In 1996 and 1998, a pair of workshops at the University of Glasgow on information retrieval and human–computer interaction sought to address the overlap between these two fields. Marchionini notes the impact of the World Wide Web and the sudden increase in information literacy – changes that were only embryonic in the late 1990s.

Another prominent conclusion is that joint asset ownership is suboptimal if investments are in human capital.

Problems stemming from artisanal mining include disruption of families, mining-related illnesses, environmental damage, child labor, prostitution and rape.

The idea was to reward video stars shorted by the system, such as those making sex education and music videos, which marquee advertisers found too risqué to endorse. 

1 Maman died today. Or yesterday maybe, I don't know. I got a telegram from the home: "Mother deceased. Funeral tomorrow. Faithfully yours." That doesn't mean anything. Maybe it was yesterday

As several speakers noted at the Symposium marking the 50th anniversary of the famous “Mother of All Demos,” networked digital computing, at scale, amounts to one of the most powerful and potentially dangerous experiments we have ever performed on ourselves.

McCulloch was a confident, gray-eyed, wild-bearded, chain-smoking philosopher-poet who lived on whiskey and ice cream and never went to bed before 4 a.m.

setting up objectives

A composite process, remember, is organized from both human processes and computer processes

You know very well 'tii-inlinitcly better lo be good than to .�eem so.

disuse of our Faculties we seem to have lost them if we ever had uny arc sunk into an Animal life wholly taken up with sensible objects

Learned vanity, which exceeds that of every other kind, still takes up arms against any thing that is offered as new

or language, in its full extent, means, any way or method whatsoever, by which all that passes in the mind of one man

articulate

he same in all nations, and consequently can e

ing from what

For they who are born deaf, can make themselves understood by visible signs; and we have it on the best authority, that the Mimes of the Ancients, were perfectly intelli-gible, without the use of words.

of nonverbal communication.

fcction

\·e11.m.\· c·o1111111111i

Perfect or Right Orations, but Adulterated, or rather Hermophrodites.

affect the mind of a peasant or Indian with lhe highest admiration

And if the same qualities, in a continued composition and in a smaller degree, affect not the organs with a sensible delight or uneasiness, we exclude the person from all pretensions to this delicacy.

o far only as it is beneficial {l,16�(' or hurtful to the true believers.

he fault of the man,

an imperfection rather upon our words than understandings

Who ever that had a mind to under· stand them mistook the ordinary meaning

much easier got, and more clearly retained

which another has not organs of faculties to attain; as the names of colours to a blind man, or sounds to a deaf man, need not here be mentioned.

hound up in human reason. pas­sion, and imagination; that human beings function in social groups an<l arc limited by historical circumstances

The machine-beings that emerge from these couplings thus demon-strate a different form of identity, o

. In eXistenZ, however, the characters are notall cyborg-style hybrids, wherein the category of the human must first beimagined as relatively discrete in order for it to be connected to (andpotentially troubled by) its Others (human plus machine). Many of thehuman characters in this film exist simply as sites of information ex-change—material entities produced by and teeming with swarms ofothers (codes, identities, technologies, knowledges, and so forth). In

to foreclose any easy distinctio

nt fear of biological and software infecti

require a different kind of response.

hile posthuman reinscriptions of thebody and subjectivity do not return us to the category of the human, theydo not function as a refusal of that category either. Tha

they were human, fully human, bashing, sticking, thrusting, killing

if to do thatis human, if that's what it tak§, tnen I am a human being after all. 'Fully, freely, gladly, for tneficst time.

heroes rhey have people in them.

It is the story that hid my humanity from me

f to do thatis human, if that's what it tak§, tnen I am a human being after all. 'Fully, freely, gladly, for tneficst time.

