The risk of this strategy to the ecosystem is that it makes previously attractive categories no longer viable. Commoditizing the complement does not demand a best-in-class replacement.
大多数人认为市场竞争会推动产品持续创新和改进，但作者认为免费化策略实际上降低了市场对卓越产品的需求，因为'足够好'的免费产品就能改变市场动态。这一观点挑战了传统创新经济学理论，暗示市场可能因免费化而停滞。
The risk of this strategy to the ecosystem is that it makes previously attractive categories no longer viable.
大多数人认为免费产品会促进市场竞争和创新，但作者指出这种策略实际上会摧毁某些市场类别，使其不再具有商业可行性，这挑战了传统经济学中关于竞争促进创新的认知。
A free, good-enough product is enough to change market dynamics.
大多数人认为市场竞争需要最佳产品才能获胜，但作者认为在AI时代，一个足够好的免费产品就足以颠覆市场。这与传统产品竞争观念相悖，暗示质量优势可能不如免费模式重要。
The risk of this strategy to the ecosystem is that it makes previously attractive categories no longer viable. Commoditizing the complement does not demand a best-in-class replacement.
大多数人认为市场竞争总是促进产品质量提升和创新，但作者认为谷歌和Anthropic的免费化策略实际上可能扼杀某些行业的创新动力，因为'足够好'的免费产品就足以改变市场动态，这与传统经济学中的竞争理论相悖。
WordPress wasn't the best-designed CMS — Drupal was. It wasn't the most performant or reliable either. But that didn't stop WordPress from becoming the de-facto standard for building websites and the largest ecosystem — all because it was the easiest to use.
这一陈述揭示了技术选择中的一个反直觉原则：易用性往往比技术优越性更能决定产品的市场成功。这一观点挑战了技术社区中'最佳技术应该获胜'的假设，暗示在AI代理领域，最易用的工具可能最终胜过技术上更优越但更复杂的解决方案。
Riemannian Langevin lifecycle: active → warm → archive → forget. Tiered storage with automatic promotion on access.
将黎曼流形和朗之万动力学应用于记忆生命周期管理是一个极具创新性的概念。这种将物理数学概念应用于记忆管理的做法挑战了传统记忆系统的静态存储观念，提出了一种动态、自适应的记忆衰减和激活机制，更接近生物记忆的工作方式。
This imbalance will inevitably drive prices higher as demand compounds against a fixed supply.
作者预测AI计算资源将呈现典型的稀缺商品特性，需求增长而供应固定导致价格持续上涨。这一反直觉结论表明，AI行业可能面临与其他资源密集型产业相似的经济学约束，而非例外。
Arbitrageur: Knows pₜ. Sweeps every resting ask below pₜ and every resting bid above pₜ. Infinite capital, never rests orders.
这段描述精确地定义了套利者的行为模式，突显了其完全信息和无限资本的优势。它强调了套利者如何利用过时的报价，以及为什么做市商需要管理报价的时效性以避免被套利。
With ~2 expected jumps per simulation at default intensity, each jump is a significant information shock.
这一观察强调了跳跃事件在模拟中的重要性。它指出即使在默认设置下，跳跃也是显著的信息冲击，而非微小波动。这突显了策略需要能够检测和响应这些离散信息事件的能力。
When models change every 42 days, buyers can't assemble a best-of-breed stack.
这个42天的模型更新周期是一个惊人的事实，揭示了AI技术快速迭代带来的市场困境，迫使企业放弃传统的最佳组合策略，转而寻求更稳定的平台解决方案。
Agents gain credibility by doing. The fastest way to get other people to trust and use your Plus One is to have it execute tasks in public.
「AI 通过公开执行任务获得信任」——这个发现颠覆了传统的工具推广逻辑。通常新工具靠演示或培训推广，但 Montaigne 的案例说明：AI Agent 的最佳「推销方式」是让它当众做到事情。这与人类职场的信任建立机制高度相似——新员工也是通过公开完成任务获得同事信任的。AI 正在复现人类职场的社会动力学，这令人不安又令人着迷。
They can simply deploy month by month until their competitors struggle to raise and get forced to capitulate. At that point they can just ramp down the spending
作者点出了谷歌在AI军备竞赛中的终极必胜策略：它不需要真正花完所有预算，只需通过持续的资本威慑拖死对手。当初创企业因融资困难而被迫退出时，谷歌即可削减开支并收割市场。这种“不战而屈人之兵”的资本博弈逻辑，使得高资本支出最终会转化为市场奖励的低实际支出。
more natural choice. The local and dynamic nature of the transition ap-proach provides an unprecedented view on the open future, on whichfuture truth, contingency, and stability come apart.
munificence
The OED defines "munificence" as: The quality of being munificent; great generosity or liberality in giving.
The word is used for a mysterious Count showing that the Duke is aware that his story may have been off-putting, and he must now save face by praising his new socio-political target. However, to use a word that is antithetical to who the Duke is draws larger parallels between who he associates with, who he pretends to be, and who he really is. The Duke is not giving in the sense that he should be praised, he is giving in the sense that gives people reasons to fear him. By praising this Count's munificence, he can downplay his own lack of it.
I gave commands; Then all smiles stopped together. There she stands As if alive.
The Duke states that he "gave commands" in order for the Duchess to behave--whether this means a death sentence or exile have no difference to the Duke as she is dead to him either way.
However, "Lucrezia suffered from chronic lung-trouble, that her father and her brother Francesco were kept constantly informed with regard to the progress of her last illness" (Friedland 673) which implies Lucrezia succumbed to illness. While the Duke married her as a political advantage, if he were to kill her, he risks a war with her family, the Medicis; once again the Duke must put on a front to exert dominance over his subjects and guests. Whether she died by his hand, or from illness is not the issue the Duke wants attention on, but rather, that he can decide when she dies, and anyone within his court is no different.
She thanked men—good! but thanked Somehow—I know not how—as if she ranked My gift of a nine-hundred-years-old name With anybody’s gift. Who’d stoop to blame This sort of trifling?
Women (and girls) of nobility were meant to show appreciation and be impressed by the immediate men in their lives, such as family, their husbands, and on occasion, men who served them after great acts of duty, such as military feats in war.
The Duke is masking his anger and lack of control over the Duchess--he believes his "nine-hundred-years-old name" should warrant complete control over her, and is offended over the fact that she'd "thank men good," without any explanation over what she would thank them for (not to mention, she is fond of many "trivial" things, not just men, as he lists them before making said statement).
For historical context, the Duchess, Lucrezia is about 13-16 years old depending on when these offenses take place; she has yet to reach emotional, mental, and physical maturity. Without considering the Duchess's age and her lack of experience, he took her behavior as uncouth and as an affront to his dominance. The Duke's reaction lacks emotional maturity as he lets his jealousy be the vessel in how he treats his wife.
Notice Neptune, though, Taming a sea-horse, thought a rarity, Which Claus of Innsbruck cast in bronze for me!
The Duke's final words being about another artpiece he has demonstrates how little he cared for the Duchess. The need to brag about more art being made for him not only shows his ability to display power, but it also shows a reflection of his true intentions. The bronze cast is of Neptune (a god) taming a seahorse--this reflects how the Duke views himself: a god taming a lesser creature; as he sees himself as a god, he will inevitably treat the new duchess similarly. There was never going to be a dual-respect and understanding between him and the Duchess as she was as useful as a seahorse to him. His calculated shift from a painting of his "beloved" wife, to a bronze cast displaying a feat of dominance demonstrates the Duke's ability for social politics and directs attention away from the gruesome end of the Duchess.
