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    36c3-wikipakawg

    Explore "36c3-wikipakawg" with insightful episodes like "Code for Germany. Gute Taten mit offenen Daten (36c3)", "Code for Germany. Gute Taten mit offenen Daten (36c3)", "Reading politics of the supposedly neutral (36c3)", "Reading politics of the supposedly neutral (36c3)" and "Reading politics of the supposedly neutral (36c3)" from podcasts like ""Chaos Computer Club - archive feed", "Chaos Computer Club - archive feed (high quality)", "Chaos Computer Club - archive feed (high quality)", "Chaos Computer Club - archive feed" and "Chaos Computer Club - 36C3: Resource Exhaustion (high quality mp4)"" and more!

    Episodes (57)

    Code for Germany. Gute Taten mit offenen Daten (36c3)

    Code for Germany. Gute Taten mit offenen Daten (36c3)
    Seit fünf Jahren setzen sich innerhalb des Netzwerks [„Code for Germany“](https://codefor.de) in ganz Deutschland rund 300 Ehrenamtliche für offene Daten ein und bauen damit Anwendungen für alle. Auch 2019 ist bei uns einiges passiert, was wir euch hier vorstellen wollen. Wir haben uns beispielsweise mit Daten zu Umwelt, Politik und jeder Menge Kartenmaterial beschäftigt und viele neue Projekte am Start. Manche glänzen schon richtig, andere suchen noch Unterstützung. Im Talk erklären wir, was offene Daten eigentlich sind, was man daraus bauen kann und wie man bei uns mitmachen kann. [Code for Germany](https://codefor.de) ist ein Netzwerk von Gruppen ehrenamtlich engagierter Freiwilliger. Wir nutzen unsere Fähigkeiten, um unsere Städte und das gesellschaftliche Miteinander positiv zu gestalten. Wir setzen uns für mehr Transparenz, Offene Daten und Partizipation in unseren Städten ein. Wir vermitteln insbesondere zwischen Zivilgesellschaft, Verwaltung und Politik und nutzen unsere Fähigkeiten, um die Kommunikation zwischen diesen zu verbessern und notwendige Impulse zu setzen, damit die Möglichkeiten der offenen und freien Digitalisierung so vielen Menschen wie möglich zugute kommen. about this event: https://cfp.verschwoerhaus.de/36c3/talk/EGBN8W/

    Code for Germany. Gute Taten mit offenen Daten (36c3)

    Code for Germany. Gute Taten mit offenen Daten (36c3)
    Seit fünf Jahren setzen sich innerhalb des Netzwerks [„Code for Germany“](https://codefor.de) in ganz Deutschland rund 300 Ehrenamtliche für offene Daten ein und bauen damit Anwendungen für alle. Auch 2019 ist bei uns einiges passiert, was wir euch hier vorstellen wollen. Wir haben uns beispielsweise mit Daten zu Umwelt, Politik und jeder Menge Kartenmaterial beschäftigt und viele neue Projekte am Start. Manche glänzen schon richtig, andere suchen noch Unterstützung. Im Talk erklären wir, was offene Daten eigentlich sind, was man daraus bauen kann und wie man bei uns mitmachen kann. [Code for Germany](https://codefor.de) ist ein Netzwerk von Gruppen ehrenamtlich engagierter Freiwilliger. Wir nutzen unsere Fähigkeiten, um unsere Städte und das gesellschaftliche Miteinander positiv zu gestalten. Wir setzen uns für mehr Transparenz, Offene Daten und Partizipation in unseren Städten ein. Wir vermitteln insbesondere zwischen Zivilgesellschaft, Verwaltung und Politik und nutzen unsere Fähigkeiten, um die Kommunikation zwischen diesen zu verbessern und notwendige Impulse zu setzen, damit die Möglichkeiten der offenen und freien Digitalisierung so vielen Menschen wie möglich zugute kommen. about this event: https://cfp.verschwoerhaus.de/36c3/talk/EGBN8W/

