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UID:19558-0b53199b882e9d0050342b8e777090df@events.la.psu.edu
DTSTAMP:20260904T102416Z
DTSTART;TZID=America/New_York:20261014T130000
DTEND;TZID=America/New_York:20261014T143000
SUMMARY:“How Did They Do It? AI Behind a Literary Data Dashboard”
DESCRIPTION:\nThis talk showcases the process behind turning a raw\, dif
ficult-to-parse dataset\, collected over more than 40 years and spanning
over 650 editions\, into a working\, interactive dashboard. Rather than
a comprehensive AI tutorial or a deep dive into the underlying literary
data itself\, the talk centers on the decisions\, obstacles\, and probl
em-solving involved in building a usable research tool from a dataset de
cades in the making.\n\nSiyang Ni will discuss how he used Claude and ot
her AI tools throughout development\, from designing a multi-stage pipel
ine to clean and validate decades of inconsistent records\, to migrating
everything into a PostgresSQL database\, building an R Shiny interface
to navigate and visualize results. Along the way\, he'll reflect on what
worked\, what didn't\, and how access to AI tools shaped his approach t
o a process to a project that would otherwise have demanded far more man
ual effort.\n\nThe project is a collaboration between Professor Anesko\,
PI and professor of English\, Professor Isasi\, director of the DLA Res
earch Initiatives\, and Siyang Ni\, a Ph.D. candidate in the Department
of Sociology and Criminology\, supported by a C-SoDA grant (2025–2026).\
n\nFor more details: https://events.la.psu.edu/event/ai-behind-a-literar
y-data-dashboard/
X-ALT-DESC;FMTTYPE=text/html:This talk showc
ases the process behind turning a raw, difficult-to-parse dataset, colle
cted over more than 40 years and spanning over 650 editions, into a work
ing, interactive dashboard. Rather than a comprehensive AI tutorial or a
deep dive into the underlying literary data itself, the talk centers on
the decisions, obstacles, and problem-solving involved in building a us
able research tool from a dataset decades in the making.
Siyang Ni
will discuss how he used Claude and other AI tools throughout developme
nt, from designing a multi-stage pipeline to clean and validate decades
of inconsistent records, to migrating everything into a PostgresSQL data
base, building an R Shiny interface to navigate and visualize results. A
long the way, he'll reflect on what worked, what didn't, and how access
to AI tools shaped his approach to a process to a project that would oth
erwise have demanded far more manual effort.
The project is a coll
aboration between Professor Anesko, PI and professor of English, Profess
or Isasi, director of the DLA Research Initiatives, and Siyang Ni, a Ph.
D. candidate in the Department of Sociology and Criminology, supported b
y a C-SoDA grant (2025–2026).
For more details: https://eve
nts.la.psu.edu/event/ai-behind-a-literary-data-dashboard/
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