My Last
While looking up the Duchess, Lucrezia de' Medici, came a poem called "My Next Duchess" by a priest named Lawrence Jones in which a member of the envoy warns of the Duke as a means to save the next duchess from his grasp. While the poem does not follow all the same writing conventions as Browning's poem such as form and tone, it is effective in the way that provides a secondary perspective on the story within this poem. The break of such conventions lends a sort of response that is more human that the facade that the Duke puts on.
The poem aims to explore how the envoy reacted to the Duke's monologue, and the horror at which is deemed worthy enough to become a cautionary tale to future noblewomen about the Duke of Ferrara.
if she let Herself be lessoned so, nor plainly set 40 Her wits to yours, forsooth, and made excuse— E’en then would be some stooping; and I choose Never to stoop.
To build off the previous annotation, the Duke's mask slips for a second as he admits that he would, in fact, "stoop"--but in doing so, it shows he does not have as much control as he fronts to his envoy. However, the Duke regains said control (and re-masks) through the use of others' fear of what he is capable of by stating that he chose "never to stoop" to the Duchess's level of behavior or intellect.
This point is mentioned by Garratt regarding Browning's writing strategy using "masks" in his poetry, "The envoy is meant to be impressed by this graciousness, this taste, manners, and above all, command of life; the Duke hopes desperately that the envoy will carry that impression back to the count, and to the new duchess” (117). Garratt's point shows that the Duke's intentions in telling this story is so that the next Duchess will not behave the same way as the previous one, and she'll have no excuse as she'd already been warned; he is molding his new duchess through fear.
Will’t please you sit and look at her? I said “Fra Pandolf” by design, for never read Strangers like you that pictured countenance, The depth and passion of its earnest glance, But to myself they turned (since none puts by The curtain I have drawn for you, but I)
The Duke's glee at showing off the painting is an example of the facade of dominance he establishes throughout the poem. Robert F. Garratt's article reinforces this stating, “In fact, there is a safety about the duchess' looks now that they are frozen on canvas, and the Duke can truly enjoy them because he controls the strings to the curtain” (117). By being able to show when she is allowed to "smile" at anyone using drawstrings illustrates that above else, the Duke's need to dominate and impress are more important than the life of another person, regardless of how close they are to him. His insistence that Fra Pandolf has created such a masterpiece "by [his] design" alludes to the notion that the portrait does not actually capture the essence of the Duchess, but rather a version he demanded be created, displaying his need for control.
The tendency to suppress or ignore the inconsistencies that challenge our worldviews is thus universal rather than partisan
for - adjacency - scientific paradigm shift - confirmation bias - universal behavior - liberal / conservative dynamics - progress
adjacency - scientific paradigm shift - confirmation bias - universal behavior - liberal / conservative dynamics - progress - It is a natural for humans to be both conservative and liberal - If we weren't liberal, there would be no progress - At the same time, we recognize the value of existing traditions - they worked and helped us to survive - Confirmation bias is conservative - why tamper with something that isn't broke? - Yet novelty is a behavior that even the staunchest conservative displays - It is nonsensible to think we have only one but not the other aspect, we have both
Pitirim Sorokin in his masterwork , “Social and Cultural Dynamics
for - book - Social and Cultural Dynamics - Pitirim Sorokin , societal transition - value transition
outside; they flow into each other. 274 Let’s use the Kleinian internal-externalrelationship as an explicit metaphor (model) for the concepts of internalizationand externalization of costs. Internalized costs are those borne by a company
for - example - Kleinian dynamics - economics - externalize costs
The old form must bedestroyed (to a greater or lesser extent in different circumstances) to allow for
for - eating - life - death - incorporation of the other - example - kleinian dynamics - eating - life sustaining - coexists with - life taking - life = death - you must die so that I may live - When I eat you or you eat me, - You transform what was once a part of my body into your body, taking from me what you need, and getting rid of the rest - So in essence, we destroy others so that part of them can become part of us and vice versa
A lot of today’s Protestant theology holds men responsible for anything that happens in the home, even the things his wife or children do, so this is in line with various teachings.
No wonder Protestant theology is so damaging...
he's just dodging all the responsibility on all fronts, even when his religion holds that the "man should be in charge."
The great koan collection, Mumonkan, means The Gateless Gate. Gateless Gate means you can enter the Way anywhere, even here, even now, even like this. The great dualism in our lives as lay people is to imagine this divide between us and the real thing, to feel that the gate is a monastery gate, the gate right here.
for - Zen - meaning of the Mumonkan koan collection - the Gateless Gate - anyone can enter the Way anywhere - even here and now - Barry Magid - adjacency - Mumonkan - Deep Humanity - generalized Gateless Gate for all cultures ensnared by the - polycrisis - spiral dynamics
adjacency - between - Zen Mumonkan Koan collection - generalized Gateless Gate - Deep Humanity - Spiral Dynamics - polycrisis - adjacency relationship - Spiral dynamics - revisiting Mumonkan koans many decades later, I can see how my aspirations with Deep Humanity has been connected to the Gateless Gate - I've always conceived of open source praxis of Deep Humanity as a kind of Gateless Gate, - In this way, it has its roots in it - Mumonkan had to evolve for the context of the polycrisis, which touches EVERY culture so - the culture of one particular esoteric spiritual path would be frowned upon by many other established traditions - In this case, having a generalized Gateless Gate is necessary to address the polycrisis so that everyone is included - Deep Humanity is best seen as the Gateless Gate for any human INTERbeCOMing, anywhere and anyone can enter the way that defines our species
lib-lab dynamic
for - further research - Karl Polyani - book - The Great Transformation - Lib-Lab dynamics - Kondratieff waves - cycles of political economy - from Michel Bauwens - lib-lab dynamics - Kondratiefff waves - Kondratieff cycles
what is the nature of the invitation.
for - group dynamics of expanding and converging groups
group dynamics of expanding and converging groups - It is natural for groups to expand and grow and when they do, it changes the dynamics of the social interactions - Effort is required to know each other. It requires time to share and absorb what is shared - That legacy knowledge becomes the unspoken and implicit ground for future discourse - When new people are introduced to a group, or new groups are introduced to each other, - a minimum amount of sharing is required to establish common ground, common understanding - When members of a group have unique ideas to share, - a standardized, shareable documentation may become necessary for greater efficacy of sharing - the constitutions that are often at the heart of institutions became necessary for the same reasons
for - Indyweb dev - large language model for - constructing causal loop diagrams - System Dynamics Bot - large language model - constructing causal loop diagrams
I don’t want to just have a voice — I want my voice to have value and impact.
From green to Yellow SD
The system behaviour emerges only in the dynamics of the interactions of the parts. This is not a cumulative linear effect but rather a cyclical causal effect
MDA, a theory of how game design works. MDA is a theory about the emergent nature of game play. It says when you combine game MECHANICS (shoot something, collect coins, jump over something, open a locked door, etc) the combination becomes DYNAMICS (sidescroller, boss battle, etc) which then is experienced by a player as a type of fun, or AESTHETICS (Fellowship, Challenge, Fantasy etc.
Mechanics, dynamics and aesthetics
Aktueller Überblick zu Emissionen und Landnutzung in Österreich die Emissionen durch die Landwirtschaft nehmen schon länger ab, während Wälder in Österreich zunehmend als CO2 senken fungieren. Wichtigste Ursache für die Emissionen ist nach wie vor die Viehhaltung. Https://www.derstandard.at/story/3000000200378/wie-die-landnutzung-helfen-kann-das-klima-zu-schuetzen
Glossary of some important musical terms
08:00 his sword technique was adaptable, mendable, consistent with the complex nature of reality, that changes constantly, not resisting change but adapting self to it
Spiral Dynamics (SD) is a model of the evolutionary development of individuals, organizations, and societies. It was initially developed by Don Edward Beck and Christopher Cowan based on the emergent cyclical theory of Clare W. Graves, combined with memetics as proposed by Richard Dawkins and further developed by Mihaly Csikszentmihalyi.
https://en.wikipedia.org/wiki/Spiral_Dynamics
related to ideas I've had with respect to Werner R. Loewenstein?
