Interdisciplinary PhD School
From the emergence of infectious diseases to wicked pattern of conflicts, from the unsustainable management of natural resources to the destruction of biodiversity, from widespread economic hardship to the rise of inequalities, our contemporary challenges exhibit high level of complexity.
Researching these global issues characterized by interconnections and interdependence, integration and fragmentation, instability and surprises, requires more than ever innovative research approaches that transcend disciplinary boundaries.
As the collaboration between disciplines has become an essential part of research, developing an active community of doctoral researchers reflecting on the challenges and obstacles associated with interdisciplinarity is paramount for fostering excellence in research.
The Global Studies Institute offers a PhD school constituted of several modules tailored to the need of doctoral students interested in studying globalization and global governance through critical, systems, and interdisciplinary approaches. Each module balances expert teaching with more participative pedagogy.
MODULE: GOVERNANCE, NETWORK AND DATA SCIENCE
Information
Date: 12 - 15 September 2022
Location: Global Studies Institute, University of Geneva
Language: English
Credits: 6 ECTS
Number of participants: limited to 15
Deadline for application: 1st June 2022
Summary
The 2022 edition of the Global Studies Institute interdisciplinary doctoral school will focus on Governance, complexity, and data science. The doctoral school aims to bring together an interdisciplinary community of scholars at different stages of their carrier (approximately 15 people) interested in the intersection between governance, complexity, and data science. The 4 days module aims to take stock of the progress made in the study of interactive forms of governance against the background of growing institutional complexity. The module will consider both theoretical development and methodological progress based on the rapid development of data science.
Objectives
The 2022 edition of the Global Studies Institute interdisciplinary doctoral school will focus on Governance, network and data science and aims to take stock of the progress made in the study of interactive forms of governance considering both theoretical development and methodological progress based on data science. The topics to be covered are the following (tentative programme).
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Day 1 Monday 12 September |
A structural approach to regime complexity and interactive governance The goal of the first day is to introduce different forms of interactive governance (e.g., intersectional, interorganizational, multilevel) to understand how institutions interact with others and discuss different approaches to evaluate and measure institutional complexity from small -n studies to larger dataset. |
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Day 2 Tuesday |
Advances in understanding the effets of regime complexity The goal of this second day is to take stock of our understanding of regime complexity including its main drivers and effects (e.g., forum shopping, regime and problem shifting), and the means, mechanisms, and obstacles to interactive governance. |
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Day 3 Wednesday 14 September |
The effectiveness of governance systems The goal of the third day is to discuss both the positive and negative effects of institutional complexity in terms of output, outcomes, and impact. As establishing causality between governance systems and the issue to be governed remains methodologically challenging, the goal of this day is to take stock of innovative approaches in this area. |
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Day 4 Thursday 15 September |
Focusing on interdependencies Considering governance system as co-evolutionary network, this fourth day is dedicated to improving our understanding of the causes and consequences of the complex patterns of interdependencies that characterise many global challenges. |
More information about the module including the tentative programme will be provided soon.
Target
The doctoral school aims to bring together an interdisciplinary community of scholars at different stages of their carrier (approximately 20 people) interested in the intersection between governance, complexity, and data science. The doctoral school is primarily intended for doctoral candidate (and more advanced researchers) with a background in social sciences (political science, international law, economics) who are interested in understanding governance from a complexity lens. Data scientists and complexity scientists with an interest in global governance are also welcome.
Format
The doctoral school will feature a diversity of formats. Each half-day will be structured as follow: 1) a synthesis of the literature with an emphasis of the current frontiers in research 2) an interactive session where early-stage researchers can discuss their paper and receive feedback from their peers and professors 3) an interactive workshop to learn about specific applications of data science/complexity approach to governance.
Organisation
The doctoral school is organized by the Geneva Transformative Governance Lab at the Global Studies Institute. The scientific committee responsible to ensure the quality of the scientific programme and the selection of abstract is composed of the following:
- Dr. Didier Wernli, MD MA PhD. Senior Researcher. Director of the Geneva Transformative Governance Lab, Global Studie Institute, University of Geneva.
- Prof. Nicolas Levrat, PhD. Professor of European and International Law, Director of the Global Studies Institute, University of Geneva.
- Prof. Sandra Lavenex, PhD. Professor of political science, Director of the Department of political science and international relations, School of social sciences, University of Geneva.
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Prof. Bastien Chopard, PhD. Professor of computer science, Head of the Department of Computer Science, Faculty of Science, University of Geneva.
Topics to be covered
- Regime complex and institutional complexity
- Modelling of governance system through multiplex network
- Fragmentation and conflict in global governance
- The effectiveness of institutional complexity
Application
To be eligible, applicants must hold a master’s degree and be engaged in a doctoral dissertation. More advanced researchers are welcome to attend. Attendance is free of charge. Some support is provided for accommodation/travel for doctoral researchers pursuing their PhD in higher education institutions in Switzerland.
To apply, send an email to gsiphdschool@unige.ch with the following documents (as pdf or docx formats):
- A motivation letter
- A short CV
- A topic to be presented/abstract during the doctoral school (maximum of 500 words)
- A short letter of reference from PhD supervisor
For further enquiries, please send an email to gsiphdschool@unige.ch