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3,030 Matching Annotations
- Nov 2019
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www.biorxiv.org www.biorxiv.org
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www.biorxiv.org www.biorxiv.org
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www.advocate.com www.advocate.com
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A very different conclusion was reached by a careful meta-analysis of all the available twin data, recently published in a large review that Mayer and McHugh fail to even mention.
Phew.. Dense read. M&M used a dataset that did not measure the traits they're addressing. A larger review of multiple datasets showed different results.
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Of the six studies using proper probability sampling methods that have been published in the peer-reviewed literature in the past 16 years, they include only one — and it just so happens to be the one with the lowest estimate of genetic influence of the entire set.
McHugh & Mayer cherry-picked their data to fit their desired results.
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www.cleveroad.com www.cleveroad.com
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What’s the Difference Between AI, Machine Learning and Data Science?
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www.nobelprize.org www.nobelprize.org
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It seems to me that this failure of the economists to guide policy more successfully is closely connected with their propensity to imitate as closely as possible the procedures of the brilliantly successful physical sciences – an attempt which in our field may lead to outright error. It is an approach which has come to be described as the “scientistic” attitude – an attitude which, as I defined it some thirty years ago, “is decidedly unscientific in the true sense of the word, since it involves a mechanical and uncritical application of habits of thought to fields different from those in which they have been formed.”1
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theinterviewportal.com theinterviewportal.com
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Ina Schuppe Koistinen, Abhishek Krishnagopal, Sangeetha Kadur, Pooja Gupta etc gave me the inspiration to do what I wanted to do. Along the way I got exposed to more art and science creators like Gemma Anderson, Monica Zoppe, Drew Barry, Ina S. Koistinen, Christian Sardet, Sandra Black Culliton, Amanda Phingbodhipakkiya
science communication - art + science
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Quantum Realism: A virtual reality would be subject to virtual time, where each processing cycle is one "tick." Every gamer knows that when the computer is busy the screen lags—game time slows down under load. Likewise, time in our world slows down with speed or near massive bodies, suggesting that it is virtual. So the rocket twin only aged a year because that was all the processing cycles the system busy moving him could spare. What changed was his virtual time.
Thought exercise. Modern "Zen koan".
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www.nature.com www.nature.com
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created a Greek alphabet carefully honed to convey scientific meaning rather than typical Greek-language prose
type design as a means to convey scientific meaning
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Science sorely needs best practices in visual communication as well as in information design, a mature field with quantitative methods.
Visual communication has scientifically proven grounds; it is not just some obscur magic from an artistic genius
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Some assume that an aesthetically appealing presentation signals at best a lack of priorities, and at worst a lack of rigour.
Traditional distinction between form and content
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- Oct 2019
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www.rosemagazine.com www.rosemagazine.com
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diagrams of vining roses like rambling sentence diagrams
Tags
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darwin-online.org.uk darwin-online.org.uk
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interesting images
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www.bpb.de www.bpb.de
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Die Methoden der Ethik beziehungsweise der Philosophie werden daher zuweilen nicht als "wissenschaftlich" anerkannt, da TA insgesamt dazu tendiert, sich an einem naturwissenschaftlich geprägten Wissenschaftlichkeitsideal zu orientieren.[26] Deshalb wird in der TA oft zwischen der "wissenschaftlichen Seite" – Sammlung, Bewertung und Zusammenstellung von Forschungsevidenz – und der "Werteseite" unterschieden.
Überlegen Sie, wie die Technikfolgenabschätzung durch die Perspektive der Science Fiction bereichert werden könnte!
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sostoked.com.au sostoked.com.au
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for many women and purple can induce soothing and calmness with the image of royalty
purple colour
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Colours and emotion
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Both men and women have blue as their top colour
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The colours black & white have opposing meaning in western and eastern cultures
west culture:
- black = finality, death, formality
- white = purity, peace
east culture:
- white = death
- black = wealth, health, prosperity
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Think of each colour in context of its environment, for example do you have a mostly grey, white or muted colours on your website then make your call to action button(s) green or red
There is no universal guide in choosing website colours. Go with your own intuition
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our brain processes visuals 60,000x faster than text
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Colour is such a pervasive part of everything we encounter visually in our world, it evokes emotions which in turn drives decision making
Effect of colour
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When creating or refining your brand identity think about pairing your main colour with a complimentary colour or use the 3 grouping guides below
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We are using colour to communicate the value of our product or service
- Red – Passionate, Aggressive, Important
- Orange – Playful, Energetic, Cheap
- Yellow – Happy, Friendly, Warning
- Green – Natural, Stable, Prosperous
- Blue – Serene, Trustworthy, Inviting
- Violet – Luxurious, Mysterious, Romantic
- Pink – Feminine, Young, Innocent
- Black – Powerful, Sophisticated, Edgy
- Brown – Earthy, Sturdy, Rustic
- Grey – Neutral, Formal, Gloomy
- White – Clean, Virtuous, Healthy
- Beige – Accentuates surrounding colours
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our eyes can only pick up certain light wavelengths
We can only pick up the visible spectrum
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The theory of colour is a discipline that stretches back to at least the 15th century. It encompasses chemistry, physics and mathematics to effectively explain colour
The theory of colour
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There are 2 primary colour systems (to reproduce colour) we use on a daily basis additive & subtractive. Anything that emits light (sun, screen or projector) uses additive and everything else reflects colour and uses subtractive colour
2 primary colour systems:
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The colour wheel is where you need to start when planning a colour scheme or branding for your business and for sales and marketing campaigns. The colour wheel consists of primary, secondary and tertiary colours.
- Primary: can not be made from any other colours
- Secondary: formed by mixing the primary colours
- Tertiary: formed by mixing primary and secondary colours
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round shapes are more trustworthy & straight sharp edges are more striking
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- Sep 2019
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www.weekendavisen.dk www.weekendavisen.dk
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Google Translate translation into English:
Freedom of information. The movement behind Open Science will soften the academic evaluation culture and pull researchers out of the clutches of journals. Interview with one of the movement's front figures, the "detached paleontologist" Jon Tennant.
All data is born free
By RASMUS EGMONT FOSS
More and more researchers are frustrated by the state of science in 2019. Academic journals have too much power over research, they say. Many test results cannot be reproduced. And they are tired of being measured and weighed with a wealth of numbers that quantify the fruits of their labor. In a revolt against the prevailing norms, a growing number of dissatisfied scientists are gathering in these years behind the Open Science movement. People are angry about many things: publishers' profit margins. The time it takes to publish in journals. The way they are evaluated. Open Science is a reaction to all that, a counter-movement that brings together the frustration of a big wave that no one really knows what stands for or where to go, says British Jon Tennant, one of the leading proponents of the movement. Tennant has paused a promising career in paleontology and travels around the world as a "looser" for years to spread the enthusiasm for an open science. In particular, he has been noted as the founder of Open Science MOOC, an online community and educational platform in the field. He is currently visiting the University of Southern Denmark. The broad group of supporters ranges from those who simply want scars to make all academic articles freely available on the web, to those who want to revolutionize the work of researchers. They strive to engage colleagues in every aspect of their work, for example, by exchanging ideas, releasing early data, or the crowdsource editing process. Several organizations and scientists are joining the cause in these years. The movement is particularly characterized by iniciacives such as Plan S, a project to release all government-funded research from 2021, which is, among other things, larger by the European Commission. Also, foundations such as the Gates Foundation have promoted the ideas by forcing all beneficiaries to share their data. Common to followers is that they will bring modern research closer to the real purpose of science, as they see it: to increase the knowledge base of society by working in groups rather than in silos. Several of them have now started pointing fingers at the universities' growing evaluation culture as the main obstacle to achieving that goal. It distorts researchers' motivation and creates an unhealthy environment, they say. The biggest problem today is how scientists are measured and who has control over that evaluation system, Jon Tennant believes. Researchers are to a greater extent measured by how much and how much they publish than what they publish. It gives wrong incentives. At the same time, the evaluation process itself is guided by the commercial interests of a narrow group of publishers who do not always share the researchers' interests. Today, scientists are not in control of systems, and that is a major problem, he elaborates.
