4 papers · 1 filter
Contemporary AI lacks the imagination to diverge or negate in science
Honglin Bao, Siyang Wu, Xiao Liu +3
Bold claims that AI will accelerate scientific discovery have raced ahead of evidence from working scientists, yet large-scale, scientist-in-the-loop evidence is scarce. Here we mo…
Building an Atlas of Social Experiments to Link Studies, Reconcile Conflicts, and Bridge Gaps
Jiawei Zhang, Honglin Bao, Pengda Wang +3
Social and behavioral science runs thousands of experiments each year, yet their findings rarely accumulate into a coherent map of what is known, what conflicts, and what remains m…
Language Models Should be Used to Surface the Unwritten Code of Science and Society
Honglin Bao, Siyang Wu, Jiwoong Choi +2
This paper calls on the research community not only to investigate how human biases are inherited by large language models (LLMs) but also to explore how these biases in LLMs can b…
From Division to Unity: A Large-Scale Study on the Emergence of Computational Social Science, 1990-2021
Honglin Bao, Jiawei Zhang, Mingxuan Cao +1
We present a comprehensive study on the emergence of Computational Social Science (CSS) - an interdisciplinary field leveraging computational methods to address social science ques…