Pablo M. Flores

Pablo M. Flores is a computational social scientist affiliated with Pontificia Universidad Católica de Chile's School of Communication as an Adjunct Assistant Professor. As a founding member of Science to People, he develops VeriSci.AI, a tool delivering evidence-based health information to social media creators. His academic background includes a Ph.D. in Communication from UC Davis and a BS in Industrial Engineering (Mathematics emphasis) from Pontificia Universidad Católica de Chile.

His research integrates natural language processing, network analysis, and causal inference to examine:

• Information flow dynamics in social systems
• Collective emotional patterns in digital spaces
• Human-AI interaction frameworks
• Social impacts of algorithmic systems

Current investigations focus on emotionally aware AI for optimizing information-sharing processes.

Publications predominantly explore computational social science themes, with recent works (2023-2024) analyzing algorithmic recommendation risks, emotion-driven information sharing, and post-disaster communication patterns. Earlier research (2017-2020) investigated media's role in disaster mental health support and audience perceptions of journalistic techniques.

Key collaborations include:

• Leading a CONICYT-Chile funded multidisciplinary team at PUC developing communication software
• Graduate research at UC Davis' Computational Communication Research Lab (C²Lab)
• Co-founding Science to People for AI-driven science communication