Ana Trišović is a Research Scientist at MIT's FutureTech Lab studying the societal and scientific impacts of AI. Her work examines foundation model adoption, AI-driven automation, and the risks of de-democratization, translating large-scale empirical findings into policy recommendations. She is affiliated with Computer Science and Artificial Intelligence Laboratory, MIT Sloan School of Management, and Harvard University's Institute for Quantitative Social Science.
Research Interests
| Methods: Foundation Models & Generative AI, LLM Evaluation & Benchmarking, Behavioral Analysis, Big Data Analytics, Causal Inference |
| Research Areas: AI Adoption & Societal Impact, AI Automation & Future of Work, Science Policy & Governance, AI Democratization & Global Competition |
Experience
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Research at Massachusetts Institute of Technology, Harvard University & University of Chicago |
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Ph.D. in Applied Computer Science University of Cambridge & CERN, 2018 |
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B.Sc. in Computer Science Union University, 2014
B.Sc. in Engineering University of Belgrade, 2014
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Research Areas
| AI, Science & Society |
| AI Methodology |
| Scientific Data & Infrastructure |
| Data Visualization & Statistical Analysis |
Featured Publications
LLMs in Citation Intent Classification: Progress, Precision, and Reproducibility Challenges
ACM Conference on Reproducibility and Replicability (ACM REP)
SpaCE: The Spatial Confounding Environment
The 12th International Conference on Learning Representations (ICLR)