Understanding Monetary Premiums in Programmable Value Networks

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Crucial to understanding the workings of power is an understandingof the nature of power in the fullness of its materiality. To restrict power’sproductivity to the limited domain of the “social,” for example, or tofigure matter as merely an end product rather than an active factor infurther materializations, is to cheat matter out of the fullness of its capacity.

But that post-digital lens asks us to look beyond the “twitter is a cesspool” argument.

Social media is not a thing that needs to be fixed. People connecting with people is a thing. Jerks are a thing. Jerks are not a digital problem. Jerks are a real-world problem that has been around for a long time. We need to get past the digital and fix our real-world jerk problem. And, as we go along, we have to think about how our systems help create those jerks.

But I actually think stock and flow is a useful metaphor for media in the 21st century. Here’s what I mean: Flow is the feed. It’s the posts and the tweets. It’s the stream of daily and sub-daily updates that reminds people you exist. Stock is the durable stuff. It’s the content you produce that’s as interesting in two months (or two years) as it is today. It’s what people discover via search. It’s what spreads slowly but surely, building fans over time.

The combination of state surveillance and its capitalist counterpart means that digital technology is separating the citizens in all societies into two groups: the watchers (invisible, unknown and unaccountable) and the watched. This has profound consequences for democracy because asymmetry of knowledge translates into asymmetries of power.

There’s also a robust ecosystem of tools to follow users, monitor site annotations etc.

Catch up by reading my last post of digital streams, campfires and gardens.

supported the aristocracy, from whom she benefited

hierarchical social order

For instance, an aborigine who possesses all of our basic sensory-mental-motor capabilities, but does not possess our background of indirect knowledge and procedure, cannot organize the proper direct actions necessary to drive a car through traffic, request a book from the library, call a committee meeting to discuss a tentative plan, call someone on the telephone, or compose a letter on the typewriter.

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I mean they only had two when I joined Ether and Bitcoin, but they were pretty selective compared to a lot of exchanges and I heard some good things from other friends who had been using it. So I trusted that.

And I realize that late. Um, but I still did get out at a reasonably okay time because I really like all my friends.Derek:00:59:32 I really use what my friends are saying on crypto

ah, and I've heard from a lot of traders, like it definitely is an evolving process.

So I followed that. I followed this one trader. He has 100,000 followers on twitter. He's just scalper uh, margin trader on Big Phoenix. Amazing. Gives amazing videos. Incredible. Uh, I follow him a lot. Um, I guess my style would be most closely to his, I think then definitely Rsi.

Yeah, so I do not have a background in coding, uh, and on on trading view, they have like a social, I really like their community. It's definitely a big community of like higher tier

eetups. I'm trying to really go to meetups and meet other people and I feel like during the bear market, the quality of the meetups really increases because the people that are actually really interested not just for the price before everything else are showing up.

Twitter is my go to and people post a news articles from like ccn from what does it coined, ask a bunch of these crypto news things and they're great. Uh, you know, I take them with a grain of salt because whatever, there's a lot of like fake news.

Um, yeah, it was definitely a on twitter before I really understood what ta was. And I would see people post all these charts and I would always just be taking their word for it. And you know, people post different types of charts and different layouts.

Uh, I'm on definitely on twitter, all scrolling through and guys and people post interesting theories.

uh, Discord is the best and telegram. Those two. Sometimes people will do their own members area by using like click funnels or something like that. Discord is the easiest because you can separate channels. Um, and it's free. Uh telegram. I've like specific groups just because they've built in functionality that usually triggers by phone or at least more as from an notification standpoint. Where sometimes it gets lost in Discord

Um, three commas had been tested by another people that I guess I was kind of following the social proof justification that enough people were in it so that made me more confident in using it.

I don't personally like blindly entering trades that...

will basically want to follow along with why they're notating that as a potential trade board or following it just to see how it plays out, uh, to basically use it as a learning

Most of it is based around talking to people who are more competent or just more comfortable in a specific trading strategy.

or that we're looking out for. Would need us to watch after a trade or to be looking out for a trade. Some of them have signals, like targets for traditional markets. They might have just mentioned, hey, if someone's running the group, they might've mentioned, hey, this is a point where I'm looking to enter short. Uh, so tell where they're looking to essentially place to stop, um, crypto groups Okay. Okay. Yeah, yeah. Okay. Uh, either injured but stop here. And then yourself targets are one, two, three, but it's less structured traditionally.

Uh, yeah, I'm in a few groups. There's a couple of the crypto focused, uh, the also have been just, I wouldn't say [inaudible], but have put more emphasis on, you know, since we're technical traders, there's a reason not to take advantage of, uh, the market opportunities and traditional as they pop up. So we've been focused mainly on just very few inverse etfs to short the s&p to short some major Chinese stocks, um, doing some stuff with, uh, oil, gas. And then there's some groups that I'm in that are specifically focused on just traditional, uh, that are broken up or categorized by what they're trading.

multiple and collective

“It seems like everything used to be something else, yes?”

