Crowdfunding social projects is an innovative and inspiring way to foster cooperation and collaboration within our society. By democratizing access to funds, it ensures that any entrepreneur has the support needed to implement a project. These projects often work on a "all or nothing" basis, where the project only gets funded if the initial funding target is met. The project in question aims to determine the key factors that influence the success of a crowdfunding campaign, helping fundraisers improve the quality of their campaigns and, as a consequence, increase the chance of hitting the funding targets of their projects.
The project, developed in partnership between the multidisciplinary team of Nova SBE Data Science Knowledge Center and PPL Crowdfunding, has developed a predictive model that estimates the likelihood of a campaign reaching its crowdfunding goal. In addition to informing the predicted probability of success throughout the campaign, the tool also points out the main factors responsible for the forecast. This information will support PPL in providing timely feedback to fundraisers on how to best set up their campaigns, as well as proactively react to ongoing ones, in order to maximise the chance of raising the capital required for their projects.
Data Science KC aims to advance knowledge about data-driven decision-making and its application in society. Our position in a school of business and economics, and our understanding of social sciences, technology, programming, and statistical methods, allow us to bridge the gap between organizations and technology that generates, processes and uses data for creating impact.Website
João Santos, Visiting Professor at Nova SBE, together with Choi, from Seoul University, and Yorulmazer, from Koc University, published their research that considers a macroprodential approach to analyze the optimal lending policy for the central bank.Learn more
Melissa Prado, Novo Banco Entrepreneurship & Technology Chair, explains her recent research paper. The compensation strategy to attract and retain fund managers is a key decision in operating a successful investment advisory firm. This analysis helps to identify the impact of two different compensation approaches – maximising fund performance or encouraging cooperation among their managers – and the characteristics of investment advisors who choose cooperative or competitive incentive schemes.Learn more
Rui Silva joined Nova SBE as an Assistant Professor in Finance! Recently, he published "Internal labor markets, wage convergence, and investment" in the Journal of Financial and Quantitative Analysis, 56(4), 1192-1227. Click to read the abstract and access the paper.Learn more