CNEI22: Complex Networks in Economics and Innovation Shanghai, China, July 18, 2022 |
Conference website | https://mrfrank8176.github.io/Complex-Networks-in-Economics-and-Innovation/ |
Submission link | https://easychair.org/conferences/?conf=cnei22 |
Submission deadline | May 23, 2022 |
Notification to Authors | June 3, 2022 |
We are looking for abstracts for the “Complex Networks in Economics and Innovation” satellite event of the NetSci 2022 conference.
This satellite will collect contributions using complex network analysis to model economic systems and to gain insights into economic development. Recent results on economic complexity, the principle of relatedness, and on the automation of workplace activities have shown how network analysis can uncover the pathways for innovation and economic development while highlighting potential issues. For example, the Product Space analysis showed how a bipartite country-product network reveals economic complexity that is strongly correlated with diversified export portfolios and future GDP growth. More generally, the principle of relatedness unveils hidden relationships between different industrial activities that can be leveraged to diversify an economy. Failure to exploit these opportunities impedes economic convergence through economic friction. There is much to add to this research, ranging from enhancing its spatial granularity (from global/regional economics to the intra-firm level), to exploring the complex dynamics of knowledge exchange (which is at the basis of the development of new skills and, therefore, of new economic activities), to applying similar techniques in new areas of economic research.
Submission Guidelines
You should submit an abstract of one-page abstract including one optional descriptive figure and caption. If you’re presenting at NetSci 2022 or another of its satellites, there should not be too much overlap with your other contributed talks. Your abstract should be submitted to https://easychair.org/my/conference?conf=cnei22
List of Topics
- Mapping the relationship of complex economic activities at the global, regional, and local level;
- Tracking flows of knowhow in all its forms;
- Creating networks of related tasks and skills to estimate knockoff effects and productivity gains of automation;
- Investigating the dynamics of research and innovation via analysis of patents, inventions, and science;
- Uncovering scaling laws and other growth trends able to describe the systemic increase in complexity of activities due to agglomeration;
- In general, any application of network analysis that can be used to further our understanding of economics.
Organizing committee
- Michele Coscia, IT University of Copenhagen
- Morgan Frank, University of Pittsburgh
Invited Speakers
- Renaud Lambiotte, University of Oxford
- Teresa Farinha, United Nations University
- Neave O'Clery, University College London
- Alessandra Urbinati, University of Turin
- More, pending acceptance.
Venue
The event will be fully virtual. We will communicate the official link closer to the event. You can decide whether you have a recorded presentation or not -- however you’ll need to be present for questions even if you opt for a recorded talk.
Contact
All questions about submissions should be emailed to mcos@itu.dk, or mrfrank@pitt.edu