#快如科技2019发布会# 聊天给钱、看新闻给钱、买东西给钱、玩游戏给钱……在聊天宝，几乎干啥都给钱。

Seneca stresses the point: the practice of the self involves reading, for one could not draw everything from ones own stock or arm oneself by oneself with the principles of reason that are indispensable for self-conduct: guide or example, the help of others is necessary

Do we want technology to keep giving more people a voice, or will traditional gatekeepers control what ideas can be expressed?

“I’m always genuinely happy to interact with listeners,” he said, “and since some prefer social media, I use it. But my (thus far only modestly effective) strategy has been to try and produce enduring content and let it speak for itself, rather than posting ephemera on Facebook and Twitter at regular intervals.”

This distinction enlightens the reading of thegrowing social media and mass emergency lit-erature for three reasons. First, without it, thisnew literature risks undoing decades of work bysocial scientists who have dismantled the mythsof disaster, with a dominant discourse thatincludes panic and unlawful behavior by victims.But in disasters arising from natural hazards, weknow such behaviors are not typical. Massemergencies arising from criminal behavior canhave a much wider range of collective behaviorbecause the source of the hazard is unknown,unpredictable and perhaps more imminentlydangerous

Misinforma-tion arising from natural hazards or exogenousevents might be greater in kind, but less inimpact, with fewer in-common readers as it tra-verses a network that can move a little slowerthan it might in criminal mass emergency events.Because the problem-solving tends to be morediffuse in exogenous events, the same messagemight not reach enough people; in other words,the misinformation might also be thinly diffused.Misinformation in such events is more likely toage out, or not be relevant to enough locations topose a big threat—in other words, all informationin thefirst place is less likely to be categoricallycorrect or incorrect, and as such, it is hard tofindas much value in pursuing the threat of misin-formation in such situations.

Wefindendogeneityandexogeneityof haz-ards to be a meaningful distinction in socialmedia in mass emergencies research, one thatreadily clarifies for a range of researchers andreaders who are outside the social science disci-pline. Just as events that arise from exogenousand endogenous hazards differently impact legal,political, health, and other societal systems, so dothey differently impact social media behavior.8With exogenous events, the culprit is beyondreach, and unstoppable. With endogenous agents,the suspect lies within. Therefore, organizingfeatures of the communication are distinctlydifferent, because the source(s) of the problem(s),the nature of their solutions,and the ability forthe perception of the collective control of theoutcomeare different. Online participation focu-ses on in-common salient problems when theyare present; when the problems are lessin-common and must be addressed in parallel, thecrowd organizes in many smaller groupings and,often endogeneity and exogeneity of hazardspredicts this (Palen & Anderson,2016).

We make this point because we worrythat the very idea of“social media”flattens themany meanings of“crisis”and“emergency”forwhich social sciencefields have worked to pro-vide insight. For example, because Twitter orFacebook are available for use in any kind ofcrises, it is easy to make these applications thesalient concern, and ask“Is Twitter or Facebookbetter in emergency response?,”rather thanquestion how the very nature of emergencyresponse might beg for different forms of infor-mation seeking and reporting. We refer to thisflattening of communication medium and hazardas thesocial media and crisis confound.

Our extensions also have implications for theories ontrust.

Therefore, training should focus on learning how toquickly recognize volunteers’ volition in participating inan emergent group, the tasks they might engage in, andthe support they might need to carry out those tasks.Such training could also help people to recognize thebenefits and dangers of generalized trust. It could alsohelp people to quickly evolve a coordination mecha-nism that does not rely on what people know, but oncompiling and communicating a narrative of the actionsthat volunteers take, so that others are able to assess forthemselves what actions they could take to help.

ur examination suggests that by expandingthe context in which TMS theory is applied to includeemergent response groups, insights can be gained intotheir internal dynamics. The three indicators of the levelof development of a TMS provide a useful frameworkfor organizing these insights in the exhibit.

The urgency of time may make it too onerous forthe extra effort of articulating actions as they are beingperformed, yet most emergency response requires somecommunication.

Explicitly articulated narratives mayalso make clearer that multiple sequences of actions maybe occurring simultaneously, thus resolving role conflictsby allowing multiple ways to accomplish a task

Emergent response groups may also use a mechanismof creating a community narrative (Boland and Tenkasi1995), which is a running narrative of the actions takenand not taken, the decisions made, and the theories inuse. Narratives do not represent a single shared under-standing of a domain; rather they represent the mul-tiplicity of events and actions a community is taking,as members are taking them. Narratives may be articu-lated explicitly or understood implicitly.

