There is also a need for mechanisms to support transformations and processesover time, both for scientific data and scientific ideas. These mechanisms should not only help the user visualize but also express time and change.

Contrary to paper notes, computer files do not display the traces or versions that led to their final state.

This is related to the fact that biology researchers are in a creative process and reflect on their decisions in order to explore new leads or justify their decisions. Paper laboratory notebooks show this temporality ofthoughts.

Temporal Data and Data Temporality: Time is change, not only ord

City Data Exchange is a public-private partnership that explores the possibilities of data exchange. The project investigates the purchase, sale and sharing of a wide variety of data types between different types of users in the city - citizens, public institutions and private companies. The project is a collaboration between the City of Copenhagen, the Capital Region, CLEAN and Hitachi. The idea behind the cooperation is to create a data hub that supports innovation, and which improves the quality of life in the Copenhagen area. The project aims at establishing a marketplace for data owned by both public authorities and private companies. In this way, the project aims to enable large, small and medium-sized enterprises, start-up companies, universities and the public sector to collaborate by consolidating several sources of information. So far, the project has conducted several experiments aimed at organizational and technical setup of a computer market. The technical part of this can be seen on the platform developed by Hitachi, citydataexchange.com .

Open Data DK is a union consisting of a number of Danish municipalities and regions aimed at making public data open and accessible for citizens and businesses. The goal is to increase transparency in public administration and support data-driven growth. The Copenhagen portal for city data contains information about infrastructure, traffic, cultural events and much more. You can find the portal here .

Although the spatio-temporal variation in rumor quantity and content has long been of interest to thefield, collecting data that accounts for temporalandspatial characteristics of rumoring has been extraordinarily difficult to dowith any degree of precision. Some have been able to capture rumoring data with some degree of temporal precision (Bordiaand Rosnow, 1998; Danzig, 1958; Greenberg, 1964) or with some spatial precision (Larsen, 1954), but bridging the two hasbeen difficult. Synthesizing temporal and spatial rumoring data across a wide variety of events had long been beyond thecapabilities of researchers. Simply gathering reliable data on rumoring was already fraught with challenges.

where applicable, any rating in the form of a data trust score that may be assignedto the data fiduciary under section 35;and

the period for which the personal data will beretained in terms of section 10 or where such period is not known, the criteria for determining such period;

Upon receipt of notification, the Authority shall determine whether such breach should be reported by the data fiduciaryto the data principal, taking into account the severity of the harm that may be caused to such data principal or whether some action is required on the part of the data principal to mitigate suchharm.

“Personal data breach”means any unauthorised or accidental disclosure, acquisition, sharing, use, alteration, destruction, loss of access to, of personal data that compromises the confidentiality, integrity or availability of personal data to a data principal;

We noticed that the people who use the data are usually not the same people who produce the data, and they often don’t know where to find the information about the data they try to use. Since the Schematizer already has the knowledge about all the schemas in the Data Pipeline, it becomes an excellent candidate to store information about the data. Meet our knowledge explorer, Watson. The Schematizer requires schema registrars to include documentation along with their schemas. The documentation then is extracted and stored in the Schematizer. To make the schema information and data documentation in the Schematizer accessible to all the teams at Yelp, we created Watson, a webapp that users across the company can use to explore this data. Watson is a visual frontend for the Schematizer and retrieves its information through a set of RESTful APIs exposed by the Schematizer.

Mayor de Blasio and his administration have made progress in meeting their goal of building 200,000 affordable units over the span of a decade, as 21,963 new units were added in 2016, the most in 27 years. However, there continues to be a shortage in East Harlem. Out of the nearly 20,000 affordable units, the city brought to all five boroughs, just 249 units have been built in East Harlem, according to a new report by the Department of Housing and Preservation Development (HPD). To better accommodate these residents, the city plans on expediting the construction of 2,400 units of affordable housing over the next few years, as DNA Info reported.

Furthermore, and differentiating digital time from clock time, he suggests that a lack of adherence to chronological time is compounded by the fact that digital technologies connect with a flow of information that is al-ways and instantly available. He argues that continual change, which is bound up with web services such as social network sites, blogs and the news, is central to the experi-enced need for constant connectivity.

It is not the data that are valuable, he says, but the services powered by them. Some firms are just better at developing new offerings than others.

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.

But, while Kahneman calls for large-scale replications of priming studies, the argument here is not that we need more studies or data to verify that people indeed miss blatantly obvious gorillas. Instead, we need better interpretation and better theories.

webinar

With over 65% contribution to the total revenue, talent solutions are the most important services and tools included in the LinkedIn business model. Talent solutions include premium recruiting tools for the companies and recruiters to help them find the most suitable employees/partners for their business.

LinkedIn apart from being the best recruitment platform is also a sought-after social networking website by marketers to execute their marketing campaigns. This service contributes to over 18% of the total revenue of the company and offers features which let companies to not only create a company page but also enhance their marketing efforts by creating sponsored content, sponsored InMails and text advertisements.

The mobile version of the website was launched in February 2008 and the company was bought by Microsoft in February 2016 for $26.2 billion.

In one high-profile example, a human swarm challenge by CBS Interactive to predict the Kentucky Derby. The swarm correctly predicted the first four horses, in order, defying 542–1 odds and turning a $20 bet into $10,800.

