3 papers
cs.SI2018
Inferring the size of the causal universe: features and fusion of causal attribution networks
Daniel Berenberg, James P. Bagrow
Cause-and-effect reasoning, the attribution of effects to causes, is one of the most powerful and unique skills humans possess. Multiple surveys are mapping out causal attributions…
cs.HC2018
Efficient Crowd Exploration of Large Networks: The Case of Causal Attribution
Daniel Berenberg, James P. Bagrow
Accurately and efficiently crowdsourcing complex, open-ended tasks can be difficult, as crowd participants tend to favor short, repetitive "microtasks". We study the crowdsourcing…
cs.CL2018
Neural language representations predict outcomes of scientific research
James P. Bagrow, Daniel Berenberg, Joshua Bongard
Many research fields codify their findings in standard formats, often by reporting correlations between quantities of interest. But the space of all testable correlates is far larg…