Ale Salgado

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Ale Salgado

Ale Salgado

@tiempoasm

Blending brain and behavior science with tech innovation. Startups, social impact, photography, cooking, books. PhD Oxford Psych

COL, PE, EC, MX, USA, UK Katılım Ocak 2010
1.7K Takip Edilen1.6K Takipçiler
Ale Salgado
Ale Salgado@tiempoasm·
@Bogota @MetroBogota @TransMilenio Comentarios de la gente condicionando la decencia y la cultura a la calidad del servicio. Uno es decente sin importar la compañía o el lugar.
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Alcaldía de Bogotá
Alcaldía de Bogotá@Bogota·
La verdadera transformación no está en el @MetroBogota ni en @TransMilenio. Está en nosotros y en nuestra cultura ciudadana: en respetar los espacios, en pensar en los demás y en entender que la ciudad es de todas y todos. La movilidad también se construye con cultura
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Hannah Kim
Hannah Kim@thisishannahkim·
Oh, to have both a PhD and common sense
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Jorge Alvarado
Jorge Alvarado@joan_alva·
@velascop @tiempoasm I also feel it. I believe sometimes is somewhat disguised in cultural nuances. Mainstream academia implicitly dislike these differences and feel they are lack of capacity. Important as subjects of experimentation, not as source of experimental ideas.
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Ale Salgado
Ale Salgado@tiempoasm·
@velascop Definitely worth discussing, I agree I've felt it too and also wondered whether it's all in my head, but too many people are having the same feeling...
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Carlos Velasco
Carlos Velasco@velascop·
Xenophobia in academia is tough to discuss—it's often subtle and hard to prove. As a Colombian abroad, I’ve experienced it (or at least it feels that way), and many colleagues have too. Without clear evidence, no action is usually taken, leaving the issue unaddressed.
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Ale Salgado
Ale Salgado@tiempoasm·
@freddier Más allá de la transición pacífica, con la que concuerdo, necesitamos proteger la estabilidad institucional. Esta es más importante que el plan de gobierno de cualquier candidato. Esto es lo que reduce muertes violentas, corrupción y mejora inversión y eficiencia estatal
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Freddy Vega
Freddy Vega@freddier·
La lección dura para toda América Latina es evitar, a toda costa, en nuestros países, cualquier cosa que degrade la transición pacífica y democrática del poder.
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Ale Salgado
Ale Salgado@tiempoasm·
Thanks for the mention of our paper The organization of semantic associations between senses in language
OOIR@ObserveIR

Trending in #Linguistics: ooir.org/index.php?fiel… 1) Language processing following childhood poverty: Evidence for disrupted neural networks 2) Geographic structure of Chinese dialects (@LinguisticsJ) 3) The organization of semantic associations between senses in language 4) A user-friendly corpus tool for disciplinary data-driven learning (@IJCL_journal) 5) Corpus linguistics and the social sciences

