The key to fighting cancer: be flexible
🔗 https://softbites.org/2019/03/20/the-key-to-fighting-cancer-be-flexible/
Original paper: Nanoparticle elasticity directs tumor uptake
🔗 https://softbites.org/2019/03/20/the-key-to-fighting-cancer-be-flexible/
Original paper: Nanoparticle elasticity directs tumor uptake
Genes that can’t express themselves may be hallmarks of cancer.
🔸 http://nautil.us/issue/70/variables/aging-is-a-communication-breakdown
🔸 http://nautil.us/issue/70/variables/aging-is-a-communication-breakdown
Nautilus
Aging Is a Communication Breakdown
Johann Wolfgang von Goethe, the 18th-century poet and philosopher, believed life was hardwired with archetypes, or models, which instructed…
🎞 https://www.youtube.com/watch?v=t99FN2ji310&feature=youtu.be
https://www.cs.auckland.ac.nz/~sare618/
https://www.cs.auckland.ac.nz/~sare618/
YouTube
Taming computational complexity - a talk on signed networks and an optimisation problem
A short talk on signed networks and an NP-hard optimisation problem related to them. Graphics are designed by the lovely and talented Manya Rezapour. Links t...
Dan Larremore and I are hiring a postdoc @ CUBoulder to work on Computational Social Science, the Science of Science, Statistical Inference, and Dynamical Systems. For best consideration, please apply by April 15; position to start in August: https://t.co/MiyCEL3qbY
Interested in scientific research in the field of #ComplexSystems?
IFISC announces 6 SURF@IFISC2019 summer research grants for undergraduates with the aim of introducing student fellows to cutting-edge research. Deadline: 31/03
https://t.co/uCpoTFE1jf
IFISC announces 6 SURF@IFISC2019 summer research grants for undergraduates with the aim of introducing student fellows to cutting-edge research. Deadline: 31/03
https://t.co/uCpoTFE1jf
💶 Thanks to generous support from our sponsors and supporters we are able to offer a limited number of #NetSci_2019 registration waivers to students!
To apply for a waiver please visit the application form listed here
https://t.co/AL3Jn2DjpF @
To apply for a waiver please visit the application form listed here
https://t.co/AL3Jn2DjpF @
The University of Vermont Complex Systems Center
NetSci Registration | The University of Vermont Complex Systems Center
💰 We currently have openings for 2x postdoc and 1x predoc in cancer data science. Come join us to work on projects ranging from cancer evolution, image analysis to molecular epidemiology in millions of individuals. https://t.co/MG14EPxT0o
www.ebi.ac.uk
Fellowship opportunities
EMBL-EBI
💰 2-year postdoc position in cancer data science: Applications open until April 18. See https://t.co/ZLQQgWQCwF for details.
www.embl.de
EMBL Job Opportunities - EMBL
Construction and Analysis of Protein-Protein Interaction Network of Heroin Use Disorder
https://t.co/RSlhdD9JKG
https://t.co/RSlhdD9JKG
💰 3-year postdoc position in ecological networks with @Falk_tw @TheQuadram. Applications open until April 23. See https://t.co/5bJF91udHI for details.
Quadram Institute
Research Scientist (Ecological Networks) - Quadram Institute
Applications are invited for a Research Scientist to join the Laboratory of Dr Falk Hildebrand in the Gut Microbes and Health Programme at Quadram Institute Bioscience (QIB), based in Norwich, UK. Background: The Hildebrand group is working on microbial communities…
🔸 "Higher-Order Interaction Networks: Dynamics, Structure, Data": https://t.co/76FT8cwrpf
Mathematical Institute, University of Oxford, 9–11 Sept 2019
Goal: Bring together researchers from different communities with distinct perspectives on network dynamics
Mathematical Institute, University of Oxford, 9–11 Sept 2019
Goal: Bring together researchers from different communities with distinct perspectives on network dynamics
Conflict and Computation on Wikipedia: A Finite-State Machine Analysis of Editor Interactions
Simon DeDeo
https://www.mdpi.com/1999-5903/8/3/31/htm
Abstract:
What is the boundary between a vigorous argument and a breakdown of relations? What drives a group of individuals across it? Taking Wikipedia as a test case, we use a hidden Markov model to approximate the computational structure and social grammar of more than a decade of cooperation and conflict among its editors. Across a wide range of pages, we discover a bursty war/peace structure where the systems can become trapped, sometimes for months, in a computational subspace associated with significantly higher levels of conflict-tracking “revert” actions. Distinct patterns of behavior characterize the lower-conflict subspace, including tit-for-tat reversion. While a fraction of the transitions between these subspaces are associated with top-down actions taken by administrators, the effects are weak. Surprisingly, we find no statistical signal that transitions are associated with the appearance of particularly anti-social users, and only weak association with significant news events outside the system. These findings are consistent with transitions being driven by decentralized processes with no clear locus of control. Models of belief revision in the presence of a common resource for information-sharing predict the existence of two distinct phases: a disordered high-conflict phase, and a frozen phase with spontaneously-broken symmetry. The bistability we observe empirically may be a consequence of editor turn-over, which drives the system to a critical point between them.