The society, the civilization they were talking about, these theoreti-cians, was evidently theirs; they owned it, they liked it; they were human, fully human, bashing, sticking, thrusting, killing. Wanting to be human too, I sought for evidence that I was; but if that's what it took, to make a weapon and kill with it, then evidently I was either extremely defective as a human being, or not human at all. That's right, they said. What you are is a woman. Possibly not human at all, certainly defective. Now be quiet while we go on telling the Story of the Ascent of Man the Hero

home being another, larger kind of pouch or bag, a con-tainer for people, and then later on you take it out and eat it or share it or store it up for winter in a solider container or put it in the medicine bundle or the shrine or the museum, the holy place, the area that contains what is sacred,

we are partofthe worldin its ongoing intra-activity

But representationalism (like “nature itself,” notmerely our representations of it!) has a history.

humanist ideal of ‘Man’ as the allegedly universal measureof all things,

With approximately half of variance in cognitive task performance having non-g sources of variance, we believe that other traits may be important in explaining cognitive performance of both non-Western and Western groups.

Although we believe that this study establishes the presence of g in data from these non-Western cultures, this study says nothing about the relative level of general cognitive ability in various societies, nor can it be used to make cross-cultural comparisons. For this purpose, one must establish measurement invariance of a test across different cultural groups (e.g., Holding et al., 2018) to ensure that test items and tasks function in a similar way for each group.

Two peer reviewers raised the possibility that developmental differences across age groups could be a confounding variable because a g factor may be weaker in children than adults.

some of these data sets were collected by individuals who are skeptical of the existence or primacy of g in general or in non-Western cultures (e.g., Hashmi et al., 2010; Hashmi, Tirmizi, Shah, & Khan, 2011; O’Donnell et al., 2012; Pitchford & Outhwaite, 2016; Stemler et al., 2009; Sternberg et al., 2001, 2002). One would think that these investigators would be most likely to include variables in their data sets that would form an additional factor. Yet, with only three ambiguous exceptions (Grigorenko et al., 2006; Gurven et al., 2017), these researchers’ data still produced g.

The mean sample size of the remaining data sets was 539.6 (SD = 1,574.5). The large standard deviation in relationship to the mean is indicative of the noticeably positively skewed distribution of sample sizes, a finding supported by the much smaller median of 170 and skewness value of 6.297. There were 16,559 females (33.1%), 25,431 males (48.6%), and 10,350 individuals whose gender was unreported (19.8%). The majority of samples—62 of 97 samples (63.9%)—consisted entirely or predominantly of individuals below 18. Most of the remaining samples contained entirely or predominantly adults (32 data sets, 33.0%), and the remaining 3 datasets (3.1%) had an unknown age range or an unknown mix of adults and children). The samples span nearly the entire range of life span development, from age 2 to elderly individuals.

Alternatively, one could postulate that a general cognitive ability is a Western trait but not a universal trait among humans, but this would require an evolutionary model where this general ability evolved several times independently throughout the mammalian clade, including separately in the ancestors of Europeans after they migrated out of Africa and separated from other human groups. Such a model requires (a) a great deal of convergent evolution to occur across species occupying widely divergent environmental niches and (b) an incredibly rapid development of a general cognitive ability while the ancestors of Europeans were under extremely strong selection pressures that other humans did not experience (but other mammal species or their ancestors would have experienced at other times). We find the more parsimonious model of an evolutionary origin of the general cognitive ability in the early stages of mammalian development to be the more plausible one, and thus we believe that it is reasonable to expect a general cognitive ability to be a universal human trait.

Investigating cultural beliefs about intelligence may be mildly interesting from an anthropological perspective, but it sheds little light on the nature of intelligence. One undiscussed methodological problem in many studies of cultural perspectives on intelligence is the reliance on surveys of laymen to determine what people in a given culture believe about intelligence. This methodology says little about the actual nature of intelligence.

Panga Munthu test of intelligence

Berry (1986)

We regularly, in the interests of Plato-worship, disembody language and reason, with the narrow-mindedness Mark Johnson points out in an important recent book, The Body in the Mindl3 Our persistent evasion of the "Q" question makes for a great deal of self-centered, self-serving preaching and a great deal of self-satisfied practice. We do sometimes follow that master of contemptuous, self-satisfied self-absorp-tion, the Platonic Socrates, closely indeed.