About 600,000 people visit News Genius a month, Lehman said, a figure that had grown 10 times since before President Donald Trump was inaugurated. And the number of people who annotate a post on Genius each month is now at 10,000, up 30 percent from the start of the year. “More people are using News Genius now than ever,” Lehman said. Meanwhile, overall traffic to the website and apps has grown to 62 million a month.

Soon after, Genius made a definitive push to realize Andreessen’s vision. By 2015, Genius claimed 40 million visitors to its website a month, 1 million of whom had annotated a post.

But the biggest problem with the annotator from Genius’ perspective is that few individuals are using it. After more than two years of development, the Chrome extension has only 12,320 users. It was last updated in June 2016.

Right now, they estimate the global taxi market is worth $108 billion, which is triple the size of the $36-billion ride-hailing market. At the same time, they calculate an average of 15 million ride-hailing trips a day globally, which they expect to increase to 97 million by 2030.

Recent studies have indicated that Uber’s U.S. driver churn has sharply increased this year, to rates as high as 96%. Needless to say, it’s hard (and costly) to maintain double-digit growth rates, when only 4% of mission critical, de facto employees stay on the job for more than a year.

Figure 9. Constraint plots

Only a portion of this table is shown here to demonstrate its form and content. A machine-readable version of the full table is available.

Our posterior samples are available online (10.5281/zenodo.162965).

S7 Data Release 2.0

Acero F., Ackermann M., Ajello M. et al (Fermi-LAT) 2015 arXiv:1501.02003Preprint

The catalog of fakes used to generate the efficiency grids in Section 3 are available in a persistent directory: doi:10.5258/SOTON/D0030.

1- 13 A13 --- Planet Planet 15- 15 I1 --- robust Robust flag (1) 17- 23 F7.3 d Per Orbital period 25- 28 F4.1 Rgeo Rad Planet radius 30- 33 F4.2 Rgeo E_Rad 1{sigma} upper error bound on Rad 35- 38 F4.2 Rgeo e_Rad 1{sigma} lower error bound on Rad 40- 40 A1 --- r_Rad Source of planet-star radius ratio (2) 42- 44 F3.1 solMass Mstar Mass of host star 46- 49 F4.2 solMass E_Mstar 1{sigma} upper error bound on Mstar 51- 54 F4.2 solMass e_Mstar 1{sigma} lower error bound on Mstar 56- 56 I1 --- l_Md Md upper limit flag (3) 58- 63 F6.2 Mgeo Md Planet mass from default prior 65- 69 F5.2 Mgeo E_Md ?="" 1{sigma} upper error bound on Md 71- 74 F4.2 Mgeo e_Md ?="" 1{sigma} lower error bound on Md 76- 81 F6.2 g/cm3 rhod Planet density from default prior 83- 87 F5.2 g/cm3 E_rhod ?="" 1{sigma} upper error bound on rhod 89- 92 F4.2 g/cm3 e_rhod ?="" 1{sigma} lower error bound on rhod 94- 94 I1 --- l_Mh Mh upper limit flag (3) 96-100 F5.1 Mgeo Mh Planet mass from high mass prior 102-107 F6.2 Mgeo E_Mh ?="" 1{sigma} upper error bound on Md 109-112 F4.2 Mgeo e_Mh ?="" 1{sigma} lower error bound on Md 114-119 F6.2 g/cm3 rhoh Planet density from high mass prior 121-126 F6.2 g/cm3 E_rhoh ?="" 1{sigma} upper error bound on rhod 128-131 F4.2 g/cm3 e_rhoh ?="" 1{sigma} lower error bound on rhod 133-155 A23 --- Ref References (4)

WISE J085510.83−071442.5

“In short, they have no history of supporting the machine learning research community and instead they are viewed as part of the disreputable ecosystem of people hoping to hype machine learning to make money.”

Thus, the digital object ossifies out of two histories, one virtual and another visual.Within computation, the object arises out of a desire to create a model of the worldwithin the computer but at the same time out of an attempt to create a whole new visualworld native to the compute

We showhow the rise of large datasets, in conjunction with arising interest in data as scholarly output, contributesto the advent of data sharing platforms in a field trad-itionally organized by infrastructures.

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.

Human cognition loses its personal character. Individuals turn into data, and data become regnant

Traditional approaches to information processing present ‘‘information’’as given, well-defined and stable.

sqlite> .mode column sqlite> .headers on

pandas is a Python module used for manipulation and analysis of tabular data.

pandas official documentation

The alternative, of a regulatory patchwork, would make it harder for the West to amass a shared stock of AI training data to rival China’s.

Data Re-Use. Contractor agrees that any and all Institutional Data exchanged shall be used expressly and solely for the purposes enumerated in the Agreement. UH Institutional Data shall not be distributed, repurposed or shared across other applications, environments, or business units of the Contractor. The Contractor further agrees that no Institutional Data of any kind shall be revealed, transmitted, exchanged or otherwise passed to other vendors or interested parties except on a case-by-case basis as specifically agreed to in writing by a University officer with designated data, security, or signature authority.

For the past 100 years we have been chasing visions of data with a singular passion. Many of the best minds of each new generation have devoted themselves to delivering on the inspired data science promises of their day: intelligence testing, building the computer, cracking the genetic code, creating the internet, and now this. We have in the course of a single century built an entire society, economy and culture that runs on information. Yet we have hardly begun to engineer data ethics appropriate for our extraordinary information carnival. If we do not do so soon, data will drive democracy, and we may well lose our chance to do anything about it.

