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researcher

Matthew Salganik

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • stat.AP1
ORCID 0000-0001-8968-1356

identity via Semantic Scholar / OpenAlex

most citedREFORMS: Reporting Standards for Machine Learning Based Science

19 citations · 22 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2026

Births are difficult to predict even with rich survey and full-population register data

Elizaveta Sivak, Emily M. Cantrell, Thomas Emery +109

Major life events have proven difficult to predict. Does this reflect limits of theory, data, and algorithms, or the large role of chance? We examine one outcome - having a child w…

stat.AP2023★ 3 cited

The origins of unpredictability in life trajectory prediction tasks

Ian Lundberg, Rachel Brown-Weinstock, Susan Clampet-Lundquist +5

Why are life trajectories difficult to predict? We investigated this question through in-depth qualitative interviews with 40 families sampled from a multi-decade longitudinal stud…

cs.LG2023★ 19 cited

REFORMS: Reporting Standards for Machine Learning Based Science

Sayash Kapoor, Emily Cantrell, Kenny Peng +16

Machine learning (ML) methods are proliferating in scientific research. However, the adoption of these methods has been accompanied by failures of validity, reproducibility, and ge…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.