Angjelin Hila | Academic Portfolio

Angjelin Hila | Academic Portfolio

Angjelin Hila is a information scientist, writer and artist.

Sitemap

A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Paper Title Number 4

Published in GitHub Journal of Bugs, 2024

This paper is about fixing template issue #693.

Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
Download Paper

talks

Institutional values and information environments, Presentation, iSchool Student Conference

Published:

In this talk, I argued that emerging social media information environments such as Twitter, Instagram, Facebook erode the quality of public discourse, in consequence undermining democracy. Specifically, the presentation argued that the new social media platforms effectuate the disaggregation of information channels and sources, potentiating information siloes and favoring small and simple information units with the capacity for memetic dissemination, leading to a reduction of rational standards. Leveraging dual-process theory and reverse-adaptation theory, the presentation argues that because information units on social media platforms favor replication over epistemic merit, they undermine system which is indispensible and conductive to rational thought: the processing of sequential information for logical rigor, as well as consensus-building mechanisms that rely on social norms of civil discourse.

Dazzling data visualizations: Interactive community maps with tableau public

Published:

In this conference I presented how to use Tableau Public to create community data visualizations that leverage open public library data. The purpose of the presentation was to (a) teach participants how to leverage different data sources, conduct data manipulations and joins, leverage Tableau Functions to transform data and convert them into effective visualizations and (c) showcase these steps using Toronto Public Library data in the service of community planning and communicating data-driven outcomes.

An enactivist approach to HCI: Bridging the gap between agent autonomy and affordances - HCI International 2025 Proceedings

Published:

In this talk, I presented my paper “An enactivist approach to HCI: Bridging the gap between agent autonomy and affordances”, which advances draws from the Enactivist theory of cogntion to reoperationalize the “sense of agency” variable in HCI into “feelings of agency” as a neurophenomenological variable. The decomposes feelings of agency into two subconstructs: (a) affective engagement, measured neurodynamically through Frontal Alpha asymmetry and alpha-beta ratio, and (b) volitional attention, measured neurodynamically through cross-frequency coupling in the anterior cingulate cortext (ACC) and orbitofrontal cortext (OFC). The talk proposes that this reoperatioanlization is a better measure of how emerging HCI modalities affect personal agency and advances three design principles: (i) Engagement-Disengagement Modulation, (ii) Affordance Gradation, and (iii) expressive and authorial interfaces.

The epistemological consequences of llms: Rethinking collective intelligence and information institutions

Published:

I this talk at the ASIS&T SIG Symposium I presented my paper “The epistemological consequences of llms: Rethinking collective intelligence and information institutions”. The paper advances an analysis of LLMs from the perspective of modern epistemology, arguing that LLMs fundamentally lack reflective knowledge, the type of knowledge that endows propositions with internalist justifiedness and upon which knolwedge transmission ultimately depends. Because LLMs are transmitters of already justified bodies of knowledge, their use as sources of justifiedness threatens to erode the epistemic status of human reasoners. The erosion of internalist justifiedness across networks of human reasoners threatens the advancement of knowledge and can exacerbate the proliferation of errors. The talk proposes the institution of epistemic norms within human-LLM interaction, proposing both institutional and individual norm-setting models that seek to preserve and promote epistemic virtues.

Assessing the reliability of large language models for deductive qualitative coding: A comparative intervention study with chatgpt

Published:

I this talk at the ASIS&T Annual Meeting I presented my paper “Assessing the reliability of large language models for deductive qualitative coding: A comparative intervention study with chatgpt”. The paper assesses whether ChatGPT can achieve standard benchmarks in structured deductive classification tasks. The study uses the Comparative Agendas Project Supreme Court classes as a human-coded benchmark, finding that with a step-by-step task decomposing strategy aproximating chain-of-thought prompting, ChatGPT reaches acceptable levels of interrater reliability and accuracy levels approximating a custom-trained classifier such as ROBERTA. My talk focused on the implications of utilizing chatbots as approximate human coders or assistants.

teaching

Python Data Science: An Introduction to Classification Algorithms

Workshop, Toronto Public Library: Creation Loft Digital Hub, 2024

Course Overview

This workshop introduced participants to classical classification algorithms such as Naive Bayes and Decision Trees, classification metrics such as precision, recall, accuracy, F-Measure, MCC, ROC, cross-entropy, etc and how to implement and compare the performance of these algorithms via Python on sample datasets. Participants learned the math behind Bayes’ Theorem and decision tree construction with Shannon information Gain.

Python Data Science: An Introduction to Deep Learning with Tensorflow

Workshop, Toronto Public Library: Creation Loft Digital Hub, 2024

Course Overview

This workshop introduced students to the basic math behind multi-layer perceptrons, including activation and loss functions, the universal approximation theorem, and how to implement an image and text classifier through the Python Tensorflow library.

An Introduction To Network Analysis and Visualization with Gephi

Workshop, Toronto Public Library: Creation Loft Digital Hub, 2024

Course Overview

This workshop introduced participants to graph theory and social network theory, including a basic mathematical understanding of graph properties such as degree, paths, walks, trails, direction, connectivity, cycles and graph structure including directed, undirected, and hypergraphs. Participants were introduced to graph adjacency lists and matrices and centrality and eccentricity measures including degree, distance, diameter, closness centrality, betweeness centrality, eccentricity, eigenvector centrality, clustering coefficient, modularity, Pagerank algorithm, assortativity coefficient, and diachronic graphs. Participants learned to analyze and visualize custom datasets on Gephi.

Python Data Science: An Introduction to Regression

Workshop, Toronto Public Library: Creation Loft Digital Hub, 2024

Course Overview

This workshop introduced participants to simple, multiple, polynomial and logistic regression. Particpants learned the math behind these algorithms, including solutions through ordinary least squares, evaluation metrics such as mean squared error (MSE) and variants, and how to implement and evaluate regression in Python via the coefficient of determination. Participants learned to train a basic regression classifier.

Teaching Assistant: INF 385T - Datafication and Its Consequences Permalink

Graduate course, University of Texas at Austin, School of Information, 2026

I served as TA for this Course under Dr. Elliott Hauser. Course Description: Processes, techniques, and technologies that generate inscriptions (ready-to-take data), especially from or about people(s) or culture(s). Contexts, consequences, and history of datafication practices. Purposive intervention with datafication processes, practices, and artifacts.

Irise: Research Institute for StoryArc Exploration Permalink

PhD Mentor and Collaborator, University of Texas at Austin, 2026

This program re-imagines both the undergraduate research experience and the PhD student teaching and mentoring experience. Rather than working on a small piece of a preexisting project, undergraduate and PhD students collaborate in teams to co-design and conduct their research from beginning to end, gaining hands-on experience across each phase of the research process (research problem, literature review, developing research questions, data collection, data analysis, and dissemination).