FGVanalytics stemmed from a cooperation initiative between Fundação Getúlio Vargas (FGV) and the São Paulo Public Security Bureau (SSP-SP), with funding from FAPESP, to promote the use of advanced technologies in public security.
Objectives:
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Create a research framework that accelerates the use of data and artificial intelligence tools for decision-making in public security.
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Collect and analyze historical and real-time information, focusing on geo-spatialization and data standardization.
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Develop advanced algorithms, prioritizing the protection of sensitive data, and thus act as a liaison between academia, public security, and businesses to promote innovative solutions to combat violence.
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Monitor/evaluate the incorporation of new tools and technologies to assess their impact on police activities and enhance their benefits.
Advance the use of data and AI for evidence-based decisions, collaborating with public and private agents to find solutions to complex social problems.
Critically integrate AI into organizations, aligning it with institutional objectives to enhance public security initiatives and beyond.
Fairness, accountability, transparency, ethics, privacy, security, explainability, and compliance.
Areas of Expertise and Activity
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Big Data Analysis and Artificial Intelligence.
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Development of Predictive and Decision Support Models.
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Evaluation of Public Security Programs.
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Research Network and Open Innovation Structuring.
Social and Economic Impact
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Impacted Sectors: Public safety, evidence-based public policies, corporate finance, longevity.
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Impact: Improve operational and predictive efficiency in public management, helping reduce violence and strengthen security.
Methodology and Technologies Used
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Data Analysis Tools: application of ai, machine learning, natural language processing (nlp), and network analysis.
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Emerging Technologies: geospatial prediction, big data analytics, and real-time monitoring.
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Strategy: inductive approach to identify challenges in areas of interest, mobilizing researchers to develop innovative solutions.
Infrastructure and Resources
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Available Resources: Advanced real-time data processing structure, laboratories specialized in data analysis.
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Accessible Databases: INFOCRIM, SIOPM, and integration with monitoring systems such as DETECTA from SSP-SP.
Equipe
Lead Researcher
Principal Researcher
Associate Researcher
Communication Manager
FAPESP Fellow
FGV Fellow
