
معرفی
Ana María Jaramillo is a Research Fellow at the Complexity Science Hub in Vienna, Austria, where she has contributed to the MAMMOth project (Multi-attribute, Multimodal Bias Mitigation in AI Systems) since June 2023, focusing on algorithmic fairness and bias mitigation in AI systems.
Her academic foundation includes a PhD in Computer Science from the University of Exeter, where she investigated the effects of segregation and diversity on scientific impact through computational sociology of science frameworks.
Dr. Jaramillo's research integrates complex systems theory with network science to model social behaviors across science, education, and public health domains. She develops data-driven interventions to build equitable academic networks, with core objectives centered on advancing cognitive justice and democratizing knowledge access. Her methodological expertise lies in network analysis of behavioral patterns and systemic biases.
Her publication record reveals a consistent trajectory in algorithmic fairness and science-of-science applications. The 2025 hyperFA*IR framework innovates fair ranking for constrained candidate pools using hypergeometric statistics, while her 2023 co-authorship network study empirically demonstrates how segregation patterns suppress scientific productivity. These works collectively bridge computer science, sociometrics, and ethical AI design.
No scientific awards were documented in the source materials.
Available information does not specify student supervision activities or grant funding details.
She actively participates in the MAMMOth project team under Fariba Karimi's leadership, contributing to both technical development and public outreach initiatives including the MAMMOth Talks podcast series. Her March 2024 CSH Salon presentation on historical gender disparities in science and her International Women's Day commentary further demonstrate her commitment to structural equity in academic ecosystems.
Ana María Jaramillo در سایتهای دیگر
جستوجوهای مرتبط
شاید اینها هم برایتان مناسب باشند
Fariba KarimiUniversity of Copenhagen · استاد
Lisette Espín-NoboaUniversity of Copenhagen · استاد مهمان
Anastassia VybornovaUniversity of Copenhagen · پژوهشگر- JJorge F JaramilloUniversity of Texas at Arlington · استاد
Ranit Debnath AkashMax Planck Institute for Security and Privacy · پژوهشگر- MMaria WodaMax Planck Institute for the Study of Crime, Security and Law · پژوهشگر ارشد