Ex-ante evaluation: using real options techniques to evaluate public R&D-funding programs

• Grant number: 18/05144-4
• Support Opportunities: Scholarships in Brazil - Doctorate (Direct)
• Start date: April 01, 2018
• End date: December 31, 2019
• Field of knowledge: Interdisciplinary Subjects
• Principal Investigator: Sergio Luiz Monteiro Salles Filho
• Grantee: Vinicius Muraro da Silva
• Host Institution: Instituto de Geociências (IG). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated research grant: 13/50524-6 - Innovation systems, strategies and policies, AP.SPEC

Abstract

This Ph.D. dissertation will investigate the use of the "real options" methodology to evaluate public R&D funding. The roots of this methodology are in financial options. It has been used in the private sector but it is new for the public sector. Its major advantage is a much improved handling of risk. The work will involve theoretical analysis, application to real public program data, and policy justification. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

MURARO, VINICIUS; SALLES-FILHO, SERGIO. Big data, machine learning and uncertainty in foresight studies. FORESIGHT, v. 26, n. 3, p. 17-pg., 2024-05-21. (18/05144-4)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

SILVA, Vinicius Muraro da. Estudos de futuro e foresight para ciência, tecnologia e inovação: tendências do uso de big data e machine learning. 2021. Doctoral Thesis - Universidade Estadual de Campinas (UNICAMP). Instituto de Geociências Campinas, SP.