Whenemergent response groups first come together, membersare likely not to ask one another about who knows what;instead, they are likely to ask about what is knownabout the situation and about the actions taken thus far(Dyer and Shafer 2003, Hale et al. 2005). The cogni-tive structure that they develop for the group centersnot around people, but on action-based scenarios thateither have been or might be carried out. These scenariosinclude decisions, actions, knowledge, events, and feed-back (Vera and Crossan 2005).

On the surface, the lack of sta-ble membership suggests that a shared mental modelmay not be viable or even desired in emergent responsegroups. Time may be too precious to seek consensus onevents and actions, and agreements may make the groupless flexible to accommodate to changing inputs.

hus, we believe challenges occur in all three indica-tors of the level of development of a TMS—expertisespecialization, credibility, and expertise coordination—requiring a need to consider extending theorizing abouteach indicator for emergent response groups.

Moreland and Argote(2003) suggest that the dynamic conditions under whichthese groups form and work together are likely to havenegative effects on the development of transactive mem-ory.

Research on TMS has identified three indicators of thelevel of development of a TMS (Lewis 2003, Morelandand Argote 2003):1.Memory (or expertise) specialization:the tendencyfor groups to delegate responsibility and to specialize indifferent aspects of the task;2.Credibility:beliefs about the reliability of mem-bers’ expertise; and3.Task (or expertise) coordination:the ability of teammembers to coordinate their work efficiently based ontheir knowledge of who knows what in the group.The greater the presence of each indicator, the more de-veloped the TMS and the more valuable the TMS is forefficiently coordinating the actions of group members.

A TMS can be thoughtof as a network of interconnected individual memorysystems and the transfer of knowledge among them(Wegner 1995). Individuals who are part of a TMSassume responsibility for different knowledge domains,and rely on one another to access each other’s expertiseacross domains. Expertise is defined in the TMS litera-ture to broadly include the know-what, know-how, andknow-why of a knowledge domain (Quinn et al. 1996),what Blackler (1995) refers to as embodied competen-cies. Expertise specialization, then, reduces the cognitiveload of each individual and the amount of redundantknowledge in the group, while collectively providingthe dyad or group access to a larger pool of knowl-edge. What makes transactive memory transactive arethe communications (called transactions) among individ-uals that make possible the codifying, storing, retrieving,and updating of information from individual memorysystems. For transactive memory to function effectively,individuals must have a shared conceptualization of whoknows what in the group.

TMS theory, a theoryof group-level cognition, explains how people in collec-tives learn, store, use, and coordinate their knowledge toaccomplish individual, group, and organizational goals.It is a theory about how people in relationships, groups,and organizations learn who knows what, and use thatknowledge to decide who will do what, resulting in moreefficient and effective individual and collective perfor-mance.

The urgency of the situation meansthat the objective of coordination is to achieve minimallyacceptable and timely action, even when more effec-tive responses may be feasible—but would take longerand use more resources.

hese characteristics require thatemergent response groups adopt specific approaches forknowledge coordination. One such approach commonlydocumented in studies of such groups is their use ofa learn-by-doing (versus decision making) action-basedmodel of coordinated problem solving, in which sensemaking and improvisation are the norm rather than theexception

isaster researchers havedefinedemergent response groupsas collectives of indi-viduals who use nonroutine resources and activities toapply to nonroutine domains and tasks, using nonroutineorganizational arrangements (Bigley and Roberts 2001,Drabek et al. 1981, Drabek 1986, Drabek and McEntire2003, Kreps 1984, Tierney et al. 2001).

Disasters have wideimplications for expertise coordination because the pre-conditions known to facilitate expertise coordination arelimited or nonexistent in disaster response. Such precon-ditions include but are not limited to, a shared goal; aclear reward structure; known group membership, exper-tise, and skills to accomplish the task; and time to sharewho knows what.

Although the con-ventional indicators of efficient coordination—expertisespecialization, credibility in expertise, and coordinationof expertise—are relevant in disaster response, disasterspresent a unique operational environment. Disasters are“events, observable in time and space, in which societiesor their subunits (e.g., communities, regions) incur phys-ical damages and losses and/or disruption of their routine

Experimentation, the third affordance, refers to theuse of technology to encourage participants to try outnovel ideas.

Recombinability refers to forms of technology-enabled action where individual contributors build oneach others’ contributions.

Reviewability refers to the enactment of technology-enabled new forms of working in which participantsare better able to view and manage the content offront and back narratives over time (West and Lakhani2008). By allowing participants to easily and collab-oratively review a range of ideas, technology-affordedreviewability helps the community respond to tensionsin disembodied ideas, because the reviews can provideimportant contextual information for building on others’ideas.

Technology platforms used by OCs can providea number of affordances for knowledge collabora-tion, three of which we mention here: reviewability,recombinability, and experimentation. These affordancesevolve as new participants provide new ways to use thetechnologies, new social norms are developed around thetechnology affordances, and new needs for fresh affor-dances are identified.

