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Data Quotes

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Data Quotes

“Es difícil de entender porque resulta contraintuitivo para los calores humanos de comprensión. La cantidad de data que se genera en un segundo, en el mundo actual es tan grande que la hemos dejado como algo incognoscible. Hemos asumido que se encuentra por fuera total de nuestro alcance o raciocinio. La hemos llamado destino, voluntad de Dios o suerte azarosa. Cuando en verdad, no hay nada en este universo librado al azar.”

DataDiosInteligencia ArtificialSuerteAzarNihilismo
Book:Polypticon, Part I: The Joint Political-Informatic Effort Project
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“Throughout this book I will refer to both sex and gender. By 'sex', I mean the biological characteristics that determine whether an individual is male or female , XX and XY. By 'gender', I mean the social meanings we impose upon those biological facts. The way women are treated because they are perceived to be female. One is man-made, but both are real and both have significant consequences for women as they navigate this world constructed on male data. But although I talk about both sex and gender throughout, I use 'Gender Data Gap' as an overarching term. Because sex is not the reason women are excluded from data - gender is”

ScienceDataSexismInclusionTransChromosomesBiological Sex
Book:Invisible Women: Data Bias in a World Designed for Men
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“One of the patterns from domain-driven design is called bounded context. Bounded contexts are used to set the logical boundaries of a domain’s solution space for better managing complexity. It’s important that teams understand which aspects, including data, they can change on their own and which are shared dependencies for which they need to coordinate with other teams to avoid breaking things. Setting boundaries helps teams and developers manage the dependencies more efficiently. The logical boundaries are typically explicit and enforced on areas with clear and higher cohesion. These domain dependencies can sit on different levels, such as specific parts of the application, processes, associated database designs, etc. The bounded context, we can conclude, is polymorphic and can be applied to many different viewpoints. Polymorphic means that the bounded context size and shape can vary based on viewpoint and surroundings. This also means you need to be explicit when using a bounded context; otherwise it remains pretty vague.”

DataData ManagementDomain Driven Design
Book:Data Management at Scale: Best Practices for Enterprise Architecture
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“We ought to regard the present state of the universe as the effect of its antecedent state and as the cause of the state that is to follow. An intelligence knowing all the forces acting in nature at a given instant, as well as the momentary positions of all things in the universe, would be able to comprehend in one single formula the motions of the largest bodies as well as the lightest atoms in the world, provided that its intellect were sufficiently powerful to subject all data to analysis; to it nothing would be uncertain, the future as well as the past would be present to its eyes. The perfection that the human mind has been able to give to astronomy affords but a feeble outline of such an intelligence.”

MindPastScienceTimeUniverseNatureSpacePerfectionIntelligencePhysicsAstronomyCertaintyDataAnalysisFree WillHuman MindEyesPresentComprehensionNaturalismDeterminismMotionOmniscienceFormulaLack Of Free Will
Author:Pierre Simon de Laplace
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“Although the designs of the trans and gender identity questions in the Scottish, English and Welsh census differ, they both attempt to navigate the same ambition: avoid use of the term ‘cis’. Other census questions, related to Identity characteristics, ask respondents to select the option to which they most closely identify. Questions require respondents to confirm an identity (for example, ‘I am white Scottish’) rather than negate an identity (for example, ‘I am not Scottish Indian’). The design of the trans and gender identity questions depart from this approach are they require the majority of respondents (those who identify as cis, estimated to be around 99 per cent of the population) to answer the way that negates and identity (‘I am not trans’). Ashley has noted how, in English, ‘currently, no word exists in our vocabulary for the broad category which includes being trans and being cis”

DataLgbtqTransCensus
Book:Queer Data: Using Gender, Sex and Sexuality Data for Action
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“You should be able to reconcile past events in a matter of seconds. However, if you do not know what is or has happened, you must take an offensive posture and actively seek out those agents and transactions based on multiple dimensions over time. This is the environment in which you will work and you must build a security model that can actively detect, monitor and pursue that activity.”