Train someone in it and, according co Quintilian's way of thinking, you have trained that person to be virtuous. "Virtuosity is some evidence of virtue." To chink of this at/through toggle switch as "virtuous," as implicitly moral, is to com-prehend the deeply felt "reasoning" behind Quintilian's evasive answer to his own question and to glimpse, perhaps, the beginnings of a legitimate explanation of, and justification for, what the humanities do--or at least can do.

his great curricular judgment Day when all things rruu human-ist specialization has rent apart will come together, though we continually believe in and plan on it, continues to elude us.

As with Ramus, reason is one thing, and primary; rhetoric is another, derivative and cosmetic. Permitted in the service of n ch, it is otherwise an abomination.

We believe that members of the public likely learn some inaccurate information about intelligence in their psychology courses. The good news about this implication is that reducing the public’s mistaken beliefs about intelligence will not take a massive public education campaign or public relations blitz. Instead, improving the public’s understanding about intelligence starts in psychology’s own backyard with improving the content of undergraduate courses and textbooks.

This means that it is actually easier to measure intelligence than many other psychological constructs. Indeed, some individuals trying to measure other constructs have inadvertently created intelligence tests

many psychologists simply accept an operational definition of intelligence by spelling out the procedures they use to measure it. . . . Thus, by selecting items for an intelligence test, a psychologist is saying in a direct way, “This is what I mean by intelligence.” A test that measures memory, reasoning, and verbal fluency offers a very different definition of intelligence than one that measures strength of grip, shoe size, hunting skills, or the person’s best Candy Crush mobile game score. (p. 290)

Minnesota Transracial Adoption Study

the Stanford-Binet intelligence test

Some readers will also be surprised to find that The Bell Curve is not as controversial as its reputation would lead one to believe (and most of the book is not about race at all).

Gardner’s multiple intelligences

Most frequently this appeared in the form of a tacit acknowledgment that IQ test scores correlate with academic success, followed by a quick denial that the scores are important for anything else in life

this study highlights the mismatch between scholarly consensus on intelligence and the beliefs of the general public

Judged solely by the number of factually inaccurate statements, the textbooks we examined were mostly accurate.

We found that 79.3% of textbooks contained inaccurate statements and 79.3% had logical fallacies in their sections about intelligence.

Gottfredson’s (1997a) mainstream statement on intelligence

Reflective Design Strategies In addition shaping our principles or objectives, our foundational influences and case studies have also helped us articulate strategies for reflective design. The first three strategies identified here speak to characteristics of designs that encourage reflection by users. The second group of strategies provides ways for reflecting on the process of design.

Some Reflective Design Challenges

Principles of Reflective Design

Reflective design, like reflection-in-action, advocates practicing research and design concomitantly, and not only as separate disciplines. We also subscribe to a view of reflection as a fully engaged interaction and not a detached assessment. Finally, we draw from the observation that reflection is often triggered by an element of surprise, where someone moves from knowing-in-action, operating within the status quo, to reflection-in-action, puzzling out what to do next or why the status quo has been disrupted

In this effort, reflection-in-action provides a ground for uniting theory and practice; whereas theory presents a view of the world in general principles and abstract problem spaces, practice involves both building within these generalities and breaking them down.

CTP is a key method for reflective design, since it offers strategies to bring unconscious values to the fore by creating technical alternatives. In our work, we extend CTP in several ways that make it particularly appropriate for HCI and critical computing.

CTP synthesizes critical reflection with technology production as a way of highlighting and altering unconsciously-held assumptions that are hindering progress in a technical field.

Ludic design promotes engagement in the exploration and production of meaning, providing for curiosity, exploration and reflection as key values. In other words, ludic design focuses on reflection and engagement through the experience of using the designed object.

goal is to push design research beyond an agenda of reinforcing values of consumer culture and to instead embody cultural critique in designed artifacts. A critical designer designs objects not to do what users want and value, but to introduce both designers and users to new ways of looking at the world and the role that designed objects can play for them in it.

value-sensitive design method (VSD). VSD provides techniques to elucidate and answer values questions during the course of a system's design.

From participatory design, we draw several core principles, most notably the reflexive recognition of the politics of design practice and a desire to speak to the needs of multiple constituencies in the design process.