Given the fluid nature of OCsand their rapidly evolving technology platforms, and inline with calls to avoid dualistic thinking about tech-nology (Leonardi and Barley 2008, Markus and Silver2008, Orlikowski and Scott 2008), we suggest technol-ogy affordance as a generative response, one that viewstechnology, action, and roles as emergent, inseparable,and coevolving. Technology affordances offer a relationalperspective on human action, where neither the technol-ogy nor the actor is dominant in the sense that the tech-nology does not define what is possible for the actor todo, nor is the actor free from the limitations of the tech-nological environment. Instead, possibilities for actionemerge from the reciprocal interaction between actor andartifact (Gibson 1979, Zammuto et al. 2007). Thus, anaffordance perspective focuses on the organizing actionsthat are afforded by technology artifacts.

third response to manage tensions is to promoteknowledge collaboration by enacting dynamic bound-aries. In social sciences, although boundaries divide anddisintegrate collectives, they also coordinate and inte-grate social action (Bowker and Star 1999, Lamont andMolnár 2002). Fluidity brings the need for flexible andpermeable boundaries, but it is not only the propertiesof the boundaries but also their dynamicity that helpmanage tensions.

We have observed in OCs that no single narrative isable to keep participants informed about the current stateof the OC with respect to each tension. These commu-nities seem to develop two different types of narratives.Borrowing from Goffman (1959), we label the two nar-ratives the “front” and the “back” narratives.

Based on our collective research on to date, we haveidentified that as tensions ebb and flow, OCs use (or,more precisely, participants engage in) any of the fourtypes of responses that seem to help the OC be gen-erative. The first generative response is labeledEngen-dering Roles in the Moment. In this response, membersenact specific roles that help turn the potentially negativeconsequences of a tension into positive consequences.The second generative response is labeledChannelingParticipation. In this response, members create a nar-rative that helps keep fluid participants informed ofthe state of the knowledge, with this narrative havinga necessary duality between a front narrative for gen-eral public consumption and a back narrative to airthe differences and emotions created by the tensions.The third generative response is labeledDynamicallyChanging Boundaries. In this response, OCs changetheir boundaries in ways that discourage or encouragecertain resources into and out of the communities at cer-tain times, depending on the nature of the tension. Thefourth generative response is labeledEvolving Technol-ogy Affordances. In this response, OCs iteratively evolvetheir technologies in use in ways that are embedded by,and become embedded into, iteratively enhanced socialnorms. These iterations help the OC to socially and tech-nically automate responses to tensions so that the com-munity does not unravel.

Tension 5: Positive and Negative Consequences ofTemporary ConvergenceThe classic models of knowledge collaboration in groupsgive particular weight to the need for convergence. Con-vergence around a single goal, direction, criterion, pro-cess, or solution helps counterbalance the forces ofdivergence, allowing diverse ideas to be framed, ana-lyzed, and coalesced into a single solution (Couger 1996,Isaksen and Treffinger 1985, Osborn 1953, Woodmanet al. 1993). In fluid OCs, convergence is still likelyto exist during knowledge collaboration, but the conver-gence is likely to be temporary and incomplete, oftenimplicit, and is situated among subsets of actors in thecommunity rather than the entire community.

ension 2: Positive and Negative Consequencesof TimeA second tension is between the positive and negativeconsequences of the time that people spend contribut-ing to the OC. Knowledge collaboration requires thatindividuals spend time contributing to the OC’s virtualworkspace (Fleming and Waguespack 2007, Lakhani andvon Hippel 2003, Rafaeli and Ariel 2008). Time has apositive consequence for knowledge collaboration. Themore time people spend evolving others’ contributedideas and responding to others’ comments on thoseideas, the more the ideas can evolve

We argue that it is the fluidity, the tensions that flu-idity creates, and the dynamics in how the OC respondsto these tensions that make knowledge collaboration inOCs fundamentally different from knowledge collabora-tion in teams or other traditional organization structures.

As fluctuations in resource endowments arise overtime because of the fluidity in the OC, these fluctua-tions in resources create fluctuations in tensions, makingsimple structural tactics for managing tensions such ascross-functional teams or divergent opinions (Sheremata2000) inadequate for fostering knowledge collaboration.As complex as these tension fluctuations are for the com-munity, it is precisely these tensions that provide thecatalyst for knowledge collaboration. Communities thatthen respond to these tensions generatively (rather thanin restrictive ways) will be able to realize this potential.Thus, it is not the simple presence of resources that fos-ter knowledge collaboration, but rather the presence ofongoing dynamic tensions within the OC that spur thecollaboration. We describe these tensions in the follow-ing section

Fluidity requires us to look at the dynamics—i.e., thecontinuous and rapid changes in resources—rather thanthe presence or the structural form of the resources.Resources may flow from outside the OC (e.g., pas-sion) or be internally generated (e.g., convergence), sub-sequently influencing and influenced by action (Feldman2004). Resources come with the baggage of having bothpositive and negative consequences for knowledge col-laboration, creating a tension within the community inhow to manage the positive and negative consequencesin a manner similar to the one faced by ambidextrousorganizations (O’Reilly and Tushman 2004).

