Publications

Found 270 results
Author Title Type [ Year(Asc)]
2019
Laubichler, Manfred D.. "August Weismann: Development, Heredity, and Evolution." Isis 110, no. 3 (2019).
Daniels, Bryan C., William S. Ryu, and Ilya Nemenman. "Automated, predictive, and interpretable inference of Caenorhabditis elegans escape dynamics." PNAS 116, no. 7226 (2019).
Laubichler, Manfred D., Jane Maienschein, and Jürgen Renn. "Computational History of Knowledge: Challenges and Opportunities." Isis 110, no. 3 (2019).
Damerow, Julia, Erick Peirson, and Manfred D. Laubichler. "A Computational Research System for the History of Science." Culture and Cognition: Essays in Honor of Peter Damerow 11 (2019).
Casties, Robert, Alexander Czmiel, Julia Damerow, Max Ionov, Albert Meroño Peñuela, Steve Ranford, Catherine Smith, and Malte Vogl. DH Research Software Engineers - For We Are Many., 2019.
Lee, Edward D., Bryan C. Daniels, Christopher R. Myers, David C. Krakauer, and Jessica C. Flack. "Emergent regularities and scaling in armed conflict data." (2019).
Gibson, Abraham, and Cindy Ermus. "The History of Science and the Science of History: Computational Methods, Algorithms, and the Future of the Field." Isis 110, no. 3 (2019).
Damerow, Julia, and Dirk Wintergrün. "The Hitchhiker’s Guide to Data in the History of Science." Isis 110, no. 3 (2019).
Painter, Deryc T., Bryan C. Daniels, and Jürgen Jost. "Innovations are disproportionately likely in the periphery of a scientific network." Theory in Biosciences (2019).
Gibson, Abraham, Manfred D. Laubichler, and Jane Maienschein. "Introduction." Isis 110, no. 3 (2019).
Painter, Deryc T., Bryan C. Daniels, and Jürgen Jost. "Network Analysis for the Digital Humanities: Principles, Problems, Extensions." Isis 110, no. 3 (2019).
Laubichler, Manfred D.. "Political Biology: Science and Social Values in Human Heredity from Eugenics to Epigenetics." Isis 110, no. 3 (2019).
Daniels, Bryan C., and Pawel Romanczuk. "Quantifying the impact of network structure on speed and accuracy in collective decision-making." (2019).
Aiello, Kenneth D., and Michael Simeone. "Triangulation of History Using Textual Data." Isis 110, no. 3 (2019).
2018
Daniels, Bryan C., William S.Ryu, and Ilya Nemenman. Automated, predictive, and interpretable inference of C. elegans escape dynamics., 2018.
Lee, Edward D., and Bryan C. Daniels. Convenient Interface to Inverse Ising (ConIII): A Python package for solving maximum entropy models., 2018.
Daniels, Bryan C., Hyunju Kim, Douglas Moore, Siyu Zhou, Harrison B. Smith, Bradley Karas, Stuart A. Kauffman, and Sara I. Walker. "Criticality Distinguishes the Ensemble of Biological Regulatory Networks." Phys. Rev. Lett. 121, no. 13 (2018).
Zou, Yawen, and Manfred Laubichler. "From systems to biology: A computational analysis of the research articles on systems biology from 1992 to 2013." PLOS ONE 13, no. 7 (2018).
Arehart, Emerson, Tangxin Jin, and Bryan C. Daniels. "Locating decision-making circuits in a heterogeneous neural network." Frontiers in Applied Mathematics and Statistics 4 (2018).
Daniels, Bryan C., Dirk Fey, Maciej Dobrzyński, B. Munsky, W. Hlavacek, and L. Tsimring. "Parameter Estimation, Sloppiness, and Model Identifiability." In In Quantitative Biology: Theory, Computational Methods, and Models. MIT Press, 2018.
Borriello, Enrico, Sara Walker, and Manfred Laubichler. "A unified, mechanistic framework for developmental and evolutionary change." (2018).
2017
Lee, Edward D., Bryan C. Daniels, David C. Krakauer, and Jessica C. Flack. "Collective memory in macaque conflict implied by temporal scaling collapse." Journal of the Royal Society Interface 14 (2017).
Daniels, Bryan C., David C. Krakauer, and Jessica C. Flack. "Control of finite critical behaviour in a small-scale social system." Nature Communications 8 (2017).
Peirson, B. R. Erick, Heather Kropp, Julia Damerow, and Manfred D. Laubichler. "The diversity of experimental organisms in biomedical research may be influenced by biomedical funding." BioEssays 39 (2017): 1600258–n/a.
Daniels, Bryan C., Jessica C. Flack, and David C. Krakauer. "Dual Coding Theory Explains Biphasic Collective Computation in Neural Decision-Making." Frontiers in Neuroscience 11 (2017): 313.

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