PD strategies tend to be used to support existing practices identified collaboratively by users and designers as a design-worthy project. While values clashes between designers and different users can be elucidated in this collaboration, the values which users and designers share do not necessarily go examined. For reflective design to function as a design practice that opens new cultural possibilities, however, we need to question values which we may unconsciously hold in common. In addition, designers may need to introduce values issues which initially do not interest users or make them uncomfortabl

We define 'reflection' as referring tocritical reflection, orbringing unconscious aspects of experience to conscious awareness, thereby making them available for conscious choice. This critical reflection is crucial to both individual freedom and our quality of life in society as a whole, since without it, we unthinkingly adopt attitudes, practices, values, and identities we might not consciously espouse. Additionally, reflection is not a purely cognitive activity, but is folded into all our ways of seeing and experiencing the world.

Our perspective on reflection is grounded in critical theory, a Western tradition of critical reflection embodied in various intellectual strands including Marxism, feminism, racial and ethnic studies, media studies and psychoanalysis.

ritical theory argues that our everyday values, practices, perspectives, and sense of agency and self are strongly shaped by forces and agendas of which we are normally unaware, such as the politics of race, gender, and economics. Critical reflection provides a means to gain some awareness of such forces as a first step toward possible change.

We believe that, for those concerned about the social implications of the technologies we build, reflection itself should be a core technology design outcome for HCI. That is to say, technology design practices should support both designers and users in ongoing critical reflection about technology and its relationship to human life.

Outliers : All data sets have an expected range of values, and any actual data set also has outliers that fall below or above the expected range. (Space precludes a detailed discussion of how to handle outliers for statistical analysis purposes, see: Barnett & Lewis, 1994 for details.) How to clean outliers strongly depends on the goals of the analysis and the nature of the data.

Understanding the structure of the data : In order to clean log data properly, the researcher must understand the meaning of each record, its associated fi elds, and the interpretation of values. Contextual information about the system that produced the log should be associated with the fi le directly (e.g., “Logging system 3.2.33.2 recorded this fi le on 12-3-2012”) so that if necessary the specifi c code that gener-ated the log can be examined to answer questions about the meaning of the record before executing cleaning operations. The potential misinterpretations take many forms, which we illustrate with encoding of missing data and capped data values.

Data transformations : The goal of data-cleaning is to preserve the meaning with respect to an intended analysis. A concomitant lesson is that the data-cleaner must track all transformations performed on the data .

Data Cleaning A basic axiom of log analysis is that the raw data cannot be assumed to correctly and completely represent the data being recorded. Validation is really the point of data cleaning: to understand any errors that might have entered into the data and to transform the data in a way that preserves the meaning while removing noise. Although we discuss web log cleaning in this section, it is important to note that these principles apply more broadly to all kinds of log analysis; small datasets often have similar cleaning issues as massive collections. In this section, we discuss the issues and how they can be addressed. How can logs possibly go wrong ? Logs suffer from a variety of data errors and distortions. The common sources of errors we have seen in practice include:

In addition, real world events, such as the death of a major sports fi gure or a political event can often cause people to interact with a site differently. Again, be vigilant in sanity checking (e.g., look for an unusual number of visitors) and exclude data until things are back to normal.

Recording accurate and consistent time is often a challenge. Web log fi les record many different timestamps during a search interaction: the time the query was sent from the client, the time it was received by the server, the time results were returned from the server, and the time results were received on the client. Server data is more robust but includes unknown network latencies. In both cases the researcher needs to normalize times and synchronize times across multiple machines. It is common to divide the log data up into “days,” but what counts as a day? Is it all the data from midnight to midnight at some common time reference point or is it all the data from midnight to midnight in the user’s local time zone? Is it important to know if people behave differently in the morning than in the evening? Then local time is important. Is it important to know everything that is happening at a given time? Then all the records should be converted to a common time zone.

Log Studies collect the most natural observations of people as they use systems in whatever ways they typically do, uninfl uenced by experimenters or observers. As the amount of log data that can be collected increases, log studies include many different kinds of people, from all over the world, doing many different kinds of tasks. However, because of the way log data is gathered, much less is known about the people being observed, their intentions or goals, or the contexts in which the observed behaviors occur. Observational log studies allow researchers to form an abstract picture of behavior with an existing system, whereas experimental log stud-ies enable comparisons of two or more systems.