Keywords:
conflict; cooperation; finite-state machine; tit-for-tat; critical transition; hidden Markov model; memory; social norms; knowledge commons; Wikipedia
Simon DeDeo
https://www.mdpi.com/1999-5903/8/3/31/htm
Abstract:
What is the boundary between a vigorous argument and a breakdown of relations? What drives a group of individuals across it? Taking Wikipedia as a test case, we use a hidden Markov model to approximate the computational structure and social grammar of more than a decade of cooperation and conflict among its editors. Across a wide range of pages, we discover a bursty war/peace structure where the systems can become trapped, sometimes for months, in a computational subspace associated with significantly higher levels of conflict-tracking “revert” actions. Distinct patterns of behavior characterize the lower-conflict subspace, including tit-for-tat reversion. While a fraction of the transitions between these subspaces are associated with top-down actions taken by administrators, the effects are weak. Surprisingly, we find no statistical signal that transitions are associated with the appearance of particularly anti-social users, and only weak association with significant news events outside the system. These findings are consistent with transitions being driven by decentralized processes with no clear locus of control. Models of belief revision in the presence of a common resource for information-sharing predict the existence of two distinct phases: a disordered high-conflict phase, and a frozen phase with spontaneously-broken symmetry. The bistability we observe empirically may be a consequence of editor turn-over, which drives the system to a critical point between them.
Keywords:
conflict; cooperation; finite-state machine; tit-for-tat; critical transition; hidden Markov model; memory; social norms; knowledge commons; Wikipedia
MDPI
Conflict and Computation on Wikipedia: A Finite-State Machine Analysis of Editor Interactions
What is the boundary between a vigorous argument and a breakdown of relations? What drives a group of individuals across it? Taking Wikipedia as a test case, we use a hidden Markov model to approximate the computational structure and social grammar of more…
Group Minds and the Case of Wikipedia
Simon DeDeo
https://arxiv.org/pdf/1407.2210
Abstract:
Group-level cognitive states are widely observed in human social systems, but their discussion is often ruled out a priori in quantitative approaches. In this paper, we show how reference to the irreducible mental states and psychological dynamics of a group is necessary to make sense of large scale social phenomena. We introduce the problem of mental boundaries by reference to a classic problem in the evolution of cooperation. We then provide an explicit quantitative example drawn from ongoing work on cooperation and conflict among Wikipedia editors, showing how some, but not all, effects of individual experience persist in the aggregate. We show the limitations of methodological individualism, and the substantial benefits that come from being able to refer to collective intentions, and attributions of cognitive states of the form "what the group believes" and "what the group values".
Simon DeDeo
https://arxiv.org/pdf/1407.2210
Abstract:
Group-level cognitive states are widely observed in human social systems, but their discussion is often ruled out a priori in quantitative approaches. In this paper, we show how reference to the irreducible mental states and psychological dynamics of a group is necessary to make sense of large scale social phenomena. We introduce the problem of mental boundaries by reference to a classic problem in the evolution of cooperation. We then provide an explicit quantitative example drawn from ongoing work on cooperation and conflict among Wikipedia editors, showing how some, but not all, effects of individual experience persist in the aggregate. We show the limitations of methodological individualism, and the substantial benefits that come from being able to refer to collective intentions, and attributions of cognitive states of the form "what the group believes" and "what the group values".
🎞 A series on linear regression (super relevant to ML), I think inspired by the 3b1b one on linear algebra: https://t.co/u6dL5v9jZS
YouTube
Normal Equations & 3d-to-2d transformations | Ch. 3, Linear Regression
In this video, I will visualize the normal equations--the formula for solving linear regression problems. It will guide you through linear transformations fr...