JON Tennant and the Open Science movement will do away with what German sociologist Steffen Mau has dubbed “the quantification culture of science. Over the past few decades, many universities have begun to adapt their culture to live up to the rankings and scoring systems that give prestige in the field. In the researchers' everyday life, factors such as circulation rates and h-indices (a measure of a researcher's influence) as well as the impact factors of journals, for example, have gained great importance for their career and reputation among colleagues. The voices behind Open Science want a new model. It must promote quality research and be responsible to the community rather than narrow interests. The first step is to expand access to academic articles. Researchers need to be able to build on everyone's work, and private publishers should not have the power over the product, they say. According to advocates like Jon Tennant, we should also open up the entire scientific process by using the Internet better. The journals must still have a place in the system, but today their old-fashioned model stands in the way of communicating our research effectively. We are not taking advantage of network technology opportunities well enough, he says. From a new idea arises, until the method is developed, data is obtained and the conclusions are available, everyone should be able to follow and propose improvements, the invitation reads. For example, researchers should publish their plans for new projects before they begin collecting data (a so-called pre-registration) and should be encouraged to share their results before the article is published (a micro-publication). But as long as publishers such as Elsevier and Springer Nature have power over researchers' careers, researchers lack the incentive to collaborate openly and inspire each other, Jon Tennant believes. A more open and free process could also solve the reproducibility crisis in science by making studies more transparent. At the same time, it has the potential to prevent large amounts of time wasting, as researchers will be able to see other people's failed projects before starting their own. OPEN Science is part of a larger modern movement, which, according to Israeli historian Yuval Noah Harari, is "the first since 1789 to invent a whole new freedom of value information. There is the idea that data has the right to be free and that humans should not restrict its movements. The mindset is the phloxof behind projects like Wikipedia, Google and Open Source in software programming. Based on that logic, the power must lie with the community and not a narrow group of editors when the quality of the researchers' work needs to be assessed (for it must, after all). We should not discard the peer review model, merely reform it, says Jon Tennant: We still need to evaluate the quality of research, but we should take advantage of opportunities in online community and networking. However, a new evaluation culture has its own pitfalls, and the biggest uncertainties about the Open Science agenda stem from this. Prestigious journals such as Nature and Science give scientists and lay people confidence that their articles are trustworthy. Everyone needs these kinds of pointers when navigating the academic world. At the same time, there is no guarantee that the quality of research will increase when the masses decide. The risk of a democratic evaluation system is that it creates a new and more intense quantification cult, where research articles are instead measured on colleagues' ratings, as we know it from services like Uber and Tripadvisor. Competition for prestige is an inevitable part of any industry, and today's race will simply be replaced by a new one - on other terms. Here, other studies will lose the battle, probably those with a narrower appeal. The established institutions have an ambivalent relationship with the Open Science movement. Leaders at universities and publishers positively mention it in closed forums, Jon Tennant says, but would rather stick to their existing benefits as long as they can. They also hesitate because the consequences of the new regime are unpredictable. Everyone is scared to move like the first, he says.
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Original content in Danish:
Informationsfrihed. Bevægelsen bag Open Science vil mildne den akademiske evalueringskultur og trække forskerne ud af tidsskrifternes kløer. Interview med en af bevægelsens frontfigurer, den «løsgående palæontolog» Jon Tennant.
Alle data er født frie
Af RASMUS EGMONT FOSS
Flere og flere forskere er frustrerede over videnskabens tilstand anno 2019. Udgiverne af akademiske tidsskrifter har for stor magt over forskningen, siger de. Mange forsøgsresultater kan ikke reproduceres. Og de er trætte af at blive målt og vejet med et væld af tal, som kvantificerer frugten af deres arbejde. I et oprør mod de herskende normer samler et stigende antal utilfredse forskere sig i disse år bag bevægelsen Open Science. Folk er vrede over mange ting: Udgivernes profitmargener. Tiden, der tager at publicere i tidsskrifter. Måden, de bliver evalueret på. Open Science er en reaktion mod alt det, en modbevægelse, der samler frustrationen i en stor bølge, som ingen rigtigt ved, hvad står for, eller hvor bevæger sig hen, fortæller britiske Jon Tennant, en af de førende fortalere for bevægelsen. Tennant har sat en lovende karriere inden for palæonrologien på pause og rejser verden rundt som «løsgænger« for ar udbrede begejstringen for en åben videnskab. Han har især gjort sig bemærket som stifter af Open Science MOOC, et online fællesskab og uddannelsesplatform på området. I disse måneder er han på besøg på Syddansk Universitet. Den brede gruppe af støtter spænder fra dem, der blot ønsker ar gøre alle akademiske artikler frit tilgængelige på nettet, til dem, som ligefrem vil revolucionere forskernes arbejde. De stræber efter at indvie kolleger i alle aspekter af deres arbejde, for eksempel ved at udveksle ideer, frigive tidlige data eller crowdsource redigeringsprocessen. Adskillige organisationer og videnskabsfolk slutter sig til sagen i disse år. Bevægelsen er især kendetegnet ved iniciaciver som Plan S, et projekt om at frigive al statsfinansieret forskning fra 2021, der blandt andet størres af EU-Kommissionen. Også fonde som Gates Foundation har fremmet ideerne ved at tvinge alle støttemodtagere til at dele deres data. Fælles for tilhængerne er, at de vil bringe den moderne forskning tættere på videnskabens ækte formål, som de ser der: at forøge samfundets vidensbase ved at arbejde i flok frem for i siloer. Flere af dem er nu begyndt at pege fingre ad universiteternes voksende evalueringskultur som den vigtigste hindring til at nå det mål. Den forvrænger forskernes motivation og skaber er usundt miljø, siger de. Det største problem i dag er, hvordan forskere bliver målt, og hvem der har kontrollen over det evalueringssystem, mener Jon Tennant. Forskere bliver i højere grad målt på, hvor og hvor meget de publicerer, end hvad de udgiver. Det giver forkerte incitamencer. Samtidig er selve evalueringsprocessen styret af kommercielle interesser hos en snæver gruppe udgivere, som ikke altid deler forskernes interesser. I dag er forskerne ikke i kontrol over systemer, og det er et stort problem, uddyber han.
