this site operates as a thesis proposal presentation for computational design practices.
gen-lib-embeddings.py uses a sentence transformer model to convert metadata in network-library.csv to 2d embeddings. this is used to generate the spatialized network library in book-script-network.js.
gen-timeline.py generates an SVG drawing of sequential events from index-of-networks.csv.
index-csv-to-graph-json.py reads index-of-networks.csv and writes nodes and links to network_graph.json. this is used to generate the d3 network graph in network-graph-script.js.