Melissa Rivers also announced today the launch of a special edition 4-disc CD box set collection titled “Joan Rivers – The Diva Rides Again” that will feature five hours of never-before-released recordings of Joan’s comedy, including six decades worth of hilarious material and a special 16-page collector’s book of liner notes with never-before-seen photos. The box set is currently available for preorder on Amazon, Target.com and Walmart.com and will be released on August 18, 2023 on streaming platforms such as iTunes and Spotify. The set is produced and distributed by Comedy Dynamics in partnership with the Joan Rivers estate.
22:30 Differing environments/context matters. So before giving tricks, hacks, etc. realise that you function within a different environment.
Historicity is a historical sibling to this: periods have different environments, and thus don't apply 1 on 1.
But we can still learn from other other people & periods?
AsSchullerpointsout:“Thereisnoquestioninmymindthat theclassicalworldcanlearnmuchabout timing.rhythmicaccuracyand subtlety fromjazzmusicians,asjazzmusicianscanindynamics.structureandcontrastfromthe classical musicians.”
As Schuller points out: “There is no question in my mind that the classical world can learn much about timing. rhythmic accuracy and subtlety from jazz musicians, as jazz musicians can in dynamics. structure and contrast from the classical musicians.”
dynam
dynamics as improvisation aid - accenting every 2nd note, for example
Dynamics are yet another aspect of composition over which McNeely exercises deliberate and organized control. Writing for a high level ensemble such as the Vanguard Jazz Orchestra, he is able to demand and receive a great deal of nuance, shape and color. McNeely uses an extraordinarily high number of dynamic markings throughout all his arrangements and in particular here. Undulating hairpin (crescendo followed by immediate decrescendo) shapes are prevalent with each dynamic level marked 14specifically. As a rule, the ensemble exaggerates the dynamic shapes, often in ways that give prominence to the dynamics over and above elements of harmony and melody. In this respect, the dynamics may sometimes be considered a compositional device of equal importance. This general approach to dynamics as shapes is characteristic of all three of the compositions studied herein.
Daniel Schmachtenberger has spoken at length about the ‘generator functions’ of existential risk, in essence the deeper driving causes.
Definition - generator function of existential risk - the deeper driving cause of existential risk - two examples of deep causes - rivalrous dynamics - complicated systems consuming their complex substrate
Claim - Alexander Beiner claims that - the generator function of these generator functions is physicalism
// Insight Maker is used to model system dynamics and create agent based models by creating causal loop diagrams and allowing users to run simulations on those
Kawakatsu et al. (1) make an important ad-vance in the quest for this kind of understanding, pro-viding a general model for how subtle differences inindividual-level decision-making can lead to hard-to-miss consequences for society as a whole.Their work (1) reveals two distinct regimes—oneegalitarian, one hierarchical—that emerge fromshifts in individual-level judgment. These lead to sta-tistical methods that researchers can use to reverseengineer observed hierarchies, and understand howsignaling systems work when prestige and power arein play.
M. Kawakatsu, P. S. Chodrow, N. Eikmeier, D. B. Larremore, Emergence of hierarchy in networked endorsement dynamics. Proc. Natl. Acad. Sci. U.S.A. 118, e2015188118 (2021)
This may be of interest to Jerry Michalski et al.
one reason the Golden Age of Piracy remains the stuff oflegend is that pirates of that age were so skilled at manipulatinglegends; they deployed wonder-stories—whether of terrifyingviolence or inspiring ideals—as something very much like weaponsof war, even if the war in question was the desperate and ultimatelydoomed struggle of a motley band of outlaws against the entireemerging structure of world authority at the time.
https://blog.mahabali.me/pedagogy/pedagogical-snacking-transforming-classroom-dynamics/
Providing a snack break during classes can dramatically improve the participants' participation and cohesion.
Mead (1934) suggests that an individual’s identity is created by the degree to which that person absorbs the values of their community, summarized in the phrase “self reflects society.” Snow (2001) also argues that identity is largely constructed socially and includes, as well as Mead’s sense of belonging, a sense of difference from other communities. Identity is seen as a shared sense of “we-ness” developed through shared attributes and experiences and in contrast to one or more sets of others.
Consider in reference to the faculty/staff divide, to arguments over Faculty Status, to contingency, etc.
Results indicate that between the ages of 20 and75 years, nearly 60 percent of Americans will experience living for at least 1 yearbelow the official poverty line, while three-fourths of Americans will encounterpoverty or near- poverty (150 percent below the official poverty line).4
Mark Rank and Thomas Hirschl's research based on the Panel Study of Income Dynamics (PSID) using risk assessments using life tables show that nearly 60 percent of Americans between 20 and 75 will live for at least 1 year below the poverty line and 75% of Americans will encounter poverty or near-poverty (defined as 150 percent below the official poverty line).
Cross reference:<br /> Mark R. Rank and Thomas A. Hirschl, “The Likelihood of Experiencing Relative Poverty Across the Life Course,” PLoS One 10 (2015): E01333513.
Villanueva, Cynthia, Stevi Ibonie, Emily Jensen, Lucca Eloy, Jordi Quoidbach, Angela Bryan, Sidney D’Mello, and June Gruber. ‘Emotion Differentiation and Bipolar Risk in Emerging Adults Before and During the COVID-19 Pandemic’. PsyArXiv, 19 February 2022. https://doi.org/10.31234/osf.io/xya43.
Dweck shows convincingly thatthe most reliable predictor for long-term success is having a “growthmindset.” To actively seek and welcome feedback, be it positive ornegative, is one of the most important factors for success (andhappiness) in the long run. Conversely, nothing is a bigger hindranceto personal growth than having a “fixed mindset.” Those who fearand avoid feedback because it might damage their cherishedpositive self-image might feel better in the short term, but will quicklyfall behind in actual performance (Dweck 2006; 2013).
Carol Dweck shows that the most reliable predictor for long-term success is what she calls having a "growth mindset" or the ability to take feedback and change.
This seems related to the idea of endergonic reactions and the growth of complexity as well as the idea of the meaning of life.
What do these systems all have in common? What are their differences? What abstractions can we make from them?
Relate this to https://hypothes.is/a/pdWppIX5EeyhR0NR19OjCQ
Yonker, L. M., Boucau, J., Regan, J., Choudhary, M. C., Burns, M. D., Young, N., Farkas, E. J., Davis, J. P., Moschovis, P. P., Bernard Kinane, T., Fasano, A., Neilan, A. M., Li, J. Z., & Barczak, A. K. (2021). Virologic Features of Severe Acute Respiratory Syndrome Coronavirus 2 Infection in Children. The Journal of Infectious Diseases, 224(11), 1821–1829. https://doi.org/10.1093/infdis/jiab509
It’s not just the hyper-social and the flirtatious who have found themselves victims of the New Puritanism. People who are, for lack of a more precise word, difficult have trouble too. They are haughty, impatient, confrontational, or insufficiently interested in people whom they perceive to be less talented. Others are high achievers, who in turn set high standards for their colleagues or students. When those high standards are not met, these people say so, and that doesn’t go over well. Some of them like to push boundaries, especially intellectual boundaries, or to question orthodoxies. When people disagree with them, they argue back with relish.
How much of this can be written down to differing personal contexts and lack of respect for people's humanity? Are the neurodivergent being punished in these spaces?