JON Tennant og Open Science-bevægelsen vil gøre op med det, som den tyske sociolog Steffen Mau har døbt "kvantificeringskulturen i videnskaben. Over de seneste årtier er mange universiteter begyndt ar tilpasse deres kultur for at leve op til de ranglister og pointsystemer, som giver prestige på feltet. l forskernes hverdag har faktorer som cirationsrater og h-indeks (en målestok for en forskers indflydelse) samt tidsskrifternes impact factors for eksempel opnået stor betydning for deres karriere og anseelse blandt kolleger. Stemmerne bag Open Science ønsker en ny model. Den skal fremme kvalitetsforskning og være ansvarlig over for fællesskabet frem for snævre interesser. Første skridt er ar udbrede adgangen til akademiske artikler. Forskere skal kunne bygge videre på alles arbejde, og private udgivere bør ikke have magten over produktet, siger de. I følge talsmænd som Jon Tennant bør vi også åbne hele den videnskabelige proces op ved at bruge internettet bedre. Tidsskrifterne skal fortsat have en plads i systemet, men idag står deres gammeldags model i vejen for at kommunikere vores forskning effektivt. Vi udnytter slet ikke netværksteknologiens muligheder godt nok, siger han. Fra en ny ide opstår, til metoden udvikles, data indhentes, og konklusionerne foreligger, skal alle kunne følge med og foreslå forbedringer, lyder opfordringen. Forskere bør for eksempel publicere deres planer for nye projekter, inden de går i gang med at indsamle data (en såkalt førregistrering) , og de skal opfordres til at dele deres resultater, før artiklen udkommer (en mikroudgivelse). Men så længe udgivere som Elsevier og Springer Nature har magt over forskernes karrierer, mangler forskerne incitamentet ril at samarbejde åbent og inspirere hinanden, mener Jon Tennant. En mere åben og fri proces vil også kunne løse reproducerbarhedskrisen i videnskaben ved at gøre studier mere transparente. Samtidig har det potentialet til at forhindre store mængder tidsspilde, da forskere vil kunne se andres fejlslagne projekter, før de begynder deres eget. OPEN Science er del af en større moderne bevægelse, som ifølge den israelske historiker Yuval Noah Harari er "den første siden 1789, der har opfundet en helt ny værdiinformationsfrihed. Der er ideen om, ar data har ret til at være frit, og at mennesker ikke bør begrænse dets bevægelser. Tankesættet udgør fllosofien bag projekter som Wikipedia, Google og Open Source inden for softwareprogrammering. Ud fra den logik skal magten ligge hos fællesskabet og ikke en smal gruppe af redaktører, når kvaliteten af forskernes arbejde skal vurderes (for der skal den trods alt). Vi skal ikke kassere peer review-modellen, blot reformere den, siger Jon Tennant: Vi skal stadig evaluere kvaliteten af forskningen, men vi bør udnytte mulighederne i online fællesskab og netværk. En ny evalueringskultur har dog sine egne faldgruber, og de største usikkerheder ved agendaen i Open Science stammer herfra. Prestigefyldte tidsskrifter som Nature og Science giver forskere og lægfolk tillid til, at deres artikler er troværdige. Alle har brug for den slags pejlemærker, når de skal navigere i den akademiske verden. Der er samtidig ingen garanti for, at forskningens kvalitet stiger, når masserne bestemmer. Risikoen ved et demokratisk evalueringssysrem er, at det skaber en ny og mere intens kvantificeringskult, hvor forskningsarcikler istedet måles på kollegernes ratinger, som vi kender det fra tjenester som Uber og Tripadvisor. Konkurrencen om prestige er en uundgåelig del af enhver branche, og dagens ræs vil blot erstattes af et nyt – på andre præmisser. Her vil andre studier tabe kampen, formentlig dem med en smallere appel. De etablerede institutioner har et ambivalent forhold til Open Science-bevægelsen. Ledere hos universiteter og udgivere omtaler den positivt i lukkede fora, fortæller Jon Tennant, men vil helst holde fast i deres eksisterende fordele, så længe de kan. De tøver også, fordi konsekvenserne af det nye regime er uforudsigelige. Alle er bange for ar flytte sig som de første, siger han.
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portablesink.com portablesink.com
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Find one of the best manufacturers of portable sinks to get portable sinks for classrooms. MONSAM Portable Sinks offer a wide range of portable sinks for the science lab workstations. Visit their website, to order one for your science lab.
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todayinsci.com todayinsci.com
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Eine neue wissenschaftliche Wahrheit pflegt sich nicht in der Weise durchzusetzen, daß ihre Gegner überzeugt werden und sich als belehrt erklären, sondern vielmehr dadurch, daß ihre Gegner allmählich aussterben und daß die heranwachsende Generation von vornherein mit der Wahrheit vertraut gemacht ist.A new scientific truth does not triumph by convincing its opponents and making them see the light, but rather its opponents eventually die, and a new generation grows up that is familiar with it.
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Transparent Peer Review
Download the complete Review Process [PDF] including:
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- editorial decisions
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www.biorxiv.org www.biorxiv.org
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Transparent Peer Review
Download the complete Review Process [PDF] including:
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</br>
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www.biorxiv.org www.biorxiv.org
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Transparent Peer Review
Download the complete Review Process [PDF] including:
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- authors' reply
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</br>
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www.biorxiv.org www.biorxiv.org
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Transparent Peer Review
Download the complete Review Process [PDF] including:
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</br>
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www.biorxiv.org www.biorxiv.org
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Transparent Peer Review
Download the complete Review Process [PDF] including:
- reviews
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</br>
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www.biorxiv.org www.biorxiv.org
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Transparent Peer Review
Download the complete Review Process [PDF] including:
- reviews
- authors' reply
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</br>
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www.biorxiv.org www.biorxiv.org
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Transparent Peer Review
Download the complete Review Process [PDF] including:
- reviews
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</br>
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www.biorxiv.org www.biorxiv.org
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Transparent Peer Review
Download the complete Review Process [PDF] including:
- reviews
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</br>
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www.biorxiv.org www.biorxiv.org
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Transparent Peer Review
Download the complete Review Process [PDF] including:
- reviews
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</br>
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www.biorxiv.org www.biorxiv.org
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Transparent Peer Review
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</br>
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- Aug 2019
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revistaquestaodeciencia.com.br revistaquestaodeciencia.com.br
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www.sciencedirect.com www.sciencedirect.com
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www.penguin.com www.penguin.com
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This teacher’s guide contains a brief synopsis of each chapter
this is funny
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www.mnemotext.com www.mnemotext.com
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The idea of historiology as a science implies that the disclosure of historical entities is what it has seized upon as its own task. Every science is constituted primarily by thematizing. That which is familiar prescientifically in Dasein as disclosed Being-in-the-world, gets projected upon the Being which is specific to it. With this projection, the realm of entities is bounded off. The ways of access to them get ‘managed’ methodologically, and the conceptual structure for interpreting them is outlined. If we may postpone the question of whether a ‘history of the Present’ is possible, and assign [zuweisen] to historiology the task of disclosing the ‘past’, then the historiological thematizing of history is possible only if, in general, the ‘past’ has in each case already been disclosed. Quite apart from the question of whether sufficient sources are available for the historiological envisagement of the past, the way to it must in general be open if we are to go back to it historiologically. It is by no means patent that anything of the sort is the case, or how this is possible.
Heidegger: "Every science is constituted primarily by thematizing" || Just as Heidegger does not reject facticity outright he is equally careful in his critique of the limits of thematization. Indeed, the two discussions seem to correspond on many points. Is thematization a kind of meta-factualization? A factualization with a temporal component?
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www.kappanonline.org www.kappanonline.org
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Retrieval practice boosts learning by pulling information out of students’ heads (by responding to a brief writing prompt, for example), rather than cramming information into their heads (by lecturing at students, for example). In the classroom, retrieval practice can take many forms, including a quick no-stakes quiz. When students are asked to retrieve new information, they don’t just show what they know, they solidify and expand it. Feedback boosts learning by revealing to students what they know and what they don’t know. At the same time, this increases students’ metacognition — their understanding about their own learning progress. Spaced practice boosts learning by spreading lessons and retrieval opportunities out over time so that new knowledge and skills are not crammed in all at once. By returning to content every so often, students’ knowledge has time to be consolidated and then refreshed. Interleaving — or practicing a mix of skills (such as doing addition, subtraction, multiplication, and division problems all in one sitting) — boosts learning by encouraging connections between and discrimination among closely related topics. Interleaving sometimes slows students’ initial learning of a concept, but it leads to greater retention and learning over time.
How can I build this into my curriculum?
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- Jul 2019
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open.semanticscholar.org open.semanticscholar.orgOAS1
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another body working on scholarly comms infrastructure - but for AI
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www.christianscience.com www.christianscience.com
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Knowledge gained from material sense is figuratively represented in Scripture as a tree, bearing the fruits of Knowledge and Truthsin, sickness, and death.
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www.nature.com www.nature.com
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Science is part of culture, and how science is done depends on the culture in which it is practised. Consider how many medical studies were based on male mice and male patients, and so missed important biomedical insights.
Blaming various cultures as being anti-science has come a long way for the western world. Their viewpoint however is based on the kind of socio-cultural backdrop of their own society and fails to understand or accommodate ideas from cultures that are different from theirs.
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neurosciencenews.com neurosciencenews.com
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The scientists were astonished by the results: selective noradrenaline release re-wired the connectivity patterns between different brain regions in a way that was extremely similar to the changes observed in humans exposed to acute stress. Networks that process sensory stimuli, such as the visual and auditory center of the brain, exhibited the strongest increase in activity. A similar rise in activity was observed in the amygdala network, which is associated with states of anxiety.
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- Jun 2019
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Success ina data science project comes not from access to any one exotic tool, but from having quantifiablegoals, good methodology, crossdiscipline interactions, and a repeatable workflow.
