Kevin Kohler

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Kohler

First Name

Kevin

ORCID

0000-0002-3092-6854

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Publications1 - 10 of 26

One, Two, or Two Hundred Internets?
Kohler, Kevin (2022)
CSS Cyberdefense Reports
The Internet has grown massively since it became commercialized and globalized in the 1990s. Yet, despite its success, the idea that the Internet may lose its global nature has high salience. It comes in two variants. In the first one, the Internet develops towards a “splinternet” consisting of several national internets due to intentional access and connectivity restrictions imposed by governments. A second claim, which emerged with the start of the US-China “trade war” in 2018, is that we are moving towards a bifurcation between a Western and a Chinese Internet. This CSS Cyberdefense Report offers an overview of the discourse on Internet fragmentation and bifurcation.
Digitale Technologien im Corona-Krisenmanagement
Fischer, Sophie-Charlotte; Kohler, Kevin; Wenger, Andreas (2020)
CSS Analysen zur Sicherheitspolitik
Digitale Technologien nehmen im Kontext der weltweiten Anstrengungen zur Bewältigung der Coronavirus-Pandemie eine ebenso sichtbare wie umstrittene Rolle ein. Dabei wird oft übersehen, dass sich Technologie und Gesellschaft wechselseitig beeinflussen. Staaten nutzen digitale Technologien im Zusammenspiel mit anderen Massnahmen des Krisenmanagements sehr unterschiedlich.
Chronologie des nationalen und internationalen Krisenmanagements in der ersten Phase der Coronavirus-Pandemie
Kohler, Kevin; Hauri, Andrin; Scharte, Benjamin; et al. (2020)
Bulletin zur schweizerischen Sicherheitspolitik ~ Bulletin 2020 zur schweizerischen Sicherheitspolitik
This part of the Bulletin 2020 serves as a chronology of the national and international crisis management in the first phase of the coronavirus pandemic. Kevin Kohler, Andrin Hauri, Benjamin Scharte, Jan Thiel and Andreas Wenger describe the chain of events and measures taken from the outbreak of Covid-19 in China to the return to the "special situation" (besondere Lage) in Switzerland on 19 June. This overview serves as a guide across all the entire Bulletin issue that helps the reader to better locate all the parallel events and processes.
Künstliche Intelligenz für die Cybersicherheit
Bonfanti, Matteo E.; Kohler, Kevin (2020)
CSS Analysen zur Sicherheitspolitik
Künstliche Intelligenz (KI) wird die Cybersicherheit in den kommenden Jahren voraussichtlich verändern. KI wird sowohl Angriff als auch Verteidigung im Cyberraum weiterentwickeln und die Landschaft von Cyberbedrohungen mitprägen. Der Umgang mit diesen Veränderungen fordert vor allem staatsnahe Akteure heraus, die einen angemessenen politischen und normativen Rahmen schaffen müssen.
L’intégration de l’IA dans la protection de la population
Kohler, Kevin; Scharte, Benjamin (2020)
Politique de sécurité: analyses du CSS
Qu’il s’agisse de prévoir la propagation mondiale du nouveau corona- virus originaire de Chine ou de détecter les incendies de forêt en Cali- fornie, l’utilisation de l’intelligence artificielle dans la protection de la population doit permettre d’améliorer la prévention des catastrophes, la réponse qui leur est apportée ainsi que le rétablissement après une catastrophe. Cependant pour y parvenir, il faut repenser le fonctionne- ment en silos des données et évaluer les applications de l’intelligence artificielle à haut risque.
Measuring Individual Disaster Preparedness
Kohler, Kevin; Hauri, Andrin; Roth, Florian; et al. (2020)
CSS Risk and Resilience Reports
