Artificial intelligence-based public sector data analytics for economic crisis policymaking

What is it about?

Economic crises occur repeatedly in market-based economies, with negative consequences for large numbers of firms and citizens, so governments have to design and implement policies for mitigating these consequences. We have developed a public sector data analytics methodology that enables exploiting big public sector as well as private sector datasets, processing them with an advanced artificial intelligence feature selection technique, in order to identify firm's characteristics that affect positively or negatively its resilience to economic crisis. This provides a substantial support for the design of effective and focused public policies for supporting the firms that have been hit by the crisis.

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