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Carlos Velasco
Carlos Velasco@velascop·
Our paper "The organization of semantic associations between senses in language", with @joan_alva & @tiempoasm, just got accepted in Language & Cognition, after fantastic, and super constructive, editorial and reviewing processes!
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RnD Ventures (Prev RnDAO)
RnD Ventures (Prev RnDAO)@RnDAO__·
Is your venture looking for funding? Our ArbitrumDAO Co.Lab entrepreneurship program is looking to fuel a promising collaboration tech venture with 50k ARB tokens and $100k’s worth of hands-on network support. Apply here: bit.ly/3Sp6ZD0 What's involved? 🧵👇
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Olivia Guest · Ολίβια Γκεστ
I'm receiving so many emails and some are lovely by lovely people but I have ADHD and it feels like I'm drowning and letting them down but also STOP WITH THE EMAILS just show up and give me nice monolgues in person (OK I'm basically joking but also I wish others would just 1/
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Olivia Guest · Ολίβια Γκεστ
come and vibe in person but I know that's not realistic but also I live in the Netherlands where socialising is so deskilled me just being nice for a femptosecond is perceived as "Olivia is the nicest person to ever breathe and has restored my faith in humanity" meanwhile in 2/
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Greta Karen Wood
Greta Karen Wood@gkwood3·
Do cognitive deficits persist after COVID-19 and, if so, what is their biological basis? Our NEW pre-print under review in @NaturePortfolio dx.doi.org/10.21203/rs.3.… We report one-year cognitive, serum biomarker, and neuroimaging findings in 351 patients A thread 1/n
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Secretaría Distrital de Salud
Secretaría Distrital de Salud@SectorSalud·
📢@SectorSalud reitera el llamado a la ciudadanía para mantener medidas de autocuidado y prevención ante la circulación de la nueva variante de covid-19: JN.1 Aquí los detalles de ocupación UCI y casos activos en @Bogota.⬇️
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Matt Dancho (Business Science)
Boxplots are one of the most useful tools in my Data Science arsenal. In 6 minutes, I'll teach you 6 years of using box plots for EDA and problem-solving. Let's dive in. 1. What is a boxplot? A boxplot is a standardized way of displaying the distribution of data based on a five-number summary: minimum, first quartile (Q1), median, third quartile (Q3), and maximum. 2. Invention: The boxplot was invented in 1969 by John Tukey, as part of his pioneering work in data visualization. Tukey's EDA emphasized the importance of using simple graphical and numerical methods to start understanding the data before making any assumptions about its underlying distribution or applying complex statistical models. The boxplot emerged from this philosophy. Tukey's boxplot was designed to be a quick and easy way to visualize the distribution of data. 3. Usage: I use boxplots during the exploratory phase. First, I assess correlations to an outcome I am interested in. Then I explore the top features during Exploratory Data Analysis (EDA). Boxplots are heavily used in my EDA. 4. Key Features of Boxplots: In one quick visualization, boxplots display distribution summary, outliers, skewness, and it facilitates comparisons between multiple groups or categories. 5. The Box: The box spans from the first quartile (Q1) to the third quartile (Q3). This range, known as the interquartile range (IQR), contains the middle 50% of the data. The line inside the box represents the median (the second quartile, Q2), which divides the dataset into two equal halves. 6. The Whiskers: The whiskers extend from the box to show the range of the data. A common approach is to extend them to the smallest and largest values within 1.5 times the IQR from the first and third quartiles, respectively. Data points outside this range are considered outliers and are sometimes plotted as individual points. 7. Outliers: These are data points that lie beyond the end of the whiskers. They are not part of the bulk of the data and may indicate variability in the data, experimental errors, or novel findings. Explore these! 8. Skewness: If the median is not equidistant from Q1 and Q3, or if the whiskers are of unequal lengths, it suggests that the data is skewed. 9. Key Issues: One issue I run into commonly is multimodal distributions (these are distributions with multiple "humps" like a camel's back). These usually indicate a group-wise pattern, which needs to be explored by group. === Ready to learn Data Science for Business? I put together a free on-demand workshop that covers the 10 skills that helped me make the transition to Data Scientist: learn.business-science.io/free-rtrack-ma… And if you'd like to speed it up, I have a live workshop where I'll share how to use ChatGPT for Data Science: learn.business-science.io/registration-c… If you like this post, please reshare ♻️ it so others can get value.
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Olivia Guest · Ολίβια Γκεστ
I'm incredibly humbled and thankful. I laughed and cried, probably mostly cried, when I first knew; incredibly overwhelmed; feeling very loved. Thank you to my students, and my colleagues who supported me. 💞
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Hannah Kim
Hannah Kim@thisishannahkim·
For this issue, I wrote "Life as a Non-Standard Narrative" where I argue that thinking of our lives as a story often involves making unjust assumptions about what kinds of story form, and therefore what kinds of lives, are 'satisfying' or 'universal'.
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