Applebaum provides a list of potential conflict areas of cancel culture outside of power dynamics.
Once it was not just okay but admirable that Chua and Rubenfeld had law-school students over to their house for gatherings. That moment has passed. So, too, has the time when a student could discuss her personal problems with her professor, or when an employee could gossip with his employer. Conversations between people who have different statuses—employer-employee, professor-student—can now focus only on professional matters, or strictly neutral topics. Anything sexual, even in an academic context—for example, a conversation about the laws of rape—is now risky.
Is it simply the stratification of power and roles that is causing these problems? Is it that some of this has changed and that communication between people of different power levels is the difficulty in these cases?
I have noticed a movement in pedagogy spaces that puts the teacher as a participant rather than as a leader thus erasing the power structures that previously existed. This exists within Cathy Davidson's The New Education where teachers indicate that they're learning as much as their students.
Team syntegrity and democratic group decision making: theory and practice
Stafford Beer created Team Syntegrity as a methodology for social interaction that predisposes participants towards shared agreement among varied and sometimes conflicting interests, without compromising the legitimate claims and integrity of those interests. This paper outlines the methodology and the underlying philosophy, describing several applications in a variety of countries and contexts, indicating why such an approach causes us to re-think more traditional approaches to group decision processes, and relating Team Syntegrity to other systems approaches.
Shared by Kirby Urner in the Trimtab Book Club
Reis, E. F. dos, & Masuda, N. (2021). Metapopulation models imply non-Poissonian statistics of interevent times. ArXiv:2106.10348 [Physics]. http://arxiv.org/abs/2106.10348
Betsch, Cornelia, and Philipp Sprengholz. ‘The Human Factor between Airborne Pollen Concentrations and COVID-19 Disease Dynamics’. PsyArXiv, 16 April 2021. https://doi.org/10.31234/osf.io/hw9gf.
Oreskes, N. (n.d.). Jeffrey Epstein’s Harvard Connections Show How Money Can Distort Research. Scientific American. https://doi.org/10.1038/scientificamerican0920-84
Jacobson, N. C., Price, G., Song, M., Wortzman, Z., Nguyen, N. D., & Klein, R. J. (2020, October 27). Machine Learning Models Predicting Daily Affective Dynamics Via Personality and Psychopathology Traits. https://doi.org/10.31234/osf.io/2zgv6
Dideriksen, C., Christiansen, M. H., Tylén, K., Dingemanse, M., & Fusaroli, R. (2020, October 12). Building common ground: Quantifying the interplay of mechanisms that promote understanding in conversations. https://doi.org/10.31234/osf.io/a5r74
Landry. N., Restrepo. J. G. (2020).The effect of heterogeneity on hypergraph contagion models. Physics and Society. Retrieved from: https://arxiv.org/abs/2006.15453
by attaching acceptor and donor to different domains of a target protein, the interdomain dynamics can be monitored
What’s truly sad (but not shocking) about this whole situation is that this person, James Damore, a Havard educated, seemingly well-intentioned fella, had steadfast beliefs based on his complete misunderstanding of how “sexism” or “discrimination” actually work.And that’s the problem with the way we talk about diversity and inclusion in the business world.People are learning about unconscious bias WITHOUT the foundational knowledge of the cycle of socialization.People are learning about microaggressions WITHOUT the context of power dynamics.People are learning about “diversity programs” WITHOUT true understanding of concepts such as privilege or allyship.
While there are some people with good intents in the [[DEI]] space - it's starting to become apparent that there are some [[foundational concepts]] that we are missing, such as understanding how [[cycle of socialization]] impacts [[unconscious bias]]
or not understanding the role of [[power dynamics]] and [[microaggression]]
Maia, H. P., Ferreira, S. C., & Martins, M. L. (2020). Adaptive network approach for emergence of societal bubbles. ArXiv:2010.08635 [Nlin, Physics:Physics]. http://arxiv.org/abs/2010.08635
COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved October 10, 2020, from https://covid-19.iza.org/publications/dp13569/
Ghavasieh, A., Nicolini, C., & De Domenico, M. (2020). Statistical physics of complex information dynamics. ArXiv:2010.04014 [Cond-Mat, Physics:Physics]. http://arxiv.org/abs/2010.04014
Gaisbauer, F., Olbrich, E., & Banisch, S. (2020). Dynamics of opinion expression. Physical Review E, 102(4), 042303. https://doi.org/10.1103/PhysRevE.102.042303
Burda, Z., Kotwica, M., & Malarz, K. (2020). Ageing of complex networks. Physical Review E, 102(4), 042302. https://doi.org/10.1103/PhysRevE.102.042302
Karatayev, Vadim A., Madhur Anand, and Chris T. Bauch. ‘Local Lockdowns Outperform Global Lockdown on the Far Side of the COVID-19 Epidemic Curve’. Proceedings of the National Academy of Sciences 117, no. 39 (29 September 2020): 24575–80. https://doi.org/10.1073/pnas.2014385117.
Chen, Q., & Porter, M. A. (2020). Epidemic Thresholds of Infectious Diseases on Tie-Decay Networks. ArXiv:2009.12932 [Physics]. http://arxiv.org/abs/2009.12932
James, N., & Menzies, M. (2020). Human and financial cost of COVID-19. ArXiv:2009.11660 [Physics, q-Fin]. http://arxiv.org/abs/2009.11660
Pausal Živference on Twitter. (n.d.). Twitter. Retrieved September 26, 2020, from https://twitter.com/PausalZ/status/1309208611265093632
Saad-Roy, C. M., Wagner, C. E., Baker, R. E., Morris, S. E., Farrar, J., Graham, A. L., Levin, S. A., Mina, M. J., Metcalf, C. J. E., & Grenfell, B. T. (2020). Immune life history, vaccination, and the dynamics of SARS-CoV-2 over the next 5 years. Science. https://doi.org/10.1126/science.abd7343
COVID-19 reports. (n.d.). Imperial College London. Retrieved September 17, 2020, from http://www.imperial.ac.uk/medicine/departments/school-public-health/infectious-disease-epidemiology/mrc-global-infectious-disease-analysis/covid-19/covid-19-reports/