However, failure to examine the critical roleof even the inactive participants in the functioning of thecommunity is to ignore that passive (and invisible) par-ticipation may be a step toward greater participation, aswhen individuals use passivity as a way to learn aboutthe collective in a form of peripheral legitimate partici-pation (Lave and Wenger 1991, Yeow et al. 2006).

Fluidity recognizes the highly flexible or permeableboundaries of OCs, where it is hard to figure out whois in the community and who is outside (Preece et al.2004) at any point in time, let alone over time. Theyare adaptive in that they change as the attention, actions,and interests of the collective of participants change overtime. Many individuals in an OC are at various stagesof exit and entry that change fluidly over time.

We argue that fluid-ity is a fundamental characteristic of OCs that makesknowledge collaboration in such settings possible. Assimply depicted in Figure 1, we envision OCs as fluidorganizational objects that are simultaneously morphingand yet retaining a recognizable shape (de Laet and Mol2000, Law 2002, Mol and Law 1994).

a growing consensus on factors that moti-vate people to make contributions to these communities,including motivational factors based on self-interest (e.g.,Lakhani and von Hippel 2003, Lerner and Tirole 2002,von Hippel and von Krogh 2003), identity (Bagozzi andDholakia 2006, Blanchard and Markus 2004, Ma andAgarwal 2007, Ren et al. 2007, Stewart and Gosain2006), social capital (Nambisan and Baron 2010; Waskoand Faraj 2000, 2005; Wasko et al. 2009), and socialexchange (Faraj and Johnson 2011).

For instance, knowledge collaboration in OCscan occur without the structural mechanisms tradition-ally associated with knowledge collaboration in orga-nizational teams: stable membership, convergence afterdivergence, repeated people-to-people interactions, goal-sharing, and feelings of interdependence among groupmembers (Boland et al. 1994, Carlile 2002, Dougherty1992, Schrage 1995, Tsoukas 2009).

Knowledge collaboration is defined broadly as thesharing, transfer, accumulation, transformation, andcocreation of knowledge. In an OC, knowledge collab-oration involves individual acts of offering knowledgeto others as well as adding to, recombining, modify-ing, and integrating knowledge that others have con-tributed. Knowledge collaboration is a critical elementof the sustainability of OCs as individuals share andcombine their knowledge in ways that benefit them per-sonally, while contributing to the community’s greaterworth (Blanchard and Markus 2004, Jeppesen andFredericksen 2006, Murray and O’Mahoney 2007, vonHippel and von Krogh 2006, Wasko and Faraj 2000).

Online communities (OCs) are open collectives of dis-persed individuals with members who are not necessarilyknown or identifiable and who share common inter-ests, and these communities attend to both their indi-vidual and their collective welfare (Sproull and Arriaga2007).

The situated and emergent nature of coordinationdoes not imply that practices are completely uniqueand novel. On the one hand, they vary accordingto the logic of the situation and the actors present.On the other hand, as seen in our categorizationof dialogic coordination, they follow a recognizablelogic and are only partially improvised. This tensionbetween familiarity and uniqueness of response is atthe core of a practice view of work (Orlikowski 2002).

Recently, Brown and Duguid (2001, p. 208) sug-gested that coordination of organizational knowledgeis likely to be more challenging than coordination ofroutine work, principally because the “elements to becoordinated are not just individuals but communitiesand the practices they foster.” As we found in ourinvestigation of coordination at the boundary, signif-icant epistemic differences exist and must be recog-nized. As the dialogic practices enacted in responseto problematic trajectories show, the epistemic dif-ferences reflect different perspectives or prioritiesand cannot be bridged through better knowledge

nature point to the limitations of a structuralist viewof coordination. In the same way that an organi-zational routine may unfold differently each timebecause it cannot be fully specified (Feldman andPentland 2003), coordination will vary each time.Independent of embraced rules and programs, therewill always be an element of bricolage reflecting thenecessity of patching together working solutions withthe knowledge and resources at hand (Weick 1993).Actors and the generative schemes that propel theiractions under pressure make up an important com-ponent of coordination’s modus operandi (Bourdieu1990, Emirbayer and Mische 1998).

These practices are highly situated, emer-gent, and contextualized and thus cannot be prespec-ified the way traditional coordination mechanismscan be. Thus, recent efforts based on an information-processing view to develop typologies of coordina-tion mechanisms (e.g., Malone et al. 1999) may be tooformal to allow organizations to mount an effectiveresponse to events characterized by urgency, novelty,surprise, and different interpretations.

Our findings also point to a broader divide in coor-dination research. Much of the power of traditionalcoordination models resides in their information-processing basis and their focus on the design issuessurrounding work unit differentiation and integra-tion. This design-centric view with its emphasis onrules,structures,andmodalitiesofcoordinationislessuseful for studying knowledge work.