    Reading politics of the supposedly neutral (36c3)

    Reading politics of the supposedly neutral (36c3)
    Algorithms bear the image of their makers, and toil like their servants. Technology of any sort cannot be neutral, as it is embedded in a social matrix of why it was created and what work it performs. An algorithm, its context, and what it lacks should be understood as a political statement carrying great consequences, and as a society we should respond to each as needed, engaging the purveyors of these algorithms on a political level as well as legal and economic. Three algorithmic systems are revealed to embody various class interests. First, a population ecology modeled simply by a pair of predator-prey equations leads one to conclude that socialist revolution and compulsory leisure are the only routes to avoiding civilizational collapse. Second, a formula for labor supply reduces us to lazy drones who work as little as possible to support our choice of lifestyle. Finally, advertising on Wikipedia could yield a multi-billion-dollar fortune—shall we put it up for sale or double-down on radical equality among all people? (1) The [Human and Nature Dynamics](https://www.sciencedirect.com/science/article/pii/S0921800914000615) (HANDY) model is the first to pair environmental resource consumption with class conflict, each as a predator-prey cycle. In one cycle we overrun and out-eat the other species on Earth, who grow back slowly, and in the other cycle elites out-compete commoners in their consumption, to the point of even causing commoners to die of hunger. One can say that socialist revolution is embedded in a statement like this. Indeed, something must be done about the growing power of over-consuming elites before they doom us all. I will give a tour using this [interactive explorer](https://adamwight.github.io/handy-explorer/). (2) A second example is a run-of-the-mill, capitalist formula for labor supply, to explain our collective decision to go to work in the morning. Loosely, it is to`optimize(Consumption, hours worked)` for the constraint `Consumption ≤ wage x hours + entitlement`. In other words, this formula assumes we are lazy, greedy, individual agents, each motivated only by obtaining the greatest comfort for the least labor. The worker who internalizes this formula will fight for fewer hours of work and higher wages for themself, will find shortcuts to spend less money to increase purchasing power, and in this idealized world can be expected to vote in favor of social democratic minimum incomes. A company following this formula, on the other hand, will fight against all of these worker gains, and will act to depress government welfare or minimum incomes until workers are on the edge of starvation in order to squeeze longer hours out of them. What's missing from this formula is, all the ways out of the trap. Mutual aid and connections among ourselves to protect the most vulnerable individuals, pooling resources, and any other motivation to work besides mortal fear and hedonism.—One can easily imagine a radically different paradigm for work, in which labor is dignified and fulfilling. To understand this world in formulas, labor supply is measured in education levels, self-direction, and other positive feedback loops which raise productivity. (3) Wikipedia and its sister projects have never worn the shackles of paid advertising, although they sit on a potential fountain of revenue in the tens of billions of dollars per year—not to mention the value of the influence over public opinion that such a propaganda machine might achieve. `Revenue = Ads per visit x Visits` Analyzed venally, Wikipedia becomes an appealing portfolio acquisition, which would jeopardize the entire free-open movement. From a different perspective, that of an organizer in an editor’s association, slicing pageview and (non)-advertising data might allow for more effective resource-sharing among the many chapter organizations. In a third analysis using a flow of labor, power, and funds, we can see the Wikimedia Foundation as engaged in illegitimate expropriation, turning editors into sharecroppers and suppressing decentralized growth. These twists all come about through variations on an equation. Which shall we choose? about this event: https://cfp.verschwoerhaus.de/36c3/talk/TNSGB8/

    Reading politics of the supposedly neutral (36c3)