Introducing Subscribe with Google

Dentro de esta propuesta, bien llamada ‘investigación desde la acción colectiva’ (IAC), “las comunidades hacen parte de la producción del conocimiento como investigadoras y los investigadores e investigadoras hacen parte de las acciones colectivas [de transformación social]”

‘caminar la palabra’, un concepto desarrollado por la minga social y comunitaria de los nasa para señalar la necesidad de hacerse visible, denunciar y tejer conocimientos, resistencias y estrategias de manera colectiva con otros movimientos. Las alianzas requieren la creación de inter-conocimiento y traducción entre movimientos y mundos para permitir la inteligibilidad y una medida de coordinación (

. Cambiar la forma de cambiar para cambiar de manera autónoma y construir una nueva realidad (comunidad, región, nación) desde abajo y a la izquierda, como los zapatistas gustan decir. La autonomía no se logra por medio de la ‘captura del Estado’ sino recuperando del Estado las áreas claves de la vida social que ha colonizado. Crea ámbitos de acción que son autónomos del Estado y nuevos arreglos institucionales con ese propósito (como las conocidas juntas de buen gobierno en los territorios zapatistas). La autonomía pretende el establecimiento de nuevas bases para la vida social.

Maestría en Estudios Interdisciplinarios del Desarrollo de la Universidad del Cauca (un bastión del pensamiento decolonial en América Latina, a pesar de su referencia al desarrollo), busca ser una cátedra abierta en la que pueda tener lugar un diálogo inter-epistémico entre académicos, intelectuales y activistas. Tramas y mingas, al que asisten varios cientos de participantes, en gran parte de movimientos sociales y comunidades de base del suroccidente colombiano, es un maravilloso espacio de conversación entre mundos y conocimientos.

. La ICT tiene conexiones directas con los movimientos de intelectuales y activistas en torno a las nociones de ‘decrecimiento’ y la defensa de los comunes. La ICT, el decrecimiento y los comunes en conjunto constituyen un espacio unificado para el futuro desarrollo de la teoría y la práctica del diseño para la transición. En la siguiente sección voy a proponer unconjunto similar de nociones provenientes de América Latina, incluyendo el post-desarrollo, el buen vivir, los derechos de la naturaleza y las transiciones al post-extractivismo como espacios importantes para profundizar el diseño para la transici

El énfasis en la construcción de lugar y en la práctica colaborativa, así como en el arraigo inequívoco del diseño para la transición a una visión ecológica, constituye, sin duda, una intervención ontológica —una ontología política del diseño

Todo diseño es para ‘uso’ enactivo (pero no involucra sólo ‘usuarios’); produce eficacia operacional (pero no ‘utilidad’); fomenta la autopoiesis de las entidades vivas y de los conjuntos heterogéneos de vida; es consciente de vivir en el pluriverso.

En la creación de ámbitos de conversaciones para la acción pasa, necesariamente, del diseño a la experiencia y viceversa (a través, por ejemplo, de la creación de prototipos y de análisis de escenarios). Se pregunta hasta dónde la creación de nuevos diseños permite la emergencia de mejores dominios de interpretación y de acción (

desde esta perspectiva las organizaciones constituyen conversaciones para la acción. Hay un cierto grado de recurrencia y formalización en estas conversaciones, que Winograd y Flores (1986) caracterizan en términos de actos lingüísticos distintivos. Las organizaciones son redes de compromisos que operan a través de actos lingüísticos, como las promesas y

Las rupturas son momentos en los que se interrumpe el modo habitual de ser-en-el-mundo; cuando ocurre una descomposición de este tipo nuestras prácticas consuetudinarias y el papel de nuestras herramientas en su mantenimiento quedan expuestas y aparecen nuevas soluciones de diseño;

I have been arguing for some time that Caliper should be used as a data interoperability exchange standard between apps that operates through the LTI window

Diseñar, por lo tanto, se convierte en una práctica crítica localizada, que vincula la dimensión abierta (open source) de la tecnología con la práctica cultural del diseño.9Como lo anuncia un reciente texto sobre metodologías de diseño, este tiene lugaren términos de conocimientos, contextos, acciones, y aprendizajes situados, ya no neutrales ni universales (Simonsen et al. 2014). A partir de este debate es importante destacar la relevancia que estos diseñadores dan a las preguntas sobre el lugar, la localidad y la comunidad en su revisión de la práctica del diseño como un correctivo a la aceptación acrítica de las tecnologías digitales móviles y como una manera de redefinir su papel en la vida cotidiana.

La buena noticia, sin embargo, es que ya están sucediendo cosas más allá de lo usual en muchos ámbitos sociales, políticos y tecnológicos (como veremos más adelante, las transiciones civilizatorias ya están surgiendo); la mala noticia es que quizás no están sucediendo con la rapidez suficiente, si nos atenemos a los criterios de científicos y activistas del cambio climático

el metarrelato del ‘razonamiento abstracto’ del conocimiento ignora una característica muy importante de la producción de conocimiento que el pensamiento de diseño no olvida: el hecho de que la creación es siempre emergente, en los dos sentidos del término, es decir, auto-organizada y ‘alter-organizada’. Este último calificativo significa que el académico/diseñador también establece elementos y toma decisiones que permiten que la dinámica de auto-organización despegue y haga su trabajo.

co. El diseño es ontológico porque cada objeto, herramienta, servicio o, incluso, narrativa en los que está involucrado, crea formas particulares de ser, saber y hacer

big data solutions for cardiovascular and oncological research.

patient adherence

reliability and accessibility of big data will help facilitate increased reliance upon outcomes-based contracting and alternative payment models.

