Scripts that have been written over the years to help with ACM-related service job
acm_proceeding_citations.py : scrapes the proceeding page from ACM Digital Library for all the papers published in that proceeding and its citation.
post-r2-normalize-scores.py: generates a normalized score for all the papers in-review and generate the bulk-update file that updates the tag of the submission with the normalized score to HotCRP. (The score generated here does not affect the final results.)
research_area_and_pldi_count_query.py: query the research area and the pldi paper count of a person given their name and ACM profile URL.
tpms_to_hotcrp.py: given the paper matching results from TPMS, create a csv that used to update the HotCRP for paper assignment.
tpms_gen.py: given the information of paper bidding, create a csv that is accepted by the TPMS system.
utils.py, flatten_rows.py: random list/csv processing scripts that is helpful.