Manfred D.  Laubichler

Dr. Manfred D. Laubichler

School of Life Sciences, Arizona State University (Tempe, USA); Santa Fe Insitute (Santa Fe, USA)
orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 October 2020 in Nature Sustainability
Verified
Journal Article
Closed access
PDF file
GCGuido Caniglia
Guido Caniglia
CLC. Luederitz
C. Luederitz
TWTimo Von Wirth
Timo Von Wirth
IFI. Fazey
I. Fazey
BMB. Martín-López
B. Martín-López
DLD. J. Lang
D. J. Lang

16 December 2020 in Risk Analysis
Verified
Journal Article
Open access
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OROrtwin Renn
Ortwin Renn
MManfred D. Laubichler
Manfred D. Laubichler
KLKlaus Lucas
Klaus Lucas
WKWolfgang Kröger
Wolfgang Kröger
JSJochen Schanze
Jochen Schanze
PSPia‐Johanna Schweizer
Pia‐Johanna Schweizer
Systemic risks are characterized by high complexity, multiple uncertainties, major ambiguities, and transgressive effects on other systems outside of the system of origin. Due to these characteristics, systemic risks are overextending established risk management and create new, unsolved challenges for policymaking in risk assessment and risk governance. Their negative effects are often pervasive, impacting fields beyond the obvious primary areas of harm. This article addresses these challenges of systemic risks from different disciplinary and sectorial perspectives. It highlights the special contributions of these perspectives and approaches and provides a synthesis for an interdisciplinary understanding of systemic risks and effective governance. The main argument is that understanding systemic risks and providing good governance advice relies on an approach that integrates novel modeling tools from complexity sciences with empirical data from observations, experiments, or simulations and evidence‐based insights about social and cultural response patterns revealed by quantitative (e.g., surveys) or qualitative (e.g., participatory appraisals) investigations. Systemic risks cannot be easily characterized by single numerical estimations but can be assessed by using multiple indicators and including several dynamic gradients that can be aggregated into diverse but coherent scenarios. Lastly, governance of systemic risks requires interdisciplinary and cross‐sectoral cooperation, a close monitoring system, and the engagement of scientists, regulators, and stakeholders to be effective as well as socially acceptable.

7 November 2016 in International Journal of Sustainability in Higher Education
Verified
Journal Article
Closed access
GCGuido Caniglia
Guido Caniglia
BJBeatrice John
Beatrice John
MKMartin Kohler
Martin Kohler
LBLeonie Bellina
Leonie Bellina
AWArnim Wiek
Arnim Wiek
DLDaniel Lang
Daniel Lang
Purpose: This paper aims to present an experience-based learning framework that provides a bottom-up, student-centered entrance point for the development of systems thinking, normative and collaborative competencies in sustainability.Design/methodology/approach: The framework combines mental mapping with exploratory walking. It interweaves mapping and walking activities with methodological and theoretical inputs as well as with reflections and discussions. The framework aligns experiential activities, i.e. mental mapping and walking, with learning objectives, i.e. novice-level sustainability competencies. The authors applied the framework for student activities in Phoenix/Tempe and Hamburg/Lüneburg as part of The Global Classroom, a project between Arizona State University in the USA and Leuphana University of Lüneburg in Germany.Findings: The application of the experience-based learning framework demonstrates how students started developing systems thinking (e.g. understanding urban systems as functional entities and across different domains), normative (e.g. using different sustainability principles) and collaborative (e.g. learning across disciplinary, social and cultural differences) competencies in sustainability.Originality/value: The experience-based learning framework contributes to the development of curricular activities for the initial development of sustainability competencies in introductory-level courses. It enables students from different disciplinary, social and cultural backgrounds, e.g. in international education, to collaboratively start developing such competencies. The framework can be adapted to different educational contexts.

11 June 2015 in Journal of Experimental Zoology Part B: Molecular and Developmental Evolution
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Journal Article
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MManfred D. Laubichler
Manfred D. Laubichler
JRJürgen Renn
Jürgen Renn
This paper introduces a conceptual framework for the evolution of complex systems based on the integration of regulatory network and niche construction theories. It is designed to apply equally to cases of biological, social and cultural evolution. Within the conceptual framework we focus especially on the transformation of complex networks through the linked processes of externalization and internalization of causal factors between regulatory networks and their corresponding niches and argue that these are an important part of evolutionary explanations. This conceptual framework extends previous evolutionary models and focuses on several challenges, such as the path‐dependent nature of evolutionary change, the dynamics of evolutionary innovation and the expansion of inheritance systems.J. Exp. Zool. (Mol. Dev. Evol.) 324B: 565–577, 2015. © 2015 The Authors.Journal of Experimental Zoology Part B: Molecular and Developmental Evolutionpublished by Wiley Periodicals, Inc.

LZLukas Zenk
Lukas Zenk
GSGerald Steiner
Gerald Steiner
MCMiguel Cunha
Miguel Cunha
MManfred D. Laubichler
Manfred D. Laubichler
MBMartin Bertau
Martin Bertau
Eva SchernhammerEva Schernhammer
Eva Schernhammer
Although the first coronavirus disease 2019 (COVID-19) wave has peaked with the second wave underway, the world is still struggling to manage potential systemic risks and unpredictability of the pandemic. A particular challenge is the “superspreading” of the virus, which starts abruptly, is difficult to predict, and can quickly escalate into medical and socio-economic emergencies that contribute to long-lasting crises challenging our current ways of life. In these uncertain times, organizations and societies worldwide are faced with the need to develop appropriate strategies and intervention portfolios that require fast understanding of the complex interdependencies in our world and rapid, flexible action to contain the spread of the virus as quickly as possible, thus preventing further disastrous consequences of the pandemic. We integrate perspectives from systems sciences, epidemiology, biology, social networks, and organizational research in the context of the superspreading phenomenon to understand the complex system of COVID-19 pandemic and develop suggestions for interventions aimed at rapid responses.

3 September 2007
Verified
Book
Closed access
WAWilliam C. Aird
William C. Aird
MManfred D. Laubichler
Manfred D. Laubichler
JMJane Maienschein
Jane Maienschein
Warren BurggrenWarren Burggren
Warren Burggren
CRCarl L. Reiber
Carl L. Reiber
DSDaniel L. Schodek
Daniel L. Schodek
The endothelium, the cell layer that forms the inner lining of blood vessels, is a spatially distributed system that extends to all areas of the human body. Clinical and basic research demonstrates that the endothelium plays a crucial role in mediating homeostasis and is involved in virtually every disease, either as a primary determinant of pathophysiology or as a victim of collateral damage. The endothelium has remarkable, though largely untapped, diagnostic and therapeutic potential. This volume bridges the bench-to-bedside gap in endothelial biomedicine, advancing research and development and improving human health. The book is the first to systematically integrate knowledge about the endothelium from different organ-specific disciplines, including neurology, pulmonary, cardiology, gastroenterology, rheumatology, infectious disease, hematology-oncology, nephrology, and dermatology. It's interdisciplinary approach, which draws on expertise from such diverse fields as evolutionary biology, comparative biology, molecular and cell biology, mathematical modeling and complexity theory, translational research, and clinical medicine.