Two common ways to partition log data are by time and by user. Partitioning by time is interesting because log data often contains signifi cant temporal features, such as periodicities (including consistent daily, weekly, and yearly patterns) and spikes in behavior during important events. It is often possible to get an up-to-the- minute picture of how people are behaving with a system from log data by compar-ing past and current behavior.

An important characteristic of log data is that it captures actual user behavior and not recalled behaviors or subjective impressions of interactions.

Table 1 Different types of user data in HCI research

Large-scale log data has enabled HCI researchers to observe how information diffuses through social networks in near real-time during crisis situations (Starbird & Palen, 2010 ), characterize how people revisit web pages over time (Adar, Teevan, & Dumais, 2008 ), and compare how different interfaces for supporting email organi-zation infl uence initial uptake and sustained use (Dumais, Cutrell, Cadiz, Jancke, Sarin, & Robbins, 2003 ; Rodden & Leggett, 2010 ).

Behavioral logs are traces of human behavior seen through the lenses of sensors that capture and record user activity.

The distinct sorts of questions asked of science and design manifest the different kinds of accountability that apply to each - that is, the expectations of what activities must be defended and how, and by extension the ways narratives (accounts) are legitimately formed about each endeavour.science is defined by epistemological accountability, in which the essential requirement is to be able to explain and defend the basis of one’s claimed knowledge. Design, in contrast, works with aesthetic accountability, where ‘aesthetic’ refers to how satisfactory the composition of multiple design features are (as opposed to how ‘beautiful’ it might be). The requirement here is to be able to explain and defend – or, more typically, to demonstrate –that one’s design works.

The issue of whether something ‘works’ goes beyond questions of technical or practical efficacy to address a host of social, cultural, aesthetic and ethical concerns.

To be sure, the topicality, novelty or potential benefits of a given line of research might help it attract notice and support, butscientific researchfundamentally stands or falls on the thoroughness with which activities and reasoning can be tied together. You just can’t get in the game without a solid methodology.

Insights into imprinting from parent-of-origin phased methylomes and transcriptomes

“When the IOM report came out, it gave us a focus and a language that we didn’t have before,” says Dr. Wachter, who served as president of SHM’s Board of Directors and to this day lectures at SHM annual meetings. “But I think the general sensibility that hospitalists are about improving quality and safety and patients’ experience and efficiency—I think that was baked in from the start.”

Dr. Wachter and other early leaders pushed the field to become involved in systems-improvement work. This turned out to be prophetic in December 1999, when patient safety zoomed to the national forefront with the publication of the Institute of Medicine (IOM) report “To Err Is Human.” Its conclusions, by now, are well-known. It showed between 44,000 and 98,000 people a year die from preventable medical errors, the equivalent of a jumbo jet a day crashing. The impact was profound, and safety initiatives became a focal point of hospitals.

“Our biggest opportunity is leaning into that. It’s either embracing the qualitative nature of that and designing systems that can act just on the qualitative nature of their experience, or figuring how to quantitate some of those qualitative measures,” says Chang. “That’ll get us much further, because the real value in health care systems is in the human interactions. My relationship with you as a doctor and a patient is far more valuable than the evidence that some trial suggests.”

As the power is unleashed, computers on the Semantic Web achieve at first the ability to describe, then to infer, and then to reason. The schema is a huge step, and one that will enable a vast amount of interoperability and extra functionality. However, it still only categorizes data. It says nothing about meaning or understanding.

For the age of biotechnology is not so much about technology itself as it is about human beings empowered by biotechnology.

People who take pills to block out from memory the painful or hateful aspects of a new experience will not learn how to deal with suffering or sorrow. A drug that induces fearlessness does not produce courage.

Instead of taking these characteristics and saying that they are the basis for “human dignity,” why don’t we simply accept our destiny as creatures who modify themselves?

