activity
20152026
most citedThe Wisdom of Polarized Crowds

132 citations · 348 across the 17 of their papers we have counts for

collaborators

17 papers

physics.soc-ph2026

The unintended consequences of large language models as a labor-augmenting technology in science

Eamon Duede, Kevin Gross, M. J. Crockett +1

As a labor-augmenting technology, large language models (LLMs) have the potential to accelerate scientific activity across the research pipeline. But even if LLMs perform on par wi…

cs.CL2025

Critical Confabulation: Can LLMs Hallucinate for Social Good?

Peiqi Sui, Eamon Duede, Hoyt Long +1

LLMs hallucinate, yet some confabulations can have social affordances if carefully bounded. We propose critical confabulation (inspired by critical fabulation from literary and soc…

cs.AI2025

AI and the Decentering of Disciplinary Creativity

Eamon Duede

This paper examines the role of artificial intelligence in scientific problem-solving, with a focus on its implications for disciplinary creativity. Drawing on recent work in the p…

cs.CL2024★ 11 cited

Confabulation: The Surprising Value of Large Language Model Hallucinations

Peiqi Sui, Eamon Duede, Sophie Wu +1

This paper presents a systematic defense of large language model (LLM) hallucinations or 'confabulations' as a potential resource instead of a categorically negative pitfall. The s…

physics.soc-ph2024

The Paradox of Collective Certainty in Science

Eamon Duede, James Evans

We explore a paradox of collective action and certainty in science wherein the more scientists research together, the less that work contributes to the value of their collective ce…

cs.DL2024★ 11 cited

Oil & Water? Diffusion of AI Within and Across Scientific Fields

Eamon Duede, William Dolan, André Bauer +2

This study empirically investigates claims of the increasing ubiquity of artificial intelligence (AI) within roughly 80 million research publications across 20 diverse scientific f…

cs.AI2023★ 1 cited

The Representational Status of Deep Learning Models

Eamon Duede

This paper aims to clarify the representational status of Deep Learning Models (DLMs). While commonly referred to as 'representations', what this entails is ambiguous due to a conf…

cs.AI2022★ 47 cited

Deep Learning Opacity in Scientific Discovery

Eamon Duede

Philosophers have recently focused on critical, epistemological challenges that arise from the opacity of deep neural networks. One might conclude from this literature that doing g…

cs.CL2022★ 11 cited

The Diminishing Returns of Masked Language Models to Science

Zhi Hong, Aswathy Ajith, Gregory Pauloski +3

Transformer-based masked language models such as BERT, trained on general corpora, have shown impressive performance on downstream tasks. It has also been demonstrated that the dow…

physics.soc-ph2021

The Social Abduction of Science

Eamon Duede, James Evans

The logic of abduction involves a collision between deduction and induction, where empirical surprises violate expectations and scientists innovate to resolve them. Here we reformu…

cs.DL2021★ 14 cited

Being Together in Place as a Catalyst for Scientific Advance

Eamon Duede, Misha Teplitskiy, Karim Lakhani +1

The COVID-19 pandemic necessitated social distancing at every level of society, including universities and research institutes, raising essential questions concerning the continuin…

cs.SI2020★ 5 cited

Status drives how we cite: Evidence from thousands of authors

Misha Teplitskiy, Eamon Duede, Michael Menietti +1

Researchers cite works for a variety of reasons, including some having nothing to do with acknowledging influence. The distribution of different citation types in the literature, a…

cs.SI2017★ 132 cited

The Wisdom of Polarized Crowds

Feng Shi, Misha Teplitskiy, Eamon Duede +1

As political polarization in the United States continues to rise, the question of whether polarized individuals can fruitfully cooperate becomes pressing. Although diversity of ind…

cs.DC2017

Enabling Interactive Analytics of Secure Data using Cloud Kotta

Yadu N. Babuji, Kyle Chard, Eamon Duede

Research, especially in the social sciences and humanities, is increasingly reliant on the application of data science methods to analyze large amounts of (often private) data. Sec…

cs.DC2016★ 5 cited

A Secure Data Enclave and Analytics Platform for Social Scientists

Yadu N. Babuji, Kyle Chard, Aaron Gerow +1

Data-driven research is increasingly ubiquitous and data itself is a defining asset for researchers, particularly in the computational social sciences and humanities. Entire career…

q-fin.GN2016

Convergence of Economic Growth and the Great Recession as Seen From a Celestial Observatory

Eamon Duede, Victor Zhorin

Macroeconomic theories of growth and wealth distribution have an outsized influence on national and international social and economic policies. Yet, due to a relative lack of relia…

cs.DL2015★ 111 cited

Amplifying the Impact of Open Access: Wikipedia and the Diffusion of Science

Misha Teplitskiy, Grace Lu, Eamon Duede

With the rise of Wikipedia as a first-stop source for scientific knowledge, it is important to compare its representation of that knowledge to that of the academic literature. Here…