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aeon.co aeon.co
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So many people today – and even professional scientists – seem to me like somebody who has seen thousands of trees but has never seen a forest. A knowledge of the historic and philosophical background gives that kind of independence from prejudices of his generation from which most scientists are suffering.
a nice way to put it
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www.nature.com www.nature.com
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emmalhenderson.com emmalhenderson.com
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Must-reads
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psyarxiv.com psyarxiv.com
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docs.google.com docs.google.com
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Open Science Grassroots Community Networks
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- May 2019
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intelligence.org intelligence.org
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The first difficulty is that the robot’s utility function did not quite match our utility function. Our utility function is 1 if the cauldron is full, 0 if the cauldron is empty, −10 points to whatever the outcome was if the workshop has flooded, +0.2 points if it’s funny, −1,000 points (probably a bit more than that on this scale) if someone gets killed … and it just goes on and on and on.
But it is very difficult to fully express these utility functions in code. The goal is to literally turn our ethics into code -- to translate them into coherent data structures, algorithms, and decision trees. We want to deduce our moral intuitions and more.
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khuskin.digitalscholar.rochester.edu khuskin.digitalscholar.rochester.edu
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S. & S.
Science & Society, co-founded by Schlauch in 1936, is now the oldest continuously published Marxist journal in any language in the world.
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- Apr 2019
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www.go-fair.org www.go-fair.org
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www.orfg.org www.orfg.org
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www.theverge.com www.theverge.com
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Women in science are cited less than their male colleagues. They have a harder time getting work published in notable journals, including the flagships Science and Nature. They are likely paid less than their peers (a 2013 study found that women working in physics and astronomy were paid 40 percent less than men). And they are more likely to face workplace harassment.
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Researchers are protesting grant processes that overwhelmingly fund male-led projects, and scientific societies are reforming their sexual harassment policies.
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blog.socialcops.com blog.socialcops.com
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Interesting data science / development / technology blog from an Indian Start up
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viennaprinciples.org viennaprinciples.org
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A Vision for Scholarly Communication Currently, there is a strong push to address the apparent deficits of the scholarly communication system. Open Science has the potential to change the production and dissemination of scholarly knowledge for the better, but there is no commonly shared vision that describes the system that we want to create.
A Vision for Scholarly Communication
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www.sciencedaily.com www.sciencedaily.com
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Speaking a tonal language (such as Cantonese) primes the brain for musical training
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www.sciencemag.org www.sciencemag.org
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Tonal languages arose in humid climates
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- Mar 2019
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www.wwf.org.uk www.wwf.org.uk
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Coral reefs are projected to decline by a further 70-90% at 1.5°C.
How will that effect the species that rely on the reefs for shelter? Will some be able to survive?
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www.go-fair.org www.go-fair.org
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The main purpose of the Discovery IN is to provide interfaces and other user-facing services for data discovery across disciplines. We explore new and innovative ways of enabling discovery, including visualizations, recommender systems, semantics, content mining, annotation, and responsible metrics. We apply user involvement and participatory design to increase usability and usefulness of the solutions. We go beyond academia, involving users from all stakeholders of research data. We create FAIR and open infrastructures, following the FAIR principles complemented by the principles of open source, open data, and open content, thus enabling reuse of interfaces and user-facing services and continued innovation. Our main objectives are:
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www.bmj.com www.bmj.com
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To investigate whether and how user data are shared by top rated medicines related mobile applications (apps) and to characterise privacy risks to app users, both clinicians and consumers.
"24 of 821 apps identified by an app store crawling program. Included apps pertained to medicines information, dispensing, administration, prescribing, or use, and were interactive."
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nap.nationalacademies.org nap.nationalacademies.org
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This page enables one to download the book "How People Learn" for free and allows one to link to related content. This book was not originally written for adult learning but is included here because it is a valuable resource, an entire book provided for free, with immediate relevance to adult learning even if every example, etc. is not based on adult learning. Rating 4/5
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www.asist.org www.asist.org
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This link is for the Association of Information Science and Technology. While many of the resources are available only to those who are association members, there are a great many resources to be found via this site. Among the items available are their newsletter and their journal articles. As the title suggests, there is a technology focus, and also a focus on scientific findings that can guide instructional designers in the presentation and display of visual and textual information, often but not exclusively online. Instructional designers are specifically addressed via the content of this site. A student membership is available. Rating 5/5
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www1.lsbu.ac.uk www1.lsbu.ac.uk
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A nano-porous carbon composite membrane has been found to display high water flux due to exceptionally high surface diffusion, together with an excellent salt rejection [2616, 2958].
With an excellent ability to reject salt, how often does membrane fouling become an issue when desalinating seawater? to a point where it causes water flux decline and lowers the quality of the water produced.
~ Anthony Y.
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- Feb 2019
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www.citejournal.org www.citejournal.org
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As Shulman (1986) noted, this knowledge would include knowledge of concepts, theories, ideas, organizational frameworks, knowledge of evidence and proof, as well as established practices and approaches toward developing such knowledge. Knowledge and the nature of inquiry differ greatly between fields, and teachers should understand the deeper knowledge fundamentals of the disciplines in which they teach
It is important to not only understand what the content is that we are teaching but to understand what goes into the content that we are teaching. The article gives exampled of art and science; the importance is not only on the art or science it is the history and understanding of artists and their meaning and "knowledge of scientific facts and theories, the scientific method, and evidence-based reasoning"
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ictdethics.wordpress.com ictdethics.wordpress.com
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Research methodologies and methods used must be open for full discussion and review by peers and stakeholders.
So does this mean totally open? As in publish your protocols open?
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sciarc.edu sciarc.edu
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Sci-Arc
higher ed program
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www.theatlantic.com www.theatlantic.com
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The Women Who Contributed to Science but Were Buried in Footnotes
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www.wired.com www.wired.com
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we don't know how to run the experiments that would falsify the hypotheses — the energies are too high, the accelerators too expensive, and so on.
We essentially cannot collect enough data and have to resort to speculation. Is this true?
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apps.webofknowledge.com.ep.fjernadgang.kb.dk apps.webofknowledge.com.ep.fjernadgang.kb.dk
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strongylus vulgaris OR strongulus vulgaris AND horse OR equine
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www.smithsonianmag.com www.smithsonianmag.com
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A History of Slavery and Genocide Is Hidden in Modern DNA
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www.sciencedaily.com www.sciencedaily.com
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Differences In Sexual Desire Can Be Attributed To Genetic Variances
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www.irishtimes.com www.irishtimes.com
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How normal is your sex drive?
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www.nature.com www.nature.com
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Sexual desire traced to genetics
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static1.squarespace.com static1.squarespace.com
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creating obscurities through disputation,
lol @ this.
"creating obscurities through disputation" sounds an awful lot like "broadening the knowledge base of humanity." Arguing toward ever more precise ideas and their articulations is the driving force of the Enlightenment.
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ocsdnet.org ocsdnet.orgOCSDNET2
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every individual has the means to decide how their knowledge is governed and managed to address their needs
This concept is addressed further in https://ocsdnet.org/principles-and-practice-in-open-science-addressing-power-and-inequality-through-situated-openness/
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knowledge commons
The idea of a "knowledge commons" was referenced in the book, "Campesino a Campesino: Voices from Latin America’s Farmer to Farmer Movement for Sustainable Agriculture" by Eric Holt-Giménez in the context of agroecological knowledge inherent in agrarian communities in Latin America.
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- Jan 2019
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static1.squarespace.com static1.squarespace.com
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abstract independently existing “object”
Since forever, apparently, science has relied on Aristotle's "Unmoved Mover," in a sense. Not a god exactly, but some real or imagined unaffected observer whose presence serves as a fixed point from which to accumulate data. Why are we tempted to think this way? Aren't we all moving? What fixed point is there? I'm tempted to go back to the analogy of floating baskets tied together. There is an illusion of being grounded, but we aren't really.
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www.bahai.org www.bahai.org
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This is the meaning of the “Day of Resurrection,” spoken of in all the scriptures, and announced unto all people. Reflect, can a more precious, a mightier, and more glorious day than this be conceived, so that man should willingly forego its grace, and deprive himself of its bounties, which like unto vernal showers are raining from the heaven of mercy upon all mankind?
I think this meaning is that "Resurrection" is the return of a Manifestation in another human frame. And this is stated to be clearly more glorious than the literal interpretations of past scripture.
Why is it clearly more glorious?
- Everyone has access. And it leads to empowerment.