Giles, J. R., Erbach-Schoenberg, E. zu, Tatem, A. J., Gardner, L., Bjørnstad, O. N., Metcalf, C. J. E., & Wesolowski, A. (2020). The duration of travel impacts the spatial dynamics of infectious diseases. Proceedings of the National Academy of Sciences, 117(36), 22572–22579. https://doi.org/10.1073/pnas.1922663117
Kahn, R., Kennedy-Shaffer, L., Grad, Y. H., Robins, J. M., & Lipsitch, M. (n.d.). Potential Biases Arising from Epidemic Dynamics in Observational Seroprotection Studies. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwaa188
aaronpeikert. (2020). Aaronpeikert/reproducible-research [TeX]. https://github.com/aaronpeikert/reproducible-research (Original work published 2019)
Miyoshi, S., Jusup, M., & Holme, P. (2020). Flexible imitation mechanisms suppress epidemics through better vaccination. ArXiv:2009.00443 [Physics, q-Bio]. http://arxiv.org/abs/2009.00443
Carmona, H. A., de Noronha, A. W. T., Moreira, A. A., Araujo, N. A. M., & Andrade Jr, J. S. (2020). Cracking urban mobility. ArXiv:2008.13644 [Cond-Mat, Physics:Physics]. http://arxiv.org/abs/2008.13644
Perez, I. A., Di Muro, M. A., La Rocca, C. E., & Braunstein, L. A. (2020). Disease spreading with social distancing: A prevention strategy in disordered multiplex networks. Physical Review E, 102(2), 022310. https://doi.org/10.1103/PhysRevE.102.022310
Waites, W., Cavaliere, M., Manheim, D., Panovska-Griffiths, J., & Danos, V. (2020). Scaling up epidemiological models with rule-based modelling. ArXiv:2006.12077 [q-Bio]. http://arxiv.org/abs/2006.12077
Dynamics of Social Mobility during the COVID-19 Pandemic in Canada. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 4, 2020, from https://covid-19.iza.org/publications/dp13376/
Moya, C., Cruz y Celis Peniche, P. D., Kline, M. A., & Smaldino, P. (2020). Dynamics of Behavior Change in the COVID World [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/kxajh
Starnini, M., Aleta, A., Tizzoni, M., & Moreno, Y. (2020). Impact of the accuracy of case-based surveillance data on the estimation of time-varying reproduction numbers. MedRxiv, 2020.06.26.20140871. https://doi.org/10.1101/2020.06.26.20140871
Sun, F., Wang, X., Tan, S., Dan, Y., Lu, Y., Zhang, J., Xu, J., Tan, Z., Xiang, X., Zhou, Y., He, W., Wan, X., Zhang, W., Chen, Y., Tan, W., & Deng, G. (2020). SARS-CoV-2 Quasispecies provides insight into its genetic dynamics during infection. BioRxiv, 2020.08.20.258376. https://doi.org/10.1101/2020.08.20.258376
Velásquez-Rojas, F., Ventura, P. C., Connaughton, C., Moreno, Y., Rodrigues, F. A., & Vazquez, F. (2020). Disease and information spreading at different speeds in multiplex networks. Physical Review E, 102(2), 022312. https://doi.org/10.1103/PhysRevE.102.022312
Sun, K., Wang, W., Gao, L., Wang, Y., Luo, K., Ren, L., Zhan, Z., Chen, X., Zhao, S., Huang, Y., Sun, Q., Liu, Z., Litvinova, M., Vespignani, A., Ajelli, M., Viboud, C., & Yu, H. (2020). Transmission heterogeneities, kinetics, and controllability of SARS-CoV-2. MedRxiv, 2020.08.09.20171132. https://doi.org/10.1101/2020.08.09.20171132
Cevik, M., Tate, M., Lloyd, O., Maraolo, A. E., Schafers, J., & Ho, A. (2020). SARS-CoV-2, SARS-CoV-1 and MERS-CoV viral load dynamics, duration of viral shedding and infectiousness: A living systematic review and meta-analysis. MedRxiv, 2020.07.25.20162107. https://doi.org/10.1101/2020.07.25.20162107
Ran, Y., Deng, X., Wang, X., & Jia, T. (2020). A generalized linear threshold model for an improved description of the spreading dynamics. Chaos: An Interdisciplinary Journal of Nonlinear Science, 30(8), 083127. https://doi.org/10.1063/5.0011658
Bisin, A., & Moro, A. (2020). Learning Epidemiology by Doing: The Empirical Implications of a Spatial-SIR Model with Behavioral Responses (Working Paper No. 27590; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27590
Alon, T., Kim, M., Lagakos, D., & VanVuren, M. (2020). How Should Policy Responses to the COVID-19 Pandemic Differ in the Developing World? (Working Paper No. 27273; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27273
Krueger, D., Uhlig, H., & Xie, T. (2020). Macroeconomic Dynamics and Reallocation in an Epidemic (Working Paper No. 27047; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27047
Jinjarak, Y., Ahmed, R., Nair-Desai, S., Xin, W., & Aizenman, J. (2020). Accounting for Global COVID-19 Diffusion Patterns, January-April 2020 (Working Paper No. 27185; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27185
Radicchi, F., & Bianconi, G. (2020). Epidemic plateau in critical SIR dynamics with non-trivial initial conditions. ArXiv:2007.15034 [Cond-Mat, Physics:Physics, q-Bio]. http://arxiv.org/abs/2007.15034
Golding, N., Russell, T. W., Abbott, S., Hellewell, J., Pearson, C. A. B., Zandvoort, K. van, Jarvis, C. I., Gibbs, H., Liu, Y., Eggo, R. M., Edmunds, J. W., & Kucharski, A. J. (2020). Reconstructing the global dynamics of under-ascertained COVID-19 cases and infections. MedRxiv, 2020.07.07.20148460. https://doi.org/10.1101/2020.07.07.20148460
Reher, D. S., Requena, M., de Santis, G., Esteve, A., Bacci, M. L., Padyab, M., & Sandström, G. (2020). The COVID-19 pandemic in an aging world [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/bfvxt
bahri, muhamad. (2020). The nexus impacts of the Covid-19: A qualitative perspective [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/yj8c9
Cazabet, R., Boudebza, S., & Rossetti, G. (2020). Evaluating Community Detection Algorithms for Progressively Evolving Graphs. ArXiv:2007.08635 [Physics]. http://arxiv.org/abs/2007.08635
See how a sneeze can launch germs much farther than 6 feet. (2020, April 17). Science. https://www.nationalgeographic.com/science/2020/04/coronavirus-covid-sneeze-fluid-dynamics-in-photos/
Shafer, K., Milkie, M., & Scheibling, C. (2020). The Division of Labour Before & During the COVID-19 Pandemic in Canada [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/24j87
Dou, Z., Stefanovski, D., Galligan, D., Lindem, M., Rozin, P., Chen, T., & Chao, A. M. (2020). The COVID-19 Pandemic Impacting Household Food Dynamics: A Cross-National Comparison of China and the U.S. [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/64jwy
Schraff, D. (2020). Political trust during the Covid-19 pandemic: Rally around the flag or lockdown effects? [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/pu47c