. Skill, effort and practice are regarded necessary elements in the process by which an actor becomes taken-for-granted (Bourdieu 2000). Accordingly, legitimacy is not simply out there for the asking, but has to be created as well as exploited by actors who seek to gain legitimation.

t from day one the Club complemented its hacks with outward-oriented com-munication aimed to make the hackers’ findings comprehensible and its political demands visible to the largest possible public. The Btx hack itself, for example, would not have been overly effectual if news media had not picked up the story. As news media reported widely on the hack and were largely in support of the hackers’ criticism, the hack gained an event character. Following the Btx hack, the CCC was recognized as a collective actor that had something relevant to say about the communi-cation and information landscape in Germany. The CCC was invited to speak on the main television news magazine of public broadcaster ZDF, the advice of Club members was frequently sought by national newspa-pers, they were asked by corporations to speak on data security and were requested by the newly established Green Party to write a report on the Party’s potential use of networked computing. one of the important details here is that instead of only being the subject of media coverage, the CCC had the opportunity to communicate its point of view to differ-ent audiences

a lower number of partici-pating members also meant a lower number of differing opinions; which, in turn, enabled the group to keep the frames of relevance more focused and to make decisions in a timely manner. Accordingly, performing direct digital action in the form of hacking was directly related to com-municative practices, as they later played an important role in relation to organizing, coordinating and executing the Club’s political project

Statistical and integrative system-level analysis of DNA methylation data

Projects by IF is a limited company based in London, England. We run this website (projectsbyif.com) and its subdomains. We also use third party services to publish work, keep in touch with people and understand how we can do those things better. Many of those services collect some data about people who are interested in IF, come to our events or work with us. Here you can find out what those services are, how we use them and how we store the information they collect. If you’ve got any questions, or want to know more about data we might have collected about you, email hello@projectsbyif.com This page was published on 25 August 2017. You can see any revisions by visiting the repository on Github.

Mount St. Mary’s use of predictive analytics to encourage at-risk students to drop out to elevate the retention rate reveals how analytics can be abused without student knowledge and consent

An institution has implemented a learning management system (LMS). The LMS contains a learning object repository (LOR) that in some aspects is populated by all users across the world  who use the same LMS.  Each user is able to align his/her learning objects to the academic standards appropriate to that jurisdiction. Using CASE 1.0, the LMS is able to present the same learning objects to users in other jurisdictions while displaying the academic standards alignment for the other jurisdictions (associations).

Moving to a Web of Linked Data for Credential Ecosystems

HarvardX Biomedical Data Science Open Online Training

Thismaynotbestatedexplicitly,butthediscourseoninscribingdigitalrightsashumanrightsininternationalhumanrightslawoftenassumesthattheforceofsuchlawswillguaranteethatindividuals,states,corporations,andotherbodieswillperformthem.Thisassumptionfailstorecognizethathowpeopleexperiencebeingdigitalcitizensandhowtheyperformrightsbybringingthemintobeingthroughenactingthemselvesarethegroundsonwhichrightswillbeguaranteed.Howpeopleexperienceperformingrightsisthekeytounderstandinghowtheyinhabitthatspaceofrightsanddevelopapoliticalsubjectivitynecessarytomakingrightsclaims‘I,we,theyhavearightto’.Withoutsuchunderstandingandwithoutdevelopingconceptsandmethodsappropriatetosuchanunderstanding,mosteffortstoinscriberights,weareafraid,wouldremaininadequate,forthesewouldberightswithoutpoliticalsubjects.Conversely,thesamecanbesaidforthosewhoassumethattheenactmentofrights,ofimaginativelyandperformativelybringingrightsintobeing,wouldguaranteetheirinscription.Withoutunderstandingthelegalityofclaimsandtheirscopeorsubstance,suchenactmentswouldremaininadequate,too.Withouttheforceoflaw,thiswouldamounttosubjectswithoutpoliticalrights.Itisthatspacebetweeninscriptionandenactmentthatprovidescluestounderstandinghowdigitalcitizensareemergingaspoliticalsubjectsofoureraandthosewhosepoliticssidewitheitherinscriptionorenactmentaresomewhatmissingthesignificanceofthatrelation.

First,itisundecidablewhetheranactisindeedcapableofproducingasubjectthatitnames.Forthatreason,withoutguarantees,itmustbedoneregardlessofitsactualeffects,fortheeffectsofcitationanditerationareasmuchaboutbringingthepoliticalsubjectthusnamedintobeingasaboutmakinganattempttoremindourselvesthat‘I,we,theyhavearightto’mustbeperformed.Second,withoutnamingthepoliticalsubject,withoutcitinganditeratingyetagainthat‘I,we,theyhavearightto’,itseventualeffectwillnotbeaccomplished,thatis,bringingtheforceoflawintobeing.

Thecharterincludesnineteenrightsandonesetofduties,whichareimportanttooutline

Rancièrecallsbringingthesetwoaspectsofrightstogetherasdissensus.Itisdissensusratherthanconsensusbecausepoliticsisalwaysacontestationoverwhoiscountedandwhatcounts.ForRancière,apoliticalsubjectinvolvesthecapacityforstagingsuchscenesofdissensus.Thus,‘politicalsubjectsarenotdefinitecollectivities.Theyaresurplusnames,namesthatsetoutaquestionoradisputeaboutwhoisincludedintheircount.’