What is so important about being a human being in the traditional way that Huxley defines it? After all, what the human race is today is the product of an evolutionary process that has been going on for millions of years, one that with any luck will continue well into the future. There are no fixed human characteristics, except for a general capability to choose what we want to be, to modify ourselves in accordance with our desires. So who is to tell us that being human and having dignity means sticking with a set of emotional responses that are the accidental byproduct of our evolutionary history? There is no such thing as a biological family, no such thing as human nature or a “normal” human being, and even if there were, why should that be a guide for what is right and just?

But in this brightest and kindest world, the philosophical problems themselves become intimidating. A mind that stays at the same capacity cannot live forever; after a few thousand years it would look more like a repeating tape loop than a person. (The most chilling picture I have seen of this is Larry Niven’s story “The Ethics of Madness.”) To live indefinitely long, the mind itself must grow … and when it becomes great enough, and looks back … what fellow-feeling can it have with the soul that it was originally? The later being would be everything the original was, but vastly more. And so even for the individual, the Cairns-Smith or Lynn Margulis notion of new life growing incrementally out of the old must still be valid.

And its very likely that IA is a much easier road to the achievement of superhumanity than pure AI. In humans, the hardest development problems have already been solved. Building up from within ourselves ought to be easier than figuring out what we really are and then building machines that are all of that.

Everywhere we remain unfree and chained to technology, whether we passionately affirm or deny it. But we are delivered over to it in the worst possible way when we regard it as something neutral;

Becoming posthuman means exceeding the limitations that define the less desirable aspects of the “human condition.” Posthuman beings would no longer suffer from disease, aging, and inevitable death (but they are likely to face other challenges). They would have vastly greater physical capability and freedom of form

We want towns and cities in Slovakia to be towns and cities for the people. This concept, known abroad as SMART Cities, defines a new approach to the management (control) of towns based on four priorities, namely investment in human and social capital, investing in transport and communication infrastructure, smart management of natural resources and a participatory approach.

Another way to use a classification system is to consider if there are other possible values that could be used for a given dimension.

For researchers looking for new avenues within human computation, a starting point would be to pick two dimensions and list all possible combinations of values.

These properties formed three of our dimensions: motivation, human skill, and aggregation.

A subtle distinction among human computation systems is the order in which these three roles are performed. We consider the computer to be active only when it is playing an active role in solving the problem, as opposed to simply aggregating results or acting as an information channel. Many permutations are possible.

The classification system we are presenting is based on six of the most salient distinguishing factors. These are summarized in Figure 3.

"... groups of individuals doing things collectively that seem intelligent.” [41]

Data mining can be defined broadly as: “the application of specific algorithms for extracting patterns from data.” [17]

“... applications and services that facilitate collective action and social interaction online with rich exchange of multimedia information and evolution of aggregate knowledge...” [48]

The intersection of crowdsourcing with human computation in Figure 1 represents applications that could reasonably be considered as replacements for either traditional human roles or computer roles.

“Crowdsourcing is the act of taking a job traditionally performed by a designated agent (usually an employee) and outsourcing it to an undefined, generally large group of people in the form of an open call.” [24

modern usage was inspired by von Ahn’s 2005 dissertation titled "Human Computation" [64] and the work leading to it. That thesis defines the term as: “...a paradigm for utilizing human processing power to solve problems that computers cannot yet solve.”

When classifying an artifact, we consider not what it aspires to be, but what it is in its present state.

human computation does not encompass online discussions or creative projects where the initiative and flow of activity are directed primarily by the participants’ inspiration, as opposed to a predetermined plan designed to solve a computational problem.

Human computation is related to, but not synonymous with terms such as collective intelligence, crowdsourcing, and social computing, though all are important to understanding the landscape in which human computation is situated.

n human computation, people act as computational components and perform the work that AI systemslack the skillstocomplete

Free Anatomy and Physiology and Human Body Websites for Kids:

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.

Kahneman concluded his aforementioned presentation to academics by arguing that computers or robots are better than humans on three essential dimensions: they are better at statistical reasoning and less enamoured with stories; they have higher emotional intelligence; and they exhibit far more wisdom than humans.