Sayama, H. (2020). Enhanced ability of information gathering may intensify disagreement among groups. Physical Review E, 102(1), 012303. https://doi.org/10.1103/PhysRevE.102.012303
Flushing “can propel viral infection 3ft into air.” (2020, June 16). BBC News. https://www.bbc.com/news/health-53047819
Coronavirus cases may be linked to brain complications, study finds. (n.d.). Thetowntalk. Retrieved July 5, 2020, from https://www.usatoday.com/story/news/health/2020/06/27/coronavirus-cases-may-linked-brain-complications-study-finds/3270615001/
Althouse, B. M., Wenger, E. A., Miller, J. C., Scarpino, S. V., Allard, A., Hébert-Dufresne, L., & Hu, H. (2020). Stochasticity and heterogeneity in the transmission dynamics of SARS-CoV-2. ArXiv:2005.13689 [Physics, q-Bio]. http://arxiv.org/abs/2005.13689
Mohseni-Kabir, A., Pant, M., Towsley, D., Guha, S., & Swami, A. (2020). Percolation Thresholds for Robust Network Connectivity. ArXiv:2006.14496 [Cond-Mat, Physics:Physics]. http://arxiv.org/abs/2006.14496
Willem, L., Hoang, T. V., Funk, S., Coletti, P., Beutels, P., & Hens, N. (2020). SOCRATES: An online tool leveraging a social contact data sharing initiative to assess mitigation strategies for COVID-19 [Preprint]. Epidemiology. https://doi.org/10.1101/2020.03.03.20030627
Schmidt, A., Brose, A., Kramer, A., Schmiedek, F., Witthöft, M., & Neubauer, A. (2020). Cyclical Across-Day Dynamics of Corona-Related Media Exposure and Worries in People’s Everyday Lives During the COVID-19 Pandemic. https://doi.org/10.31234/osf.io/rea57
Mason Porter on Twitter: “I am here to help. https://t.co/JBQbTAPTQX” / Twitter. (n.d.). Twitter. Retrieved June 17, 2020, from https://twitter.com/masonporter/status/1273054551583555585
Dean, N. E. (2020, June 15). Asymptomatic Transmission? We Just Don’t Know. Medscape. Retrieved June 16, 2020, from http://www.medscape.com/viewarticle/932246
Murphy, C., Laurence, E., & Allard, A. (2020). Deep learning of stochastic contagion dynamics on complex networks. ArXiv:2006.05410 [Cond-Mat, Physics:Physics, Stat]. http://arxiv.org/abs/2006.05410
Balloux, F. (2020, May 22) A thread written by @BallouxFrancois. Threader. https://threader.app/thread/1263745877702737920
Khamsi, R. (2020, March 14). They Say Coronavirus Isn’t Airborne—But It’s Definitely Borne by Air. Wired. https://www.wired.com/story/they-say-coronavirus-isnt-airborne-but-its-definitely-borne-by-air/
Koerth, M. (2020, March 31). Why It’s So Freaking Hard To Make A Good COVID-19 Model. FiveThirtyEight. https://fivethirtyeight.com/features/why-its-so-freaking-hard-to-make-a-good-covid-19-model/
Della Rossa, F., & DeLellis, P. (2020). Stochastic master stability function for noisy complex networks. Physical Review E, 101(5), 052211. https://doi.org/10.1103/PhysRevE.101.052211
Ortiz, E., García-Pérez, G., & Serrano, M. Á. (2020). Geometric detection of hierarchical backbones in real networks. ArXiv:2006.03207 [Physics]. http://arxiv.org/abs/2006.03207
Cheng, H.-Y., Jian, S.-W., Liu, D.-P., Ng, T.-C., Huang, W.-T., Lin, H.-H., & for the Taiwan COVID-19 Outbreak Investigation Team. (2020). Contact Tracing Assessment of COVID-19 Transmission Dynamics in Taiwan and Risk at Different Exposure Periods Before and After Symptom Onset. JAMA Internal Medicine. https://doi.org/10.1001/jamainternmed.2020.2020
Yu, Y. W., Delvenne, J.-C., Yaliraki, S. N., & Barahona, M. (2020). Severability of mesoscale components and local time scales in dynamical networks. ArXiv:2006.02972 [Physics]. http://arxiv.org/abs/2006.02972
Velásquez-Rojas, F., da Silva, P. C. V., Connaughton, C., Moreno, Y., Rodrigues, F. A., & Vazquez, F. (2020). Disease and information spreading at different speeds in multiplex networks. ArXiv:2006.01965 [Physics]. http://arxiv.org/abs/2006.01965
Epidemiologische Abklärung am Beispiel COVID-19. (n.d.). AGES - Österreichische Agentur für Gesundheit und Ernährungssicherheit. https://www.ages.at/service/service-presse/pressemeldungen/epidemiologische-abklaerung-am-beispiel-covid-19/
Iacopini, I. (2020, June 3). Networks beyond pairwise interactions: Structure and dynamics. Iacopo Iacopini. https://iaciac.github.io/post/beyond/
Zhang, J., Litvinova, M., Liang, Y., Wang, Y., Wang, W., Zhao, S., Wu, Q., Merler, S., Viboud, C., Vespignani, A., Ajelli, M., & Yu, H. (2020). Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China. Science, eabb8001. https://doi.org/10.1126/science.abb8001
Eroglu, D. (2020). Revealing Dynamics, Communities, and Criticality from Data. Physical Review X, 10(2). https://doi.org/10.1103/PhysRevX.10.021047
Golino, H., Christensen, A. P., Moulder, R. G., Kim, S., & Boker, S. M. (2020, April 14). Modeling latent topics in social media using Dynamic Exploratory Graph Analysis: The case of the right-wing and left-wing trolls in the 2016 US elections. https://doi.org/10.31234/osf.io/tfs7c
Rybniker, J., & Fätkenheuer, G. (2020). Importance of precise data on SARS-CoV-2 transmission dynamics control. The Lancet Infectious Diseases, S1473309920303595. https://doi.org/10.1016/S1473-3099(20)30359-5
Liu, Y., Eggo, R. M., & Kucharski, A. J. (2020). Secondary attack rate and superspreading events for SARS-CoV-2. The Lancet, 395(10227), e47. https://doi.org/10.1016/S0140-6736(20)30462-1
Endo, A., Centre for the Mathematical Modelling of Infectious Diseases COVID-19 Working Group, Abbott, S., Kucharski, A. J., & Funk, S. (2020). Estimating the overdispersion in COVID-19 transmission using outbreak sizes outside China. Wellcome Open Research, 5, 67. https://doi.org/10.12688/wellcomeopenres.15842.1
Cobey, S. (2020). Modeling infectious disease dynamics. Science, 368(6492), 713–714. https://doi.org/10.1126/science.abb5659
Stadnytskyi, V., Bax, C. E., Bax, A., & Anfinrud, P. (2020). The airborne lifetime of small speech droplets and their potential importance in SARS-CoV-2 transmission. Proceedings of the National Academy of Sciences, 202006874. https://doi.org/10.1073/pnas.2006874117
Pichler, Anton, Marco Pangallo, R. Maria del Rio-Chanona, François Lafond, and J. Doyne Farmer. “Production Networks and Epidemic Spreading: How to Restart the UK Economy?” ArXiv:2005.10585 [Physics, q-Fin], May 21, 2020. http://arxiv.org/abs/2005.10585.
