This teacher’s guide contains a brief synopsis of each chapter

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.

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.

 Knowledge gained from material sense is figuratively represented in Scripture as a tree, bearing the fruits of Knowledge and Truthsin, sickness, and death.

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.

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.

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.

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.

Must-reads

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.

S. & S.

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.

Researchers are protesting grant processes that overwhelmingly fund male-led projects, and scientific societies are reforming their sexual harassment policies.

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.

Speaking a tonal language (such as Cantonese) primes the brain for musical training

Tonal languages arose in humid climates

Coral reefs are projected to decline by a further 70-90% at 1.5°C.

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:

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.

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].

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

Research methodologies and methods used must be open for full discussion and review by peers and stakeholders.

The Women Who Contributed to Science but Were Buried in Footnotes

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.

A History of Slavery and Genocide Is Hidden in Modern DNA

Differences In Sexual Desire Can Be Attributed To Genetic Variances

How normal is your sex drive?

Sexual desire traced to genetics

creating obscurities through disputation,

every individual has the means to decide how their knowledge is governed and managed to address their needs

knowledge commons

abstract independently existing “object”

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?

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.

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.

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.

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.

There is a notion of success ... which I think is novel in the history of science. It interprets success as approximating unanalyzed data.

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.

Chomsky (1991) shows that he is happy with a Mystical answer, although he shifts vocabulary from "soul" to "biological endowment."

To Guide Data Collection

Without models, in other words, it is not always clear what data to collect!

Plate tectonics surely explains earthquakes, but does not permit us to predict the time and place of their occurrence.

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)

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.

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 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

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?

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.

Another approximation incorporates new computational mechanisms tosubstitute adequately for social mechanisms or to provide for new social issues(Hollan & Stornetta, 1992).

First-order approximations, to adopt a metaphor from fluid dynamics, aretractable solutions that partially solve specific problems with knowntrade-offs.

Similarly, an educational perspective would argue that programmers andusers should understand the fundamental nature of the social requirements.

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.

Ideological initiatives include those that prioritize the needs of the peopleusing the systems.

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,

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.

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.

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

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.

Orbiting instruments are now so small they can be launched by the dozens, and even high school students can build them.

The underrepresentation of girls and women in science, technology, engineering and mathematics (STEM) fields occurs globally.

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.

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.

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.

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.

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.

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.  

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.

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.

Preprints

Blockchain for open scholarly publishing:

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.

Open Science has the potential to make the scientific enterprise more inclusive, and bridge North-South divides in research,

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.

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.

Bruno Latour, the Post-Truth Philosopher, Mounts a Defense of Science

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.

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.

Each aspect of the scientific cycle—research design, data collection, analysis, and publication—can and should be made more transparent and accessible.

Sorry, but your soul just died . . .

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."

Therefore, well controlled basic science studies are important in resolving outstanding fundamental questions regarding means of treatment in a consistent and well established model

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.

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.

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.

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.

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.)

Unfailing experience of mundane events in harmony with the changes occurring in the heavens, has compelled my unwilling belief.

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.

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.

beenary code

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.

Car

there’s something unusual about the core-mantel boundary under Africa that could be having an important impact on the global magnetic field,”

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.

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?

Dynamic dispatch

Making things even more maddeningly complicated, seemingly similar foods can differ wildly in nutrition profile. A local, farm-fresh carrot will probably be less diluted in its nutrients than a mass-produced baby carrot that's been bagged in the grocery store. A hamburger at a fast-food restaurant will have different fat and salt content compared with one made at home. Even getting people to better report on every little thing they put into their bodies can't completely address this variation.

In a recent study published in the journal Cell, Israeli scientists tracked 800 people over a week, continuously monitoring their blood sugar levels to see how they responded to the same foods. Every person seemed to respond wildly differently, even to identical meals, "suggesting that universal dietary recommendations may have limited utility," the researchers wrote. "It's now clear that the impact of nutrition on health cannot be simply understood by assessing what people eat," said Rafael Perez-Escamilla, a professor of epidemiology and public health at Yale, "as this is strongly influenced by how the nutrients and other bioactive compounds derived from foods interact with the genes and the extensive gut microbiota that individuals have."

I asked 8 researchers why the science of nutrition is so messy. Here’s what they said.

Today, scientists' success often isn't measured by the quality of their questions or the rigor of their methods. It's instead measured by how much grant money they win, the number of studies they publish, and how they spin their findings to appeal to the public.

The natural selection of bad science

Virtual Worlds (Slowly!) Emerging from Disillusionment Trough In Gartner's 2012 Hype Cycle

ethics of video games in archaeology

the commissioners are aware that they have to encounter much difference of opinion

In the '80s and '90s--as strange as it may seem to say this--we had such luxury of stability. Things weren't changing quite so quickly in the '80s and '90s. And when things are changing too quickly, as one of the characters in Pattern Recognition says, you don't have any place to stand from which to imagine a very elaborate future.

People with scientific training are adopting these practices as well, either by offering services on sites such as Upwork or finding projects through their previous academic networks.