‘omniscience in the observer’

To illustrate, consider Isaac Newton.

However, computers and algorithms – even the most sophisticated ones – cannot address the fallacy of obviousness. Put differently, they can never know what might be relevant.

At the other extreme we have behavioural economics, which focuses on human bias and blindness by pointing out biases or obvious things that humans miss.

So, given the problem of too much evidence – again, think of all the things that are evident in the gorilla clip – humans try to hone in on what might be relevant for answering particular questions. We attend to what might be meaningful and useful

‘blind to the obvious, and that we also are blind to our blindness’

building on Herbert Simon’s 1950s work on bounded rationality

One consequence of thisposition is a more radical understanding of the sense in whichmateriality is discursive (i.e., material phenomena are inseparable from theapparatuses of bodily production: matteremerges out of and includes as part of itsbeing the ongoing reconfiguring of boundaries), just as discursive practices arealways already material (i.e., they are ongoing material (re)configurings of theworld) (2003: 822).Brought back into the world oftechnology design, this intimate co-constitution ofconfigured materialities with configuring agencies clearly implies a very differentunderstanding of the ‘human-machine interface’.

John Hockenberry

Where do they speak about the ups and downs of human existence in academic publications?

The serendipity of networked practice together with a heightened attention to the importance of protecting the place of human interaction in education resulted in many conference presentations and publications

High-confidence coding and noncoding transcriptome maps

Indeed, perhaps the most obvious thing to send (though it’s a bit macabre) would just be whole cryonically preserved humans (and, yes, they should keep well at the temperature of interstellar space!). Of course, it’s ironic how similar this is to the Egyptian idea of making mummies—though our technology is better (even if we still haven’t yet solved the problem of cryonics).

Climate science details the threats that climate change poses to the livelihoods and well-being of present and future human generations and ecosystems, while policy approaches increasingly recognize the growing social risks of climate-change-driven vulnerabilities. 8

improves what in his nature was vicious & perverse, into qualities of virtue and social worth;

Since October 2016, security forces have carried out a series of brutal crackdowns on ethnic Rohingya Muslims in Rakhine State, including extrajudicial killings, rape, torture, and widespread arson, leading to hundreds of thousands fleeing across the border to Bangladesh

On5July2012,theUNHumanRightsCouncilalsoadoptedaresolutiononthepromotion,protection,andenjoymentofhumanrightsontheInternet,affirmingthathumanrightsapplytobothonlineandofflineactivities.

Or, as a soldier of a desert war wrote in last autumn’s New York Times, is our central task the task of learning how to die—not (as he put it) to die ‘as individuals, but as a civilization’ (Scranton, 2013), in the Anthropocene?

Education, in like manner engrafts a new man on the native stock, & improves what in his nature was vicious & perverse

without being conscious of it, have stored up in idea the greater part of those strong marked varieties of human character,

Well, I don’t think there is any question about it. It can only be attributable to human error. This sort of thing has cropped up before  and it has always been due to human error.

Open the door, Hal. Rotate pod, please, Hal. Stop pod rotation, please, Hal. Rotate the pod, please, Hal. Rotate the pod, please, Hal.

At some point, we may be able to make extensive modifications to human DNA, body tissues, or neurophysiological functioning, or to merge our bodies with sophisticated cybernetic devices.

his expert group sends to companies are 'taken very seriously' by both States and businesses. As such they can be key channels for human rights defenders to leverage the UN experts to contribute to their protection, and help respond to situations where human rights defenders are stigmatised, criminalised, attacked or killed. 

it quickly becomes apparent that people are frequently persuaded by things that most of us would not readily call arguments (and that certainly are not pri-marily linguistic). For instance, we are often persuaded by images, or sounds, or even by physical structures.

but as an ongoing series of mediated encounters

it really so easy, forexample, to distinguish between a speaker, an audience, a message, anda context?

He cared for nothing about my story.

The contagious euphoria you felt has a name: “collective effervescence,” coined a century ago by the French sociologist Émile Durkheim. It’s that glowy, giddy feeling where your sense of self slackens, yielding to a connection with your fellow, synchronized humans.