Technical
π° I use a combination of Optical Character Recognition (OCR) technologies to extract and structure content from 1980sβ1990s Turkish computer magazines. This workflow transforms scanned legacy print media into searchable, analyzable corpora for computational research.
π I apply methods such as Structural Topic Modeling (STM) and semi-supervised learning to uncover latent themes and classify large-scale corpora. These approaches enable both exploratory and theory-informed analysis of digital and historical communication patterns.
πΊοΈ I use Named Entity Recognition (NER) to extract geospatial data from textual sources. This information feeds into geomapping pipelines that visualize the spatial dimensions of political and cultural discourse over time.
Pedagogical
π I want to design inclusive, community-driven learning environments that reflect the needs and experiences of underrepresented groups, especially in rural creative sectors.
π I’m interested in developing Massive Open Online Courses (MOOC) that prioritize accessibility, ethical AI literacy, and mobile-first design to support digital skills development.
π€ My approach centers on participatory pedagogy, treating learners as co-creators to foster ownership, peer learning, and local relevance.