- It allows us to keep science, which is pretty awesome.
- It doesn't allow us to just wait for the rapture - see point 1 about empowerment.
- It allows us to see all religions as united in spirit.
- Related to point 3 and 4, it allows us to unite with non-religious people.
- All of this without "doing violence to the facts".
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inst-fs-iad-prod.inscloudgate.net inst-fs-iad-prod.inscloudgate.net
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This is one of the most important decisions in an EFA (Thompson, 2004; Warne & Larsen, 2014), and these decisions can make g artificially easier or harder to identify.
Deciding the number of factors to retain can be extremely subjective. But that was why it was so important to pre-register our work. We wanted to choose methods for making this decision before seeing the data so that no one could accuse of us of trying to monkey with the data until we got the results we wanted.
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For the sake of transparency, we find it important to explicitly state deviations from our preregistration protocol. First, in our preregistration, we stated that we would search for (cognitive OR intelligence) AND the name of a continent or population. However, searching for a continent was not feasible in finding data sets. We also had difficulty generating a list of population groups (e.g., ethnic groups, tribal groups) that would be useful for our search procedures.
This was my second time I pre-registered the study and the first time my student co-author had. We are still getting the hang of it.
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static1.squarespace.com static1.squarespace.com
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he would extend this to "science" tout court-does not use value-free lan-guage, that value-free language does not exist, and that we cannot posit a purely transparent language devoid of distracting ornament, through which we transact business with pure facts.
This reminds me of an article I read in my Feminist Epistemologies class, "The Egg and the Sperm: How Science Has Constructed a Romance Based on Stereotypical Male-Female Roles," which shook me to my core. It argues that science and culture are intertwined and that they influence and reinforce one another. The scientific descriptions of egg, sperm, reproduction, and ovulation she provides to support her argument show how dangerous the perpetuation of the idea of "value-free" and/or unbiased language can be (and is).
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Value-free language and the possibility of a self-contained discipline make possible both modern sci-ence and that mapping of humanistic inquiry onto a scientific model which has created modern social science as well.
And yet, any mapping of humanistic inquiry onto a scientific model would lead to the creation of incomplete maps, of certain lies. One of those lies? If you can't use the scientific method to come to know something, then that something isn't knowledge/true/truth/fact.
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A comment at the bottom by Barbara H Partee, another panelist alongside Chomsky:
I'd like to see inclusion of a version of the interpretation problem that reflects my own work as a working formal semanticist and is not inherently more probabilistic than the formal 'generation task' (which, by the way, has very little in common with the real-world sentence production task, a task that is probably just as probabilistic as the real-world interpretation task).
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There is a notion of success ... which I think is novel in the history of science. It interprets success as approximating unanalyzed data.
This article makes a solid argument for why statistical and probabilistic models are useful, not only for prediction, but also for understanding. Perhaps this is a key point that Noam misses, but the quote narrows the definition to models that approximate "unanalyzed data".
However, it seems clear from this article that the successes of ML models have gone beyond approximating unanalyzed data.
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But O'Reilly realizes that it doesn't matter what his detractors think of his astronomical ignorance, because his supporters think he has gotten exactly to the key issue: why? He doesn't care how the tides work, tell him why they work. Why is the moon at the right distance to provide a gentle tide, and exert a stabilizing effect on earth's axis of rotation, thus protecting life here? Why does gravity work the way it does? Why does anything at all exist rather than not exist? O'Reilly is correct that these questions can only be addressed by mythmaking, religion or philosophy, not by science.
Scientific insight isn't the same as metaphysical questions, in spite of having the same question word. Asking, "Why do epidemics have a peak?" is not the same as asking "Why does life exist?". Actually, that second question can be interested in two different ways, one metaphysically and one physically. The latter interpretation means that "why" is looking for a material cause. So even simple and approximate models can have generalizing value, such as the Schelling Segregation model. There is difference between models to predict and models to explain, and both have value. As later mentioned in this document, theory and data are two feet and both are needed for each other.
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This page discusses different types of models
- statistical models
- probabilistic models
- trained models
and explores the interaction between prediction and insight.
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Chomsky (1991) shows that he is happy with a Mystical answer, although he shifts vocabulary from "soul" to "biological endowment."
Wasn't one of Chomsky's ideas that humans are uniquely suited to language? The counter-perspective espoused here appears to be that language emerges, and that humans are only distinguished by the magnitude of their capacity for language; other species probably have proto-language, and there is likely a smooth transition from one to the other. In fact, there isn't a "one" nor an "other" in a true qualitative sense.
So what if we discover something about the human that appears to be required for our language? Does this, then, lead us to knowledge of how human language is qualitatively different from other languages?
Can probabilistic models account for qualitative differences? If a very low, but not 0, probability is assigned to a given event that we know is impossible from our theory-based view, that doesn't make our probabilistic model useless. "All models are wrong, some are useful." But it seems that it does carry with it an assumption that there are no real categories, that categories change according to the needs, and are only useful in describing things. But the underlying nature of reality is of a continuum.
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jasss.soc.surrey.ac.uk jasss.soc.surrey.ac.uk
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To Guide Data Collection
This seems to be, essentially, that models are useful for prediction, but prediction of unknowns in the data instead of prediction of future system dynamics.
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Without models, in other words, it is not always clear what data to collect!
Or how to interpret that data in the light of complex systems.
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Plate tectonics surely explains earthquakes, but does not permit us to predict the time and place of their occurrence.
But how do you tell the value of an explanation? Should it not empower you to some new action or ability? It could be that the explanation is somewhat of a by-product of other prediction-making theories (like how plate tectonics relies on thermodynamics, fluid dynamics, and rock mechanics, which do make predictions).
It might also make predictions itself, such as that volcanoes not on clear plate boundaries might be somehow different (distribution of occurrence over time, correlation with earthquakes, content of magma, size of eruption...), or that understanding the explanation for lightning allows prediction that a grounded metal pole above the house might protect the house from lightning strikes. This might be a different kind of prediction, though, since it isn't predicting future dynamics. Knowing how epidemics works doesn't necessarily allow prediction of total infected counts or length of infection, but it does allow prediction of minimum vaccination rates to avert outbreaks.
Nonetheless, a theory as a tool to explain, with very poor predictive ability, can still be useful, though less valuable than one that also makes testable predictions.
But in general, it seems like data -> theory is the explanation. Theory -> data is the prediction. The strength of the prediction depends on the strength of the theory.
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wendynorris.com wendynorris.com
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Theseunderstandings of spatial technologies build on les-sons from science and technology studies (STS)research that describes the processes by which dataand technologies come to assume and reify social andpower relations, worldviews, and epistemologies(Feenberg1999; Pinch and Bijker1987; Wajcman1991; Winner1985)
Good summation of Bijker's and Winner's STS work
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- Dec 2018
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www.cairn.info www.cairn.info
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Le commerce de l’échange savant dont les règles, les formes et les lieux peuvent être mis en cartes produit diverses sortes de validations qui permettent à leurs bénéficiaires d’entrer dans la négociation de situations matérielles : l’expression République des Lettres couvre, et mêle tout à la fois ces formes, ces lieux et un bon nombre de ces situations. Alors que l’échange et la validation des savoirs par les institutions académiques sont soumis à des conditions d’accès étroites et à des délais de publication encore plus longs pour les mémoires reçus par les sociétés que pour ceux de leurs propres membres, les périodiques savants s’ouvrent à des contributions d’origines très diverses qu’ils publient rapidement.
cohabitation et complémentarité des formes de communication savante (voir l'intervention de Judith). Le périodique apparaît comme une ouverture.
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wendynorris.com wendynorris.comhci1523.vp13
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Our under-standing of the gap is driven by technological exploration through artifact cre-ation and deployment, but HCI and CSCW systems need to have at their corea fundamental understanding of how people really work and live in groups, or-ganizations, communities, and other forms of collective life. Otherwise, wewill produce unusable systems, badly mechanizing and distorting collabora-tion and other social activity.