Johnson, N.F., Velásquez, N., Restrepo, N.J. et al. The online competition between pro- and anti-vaccination views. Nature (2020). https://doi.org/10.1038/s41586-020-2281-1
Masuda, N., & Holme, P. (2020). Small inter-event times govern epidemic spreading on networks. Physical Review Research, 2(2), 023163. https://doi.org/10.1103/PhysRevResearch.2.023163
Edelmann, A., Wolff, T., Montagne, D., & Bail, C. A. (2020). Computational Social Science and Sociology. Annual Review of Sociology, 46(1), annurev-soc-121919-054621. https://doi.org/10.1146/annurev-soc-121919-054621
Tuninetti, M., Aleta, A., Paolotti, D., Moreno, Y., & Starnini, M. (2020). Prediction of scientific collaborations through multiplex interaction networks. ArXiv:2005.04432 [Physics]. http://arxiv.org/abs/2005.04432
The Santa Fe Institute - SFI Transmission PDF
Buitrago-Garcia, D. C., Egli-Gany, D., Counotte, M. J., Hossmann, S., Imeri, H., Salanti, G., & Low, N. (2020). The role of asymptomatic SARS-CoV-2 infections: Rapid living systematic review and meta-analysis [Preprint]. Epidemiology. https://doi.org/10.1101/2020.04.25.20079103
Arons, M. M., Hatfield, K. M., Reddy, S. C., Kimball, A., James, A., Jacobs, J. R., Taylor, J., Spicer, K., Bardossy, A. C., Oakley, L. P., Tanwar, S., Dyal, J. W., Harney, J., Chisty, Z., Bell, J. M., Methner, M., Paul, P., Carlson, C. M., McLaughlin, H. P., … Jernigan, J. A. (2020). Presymptomatic SARS-CoV-2 Infections and Transmission in a Skilled Nursing Facility. New England Journal of Medicine, NEJMoa2008457. https://doi.org/10.1056/NEJMoa2008457
Ghinai, I., Woods, S., Ritger, K. A., McPherson, T. D., Black, S. R., Sparrow, L., Fricchione, M. J., Kerins, J. L., Pacilli, M., Ruestow, P. S., Arwady, M. A., Beavers, S. F., Payne, D. C., Kirking, H. L., & Layden, J. E. (2020). Community Transmission of SARS-CoV-2 at Two Family Gatherings—Chicago, Illinois, February–March 2020. MMWR. Morbidity and Mortality Weekly Report, 69(15), 446–450. https://doi.org/10.15585/mmwr.mm6915e1
Yong, S. E. F., Anderson, D. E., Wei, W. E., Pang, J., Chia, W. N., Tan, C. W., Teoh, Y. L., Rajendram, P., Toh, M. P. H. S., Poh, C., Koh, V. T. J., Lum, J., Suhaimi, N.-A. M., Chia, P. Y., Chen, M. I.-C., Vasoo, S., Ong, B., Leo, Y. S., Wang, L., & Lee, V. J. M. (2020). Connecting clusters of COVID-19: An epidemiological and serological investigation. The Lancet Infectious Diseases, S1473309920302735. https://doi.org/10.1016/S1473-3099(20)30273-5
Zhu, Y., Bloxham, C. J., Hulme, K. D., Sinclair, J. E., Tong, Z. W. M., Steele, L. E., Noye, E. C., Lu, J., Chew, K. Y., Pickering, J., Gilks, C., Bowen, A. C., & Short, K. R. (2020). Children are unlikely to have been the primary source of household SARS-CoV-2 infections [Preprint]. Epidemiology. https://doi.org/10.1101/2020.03.26.20044826
Danis, K., Epaulard, O., Bénet, T., Gaymard, A., Campoy, S., Bothelo-Nevers, E., Bouscambert-Duchamp, M., Spaccaferri, G., Ader, F., Mailles, A., Boudalaa, Z., Tolsma, V., Berra, J., Vaux, S., Forestier, E., Landelle, C., Fougere, E., Thabuis, A., Berthelot, P., … Bag, B. C. (2020). Cluster of coronavirus disease 2019 (Covid-19) in the French Alps, 2020. Clinical Infectious Diseases, ciaa424. https://doi.org/10.1093/cid/ciaa424
Jing, Q.-L., Liu, M.-J., Yuan, J., Zhang, Z.-B., Zhang, A.-R., Dean, N. E., Luo, L., Ma, M.-M., Longini, I., Kenah, E., Lu, Y., Ma, Y., Jalali, N., Fang, L.-Q., Yang, Z.-C., & Yang, Y. (2020). Household Secondary Attack Rate of COVID-19 and Associated Determinants [Preprint]. Epidemiology. https://doi.org/10.1101/2020.04.11.20056010
Bi, Q., Wu, Y., Mei, S., Ye, C., Zou, X., Zhang, Z., Liu, X., Wei, L., Truelove, S. A., Zhang, T., Gao, W., Cheng, C., Tang, X., Wu, X., Wu, Y., Sun, B., Huang, S., Sun, Y., Zhang, J., … Feng, T. (2020). Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: A retrospective cohort study. The Lancet Infectious Diseases, S1473309920302875. https://doi.org/10.1016/S1473-3099(20)30287-5
Burke RM, Midgley CM, Dratch A, et al. Active Monitoring of Persons Exposed to Patients with Confirmed COVID-19 — United States, January–February 2020. MMWR Morb Mortal Wkly Rep 2020;69:245–246. DOI: http://dx.doi.org/10.15585/mmwr.mm6909e1
Yi, C., Aihong, W., Keqin, D., Haibo, W., Jianmei, W., Hongbo, S., Sijia,W., & Guozhang, X. (2020) The epidemiological characteristics of infection in close contacts of COVID-19 in Ningbo city. Chinese Journal of Epidemiology. Vol. 41 Issue (0):0-0. http://dx.doi.org/10.3760/cma.j.cn112338-20200304-00251
Dr Muge Cevik on Twitter
Contact tracing for COVID-19: Current evidence, options for scale-up and an assessment of resources needed. (2020, May 5). European Centre for Disease Prevention and Control. https://www.ecdc.europa.eu/en/publications-data/contact-tracing-covid-19-evidence-scale-up-assessment-resources
Tomohiro, I. (2020, May 8). Consensus among group members’ shared leadership ratings polarizes group performance. https://doi.org/10.31234/osf.io/psjeu
ecommended choice isgaff2
gaff2 is recommended for organic molecule
Vespignani, A., Tian, H., Dye, C. et al. Modelling COVID-19. Nat Rev Phys (2020). https://doi.org/10.1038/s42254-020-0178-4
ecommended choice isgaff2
gaff2 is recommended for organic compounds
Rivkind, A., Schreier, H., Brenner, N., & Barak, O. (2020). Scale free topology as an effective feedback system. PLOS Computational Biology, 16(5), e1007825. https://doi.org/10.1371/journal.pcbi.1007825
Steinbrook, R. (2020). Contact Tracing, Testing, and Control of COVID-19—Learning From Taiwan. JAMA Internal Medicine. https://doi.org/10.1001/jamainternmed.2020.2072
Inglesby, T. V. (2020). Public Health Measures and the Reproduction Number of SARS-CoV-2. JAMA. https://doi.org/10.1001/jama.2020.7878
Liu, L., Wang, X., Tang, S., & Zheng, Z. (2020). Complex social contagion induces bistability on multiplex networks. ArXiv:2005.00664 [Physics]. http://arxiv.org/abs/2005.00664
Countries are using apps and data networks to keep tabs on the pandemic. (2020 March 26). The Economist. https://www.economist.com/briefing/2020/03/26/countries-are-using-apps-and-data-networks-to-keep-tabs-on-the-pandemic?fsrc=newsletter&utm_campaign=the-economist-today&utm_medium=newsletter&utm_source=salesforce-marketing-cloud&utm_term=2020-05-07&utm_content=article-link-1
This is a good overview of the common potentials of a force field
Martins, A. C. R. (2020). Extremism definitions in opinion dynamics models. ArXiv:2004.14548 [Nlin, Physics:Physics]. http://arxiv.org/abs/2004.14548
Friston, K. J., Parr, T., Zeidman, P., Razi, A., Flandin, G., Daunizeau, J., Hulme, O. J., Billig, A. J., Litvak, V., Moran, R. J., Price, C. J., & Lambert, C. (2020). Dynamic causal modelling of COVID-19. ArXiv:2004.04463 [q-Bio]. http://arxiv.org/abs/2004.04463
Zhang, J. et al. (2020, April 2). Evolving epidemiology and transmission dynamics of coronavirus disease 2019 outside Hubei province, China: a descriptive and modelling study. The Lancet: Infectious Diseases. https://doi.org/10.1016/S1473-3099(20)30230-9.