Kroton, the country’s largest university, has about 2 million students

Open Referral : faciliter l’accès aux services sociaux pour les personnes dans le besoinLa rencontre a permis aussi de s’intéresser à des standards plus « grassroots », élaborés par la société civile en fonction de ses besoins. C’est le cas d’Open Referral, un standard élaboré aux Etats-Unis par Greg Bloom pour répondre à un problème essentiel : les personnes dans le besoin ont le plus grand mal à trouver les informations sur les services sociaux à leur disposition. A l’heure actuelle, tous les services d’aides sociales constituent leurs propres bases de données et se plaignent de leur incomplétude. Pour y répondre, Open Referral propose un standard de données pour déterminer : quel organisme propose quel service social ? Où, quand et comment y accéder ? Plutôt que de proposer une application qui répond à ces questions, Open Referral tente de développer un écosystème autour de ses données pour que les personnes dans le besoin trouvent l’information, quel que soit le service dans lequel elles cherchent. A Chicago, Open Referral a permis le lancement de plusieurs services autour des données ouvertes par Purple Binder, un annuaire des services sociaux. Le standard en est à ses débuts mais, pour Open Referral, l’incertitude porte sur le modèle économique : comment générer des revenus tout en augmentant l’impact social par l’ouverture des données ?

differentplatformsproducedifferentsociotechnicalarrangements—rules,norms,procedures,protocols,code,andalgorithms—inordertocreateaneffectivepresentationfortheirusers.Thesearrangements,orwhatwecallconventions,accomplishnotonlyasenseoffairnessbutalsostronghierarchiesthroughwhichnewsisproduced.[19]Thereisnoreasontobelievethattheseplatformsfeatureflathierarchiesorsmoothspacesofdialogue;rather,theyarehierarchicalandstriated.Theissuesofstatusandgatekeepingareasprominentintheseplatformsastheyareelsewhere.

‘citizenjournalismunderstandspeopleashavingpoliticalroles,interestsandrelationships,andasactivelyinterestedinsharingnewstheydeemrelevant.Itunderstands,orperhapsintuits,thataknee-jerkdefinitionofallformsofjournalismasacquiringanddistributinginformationmissesthepoint.’

‘themorepredictableresultwouldbeagradualdesertificationoftheculturallifeofindividualsnolongerabletoencounterwhatisunusual,unexpected,andsurprising.’[61]Ratherthanindividualizedbubbles,sharingsegregatessocialnetworkusersintoculturalbubblesofpreferences,products,andknowledge

Whileitmaysoundcontradictory,evenpersonalizationisanormalizingaction.Thepersonalizedprofilesor‘filterbubbles’generatedbyplatformssuchasGoogleandFacebookoperateonstandardizedalgorithms;whilethepredictionsabout‘whoyouareandwhatyou’lldoandwantnext’maybeuniquefordifferentsubjects,theyareuniqueonlyinlinewiththerulesofthealgorithm.

Thesedigitaltracesareoftenreferredtoasbigdataandarepopularlydiscussedasaresource,arawmaterialwithqualitiestobeminedandcapitalized,thenewoiltobetappedtospureconomies.Throughavarietyofpracticesofvaluation,corporationsnotonlyexploitthedigitaltracesoftheircustomerstomaximizetheiroperationsbutalsosellthosetracestoothers.Forthatreason,citizensubjectswhouseplatformssuchasGooglearesometimesreferredtonotasitscustomersbutasitsproduct.

atrendthatshecallsa‘modernexampleofatragedyofthecommons.’[33]Justasintheclassicversion,subjectswhoprotecttheirdatacontinuetoreapthecollectivebenefits(suchasinmedicine)ofdataleftinthecommons,yetthosebenefitsarethreatenedandwilldegenerateasdatasubjectsoptout.Othersstrikeadifferentwarning,arguingthattheanonymizationofidentityleadstocrowdbehaviourandsubjectstakinglessresponsibilityforwhattheysayanddoandincreasesthelikelihoodoftheirmisbehaving.[34]Boththeargumentsforandagainstanonymizationasasolutionpresumethatwhatisatissueisprotectingthe‘datadoubles’ofcitizensubjects.

digitaltracesalsogetcirculatedandrepurposedandinthisregardhavesociallivesbeyondthefeedbackloopsoftheirplatforms.[28]Thus,notonlyistrackingincipienttothefunctioningofspecificconventions,butthedatageneratedhasextensitysuchthatitcantravelbeyondandbetweenconventions.