This Risk and Resilience Report provides an overview of recent individual preparedness research. The most common indicator is the availability of an emergency supply kit that mitigates short-term supply gaps. Other preparedness indicators include the prevalence of cash, insurance, vaccines, safety installations in buildings and access to vehicles. Preparedness also includes cognitive factors like risk knowledge, pre-defined strategies to coordinate communication and meetings, hazard-specific behaviors and skills, such as first aid and fire fighting training. The report also explores the data availability of these preparedness indicators for Switzerland and highlights existing gaps in the preparedness literature with regards to empirical evidence for the composition and effectiveness of emergency supply kits, as well as the specific challenges of suburban contexts. Recommendations for future analyses include: individual preparedness actions related to the COVID-19 pandemic; an evaluation of smartphones’ potential for digitizing disaster preparedness tools; impacts of the sharing economy on access to cars, housing and tools during disasters; and an ethnography of people that make individual disaster preparedness part of their identity and lifestyle.
Realitycheck der Ambitionen der Schweizer Digitalaussenpolitik
Kohler, Kevin; Pangrazzi, Sara; Zahn, Nicolas (2022)
Die Digitalisierung beschäftigt auch die Aussenpolitik. In diesem Diskussionspapier von foraus präsentieren CSS Forscher Kevin Kohler, Sara Pangrazzi und Nicolas Zahn einen Überblick über die Ambitionen der Schweiz in der Digitalaussenpolitik und identifizieren Herausforderungen und Lösungsansätze zur Realisierung dieser Handlungsvorschläge.
Monitoring and Reporting under the Sendai Framework for Disaster Risk Reduction
Kohler, Kevin; Hauri, Andrin; Roth, Florian; et al. (2020)
CSS Risk and Resilience Reports
This Risk and Resilience Report by Kevin Kohler, Andrin Hauri, Florian Roth, Tim Prior and Benjamin Scharte discusses the national coordination of reporting under the Sendai Framework for Disaster Risk Reduction 2015 – 2030 (SFDRR). Looking at six case studies (Austria, France, New Zealand, Germany, Sweden, and Switzerland), it finds that there is considerable institutional variety in how the reporting is organized between ministries. Some countries struggle with data availability. Other common critical issues include that data on infrastructure and insurance claims are not shared by the private sector, and that the comparability of data within and between countries is not always given due to different definitions and reporting criteria.
Pandemievorbereitung in der Schweiz: Krisenvorsorge als laufender Lernprozess
Hauri, Andrin; Kohler, Kevin; Scharte, Benjamin; et al. (2020)
Bulletin zur schweizerischen Sicherheitspolitik ~ Bulletin 2020 zur schweizerischen Sicherheitspolitik
In this contribution to the Bulletin 2020, Andrin Hauri, Kevin Kohler, Benjamin Scharte and Andreas Wenger focus on pandemic preparedness in Switzerland. They describe Switzerland's pandemic preparedness planning as a step-by-step learning process alongside international coordination efforts. A snapshot describes the status of preparations before the outbreak of the coronavirus pandemic. At that time, according to the authors, there were still many gaps and interdependencies. Many weaknesses were known to the experts but had been pursued only hesitantly due to a lack of pressure to act and an absence of political attention.
National Risk Assessments of Cross-Border Risks
Kohler, Kevin (2023)
CSS Risk and Resilience Reports
This report compares the assessment of nine European countries of five cross-border risks: An electricity supply shortage, a nuclear accident, a pandemic, severe space weather, and a volcanic outbreak. Even though the selected countries have correlated risk profiles for these hazards, the report finds some significant differences in their likelihood and impact estimations. For example, for a severe nuclear accident scenario the likelihood span is up to 10’000x, and for a large volcanic outbreak up to 5’000x. Some of these differences can be traced back to methodological choices, such as probabilistic safety assessments versus historical frequency, the dataset used, or modelling adaptions, such as the downgrading of the severity of historical pandemics to account for modern medicine. Lastly, the report also highlights a number of general considerations for national risk assessments and cross-border risks. For example, the standard 5x5 risk matrix used in ISO 31010 and EU recommendations can introduce distortions in risk communication and priorization, such as underestimating risks with extreme impacts

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