Program Overview

Interdisciplinary PhD School

The Interdisciplinary PhD School is offered by the Global Studies Institute at the University of Geneva. The school is designed to bring together an interdisciplinary community of scholars at different stages of their careers, interested in studying globalization and global governance through critical, systems, and interdisciplinary approaches.

Governance, Network, and Data Science Module

The 2022 edition of the Global Studies Institute interdisciplinary doctoral school will focus on Governance, complexity, and data science. The module aims to take stock of the progress made in the study of interactive forms of governance against the background of growing institutional complexity.

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 doctoral school aims to bring together an interdisciplinary community of scholars at different stages of their careers, interested in the intersection between governance, complexity, and data science. The 4-day module will consider both theoretical development and methodological progress based on the rapid development of data science.

Objectives

The objectives of the module include:

• Taking stock of the progress made in the study of interactive forms of governance
• Considering both theoretical development and methodological progress based on data science
• Discussing the topics of regime complexity, institutional complexity, and the effectiveness of governance systems

Topics to be Covered

The module will cover the following topics:

• Regime complex and institutional complexity
• Modelling of governance system through multiplex network
• Fragmentation and conflict in global governance
• The effectiveness of institutional complexity

Format

The doctoral school will feature a diversity of formats, including:

• A synthesis of the literature with an emphasis on current frontiers in research
• Interactive sessions where early-stage researchers can discuss their papers and receive feedback from peers and professors
• Interactive workshops to learn about specific applications of data science/complexity approach to governance

Organization

The doctoral school is organized by the Geneva Transformative Governance Lab at the Global Studies Institute. The scientific committee responsible for ensuring the quality of the scientific program and the selection of abstracts is composed of:

• Dr. Didier Wernli, MD MA PhD, Senior Researcher, Director of the Geneva Transformative Governance Lab, Global Studies 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
• Prof. Bastien Chopard, PhD, Professor of computer science, Head of the Department of Computer Science, Faculty of Science, University of Geneva

Target

The doctoral school is primarily intended for doctoral candidates (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.

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.

Application Requirements

To apply, send an email 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