TarletonGillespiearguesthattensionsbetweenusersandthedesignersoftheTwitteralgorithmarepartoflargerstakesinthe‘politicsofrepresentation.’Itisatensionunderscoredbyaconflictbetweenpeople’swilltoknowandbevisibletoothersandTwitter’simperativetodrawnewusersintonewconversations.Butsignificantly,Gillespienotesthatsuchalgorithmsnotonlyarebasedonassumptionsabouttheimageofapublictheyseektorepresentbutalsohelpconstructpublicsinthatimage.Thesamecouldbesaidofotherplatforms

Inthisinstance,criticsprotestedthatTwitterwasinvolvedincensoringpoliticalcontent,butothershaveshownthatthecomplexalgorithmsoftheplatformorganizeandfiltercontentinwaysoftenbeyondtheintentionsoftheirdesigners.Ratherthanasimplemeasureofpopularity,thealgorithmisbasedonacombinationoffactors,andthosethatTwitterhasrevealedincludeidentifyingtopicsthatareenjoyingasurgeinaparticularway,suchaswhethertheuseofatermisspiking(acceleratingrapidlyratherthangradually),whetherusersofatermformatightsingleclusterorcutacrossmultipleclusters,whethertweetsareuniqueormostlyretweetsofthesamepost,andwhetherthetermhaspreviouslytrended

platformssuchasGoogleandFacebookthatoperatelike‘predictionengines’by‘constantlycreatingandrefiningatheoryofwhoyouareandwhatyou’lldoandwantnext’basedonwhatyouhavedoneandwantedbefore

Popularlyknownasthe‘quantifiedself’,datatracesproduceacompulsiontonotonlyself-trackbutsharethisdatasothatsubjectscanmonitorthemselvesinrelationtoothersbutalsocontributetoresearchon,forexample,healthconditions.Ironically,whilegovernmentprogrammesforsharinghealthdatahavebeenscuppered,thesharingofhealthinformationthroughprivateorganizationssuchas23andMe(DNAprofilingofmorethan700,000members)andPatientsLikeMe(healthconditionsofmorethan250,000members)areproliferatingandpromotingdatasharingforthepublicgoodofadvancingmedicine.[62]Governmentsandcorporationsalikecalluponcitizensubjectstosharedataaboutthemselvesasanactofcommongood.Throughdisciplinarymethodstheycompelcitizensubjectstoconstitutethemselvesasdatasubjectsratherthanmakingrightsclaimsabouttheownershipofdatathattheyproduce.

Toputitbluntly,fromourperspective,popularcriticshavebecometooconcernedaboutcyberspacecreatingobedientsubjectstopowerratherthanunderstandingthatcyberspaceiscreatingsubmissivesubjectsofpowerwhoarepotentiallycapableofsubversion.

Or,aswewouldputit,actingthroughtheInternetandmakingconnectionswithothersdoesnotreplace,displace,orsupplantotherwaysofactinginsocialorculturalspacesinwhichweareembedded.

Howcanthecallingtoparticipatethatwehaveidentifiedproducedigitalcitizenswhoseactsexceedtheirintentions?Toputitdifferently,atensionexistsbetweenthewaysinwhichthefigureofthedigitalcitizenisconceivedinhegemonicimaginariesandlegaldiscoursesandhowsheisperformativelycomingintobeingthroughactionsthatequiphertobeacitizeninwaysthatarenotacknowledgedoralwaysintended.

Mossbergeretal.,forexample,understanddigitalcitizenshipastheabilitytofullyparticipateinsocietyonline,whichrequiresregularaccesstotheInternet,withadequatedevicesandspeeds,technologicalskillsandcompetence,andinformationliteracy.[21]Equippingthusincludesnotonlyhardware,suchasinstallingcomputersinclassroomsandlibrariesandexpandinghigh-speedbroadbandservices,butalsodevelopingskillsandcapabilitiesthroughtrainingcoursesincomputing,coding,andprogramming

Theempoweringpossibilitiesofaccessingandworkingwithdataalsounderpin‘opengovernmentdata’programmes.Opennessisextendedtomakinggovernmenttransparentthroughapublicrighttodataandfreedomtoinformation,aversionthatisalsoadvancedbycivicorganizationssuchasmySociety.[19]Thesecallforthanimaginaryofcitizensasdataanalystsequippedwiththeskillsnecessarytoanalysetheircommercialtransactionsandthusmakebetterdecisionsortoanalysethetransactionsofgovernmentsandthusholdthemtoaccount.

Inequalityisexpressedasleadingtotwodivisions:betweenthosewhodoanddonothaveaccessandbetweenthosewhodoordonotcontributetocontentorleavedigitaltraces.

Wecannotsimplyassumethatbeingadigitalcitizenalreadymeanssomething,suchastheabilitytoparticipate,andthenlookforwhoseconductconformstothismeaning.Rather,digitalactsarerefashioning,inventing,andmakingupcitizensubjectsthroughtheplayofobedience,submission,andsubversion

‘Theforceoftheperformativeisthusnotinheritedfrompriorusage,butissuesforthpreciselyfromitsbreakwithanyandallpriorusage.Thatbreak,thatforceofrupture,istheforceoftheperformative,beyondallquestionoftruthormeaning.’[22]Forpoliticalsubjectivity,‘performativitycanworkinpreciselysuchcounter-hegemonicways.Thatmomentinwhichaspeechactwithoutpriorauthorizationneverthelessassumesauthorizationinthecourseofitsperformancemayanticipateandinstatealteredcontextsforitsfuturereception.’[23]Toconceiveruptureasasystemicortotalupheavalwouldbefutile.Rather,ruptureisamomentwherethefuturebreaksthroughintothepresent.[24]Itisthatmomentwhereitbecomespossibletodosomethingdifferentinorbysayingsomethingdifferent.

We also downloaded Twitter user profiles, such as the size offollowers, along with their profile description.

We deleted non-directed tweets, but itshould be acknowledged that non-directed tweets may also bear implications for knowledgesharing and can be examined in future studies. The data cleaning procedure also excludedretweets and tweets that serve as quoting.

