This intensive 3-day training programme will provide you with the knowledge and skills needed to independently carry out network analysis applied to the field of innovation studies. The workshop will focus on both network theory and offer first-hand experience of network methods.
Each day will consist of four sessions applying network thinking to innovation studies. Theory sections provide an overview of the research questions and problems encountered by innovation scholars. This will be followed by method sessions describing tools to tackle those research questions. Finally, during practical sessions you will perform analyses yourselves. In addition, three guest speakers will present a recent example of their research using network analysis. Last year’s programme featured Martin Kilduff, Corey Phelps and Stefano Breschi.
The first day will be devoted to core network concepts and theories for innovation. The second will focus on tie formation. The final day will look at network dynamics in the generation and diffusion of innovation. The exercises will be carried out using the R statistical software. Methods include network descriptive statistics, network data collection and management, exponential random graph models, and dynamic models (e.g. RSiena).
The agenda for the event is now available here. This gives an outline of the 3 days including start and finish times, as well as the session breakdown.
The workshop is designed for those in the early stage of their academic career (PhD candidates, Post-docs, Lecturers/Assistant Professors) who want to apply network thinking in their ongoing or future research.
The goal of the programme is to provide attendees with the skills and insight they need to pursue independent research using network thinking in the field of innovation studies.
At the end of this course, you should be able to:
- critically assess existing theories that explain the role of networks in the generation of innovations;
- identify novel directions for research at the interface of networks and innovation;
- apply the toolkit of network theories, concepts and methods to design effective networks research in your own field of interest;
- perform social network analysis in R to examine processes of tie formation, network dynamics and their impact on innovation.
The application deadline has now passed and the course is full.
Venue, Agenda and Accommodation
The workshop will take place at Imperial College London. Full venue details have been sent to participants in advance.
The workshop is free and daytime lunch and refreshments will be supplied. Participants will be expected to cover and book their own travel and accommodation.