The risk of CSCW not driving toward a more scientific pursuit of social theory, understanding, and ethnomethodology and instead simply building "cool toys"
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The gap is also CSCW’s unique contribution. CSCW exists intellectually atthe boundary and interaction of technology and social settings. Its unique intel-lectual importance is at the confluence of technology and the social, and its
CSCW's potential to become a science of the artificial resides in the study of interactions between society and technology
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Nonetheless, several guiding questions are required based on thesocial–technical gap and its role in any CSCW science of the artificial:• When can a computational system successfully ignore the need fornuance and context?• When can a computational system augment human activity withcomputer technologies suitably to make up for the loss in nuance andcontext, as argued in the approximation section earlier?• Can these benefits be systematized so that we know when we are add-ing benefit rather than creating loss?• What types of future research will solve some of the gaps betweentechnical capabilities and what people expect in their full range of so-cial and collaborative activities?
Questions to consider in moving CSCW toward a science of the artificial
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The final first-order approximation is the creation of technical architecturesthat do not invoke the social–technical gap; these architectures neither requireaction nor delegate it. Instead, these architectures provide supportive oraugmentative facilities, such as advice, to users.
Support infrastructures provide a different type of approximation to augment the user experience.
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Another approximation incorporates new computational mechanisms tosubstitute adequately for social mechanisms or to provide for new social issues(Hollan & Stornetta, 1992).
Approximate a social need with a technical cue. Example in Google Docs of anonymous user icons on page indicates presence but not identity.
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First-order approximations, to adopt a metaphor from fluid dynamics, aretractable solutions that partially solve specific problems with knowntrade-offs.
Definition of first-order approximations.
Ackerman argues that CSCW needs a set of approximations that drive the development of initial work-arounds for the socio-technical gaps.
Essentially, how to satisfy some social requirements and then approximate the trade-offs. Doesn't consider the product a solution in full but something to iterate and improve
This may have been new/radical thinking 20 years ago but seems to have been largely adopted by the CSCW community
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Similarly, an educational perspective would argue that programmers andusers should understand the fundamental nature of the social requirements.
Ackerman argues that CS education should include understanding how to design/build for social needs but also to appreciate the social impacts of technology.
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CSCW’s science, however, must centralize the necessary gap between whatwe would prefer to construct and what we can construct. To do this as a practi-cal program of action requires several steps—palliatives to ameliorate the cur-rent social conditions, first-order approximations to explore the design space,and fundamental lines of inquiry to create the science. These steps should de-velop into a new science of the artificial. In any case, the steps are necessary tomove forward intellectually within CSCW, given the nature of the social–tech-nical gap.
Ackerman sets up the steps necessary for CSCW to become a science of the artificial and to try to resolve the socio-technical gap:
Palliatives to ameliorate social conditions
Approximations to explore the design space
Lines of scientific inquiry
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Ideological initiatives include those that prioritize the needs of the peopleusing the systems.
Approaches to address social conditions and "block troublesome impacts":
Stakeholder analysis
Participatory design
Scandinavian approach to info system design requires trade union involvement
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Simon’s (1969/1981) book does not address the inevitable gaps betweenthe desired outcome and the means of producing that outcome for anylarge-scale design process, but CSCW researchers see these gaps as unavoid-able. The social–technical gap should not have been ignored by Simon.Yet, CSCW is exactly the type of science Simon envisioned, and CSCW couldserve as a reconstruction and renewal of Simon’s viewpoint, suitably revised. Asmuch as was AI, CSCW is inherently a science of the artificial,
How Ackerman sees CSCW as a science of the artificial:
"CSCW is at once an engineering discipline attempting to construct suitable systems for groups, organizations, and other collectivities, and at the same time, CSCW is a social science attempting to understand the basis for that construction in the social world (or everyday experience)."
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At a simple level,CSCW’s intellectual context is framed by social constructionism andethnomethodology (e.g., Berger & Luckmann, 1966; Garfinkel, 1967), systemstheories (e.g., Hutchins, 1995a), and many large-scale system experiences (e.g.,American urban renewal, nuclear power, and Vietnam). All of these pointed tothe complexities underlying any social activity, even those felt to be straightfor-ward.
Succinct description of CSCW as social constructionism, ethnomethodlogy, system theory and large-scale system implementation.
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Yet,The Sciences of the Artificialbecame an an-them call for artificial intelligence and computer science. In the book he ar-gued for a path between the idea for a new science (such as economics orartificial intelligence) and the construction of that new science (perhaps withsome backtracking in the creation process). This argument was both charac-teristically logical and psychologically appealing for the time.
Simon defines "Sciences of the Artificial" as new sciences/disciplines that synthesize knowledge that is technically or socially constructed or "created and maintained through human design and agency" as opposed to the natural sciences
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The HCI and CSCW research communitiesneed to ask what one might do to ameliorate the effects of the gap and to fur-ther understand the gap. I believe an answer—and a future HCI challenge—is toreconceptualize CSCW as a science of the artificial. This echoes Simon (1981)but properly updates his work for CSCW’s time and intellectual task.2
Ackerman describes "CSCW as a science of the artificial" as a potential approach to reduce the socio-technical gap
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A female student taking a math test experiences an extra cognitive and emotional burden of worry related to the stereotype that women are not good at math.
If this is part of the probl;em how do you solve it? why doesnt it effect other careers
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www.nytimes.com www.nytimes.com
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Orbiting instruments are now so small they can be launched by the dozens, and even high school students can build them.
A great way to get students interested in science as a career.
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www.creativitypost.com www.creativitypost.com
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The underrepresentation of girls and women in science, technology, engineering and mathematics (STEM) fields occurs globally.
Where exactly globally?
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bid.berkeley.edu bid.berkeley.edu
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bcourses.berkeley.edu bcourses.berkeley.edu
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- Nov 2018
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www.the-hospitalist.org www.the-hospitalist.org
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At a time of once-in-a-generation reform to healthcare in this country, the leaders of HM can’t afford to rest on their laurels, says Dr. Goldman. Three years ago, he wrote a paper for the Journal of Hospital Medicine titled “An Intellectual Agenda for Hospitalists.” In short, Dr. Goldman would like to see hospitalists move more into advancing science themselves rather than implementing the scientific discoveries of others. He cautions anyone against taking that as criticism of the field. “If hospitalists are going to be the people who implement what other people have found, they run the risk of being the ones who make sure everybody gets perioperative beta-blockers even if they don’t really work,” he says. “If you want to take it to the illogical extreme, you could have people who were experts in how most efficiently to do bloodletting. “The future for hospitalists, if they’re going to get to the next level—I think they can and will—is that they have to be in the discovery zone as well as the implementation zone.” Dr. Wachter says it’s about staying ahead of the curve. For 20 years, the field has been on the cutting edge of how hospitals treat patients. To grow even more, it will be crucial to keep that focus.
Hospitalists can learn these skills through residency and fellowship training. In addition, through mentorship models that create evergrowing
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communemag.com communemag.com
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It’s important to remember that utopia and dystopia aren’t the only terms here. You need to use the Greimas rectangle and see that utopia has an opposite, dystopia, and also a contrary, the anti-utopia. For every concept there is both a not-concept and an anti-concept. So utopia is the idea that the political order could be run better. Dystopia is the not, being the idea that the political order could get worse. Anti-utopias are the anti, saying that the idea of utopia itself is wrong and bad, and that any attempt to try to make things better is sure to wind up making things worse, creating an intended or unintended totalitarian state, or some other such political disaster. 1984 and Brave New World are frequently cited examples of these positions. In 1984 the government is actively trying to make citizens miserable; in Brave New World, the government was first trying to make its citizens happy, but this backfired. As Jameson points out, it is important to oppose political attacks on the idea of utopia, as these are usually reactionary statements on the behalf of the currently powerful, those who enjoy a poorly-hidden utopia-for-the-few alongside a dystopia-for-the-many. This observation provides the fourth term of the Greimas rectangle, often mysterious, but in this case perfectly clear: one must be anti-anti-utopian.