A Python script was used to download tweets through Twitter API.

The company's API for scoring toxicity in online discussions already behaves like a racist hand dryer.

Addressing implicit and explicit cultural biases in data is going to be a huge challenge for everyone who is trying to build a system dependent on data classified by or about humans.

what are our best, shared hopes for DH? What tasks and projects might we take up, or tie in? What are our functions—or, if you prefer, our vocations, now

The learning analytics and education data mining discussed in this handbook hold great promise. At the same time, they raise important concerns about security, privacy, and the broader consequences of big data-driven education. This chapter describes the regulatory framework governing student data, its neglect of learning analytics and educational data mining, and proactive approaches to privacy. It is less about conveying specific rules and more about relevant concerns and solutions. Traditional student privacy law focuses on ensuring that parents or schools approve disclosure of student information. They are designed, however, to apply to paper “education records,” not “student data.” As a result, they no longer provide meaningful oversight. The primary federal student privacy statute does not even impose direct consequences for noncompliance or cover “learner” data collected directly from students. Newer privacy protections are uncoordinated, often prohibiting specific practices to disastrous effect or trying to limit “commercial” use. These also neglect the nuanced ethical issues that exist even when big data serves educational purposes. I propose a proactive approach that goes beyond mere compliance and includes explicitly considering broader consequences and ethics, putting explicit review protocols in place, providing meaningful transparency, and ensuring algorithmic accountability. Export Citation: Plain Text (APA

importance of data discoverability: an informatics issue that was not considered by WWARN's designers in the initial phase, when it was assumed that access for external users would be limited to the summary data shown on the WWARN Explorer. Discoverability - the ability of potential outside users to find the data set and easily understand what it contains - is critical if the data are to be reused by any investigator with a legitimate research question that may be addressed by data held in the resource. WWARN took care to develop data management tools that included a full audit trail for the variables that they standardised.

OxTREC Reference: 593-16

protocol available at doi: 10.7910/DVN/V1TKIO20

Documents considered to be highly relevant by either investigator were processed as below.

wewillspecifydigitalacts—callings(demands,pressures,provocations),closings(tensions,conflicts,disputes),andopenings(opportunities,possibilities,beginnings)—aswaysofconductingourselvesthroughtheInternetanddiscusshowthesebringcyberspaceintobeing

Deleuzethinksthat,bycontrast,incontrolsocieties‘thekeythingisnolongerasignatureornumberbutacode:codesarepasswords,whereasdisciplinarysocietiesareruled...byprecepts.’[67]Heobservesthat‘thedigitallanguageofcontrolismadeupofcodesindicatingwhetheraccesstosomeinformationshouldbeallowedordenied.’[68]ForDeleuze,controlsocietiesfunctionwithanewgenerationofmachinesandwithinformationtechnologyandcomputers.Forcontrolsocieties,‘thepassivedangerisnoiseandtheactive[dangersare]piracyandviralcontamination.

Wehaveidentifiedthisasthecontradictionbetweensubmissionandsubversionorconsentanddissent.JacquesRancièrecapturesthisasdissensus.[27]Wewillreturntodissensusinchapter7.Second,whilearticulatingaparticulardemand(forinclusion,recognition),performingcitizenshipenactsauniversalrighttoclaimrights.Thisisthecontradictionbetweentheuniversalismandparticularismofcitizenship.

Ifmakingrightsclaimsisperformative,itfollowsthattheserightsareneitherfixednorguaranteed:theyneedtoberepeatedlyperformed.Theircomingintobeingandremainingeffectiverequiresperformativity.Theperformativeforceofcitizenshipremindsusthatthefigureofthecitizenhastobebroughtintobeingrepeatedlythroughacts(repertoires,declarations,andproclamations)andconventions(rituals,customs,practices,traditions,laws,institutions,technologies,andprotocols).Withouttheperformanceofrights,thefigureofthecitizenwouldmerelyexistintheoryandwouldhavenomeaningindemocraticpolitics.

Givenitspervasivenessandomnipresence,avoidingorshunningcyberspaceisasdystopianasquittingsocialspace;itisalsocertainthatconductingourselvesincyberspacerequires,asmanyactivistsandscholarshavewarned,intensecriticalvigilance.Sincetherecannotbegenericoruniversalanswerstohowweconductourselves,moreorlesseveryincipientorexistingpoliticalsubjectneedstoaskinwhatwaysitisbeingcalleduponandsubjectifiedthroughcyberspace.Inotherwords,toreturnagaintotheconceptualapparatusofthisbook,thekindsofcitizensubjectscyberspacecultivatesarenothomogenousanduniversalbutfragmented,multiple,andagonistic.Atthesametime,thefigureofacitizenyettocomeisnotinevitable;whilecyberspaceisafragileandprecariousspace,italsoaffordsopenings,momentswhenthinking,speaking,andactingdifferentlybecomepossiblebychallengingandresignifyingitsconventions.Thesearethemomentsthatwehighlighttoarguethatdigitalrightsarenotonlyaprojectofinscriptionsbutalsoenactment.

whenweconsiderTwitter,forinstance,wecanask:Howdoconventionssuchasmicrobloggingplatformsconfigureactionsandcreatepossibilitiesfordigitalcitizenstoact?