Segovia-Martín, J., & Tamariz, M. (2020, May 5). Testing early and late connectivity dynamics in the lab: an experiment using 4-agent micro-societies. https://doi.org/10.31234/osf.io/nuf78
Shweta, F., Murugadoss, K., Awasthi, S., Venkatakrishnan, A., Puranik, A., Kang, M., Pickering, B. W., O’Horo, J. C., Bauer, P. R., Razonable, R. R., Vergidis, P., Temesgen, Z., Rizza, S., Mahmood, M., Wilson, W. R., Challener, D., Anand, P., Liebers, M., Doctor, Z., … Badley, A. D. (2020). Augmented Curation of Unstructured Clinical Notes from a Massive EHR System Reveals Specific Phenotypic Signature of Impending COVID-19 Diagnosis [Preprint]. Infectious Diseases (except HIV/AIDS). https://doi.org/10.1101/2020.04.19.20067660
Rotella, A. M., & Mishra, S. (2020, April 24). Personal relative deprivation negatively predicts engagement in group decision-making. https://doi.org/10.31234/osf.io/6d35w
Krönke, J., Wunderling, N., Winkelmann, R., Staal, A., Stumpf, B., Tuinenburg, O. A., & Donges, J. F. (2020). Dynamics of tipping cascades on complex networks. Physical Review E, 101(4), 042311. https://doi.org/10.1103/PhysRevE.101.042311
Leitner, S. (2020, April 18). On the dynamics emerging from pandemics and infodemics. https://doi.org/10.31234/osf.io/nqru6
Han, L., Lin, Z., Tang, M., Zhou, J., Zou, Y., & Guan, S. (2020). Impact of contact preference on social contagions on complex networks. Physical Review E, 101(4), 042308. https://doi.org/10.1103/PhysRevE.101.042308
Garira W (2020) The research and development process for multiscale models of infectious disease systems. PLoS Comput Biol 16(4): e1007734. https://doi.org/10.1371/journal.pcbi.1007734
Xu, S., & Li, Y. (2020). Beware of the second wave of COVID-19. The Lancet, S014067362030845X. https://doi.org/10.1016/S0140-6736(20)30845-X
Government of Canada. (2020). Government of Canada funds 49 additional COVID-19 research projects – Details of the funded projects. Canada.ca. https://www.canada.ca/en/institutes-health-research/news/2020/03/government-of-canada-funds-49-additional-covid-19-research-projects-details-of-the-funded-projects.html
Noorazar, H. (2020). Recent advances in opinion propagation dynamics: A 2020 Survey. ArXiv:2004.05286 [Physics]. http://arxiv.org/abs/2004.05286
Nanni, M., Andrienko, G., Boldrini, C., Bonchi, F., Cattuto, C., Chiaromonte, F., Comandé, G., Conti, M., Coté, M., Dignum, F., Dignum, V., Domingo-Ferrer, J., Giannotti, F., Guidotti, R., Helbing, D., Kertesz, J., Lehmann, S., Lepri, B., Lukowicz, P., … Vespignani, A. (2020). Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. ArXiv:2004.05222 [Cs]. http://arxiv.org/abs/2004.05222
Liao, H., Zhang, L., Marley, G., Tang, W. (2020). Differentiating COVID-19 response strategies. University of North Carolina Project-China. DOI: 10.1016/j.xinn.2020.04.003
Atchison, C. J., Bowman, L., Vrinten, C., Redd, R., Pristera, P., Eaton, J. W., & Ward, H. (2020). Perceptions and behavioural responses of the general public during the COVID-19 pandemic: A cross-sectional survey of UK Adults [Preprint]. Public and Global Health. https://doi.org/10.1101/2020.04.01.20050039
Stavroglou, S. K., Pantelous, A. A., Stanley, H. E., & Zuev, K. M. (2020). Unveiling causal interactions in complex systems. Proceedings of the National Academy of Sciences, 117(14), 7599–7605. https://doi.org/10.1073/pnas.1918269117
MDAnalysis
Time and Dynamics
Internalization of anger can cause heart problems. As the Levenson study above shows, holding in your anger takes a toll on your heart. If you grow up in a household that is intolerant of your anger, ignores your anger, or fails to name, discuss or validate the reasons for your anger, you learn only one way to deal with it: wall it off. This may allow you to cope as a child, but it can harm your heart. Sensitivity to stress can cause back problems or headaches. What makes you sensitive to stress? Not dealing with your feelings. When you wall off your fear, your insecurity, your uncertainty, your anger, sadness, or hurt, those feelings do not go away. They simply pool together on the other side of the wall, waiting for something to touch them off. Then, when it happens, they all surge at you, making you feel overwhelmed and stressed. So going through your life with your feelings blocked makes you more sensitive to stress. Lack of self-awareness makes you vulnerable to poor habits. Families who don’t notice what their child is feeling miss getting to know their child on a deeply personal level. So they sadly remain unaware of who their child really is. I have seen, over decades of treating Childhood Emotional Neglect, that if your parents don’t see you, you do not learn that you are worth looking at. You grow up to be unaware of your own needs, and deep down you don’t realize that your needs even matter. You then are vulnerable to eating or sleeping too much or too little, drinking too much, or engaging in other behaviors that can harm your health. 3 Steps to Stop Childhood Emotional Neglect (CEN) From Harming Your Health Start paying attention to your feelings as you go through your day. Learn more emotion words and make an effort to use them, including naming your own feelings see the book Running On Empty: Overcome Your Childhood Emotional Neglect for an exhaustive list of feeling words). As you do steps 1 and 2 you will start to feel more. Now it is time to begin to actively take charge of your feelings. Work on learning the emotion s
IT should also be stressed that family dysfunction is highly variable and study correlations should never be construed as simple cause and effect. None of it is that simple--especially when it comes to dysfunctional family dynamics.Serious abusers for instance are expert liars (lest outsiders shine light on their true nature), and many come to clinic with stress related complaints about their own childhood experiences. Therapists and other healers must keep that in mind, and not fall to the flattery of 'so-and-so' is so good and helped me so much," while concealing and denying ongoing abuse they may be passing on--some in frank denial--on to their own families and to their own children.
Holographic computing made possible
Microsoft hololens is designed to enable a new dimension of future productivity with the introduction of this self-contained holographic tools. The tool allows for engagement in holograms in the world around you.
Learning environments will gain ground with the implementation of this future tool in the learning program and models.
RATING: 5/5 (rating based upon a score system 1 to 5, 1= lowest 5=highest in terms of content, veracity, easiness of use etc.)
er. Each of these choices reflect power dynamics and conflicting tensions. Desires for ‘presence’ or singular focus often conflict with obligations to be responsive and integrate ‘work’ and ‘life
Are these power dynamics/tensions: actor or agent-based? individual or technical? situational or contextual? deliberate or autonomous?
Microsoft Dynamics CRM Training
Another key area of research has focused on the relationship between individual or group identity and housing
Depending on how many people are involved in the use of an area, the dynamics can change
intra-individual concordance
Are there examples of this kind of data product at scale?
but scientists' understanding of the emergent spatial dynamics at the population level has not kept pace, in large part due to an absence of appropriate tools for data handling and statistical analysis.
Tools gap needs to be filled to improve understanding of emergent spatial dynamics.
A grant is awarded to University of Maryland, College Park to develop informatics tools that allow scientists and conservation managers to use animal relocation and tracking data to study movement processes at the population level.
Movement Dynamics Homepage: http://www.clfs.umd.edu/biology/faganlab/movement/
NSF Advances in Biological Informatics: "Informatics tools for population-level animal movements." with T. Mueller, P. Leimgruber, A. Royle, and J. Calabrese. Thomas Mueller, an Assistant Research Scientist in my lab, leads this project. Also on this grant, postdoc Chris Fleming is investigating theoretical aspects of animal foraging and statistical issues associated with empirical data on animal movements. This project is developing innovative data management and analysis tools that will allow scientists and conservation managers to use animal relocation and tracking data to study movement processes at the population-level, focusing on the interrelationship of multiple moving individuals. We are developing and testing these new tools using datasets on Mongolian gazelles, whooping cranes, and blacktip sharks. More information is available on the Movement Dynamics Homepage.
Movement Dynamics Homepage: http://www.clfs.umd.edu/biology/faganlab/movement/
My project seeks to develop computer models that simulate and link behavioral movement mechanisms which can be either based on memory, perceptual cues or triggered by environmental factors. It explores their efficiency under different scenarios of resource distributions across time and space. Finally it tries to integrate empirical data on resource distributions as well as movements of moving animals, such as satellite data on primary productivity and satellite tracking data of Mongolian gazelles.
http://en.wikioffuture.org/ABI_Innovation:_Informatics_Tools_for_Population-level_Movement_Dynamics