DataData ScienceData MiningFbi InvestigationInsider ThreatData SecurityData Analysis QuotesCyber IntelligenceKent Stern
Book:Obtaining Actionable Intelligence for CINDER Threat Detection using DMX Mining Models
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“One measure of a truly free society is the vigor with which it protects the liberties of its individual citizens. As technology has advanced in America, it has increasingly encroached on one of those liberties--what I term the right of personal privacy. Modern information systems, data banks, credit records, mailing list abuses, electronic snooping, the collection of personal data for one purpose that may be used for another--all these have left millions of Americans deeply concerned by the privacy they cherish. And the time has come, therefore, for a major initiative to define the nature and extent of the basic rights of privacy and to erect new safeguards to ensure that those rights are respected.”

LibertyTechnologyRecordsSocietyInformationCreditDataPrivacySnoopingAbuses
Book:State of the Union Addresses of Richard Nixon
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“Since the first satellites had been orbited, almost fifty years earlier, trillions and quadrillions of pulses of information had been pouring down from space, to be stored against the day when they might contribute to the advance of knowledge. Only a minute fraction of all this raw material would ever be processed; but there was no way of telling what observation some scientist might wish to consult, ten, or fifty, or a hundred years from now. So everything had to be kept on file, stacked in endless airconditioned galleries, triplicated at the [data] centers against the possibility of accidental loss. It was part of the real treasure of mankind, more valuable than all the gold locked uselessly away in bank vaults.”

DataArchivistsArchiveUnprocessed
Author:Arthur C. Clarke
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“Each data quality dimension captures a particular measurable aspect of data quality. In other words, the dimensions represent the views, benchmarks, or measures for data quality issues that can be understood, analysed, and resolved or minimized eventually.”

DataData QualityData Quality DimensionData Quality IssuesData Quality Measurement
Book:Data Quality: Dimensions, Measurement, Strategy, Management, and Governance
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“Beneath the facade of collaboration, certain governments will seek to exploit others for data resources. Data will emerge as the key asset that these governments will bring to the negotiation table. Mere possession of data, however, will prove insufficient as the absence of computational capabilities and expertise to derive value from the data will become apparent. Ultimately, a dilemma will arise: succumb to exploitation or face the inexorable reality, as the law of the jungle dictates the inevitability of domination or subjugation. Indeed, there exists no concept of a free meal.”

DataData The New OilEat Or Be EatenIn The Age Of Ai
Author:Dwayne Mulenga Isaac Jr
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“As long as museums and universities send out expeditions to bring to light new forms of living and extinct animals and new data illustrating the interrelations of organisms and their environments, as long as anatomists desire a broad comparative basis human for anatomy, as long as even a few students feel a strong curiosity to learn about the course of evolution and relationships of animals, the old problems of taxonomy, phylogeny and evolution will gradually reassert themselves even in competition with brilliant and highly fruitful laboratory studies in cytology, genetics and physiological chemistry.”

ScienceStudyEvolutionDataBiologyLaboratoryGeneticsAnatomyMuseumUniversitiesTaxonomyCytologyPhylogenyPhysiological Chemistry
Author:William King Gregory
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“More information means less ignorance and a greater chance of rational and better decisions and not those based on illusions, hope, preconceived notions or perceptions. The danger from so much data—there is no definition of what is optimum—is that there are chances of overanalysis or falling into a conspiracy theory trap.”

InformationClarityDataConspiracyData AnalysisIntelligence Operations
Book:The Unending Game: A Former R&AW Chief’s Insights into Espionage
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“Once, a leader convinced others to act in the absence of information. Today, there’s simply too much information available. We don’t need to guess—we need to know where to focus. We need a disciplined approach to growth that identifies, quantifies, and overcomes risk every step of the way. Today’s leader doesn’t have all the answers. Instead, today’s leader knows what questions to ask. Go forth and ask good questions.”

LeadershipInformationDataStartupsBusiness StrategyQuestions Are The AnswerData MiningData Driven Decisions
Book:Lean Analytics: Use Data to Build a Better Startup Faster
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“The beauty in the genome is of course that it's so small. The human genome is only on the order of a gigabyte of data...which is a tiny little database. If you take the entire living biosphere, that's the assemblage of 20 million species or so that constitute all the living creatures on the planet, and you have a genome for every species the total is still about one petabyte, that's a million gigabytes - that's still very small compared with Google or the Wikipedia and it's a database that you can easily put in a small room, easily transmit from one place to another. And somehow mother nature manages to create this incredible biosphere, to create this incredibly rich environment of animals and plants with this amazingly small amount of data.”