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For a while now I’ve been saying that science fiction works by a kind of double action, like the glasses people wear when watching 3D movies. One lens of science fiction’s aesthetic machinery portrays some future that might actually come to pass; it’s a kind of proleptic realism. The other lens presents a metaphorical vision of our current moment, like a symbol in a poem. Together the two views combine and pop into a vision of History, extending magically into the future. By that definition, dystopias today seem mostly like the metaphorical lens of the science-fictional double action. They exist to express how this moment feels, focusing on fear as a cultural dominant. A realistic portrayal of a future that might really happen isn’t really part of the project—that lens of the science fiction machinery is missing. The Hunger Games trilogy is a good example of this; its depicted future is not plausible, not even logistically possible. That’s not what it’s trying to do. What it does very well is to portray the feeling of the present for young people today, heightened by exaggeration to a kind of dream or nightmare. To the extent this is typical, dystopias can be thought of as a kind of surrealism.
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These days I tend to think of dystopias as being fashionable, perhaps lazy, maybe even complacent, because one pleasure of reading them is cozying into the feeling that however bad our present moment is, it’s nowhere near as bad as the ones these poor characters are suffering through. Vicarious thrill of comfort as we witness/imagine/experience the heroic struggles of our afflicted protagonists—rinse and repeat. Is this catharsis? Possibly more like indulgence, and creation of a sense of comparative safety. A kind of late-capitalist, advanced-nation schadenfreude about those unfortunate fictional citizens whose lives have been trashed by our own political inaction. If this is right, dystopia is part of our all-encompassing hopelessness. On the other hand, there is a real feeling being expressed in them, a real sense of fear. Some speak of a “crisis of representation” in the world today, having to do with governments—that no one anywhere feels properly represented by their government, no matter which style of government it is. Dystopia is surely one expression of that feeling of detachment and helplessness. Since nothing seems to work now, why not blow things up and start over? This would imply that dystopia is some kind of call for revolutionary change. There may be something to that. At the least dystopia is saying, even if repetitiously and unimaginatively, and perhaps salaciously, Something’s wrong. Things are bad.
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en.unesco.org en.unesco.org
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Freedom of intramural expression means that teaching personnel is not only allowed to teach according to their knowledge, but that they can take part in the administration of their institutions. This is supported by the freedom of extramural expression, which gives teachers the capacity to share their research outcomes and disseminate the knowledge acquired.
participation in activities to share research outcomes.
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www.unite4education.org www.unite4education.org
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Researchers now typically engage in a range of ‘questionable research practices’ in the hunt for the glory of publication, with such conditions leading to mental health issues in a higher proportion than any other industry.
'publish or perish' culture creating mental health issues.
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multithreaded.stitchfix.com multithreaded.stitchfix.com
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Unless you need to push the boundaries of what these technologies are capable of, you probably don’t need a highly specialized team of dedicated engineers to build solutions on top of them. If you manage to hire them, they will be bored. If they are bored, they will leave you for Google, Facebook, LinkedIn, Twitter, … – places where their expertise is actually needed. If they are not bored, chances are they are pretty mediocre. Mediocre engineers really excel at building enormously over complicated, awful-to-work-with messes they call “solutions”. Messes tend to necessitate specialization.
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peerj.com peerj.com
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At the same time, we now have several years of experience launching and running new and innovative publications in broad fields. For example, PeerJ – the Journal of Life & Environmental Sciences covers all of biology, the life sciences, and the environmental sciences in a single title; whilst PeerJ Computer Science is targeted towards a more well-defined community. In 2013 we also launched a preprint server (PeerJ Preprints) which covers all the areas in which we publish; and we have developed a comprehensive suite of journal and peer-review functionalities.
New journals released by PeerJ
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www.slideshare.net www.slideshare.net
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Tamper-proof evidence for photographs, videos and preprints using timestamp, blockchain etc.
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Preprints
Timestamps for prepritns
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figshare.com figshare.com
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Blockchain for open scholarly publishing:
Blockchain for scholarly publishing
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wellcome.ac.uk wellcome.ac.uk
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To ensure that research findings are shared widely and are made freely available at the time of publication, Wellcome and the Bill & Melinda Gates Foundation have today (Monday) joined cOAlition S (opens in a new tab) and endorsed the principles of Plan S.
First charitable funders to join Plan-S
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sfdora.org sfdora.org
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Open Science has the potential to make the scientific enterprise more inclusive, and bridge North-South divides in research,
Open science towards reducing the north-south divide
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www.forbes.com www.forbes.com
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This problem disproportionately affects white girls and children of color. (There's a complicated exception for some children of Asian heritage, who have another set of stereotypes to cope with.) School-aged girls slightly outperform boys in math and science, but men take up a higher fraction of positions at each successive level of academia, from undergraduate science majors to faculty positions to administrative positions with the power to hire and promote. In other words, the message of braininess corresponding to scientific skill is applied more heavily to boys and men than to women.
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Science writer Kat Arney delved into this issue in detail in a recent column for the (UK) Royal Society of Chemistry. As she points out, the problems with the "brainy scientist" stereotype are manifold: that science is a meritocracy, and that non-scientists are somehow less valuable.
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- Oct 2018
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www.nytimes.com www.nytimes.com
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Bruno Latour, the Post-Truth Philosopher, Mounts a Defense of Science
Latour on science and truth.
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At a meeting between French industrialists and a climatologist a few years ago, Latour was struck when he heard the scientist defend his results not on the basis of the unimpeachable authority of science but by laying out to his audience his manufacturing secrets: “the large number of researchers involved in climate analysis, the complex system for verifying data, the articles and reports, the principle of peer evaluation, the vast network of weather stations, floating weather buoys, satellites and computers that ensure the flow of information.” The climate denialists, by contrast, the scientist said, had none of this institutional architecture. Latour realized he was witnessing the beginnings a seismic rhetorical shift: from scientists appealing to transcendent, capital-T Truth to touting the robust networks through which truth is, and has always been, established.
A paradigm shift in the rhetoric of science, from metanarratives of truth to the mechanics of truth manufacture.
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www.springboard.com www.springboard.com
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tl;dr: data engineer = software, coding, cleaning data sets data architects = structure the technology to manage data models and database admin data scientist = stats + math models business analysts = communication and domain expertise
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reallifemag.com reallifemag.com
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Questions about the inclusivity of engineering and computer science departments have been going on for quite some time. Several current “innovations” coming out of these fields, many rooted in facial recognition, are indicative of how scientific racism has long been embedded in apparently neutral attempts to measure people — a “new” spin on age-old notions of phrenology and biological determinism, updated with digital capabilities.
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- Sep 2018
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journals.sagepub.com journals.sagepub.com
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Each aspect of the scientific cycle—research design, data collection, analysis, and publication—can and should be made more transparent and accessible.
Cmp. article draft from 2011 related to science in general, not particularly for education science.
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www.mnemotext.com www.mnemotext.com
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Sorry, but your soul just died . . .
It's interesting the use of the word "soul" here as a means to define the unquantifiable part of what makes us human taken from the article mentioned previously. Much of the author's argument has thus far been biotech based and "soul" is at first what the author describes as the chemicals that makes us feel, whereas "soul" is traditionally used as the essence of who we are while our body is just a vessel for that "soul" to live through.
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www.apmreports.org www.apmreports.org
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Education as a practice has placed a much higher value on observation and hands-on experience than on scientific evidence, Seidenberg said. "We have to change the culture of education from one based on beliefs to one based on facts."
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- Jul 2018
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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Therefore, well controlled basic science studies are important in resolving outstanding fundamental questions regarding means of treatment in a consistent and well established model
Yes, but on the other hand, basic science is expensive and does not provide return on investment. That is not good for the economy and businesspeople.
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www.acsh.org www.acsh.org
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Actually, no, it hasn't, no matter what the Bunny's sign says. The scientific method is designed specifically to root out bias and false assumptions, including political ones. Sure, individual scientists can be political, but the scientific method is not. Its ideological agnosticism is why it works so well. In fact, the self-correcting nature of science means it is the best source of secular knowledge that humankind possesses.
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What about people who don't have PhD's? Are they scientists, too? In any world in which credentials matter, the answer is no. (I describe a major exception to the rule below.) Just like getting an MD or a JD is a prerequisite to being called a doctor or a lawyer, in general, getting a PhD in the natural sciences is the prerequisite to being called a scientist.
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www.technologyreview.com www.technologyreview.com
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Social scientists measure the strength of these links using a variety of indicators, such as how often a person calls another, whether that call is reciprocated, the time the two people spend speaking, and so on. But these indicators are often difficult and time-consuming to measure.