Butthefigureofcyberspaceisalsoabsentincitizenship

First,bybringingthepoliticalsubjecttothecentreofconcern,weinterferewithdeterministanalysesoftheInternetandhyperbolicassertionsaboutitsimpactthatimaginesubjectsaspassivedatasubjects.Instead,weattendtohowpoliticalsubjectivitiesarealwaysperformedinrelationtosociotechnicalarrangementstothenthinkabouthowtheyarebroughtintobeingthroughtheInternet.[13]WealsointerferewithlibertariananalysesoftheInternetandtheirhyperbolicassertionsofsovereignsubjects.Wecontendthatifweshiftouranalysisfromhowwearebeing‘controlled’(asbothdeterministandlibertarianviewsagree)tothecomplexitiesof‘acting’—byforegroundingcitizensubjectsnotinisolationbutinrelationtothearrangementsofwhichtheyareapart—wecanidentifywaysofbeingnotsimplyobedientandsubmissivebutalsosubversive.Whileusuallyreservedforhigh-profilehacktivistsandwhistle-blowers,weask,howdosubjectsactinwaysthattransgresstheexpectationsofandgobeyondspecificconventionsandindoingsomakerightsclaimsabouthowtoconductthemselvesasdigitalcitizens

Coexisting, but rarely (if ever touching).

In fact, it has been argued that the networks that offer the sort of social capital that could transition into economic capital are insular, and quite hard to become a part of. 

of belonging to those who may otherwise feel isolated.  Transgender teenagers, for example, are able to find support and understanding

remote connections comprise a social network that offers a degree of social capital without some of the demands that go along with social networks in closer quarters.

We do not rely on neighbors and geographically convenient groups and organizations to piece together our social networks as heavily as we once did. 

enterprise-wide systems that gather and analyze data to help institutions improve their performance and student outcomes.

We found that data citations appear in the references section of an article less frequently than in the main text, making it difficult to identify the reward and credit for data authors (i.e. data sharers). Consistent data citation formats could not be found. Current data citation practices do not (yet) benefit data sharers.

Genetics and Heredity is the top field with almost 2.3 million records (representing public datasets, software, data studies, and data repositories).

Given that researchers benefit from publicly shared data through data reuse in their own research, researchers who provide access to data should be acknowledged for their contributions, much in the same way that authors are recognized for their research publications through citation. Researchers who use shared data or other shared research products (e.g. open access software, tissue cultures) should also acknowledge the providers of these resources through formal citation. At present, data citation is not widely practiced in most disciplines and as an object of study remains largely overlooked.

Third, the space acted as a recruitment tool for participants and served as a source of solidarity as members rallied around the space. This emphasis on actively inviting new members drew attention to the group's latent desire for open-access, a radical shift from the often insular nature of hacker culture.

The most important shift in learning during this period was members' relationship to knowledge. GeekSpace attempted to democratize hacking and move towards a more inclusive model. This stands in contrast to Jean Burgess' observation that hacking "as an ideal, permits rational mastery ... but in reality, it is only the technical avant-garde (like computer scientists or hacker subcultures) who achieve this mastery" (Burgess, 2012, p. 30). Individualized encounters with software gave way to making and hardware tinkering where users learned by doing (Rosenberg, 1982). Collaborative work in the space took place in small groups clustered around a project, or the projects were passed from person to person to solve specific problems. The frustrations members had with the first phase of the space organically shifted to a set of practices based in materials, routines, and projects. "Collaboration on ideas and [their] physical manifestations," in the words of a GeekSpace director, is "how you tell somebody's part of the community."

Coleman (2010) asserts that previous literature such as Taylor's "fails to substantially address (and sometimes even barely acknowledge) is the existence and growing importance of face-to-face interactions" (p. 48). For example, Vichot (2009) notes how communities of hackers that coalesce online use "real space" to gain visibility needed to accomplish their collective political goals.

The grassroots nature of HMSs provides a contrast to the less popular FabLabs (Gershenfeld, 2005), which operate as franchises that require expensive tools, and Computer Clubhouses (Kaf ai, Peppler, & Chapman, 2009), which are extensions of schools. Hacker and maker space backers such as Mitch Altman claim that hands-on interactions with technology enable a more flexible and personalized learning experience than an institutionalized curriculum (Baichtal, 2011 ).

We’re delighted to announce that the California Digital Library has been awarded a 2-year NSF EAGER grant to support active, machine-actionable data management plans (DMPs).

Textbook maker Pearson is also getting in on the action by developing adaptive learning software and launching virtual tutors for students as they “read” through digital textbook resources.

The president of the university requested the list of 26 names be on his desk the next day so he could take direct action to make sure they stay, Bell says. There it is. Instead of a helping hand for struggling students, imagine the outstretched fingers of a—better, faster, arguably more engaged—machine.

test

shining a light on the strengths they demonstrated.

I began meeting with each student individually, focusing on remediation that targeted their areas for growth based on the data for each domain.

We would enter the raw scores into a spreadsheet and send it to the department head at the end of the semester. No meetings, no discussions, no impact on instruction. Many of us were confused—this seemed more about compliance than helping students.

that can be daunting.

get the data needed to design instruction isn’t easy.

Signposting is an approach to make the scholarly web more friendly to machines. It uses Typed Links as a means to clarify patterns that occur repeatedly in scholarly portals. For resources of any media type, these typed links are provided in HTTP Link headers. For HTML resources, they are additionally provided in HTML link elements. Throughout this site, examples use the former approach.