Boundarywork requires the ability to see perspectives devel-oped by people immersed in a different commu-nity of knowing (Boland and Tenkasi 1995, Star andGriesemer 1989). Often, particular disciplinary focilead to differences in opinion regarding what stepsto take next in treating the patient.

The termdialogic—as opposed to monologic—recognizes dif-ferences and emphasizes the existence of epistemicboundaries, different understandings of events, andthe existence of boundary objects (e.g., the diagnosisor the treatment plan). A dialogic approach to coordi-nation is the recognition that action, communication,and cognition are essentially relational and highlysituated. We use the concept of trajectory (Bourdieu1990, Strauss 1993) to recognize that treatment pro-gressions are not always linear or positive.

A dialogic coordination practice differs from moregeneral expertise coordination processes in that itis highly situated in the specifics of the unfoldingevent, is urgent and high-staked, and occurs at theboundary between communities of practice. Becausecognition is distributed, responsibility is shared, andepistemic differences are present, interactions can becontentious and conflict laden.

xpertisecoordination refers to processes that manage knowl-edge and skill interdependencies

we describe two categories ofcoordination practices that ensure effective work out-comes. The first category, which we callexpertise coor-dination practices, represents processes that make itpossible to manage knowledge and skill interdepen-dencies. These processes bring about fast response,superior reconfiguration, efficient knowledge shar-ing, and expertise vetting. Second, because of therapidlyunfoldingtempooftreatmentandthestochas-tic nature of the treatment trajectory,dialogic coordina-tion practicesare used as contextually and temporallysituated responses to occasional trajectory deviation,errors, and general threats to the patient. These dia-logic coordination practices are crucial for ensuringeffective coordination but often require contentiousinteractions across communities of practice. Figure 1presents a coordination-focused model of patienttreatment and describes the circumstances underwhich dialogic coordination practices are called for.

We found that coordination in a trauma settingentails two specific practices.

Based on a practice view, we suggest the followingdefinition ofcoordination: a temporally unfolding andcontextualized process of input regulation and inter-action articulation to realize a collective performance.

Theprimarygoalispatientstabilizationandini-tiating atreatment trajectory—a temporally unfolding

rauma centersare representative of organizational entities that arefaced with unpredictable environmental demands,complexsetsoftechnologies,highcoordinationloads,and the paradoxical need to achieve high reliabilitywhile maintaining efficient operations.

We sug-gest that for environments where knowledge work isinterdisciplinary and highly contextualized, the rele-vant lens is one of practice. Practices emerge from anongoing stream of activities and are enacted throughthe contextualized actions of individuals (Orlikowski2000). These practices are driven by a practical logic,thatis,arecognitionofnoveltaskdemands,emergentsituations,andtheunpredictabilityofevolvingaction.Bourdieu (1990, p. 12) definespracticesas generativeformulas reflecting the modus operandi (manner ofworking) in contrast to the opus operatum (finishedwork).

In knowledge work, several related factors sug-gest the need to reconceptualize coordination.

Usinga practice lens (Brown and Duguid 2001, Orlikowski2000), we suggest that in settings where work iscontextualized and nonroutine, traditional models ofcoordination are insufficient to explain coordinationas it occurs in practice. First, because expertise is dis-tributed and work highly contextualized, expertisecoordination is required to manage knowledge andskill interdependencies. Second, to avoid error andto ensure that the patient remains on a recoveringtrajectory, fast-response cross-boundary coordinationpractices are enacted. Because of the epistemic dis-tance between specialists organized in communitiesofpractice,theselattercoordinationpracticesmagnifyknowledge differences and are partly contentious.

In this paper, we focus on the collective perfor-manceaspectofcoordinationandemphasizethetem-poral unfolding and situated nature of coordinativeaction. We address how knowledge work is coor-dinated in organizations where decisions must bemade rapidly and where errors can be fatal.

Also, with disaster research having strong theoretical ties with the study of collective behavior(Wenger 1987), and with the field of collective behavior often looking at issues related to social change {e.g., riots, social move­ments), another link between disasters and social change has implicitly

Cross-cultural disaster research may also provide further insights regard­ing disaster phases.

As the field of collective behavior highlights, individuals in social settings have different perceptions of reality-social settings are not homogeneous (e.g., Turner and Killian I 987).' Thus, to tap further the mutually inclusive, multidimen­sional and social-time aspects of disaster phases, researchers should draw upon multiple publics and their definition of disaster phases.

Consid� e�g the redefinition of disaster phases based on social time may help us WJtb the broader and more important struggle of defining disaster.

