Scholar | Information Scientist | Artist
PhD Candidate in Information Science • Sociotechnical Systems • Human-AI Interaction • Computational Social Science
Website: angjelinhila.com
Email: ahila@utexas.edu
GitHub: angjelinhila
Medium: angjelinhila
ORCID: 0009-0005-0481-0443
I am a doctoral researcher working at the intersection of information science, computational social science, and human-AI interaction. My research explores how socio-technical systems, emerging forms of human-AI hybrid intelligences, and algorithmic mediation produce new material ontologies that reconstitute human agency and reconfigure social action. I also develop tools for qualitative classification and large-scale discourse analysis.
I’m currently working on a set of projects that center on human agency and technology. The first dimension of this research consits of a theoretical reconceptualization of agents and the meanning of agency and situating this reconceptualization within an empirical human-comptuer interaction (HCI) context
The second dimension consists of theorizing and situating online social action within a broader theory of social action as well as individual agency. Online agency gets filtered through a continually complexifying information ecosystem where the cooperative impetus gets coopted by competing actors such as online media, search, and a broad array of cumputing services vie for information dominance.
I approach the second dimension through a hybrid of computational and manual coding methodologies on data sources that include Reddit, and other sites of online discourse that provide evidence for changing relations of sociality and foreground emerging forms of agency in light of increasing AI dominance.
Reddit Data Modeling & Belief Causal Inference: Modeling semantic, temporal, and hierarchical structures in Reddit discourse to study belief evolution, causal inference, and democratic processes.
Social Network Modeling: Using tools like NetworkX, PyVis, and GNNs to construct graph-based models (user-user, topic-document, semantic, and hierarchical) that support analysis, prediction, and inference across large-scale social datasets.
Hybrid-Agentic Models: Building AI-human hybrid workflows for scaling qualitative coding, classification, and interpretive tasks using large language models and embedded rule-based intervention protocols.
Neurophenomenology and HCI Sense of Agency: Developing neurophenomenological methodology to measure the sense of agency (SoA) in human-computer interaction contexts, including EEG-informed VR experiments (e.g., HAX).