. TGM Application in a Horizon Project
13. Applying the Trial Guidance Methodology to Evaluate ResponDrone - A
Situation Awareness Platform for First Responders
14. STADEM: An Adapted Trial Guidance Methodology (TGM) for Pandemic
Management
15. Interoperability and Standardization supporting Preparedness and
Response to Disasters
16. Conclusions
Part 1: Current and new methodological approaches to assess innovation in
CM
1. Measuring Innovation: The Current State of the Art
2. The Trial Guidance Methodology
Part 2: Technical infrastructures to assess potentially innovative
solutions
3. Testbed Technical Infrastructure
4. DRIVER+ Online Knowledge Management and Inference Toolset
Part 3: Implementation and evaluation of innovative solutions in crisis
management
Sub-Chapter 3.1: Trials Perspective
5. The Trial in The Netherlands
6. The Trial in Austria: Testing New Technologies for Increasing
Situational Awareness and the Management of Spontaneous Volunteers
7. New Approach to Selection of Innovative Solutions Tailored to the
Practitioners' Needs
Sub-Chapter 3.2: Simulation as Decision Support
8. Dynamic Flood Modelling in Disaster Response
9. On the Practitioner-Driven Use and Misuse of Simulation as Decision
Support: Lessons from a Mass Evacuation Trial
Sub-Chapter 3.3: Situation Awareness Approaches
10. Three Dimensional Model and Orthophotomap's Quality Evaluation towards
Facilitating Aerial Reconnaissance of Flood Response Needs
11. A Multimodal Remote Sensing System for Improved Decision Making in
Earthquake Response
Part 4: Towards a paradigm shift in assessing innovative CM solutions
12. TGM Application in a Horizon Project
13. Applying the Trial Guidance Methodology to Evaluate ResponDrone - A
Situation Awareness Platform for First Responders
14. STADEM: An Adapted Trial Guidance Methodology (TGM) for Pandemic
Management
15. Interoperability and Standardization supporting Preparedness and
Response to Disasters
16. Conclusions
Introduction
Part 1: Current and new methodological approaches to assess innovation in
CM
1. Measuring Innovation: The Current State of the Art
2. The Trial Guidance Methodology
Part 2: Technical infrastructures to assess potentially innovative
solutions
3. Testbed Technical Infrastructure
4. DRIVER+ Online Knowledge Management and Inference Toolset
Part 3: Implementation and evaluation of innovative solutions in crisis
management
Sub-Chapter 3.1: Trials Perspective
5. The Trial in The Netherlands
6. The Trial in Austria: Testing New Technologies for Increasing
Situational Awareness and the Management of Spontaneous Volunteers
7. New Approach to Selection of Innovative Solutions Tailored to the
Practitioners' Needs
Sub-Chapter 3.2: Simulation as Decision Support
8. Dynamic Flood Modelling in Disaster Response
9. On the Practitioner-Driven Use and Misuse of Simulation as Decision
Support: Lessons from a Mass Evacuation Trial
Sub-Chapter 3.3: Situation Awareness Approaches
10. Three Dimensional Model and Orthophotomap's Quality Evaluation towards
Facilitating Aerial Reconnaissance of Flood Response Needs
11. A Multimodal Remote Sensing System for Improved Decision Making in
Earthquake Response
Part 4: Towards a paradigm shift in assessing innovative CM solutions
12. TGM Application in a Horizon Project
13. Applying the Trial Guidance Methodology to Evaluate ResponDrone - A
Situation Awareness Platform for First Responders
14. STADEM: An Adapted Trial Guidance Methodology (TGM) for Pandemic
Management
15. Interoperability and Standardization supporting Preparedness and
Response to Disasters
16. Conclusions
Part 1: Current and new methodological approaches to assess innovation in
CM
1. Measuring Innovation: The Current State of the Art
2. The Trial Guidance Methodology
Part 2: Technical infrastructures to assess potentially innovative
solutions
3. Testbed Technical Infrastructure
4. DRIVER+ Online Knowledge Management and Inference Toolset
Part 3: Implementation and evaluation of innovative solutions in crisis
management
Sub-Chapter 3.1: Trials Perspective
5. The Trial in The Netherlands
6. The Trial in Austria: Testing New Technologies for Increasing
Situational Awareness and the Management of Spontaneous Volunteers
7. New Approach to Selection of Innovative Solutions Tailored to the
Practitioners' Needs
Sub-Chapter 3.2: Simulation as Decision Support
8. Dynamic Flood Modelling in Disaster Response
9. On the Practitioner-Driven Use and Misuse of Simulation as Decision
Support: Lessons from a Mass Evacuation Trial
Sub-Chapter 3.3: Situation Awareness Approaches
10. Three Dimensional Model and Orthophotomap's Quality Evaluation towards
Facilitating Aerial Reconnaissance of Flood Response Needs
11. A Multimodal Remote Sensing System for Improved Decision Making in
Earthquake Response
Part 4: Towards a paradigm shift in assessing innovative CM solutions
12. TGM Application in a Horizon Project
13. Applying the Trial Guidance Methodology to Evaluate ResponDrone - A
Situation Awareness Platform for First Responders
14. STADEM: An Adapted Trial Guidance Methodology (TGM) for Pandemic
Management
15. Interoperability and Standardization supporting Preparedness and
Response to Disasters
16. Conclusions