Consid� e�g the redefinition of disaster phases based on social time may help us WJtb the broader and more important struggle of defining disaster

D!saster and hazard researchers have recognized the social time aspect of disasters. Dynes_ (1970) alludes to social time regarding the social consequences of a disaster. Dynes observes that social time: is important because the activities of every community vary over a period of time duri�� �e day, the week, the month, and the year. S�c� patterned acuv1nes have implications for potential damage within thecommurnty, for preventative activity within the commu­�ty, for the inventory of the meaning of the disaster, for the rmm�?1ate tasks necessary within the community, and for the mobilizanon of community effort. (Dynes 1970, p. 63)

The Phases Should Reflect Social Rather Than Objective Time Giddens (I 987), although not the first, makes an important theoretical distinction between social and objective time. Giddens defines clock time as the use of quantified units. Clock time represents "day-to-day" structured activities. Typically, studies refer to disaster phases with hours, days, weeks, or years. Social time, however, is contingent upon the needs or opportunities of a society.

The technology that favored democracy is changing, and as artificial intelligence develops, it might change further.

What social media did was to transform discovery into a passive rather than an active process.

Newport is an academic — he makes his primary living teaching computer science at a university, so he already has a built-in network and a self-contained world with clear moves towards achievement.

One must always be beware of the advice-giver’s context.

One is to imagine that culture is a self-contained "super-organic" reality with forces and purposes of its own; that is, to reify it. Another is to claim that it consists in the brute pattern of behavioral events we observe in fact to occur in some identifiable community or other; that is, to reduce it.

Two key constituencies for social movements are also early adopters: activists and journalists

movements, among other things, are attempts to intervene in the public sphere through collective, coordinated action. A social movement is both a type of (counter)public itself and a claim made to a public that a wrong should be righted or a change should be made.13 Regardless of whether movements are attempt-ing to change people’s minds, a set of policies, or even a government, they strive to reach and intervene in public life, which is centered on the public sphere of their time.

His dream is to put a live Web server with easy-to-edit pages on every person's desktop, then connect them all in a robust network that feeds off itself and informs other media.

The Weblog community is basically a whole bunch of expert witnesses who increase their expertise constantly through a sort of reputation engine."

While many blogs get dozens or hundreds of visitors, Searls' site attracts thousands. "I partly don't want to care what the number is," he says. "I used to work in broadcasting, where everyone was obsessed by that. I don't want an audience. I feel I'm writing stuff that's part of a conversation. Conversations don't have audiences."

Man, this is a beast that's hungry all the time."

Regular readers of Gillmor's eJournal will recognize his commitment to user participation. "One of the things I'm sure about in journalism right now is that my readers know more than I do," he says. "To the extent that I can take advantage of that in a way that does something for everyone involved ó that strikes me as pretty cool." One fascinating aspect of Gillmor's Weblog is how he lifts the veil from the workings of the journalism profession. "There have been occasions where I put up a note saying, 'I'm working on the following and here's what I think I know,' and the invitation is for the reader to either tell me I'm on the right track, I'm wrong, or at the very least help me find the missing pieces," he says. "That's a pretty interesting thing. Many thousands more people read my column in the newspaper than online, but I do hear back from a fair number of people from the Weblog."

It is based on reciprocity and a level of trust that each party is actively seeking value-added information for the other.

On the net, you have public, or you have secrets. The private intermediate sphere, with its careful buffering. is shattered. E-mails are forwarded verbatim. IRC transcripts, with throwaway comments, are preserved forever. You talk to your friends online, you talk to the world.

It’s the same old story – if you spend a lot of time trying to become famous, then you become famous, but you won’t have spent any time doing anything worth being famous for.

Maybe during this Christmas break I will find the guts to do a purge but I know that it will be a "fake purge".

Pointing someone to a README.md does not lead to learning.

I adopted a ‘horses for courses’ approach to keep it in check. I used Facebook primarily to keep in touch with family and real-world friends, I used Twitter for tech discussions and networking, I used LinkedIn sparingly, and I dropped any social media that didn’t fulfill a specific function for me.

I’m absolutely positioning the Kindle to be a replacement habit for Facebook and Twitter. How much smarter would you be if you replaced half of your social media usage with reading?

sir

"move in a circle"

neither able to do or suggest anything

fancy themselves equal

The mere trash

rich people

seen romantically situated among wood on a high eminence at some little distance

signal-boost

Among the many phenomena we’d tentatively attribute, in large part, to the trend: the rise of sharebait (nee clickbait) and the general BuzzFeedification of traditional media; the Internet hoax-industrial complex, which only seems to be growing stronger; and the utter lack of intelligent online discourse around any remotely complicated, controversial topic.

