The onomastic mille-feuille is a simple visualization for tabular data, where different colors represent different NamSor classes (ex. gender, US'race'/ethnicity, origin/country/diaspora ... or a combination of those) stacked in ordinate. In abscissa, any grouping can be chosen : it could be geographic (country or region ...), or other features such as a job type, an interest, a language.
All NamSor artworks are released as Creative Commons CC-BY-4.0 https://creativecommons.org/licenses/by/4.0/
'Origin' is a back-testing of NamSor Origin API v2.0.10 on Wikidata names (20200513_WW_WikiData.sql and 20200526_WikiData_NamSorV2010_BackTest_vF.xlsx/fnln_origin_confusion). It reflects how correlation between personal names and a particular country of origin (as recognized by Origin API v2.0.10). The onomastic mille-feuille was post-processed with Inkscape to add a mirror effect.
'Chinese sea' is a colorful view of the cartography of COVID-19 Scientific Literature, from the angle of nationality / country of origin or ethnicity of scientists across 30 different subject clusters.
It reflects a collaboration project of Dario Rodighiero (MIT CMS/W / Harvard Metalab), Eveline Wandl-Vogt (Ars Electronica Research Institute knowledge for humanity / Austrian Academy of Sciences), and Elian and Gabriel Carsenat (NamSor).
Using the open-source database COVID-19 Open Research Dataset (CORD-19) released on July 1, 2020 by the Allen Institute for AI, scientific articles are grouped by authors and analyzed with methods of Natural Language Processing.
The canvas shows the pre-eminence of Chinese names across all 30 subject clusters. Their overall share in production of science is the large blue 'sea' making about a third of the canvas.
Apart from China, most countries have worked in silos and focused their effort on one single subject. So their combined production of science looks like a mountainous shore. Find the source code on Github, https://github.com/namsor/COVID-19#chinese-sea-artwork
This work was first presented at Ars Electronica 2020. From it were made 15 original and unique prints on A0 foamboard (1189mm X 841mm) with Certificate of Authenticity.
Run
python api.py
Then post the tabular data to http://127.0.0.1:5000/api and receive the SVG output.