NatureWonderInformationDataBiologyAnimalsDnaPlantsBiodiversityGenomeBiosphereSequencingDna Sequencing
Author:Freeman Dyson
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“Perception requires imagination because the data people encounter in their lives are never complete and always equivocal. For example, most people consider that the greatest evidence of an event one can obtain is to see it with their own eyes, and in a court of law little is held in more esteem than eyewitness testimony. Yet if you asked to display for a court a video of the same quality as the unprocessed data catptured on the retina of a human eye, the judge might wonder what you were tryig to put over. For one thing, the view will have a blind spot where the optic nerve attaches to the retina. Moreover, the only part of our field of vision with good resolution is a narrow area of about 1 degree of visual angle around the retina’s center, an area the width of our thumb as it looks when held at arm’s length. Outside that region, resolution drops off sharply. To compensate, we constantly move our eyes to bring the sharper region to bear on different portions of the scene we wish to observe. And so the pattern of raw data sent to the brain is a shaky, badly pixilated picture with a hole in it. Fortunately the brain processes the data, combining input from both eyes, filling in gaps on the assumption that the visual properties of neighboring locations are similar and interpolating. The result - at least until age, injury, disease, or an excess of mai tais takes its toll - is a happy human being suffering from the compelling illusion that his or her vision is sharp and clear. We also use our imagination and take shortcuts to fill gaps in patterns of nonvisual data. As with visual input, we draw conclusions and make judgments based on uncertain and incomplete information, and we conclude, when we are done analyzing the patterns, that out “picture” is clear and accurate. But is it?”

RealityPerceptionDataEyes
Book:The Drunkard's Walk: How Randomness Rules Our Lives
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“Do you need more data? Do not assume the need for more data -- enough evidence of a problem might already exist to justify the need for action. Also explore who is already engaged in data practices on the topic to see if resources could support existing initiatives rather than create something afresh. The collection, analysis and use of data are resource-intensive. Before work begins, you therefore need to ask if this is the best use of time, resources and energy to address injustices that face LGBTQ people.”

ActivismDataLgbtqData Analysis
Book:Queer Data: Using Gender, Sex and Sexuality Data for Action
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“Do you elevate LGBTQ lives and critically examine the invisibility of majority characteristics? One of data’s strengths is its power to tell stories, which can shifts hearts and minds and encourage others to take action. However, increased visibility alone is not enough. A queer approach also problematizes the distinction between the center and the margins so the invisibility of majority identity characteristics, such as cis and heterosexual, are brought into focus and critically examined.”

ActivismDataLgbtqData Analysis
Book:Queer Data: Using Gender, Sex and Sexuality Data for Action
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“Are your ways of working open, accessible and transparent? Traditional approaches to quantitative data collection and analysis are misunderstood as an objective account of reality; an assumption that masks decisions made throughout the design process. A queer approach to data is also influenced by biases and assumptions; those engaged in queer data practices therefore need to describe how decisions are made, in accessible language, and its effect on the results presented. Openness about the limitations of data helps ensure that an undercount or misrepresentation of data about LGBTQ people is not used undermine political and social advances.”

ActivismDataLgbtqData Analysis
Book:Queer Data: Using Gender, Sex and Sexuality Data for Action
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“Are damaging data practices and systems capable of reform? Re-evaluate your relationship to data and assess whether existing practices and systems are capable of reform. If reform seems possible, question who is best placed undertake this work. When reform fails, or efforts to reform risk keeping a damaging system alive for longer, consider if an abolitionist approach might put data in the hands of those most in need.”

ActivismDataLgbtqData Analysis
Book:Queer Data: Using Gender, Sex and Sexuality Data for Action
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“The aggregation of LGBTQ groups offers a response to when small numbers is used as an excuse for an action. however, if research is conducted into the experiences of LGBTQ people, and the number of cases is smaller than anticipated, organizations might also use data to Halt initiatives or cut funding. small numbers therefore presents multiple dangers for the analysis of data about LGBTQ people.”

ActivismDataLgbtq
Book:Queer Data: Using Gender, Sex and Sexuality Data for Action
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“Gilborn et al. have described how the provision of too few ethnic categories [too much lumping] produces meaningless results but the provision of too many categories [too much splitting] can be almost as bad. … [with too few people in each category] the school reported no significant difference in attainment between ethnic groups.”

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Book:Queer Data: Using Gender, Sex and Sexuality Data for Action
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