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- May 2018
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www.audit.vic.gov.au www.audit.vic.gov.au
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Negative values included when assessing air quality In computing average pollutant concentrations, EPA includes recorded values that are below zero. EPA advised that this is consistent with NEPM AAQ procedures. Logically, however, the lowest possible value for air pollutant concentrations is zero. Either it is present, even if in very small amounts, or it is not. Negative values are an artefact of the measurement and recording process. Leaving negative values in the data introduces a negative bias, which potentially under represents actual concentrations of pollutants. We noted a considerable number of negative values recorded. For example, in 2016, negative values comprised 5.3 per cent of recorded hourly PM2.5 values, and 1.3 per cent of hourly PM10 values. When we excluded negative values from the calculation of one‐day averages, there were five more exceedance days for PM2.5 and one more for PM10 during 2016.
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- Apr 2018
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www.penguin.com www.penguin.com
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What changes have the years brought to the farm? (Most of the animals who were alive during the Rebellion are dead.The farm is now prosperous. Other animals have been bought to replace the dead ones. The windmill has been finished,but instead of generating electricity to help all the animals, it is used for milling corn to make money for the pigs.Napoleon tells the animals that the truest happiness “lay in working hard and living frugally.” And they do that.)
Very interesting questions
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astrologynewsservice.com astrologynewsservice.com
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Astrology proven by artificial intelligence.
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www.faculty.umb.edu www.faculty.umb.edu
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Unfailing experience of mundane events in harmony with the changes occurring in the heavens, has compelled my unwilling belief.
Kepler was not happy to believe in astrology, but he was a scientist.
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www.skyscript.co.uk www.skyscript.co.uk
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Kepler's famous metaphor comparing astrology to the 'foolish daughter' of the 'wise mother' (astronomy) has often been cited as evidence of his disbelief. Seen in context, however, the foolish daughter represents a particular style of astrology — popular astrology — which was not to Kepler's taste. He was always careful to distinguish his reverential vision of the celestial harmonies from the practices of the backstreet astrologers and almanac-makers "who prefer to engage in mad ravings with the uneducated masses".[7] Kepler's astrology was on another plane altogether. Before condemning him for his blatant intellectual snobbery, however, consider how many 'serious' astrologers today feel exactly the same way about Sun-sign columns. Kepler was neither the first nor the last astrologer to pour scorn on those who practise apparently inferior forms of the art. His disapproval stems from his conviction that astrology is nothing less than a divine revelation, "...a testimony of God's works and... by no means a frivolous thing". Unfortunately, Kepler's salary as Imperial Mathematicus was rarely paid (the Imperial treasury owed him 20,000 florins by the end of his career) so he was obliged to scratch out a living by giving astrological advice to wealthy clients and composing astrological almanacs for the 'uneducated masses' he so despised. Reluctantly, Kepler conceded that "the mother would starve if the daughter did not earn anything". In another famous turn of phrase, he warned those learned professors who had grown sceptical of astrology that they were likely to "throw the baby out together with the bathwater" if they rejected it entirely. So Kepler was undoubtedly an astrologer — but he was no respecter of astrological tradition. His ideas seem radical even by the standards of mainstream astrology today. For a start, he dismissed the use of the 12 houses as 'Arabic sorcery'. While accepting that the angles were important, he could see no justification for conventional house division. "Demonstrate the old houses to me," he wrote to one of his correspondents, "Explain their number; prove that there can be neither fewer nor more... show me undoubted and striking examples of their influence." [8] He even went so far as to question the validity of the signs of the zodiac, arguing that they were derived from human reasoning and arithmetical convenience rather than any natural division of the heavens.[9] He had no time for elaborate schemes of planetary sign rulership and saw no reason why some planets should be classed as benefic and others as malefic. Kepler left no astrological convention unchallenged. His rigorous questioning hints at a massive reformation of astrology, on a scale which Ken Negus has compared to the reformation that Martin Luther brought about in the Church.
Kepler's project for astrology, analogous to Luther's project for chistianity.
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www.madinamerica.com www.madinamerica.com
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Excellent example of badly used statistics.
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- Mar 2018
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www.bostonherald.com www.bostonherald.com
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Last month at Portland State University, when biologist Heather Heying made the point that women and men are biologically different, protesters in the audience screamed and excoriated her and tried to damage the sound system before they were removed. “We should not listen to fascism. Nazis are not welcome in civil society,” a protester scowled.
The belief that sexism is at the root of fascism, although well founded, causes hyperactivists to censor scientists.
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www.mspaintadventures.com www.mspaintadventures.com
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beenary code
http://www.unit-conversion.info/texttools/convert-text-to-binary/
binary is anything with two and only two states, a code that is binary represents information using only these two states.
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Ce paradoxe de l’information, à l’interface entre mécanique quantique et relativité générale, ne sera jamais vraiment résolu tant qu’on ne disposera pas d’une théorie qui unifie ces deux cadres.
Cela paraît difficilement réalisable puisque les deux théories semble se contre-dire. Peut-être devons nous accepter deux états de la matière, puisque nous ne faisons jamais l'expérience directe des comportements quantiques.
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Car
Ouah mais c'est fantastique dis donc ! je ne pensais pas que l'espace était plein de surprises...
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www.inverse.com www.inverse.com
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there’s something unusual about the core-mantel boundary under Africa that could be having an important impact on the global magnetic field,”
Hard to believe nobody has inserted a Vibranium joke here...
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Some 1,800 miles beneath southern Africa is an area called the African Large Low Shear Velocity Province, a heavy region that might be pressing down on the hot liquid iron at the Earth’s core that is responsible for generating the magnetic field in the first place.
The African Large Low Shear Velocity Province. Someone could have named that after themselves and didn't...
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- Feb 2018
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catalogs.degreedata.com catalogs.degreedata.com
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Computer Science, B.S.
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- Jan 2018
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maestriadesarrollo.com maestriadesarrollo.com
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Como hipótesis provisional sostengo que la dependencia de formas de racionalidad y análisis logocéntrico de larga data sigue siendo fundamental para la producción académica crítica (¡incluyendo este libro!) y que, a pesar de su notable productividad, tiene consecuencias para ir más allá de las ontologías dualistas. Para desarrollar esta hipótesis, aunque de forma rudimentaria, comienzo recordando el argumento de Varela y sus colegas sobre los límites de la racionalidad abstracta y su insistencia en unir la reflexión y la experiencia. Esto es precisamente lo que trató de hacer la fenomenología; sin embargo —argumentan Varela, Thomson y Rosch— no pudo contestar, completamente, las preguntas radicales que planteaba. ¿Por qué? Su respuesta es relativamente simple pero las consecuencias son de largo alcance. La fenomenología se estancó, precisamente, porque su análisis de la experiencia sigue estando “dentro de la corriente principal de la filosofía Occidental [...] hizo hincapié en el contexto pragmático y encarnado de la experiencia humana, pero de una manera puramente teórica” (Varela et al. 1991: 19). ¿Puede esta afirmación17ser aplicable a la teoría social en su conjunto, tal vez incluso a aquellas tendencias que problematizan sus dualismos estructurantes?
[...] [...] Lo que esta formulación quiere transmitir es que la reflexión no es sólo sobre la experiencia; la reflexión es una forma de la experiencia [...] Cuando la reflexión se hace de esa manera puede cortar la cadena de patrones y percepciones habituales de pensamiento para que pueda ser una reflexión abierta a posibilidades distintas de las contenidas en la representación actual que tenemos del espacio de la vida
Quizás se requieren materialidades nuevas para romper estas lógicas que hacen academia crítica desde los logos, métricas y formas de la academia clásica. En ese sentido la experiencia, que está en el centro de lo hacker, artítistico y activista es clave, pues enactua en discursos no siempre logocéntricos. Es decir, esas reflexiones (usualmente escritas) que son también una experiencia, atravesadas por otras materialidades que dan cuenta de ellas pueden ayudar a deconstruir su expresión logocéntrica.
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en.wikipedia.org en.wikipedia.org
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Dynamic dispatch
a.k.a. Dynamic Method Dispatch
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