Today, I had the privilege of speaking on a panel at the Comparative and International Education Society’s Annual Conference with representatives of two open education projects that depend on Creative Commons licenses to do their work. One is the OER publisher Siyavula, based in Cape Town, South Africa. Among other things, they publish textbooks for use in primary and secondary school in math and science. After high school students in the country protested about the conditions of their education – singling out textbook prices as a barrier to their learning – the South African government relied on the Creative Commons license used by Siyavula to print and distribute 10 million Siyavula textbooks to school children, some of whom had never had their own textbook before. The other are the related teacher education projects, TESSA, and TESS-India, which use the Creative Commons Attribution Share-Alike license on teacher training materials. Created first in English, the projects and their teachers rely on the reuse rights granted by the Creative Commons license to translate and localize these training materials to make them authentic for teachers in the linguistically and culturally diverse settings of sub-Saharan Africa and India. (Both projects are linked to and supported by the Open University in the UK, http://www.open.ac.uk/, which uses Creative Commons-licensed materials as well.) If one wakes up hoping to feel that one’s work in the world is useful, then an experience like this makes it a good day.

Where’s my next dashboard? I imagine a next-gen reader that brings me the open web and my social circles in a way that helps me attend to and manage all the flow. There are apps for that, a nice example being FlowReader, which has been around since 2013. I try these things hopefully but so far none has stuck.

Digital connectivity reshapes how movements connect, organize, and evolve during their lifespan.

My goal in this book was above all to develop theories and to present a conceptual analysis of what digital technologies mean for how social move-ments, power and society interact, rather than provide a complete empirical descriptive account of any one movement.

Facebook’s lofty aims were emblazoned even on securities filings: “Our mission is to make the world more open and connected.”

The opening section also lays out come key concepts for the book, including social movement capacities (“social movements’ abilities”) and signals (“their repertoire of protest, like marches, rallies, and occupations as signals of those capacities”) (xi), as well as the problem of tactical freeze (“the inability of these movements to adjust tactics, negotiate demands, and push for

As deepfakes make their way into social media, their spread will likely follow the same pattern as other fake news stories. In a MIT study investigating the diffusion of false content on Twitter published between 2006 and 2017, researchers found that “falsehood diffused significantly farther, faster, deeper, and more broadly than truth in all categories of information.” False stories were 70 percent more likely to be retweeted than the truth and reached 1,500 people six times more quickly than accurate articles.

But now it was all for the best: a law of nature, a chance for the monopolists to do good for the universe. The cheerer-in-chief for the monopoly form is Peter Thiel, author of Competition Is for Losers. Labeling the competitive economy a “relic of history” and a “trap,” he proclaimed that “only one thing can allow a business to transcend the daily brute struggle for survival: monopoly profits.”

In total, Facebook managed to string together 67 unchallenged acquisitions, which seems impressive, unless you consider that Amazon undertook 91 and Google got away with 214 (a few of which were conditioned). In this way, the tech industry became essentially composed of just a few giant trusts: Google for search and related industries, Facebook for social media, Amazon for online commerce. While competitors remained in the wings, their positions became marginalized with every passing day.

When a dominant firm buys its a nascent challenger, alarm bells are supposed to ring. Yet both American and European regulators found themselves unable to find anything wrong with the takeover.

Entscheidend ist, dass sie Herren des Verfahrens bleiben - und eine Vision für das neue Maschinenzeitalter entwickeln.

Instructional Design Strategies for Intensive Online Courses: An Objectivist-Constructivist Blended Approach

The Importance of Interaction in Web-Based Education: A Program-level Case Study of Online MBA Courses

Learning Needs Analysis of Collaborative E-Classes in Semi-Formal Settings: The REVIT Example.

They can spew hate amongst themselves for eternity, but without amplification it won’t thrive.

My work, rooted in both theory and practice, reveals three things that are essential to bringing individuals into the circle of change: autonomy, guidance, and a sense of social community, or working toward a larger meaningful goal.

Humans participate in social learning for a variety of adaptive reasons, such as reducing uncertainty (Kameda and Nakanishi, 2002), learning complex skills and knowledge that could not have been invented by a single individual alone (Richerson and Boyd, 2000; Tomasello, Kruger, and Ratner, 1993), and passing on beneficial cultural traits to offspring (Palmer, 2010). One proposed social-learning mechanism is prestige bias (Henrich and Gil-White, 2001), defined as the selective copying of certain “prestigious” individuals to whom others freely show deference or respect in orderto increase the amount and accuracy of information available to the learner.Prestige bias allows a learner in a novel environment to quickly and inexpensively choose from whom to learn, thus maximizing his or her chances of acquiring adaptive behavioral so lutions toa specific task or enterprisewit hout having to assess directly the adaptiveness of every potential model’s behavior.Learners provide deference to teachers in order to ingratiate themselves with a chosen model, thus gaining extended exposure to that model(Henrich and Gil-White, 2001).New learners can then use that information—who is paying attention to whom—to increase their likelihood of choosing a good teacher.

http://www.zachwhalen.net/posts/how-to-make-a-twitter-bot-with-google-spreadsheets-version-04

Universal education is now widely viewed as one of the basic requirements for a modern society and it serves as a chief catalyst for socio-economic and personal development.