Data Science for International Business

Description

Are you interested in the contribution of data science to international business?

We are looking for PhD students interested in analyzing major global transformations, including platform economies, global innovation dynamics and new industrial policies, using data science as a core methodology, and unstructured data in particular.

Consult the list of topics

Methodology of choice

• Automatic natural language processing
• Unstructured data
• R, Python

Research environment

• CIRANO, Center for Interuniversity Research and Analysis of Organizations
• Professorship in Data Science for International Business

Supervising professor

Thierry Warin�

Innovation and Regional Development

Description

We are looking for students interested in conducting inter-disciplinary research in the following areas:

• Innovation, networks and regions
• Global innovation management
• Clusters and innovation ecosystems in globalized learning economies
• Global cities, knowledge dynamics and SMEs\MNEs
• Industrial dynamics, economic geography and globalisation
• Business models for sustainability, innovation and regions
• Low-tech, high-tech industries, creative industries and services

Research environment

Chair in Innovation and Regional Development

Supervising professor

David Doloreux

International Business and Public Policy

Description

We are looking for students interested in conducting inter-disciplinary research in the following areas:

• Global governance and economic diplomacy
• Global value chain-oriented policies
• Belt Road Initiative
• International business-government relations

Supervising professor

Ari Van Assche