International Workshop: Economic complexity and opportunities for smart and sustainable growth

About the event

The International Workshop: Economic Complexity and Opportunities for Smart and Sustainable Growth brings together researchers, policymakers, and anyone interested in exploring how economic complexity shapes our path to a sustainable future. The workshop will feature presentations by leading experts in the field, followed by an interactive Q&A session.

This workshop has received financial support from the National Council for Scientific and Technological Development (CNPq), under process number 406943/2021-4 (Emerging Groups). It is organized in partnership with the Applied Economics & Analytics Lab of the MagIC Information Management Research Center, funded by the Fundação para a Ciência e a Tecnologia, Portugal (FCT) - UIDB/04152/2020, and the Center for Research on Complexity, Development, and Inequality (NECODE) at the Federal University of Santa Catarina.

We look forward to welcoming you to the event!

Program

2:00 p.m | Welcome Session

2:05 p.m. | Presentation I – Economic Complexity: from development patterns to development traps

Flávio Pinheiro (NOVA Information Management School)

2:45 p.m | Presentation II – Smart Diversification and Social Mobility

Dominik Hartmann (Federal University of Santa Catarina, Brazil)

3:25 p.m. | Presentation III - Bioeconomy: Sustainable Development Goals and Monitoring Issues

Diogo Ferraz (Federal University of Ouro Preto (UFOP); São Paulo State University (UNESP), Brazil

4:10 p.m. | Panel discussion and insight exchanges

4:30 p.m. | Closing Session

Speakers

Dominik Hartmannde

Professor at the Department for Economics and International Relations at the Federal University of Santa Catarina
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Diogo Ferraz

Professor at the Department of Economics and the Postgraduate Program in Applied Economics (PPEA) at the Federal University of Ouro Preto (UFOP), and a professor at the Production Engineering Postgraduate program at the São Paulo State University (UNESP)
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Flávio Pinheiro

Assistant professor in Data Science at NOVA IMS
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