    Reading politics of the supposedly neutral (36c3)
    Algorithms bear the image of their makers, and toil like their servants. Technology of any sort cannot be neutral, as it is embedded in a social matrix of why it was created and what work it performs. An algorithm, its context, and what it lacks should be understood as a political statement carrying great consequences, and as a society we should respond to each as needed, engaging the purveyors of these algorithms on a political level as well as legal and economic. Three algorithmic systems are revealed to embody various class interests. First, a population ecology modeled simply by a pair of predator-prey equations leads one to conclude that socialist revolution and compulsory leisure are the only routes to avoiding civilizational collapse. Second, a formula for labor supply reduces us to lazy drones who work as little as possible to support our choice of lifestyle. Finally, advertising on Wikipedia could yield a multi-billion-dollar fortune—shall we put it up for sale or double-down on radical equality among all people? (1) The [Human and Nature Dynamics](https://www.sciencedirect.com/science/article/pii/S0921800914000615) (HANDY) model is the first to pair environmental resource consumption with class conflict, each as a predator-prey cycle. In one cycle we overrun and out-eat the other species on Earth, who grow back slowly, and in the other cycle elites out-compete commoners in their consumption, to the point of even causing commoners to die of hunger. One can say that socialist revolution is embedded in a statement like this. Indeed, something must be done about the growing power of over-consuming elites before they doom us all. I will give a tour using this [interactive explorer](https://adamwight.github.io/handy-explorer/). (2) A second example is a run-of-the-mill, capitalist formula for labor supply, to explain our collective decision to go to work in the morning. Loosely, it is to`optimize(Consumption, hours worked)` for the constraint `Consumption ≤ wage x hours + entitlement`. In other words, this formula assumes we are lazy, greedy, individual agents, each motivated only by obtaining the greatest comfort for the least labor. The worker who internalizes this formula will fight for fewer hours of work and higher wages for themself, will find shortcuts to spend less money to increase purchasing power, and in this idealized world can be expected to vote in favor of social democratic minimum incomes. A company following this formula, on the other hand, will fight against all of these worker gains, and will act to depress government welfare or minimum incomes until workers are on the edge of starvation in order to squeeze longer hours out of them. What's missing from this formula is, all the ways out of the trap. Mutual aid and connections among ourselves to protect the most vulnerable individuals, pooling resources, and any other motivation to work besides mortal fear and hedonism.—One can easily imagine a radically different paradigm for work, in which labor is dignified and fulfilling. To understand this world in formulas, labor supply is measured in education levels, self-direction, and other positive feedback loops which raise productivity. (3) Wikipedia and its sister projects have never worn the shackles of paid advertising, although they sit on a potential fountain of revenue in the tens of billions of dollars per year—not to mention the value of the influence over public opinion that such a propaganda machine might achieve. `Revenue = Ads per visit x Visits` Analyzed venally, Wikipedia becomes an appealing portfolio acquisition, which would jeopardize the entire free-open movement. From a different perspective, that of an organizer in an editor’s association, slicing pageview and (non)-advertising data might allow for more effective resource-sharing among the many chapter organizations. In a third analysis using a flow of labor, power, and funds, we can see the Wikimedia Foundation as engaged in illegitimate expropriation, turning editors into sharecroppers and suppressing decentralized growth. These twists all come about through variations on an equation. Which shall we choose? about this event: https://cfp.verschwoerhaus.de/36c3/talk/TNSGB8/

    Reading politics of the supposedly neutral (36c3)

    Reading politics of the supposedly neutral (36c3)
    Algorithms bear the image of their makers, and toil like their servants. Technology of any sort cannot be neutral, as it is embedded in a social matrix of why it was created and what work it performs. An algorithm, its context, and what it lacks should be understood as a political statement carrying great consequences, and as a society we should respond to each as needed, engaging the purveyors of these algorithms on a political level as well as legal and economic. Three algorithmic systems are revealed to embody various class interests. First, a population ecology modeled simply by a pair of predator-prey equations leads one to conclude that socialist revolution and compulsory leisure are the only routes to avoiding civilizational collapse. Second, a formula for labor supply reduces us to lazy drones who work as little as possible to support our choice of lifestyle. Finally, advertising on Wikipedia could yield a multi-billion-dollar fortune—shall we put it up for sale or double-down on radical equality among all people? (1) The [Human and Nature Dynamics](https://www.sciencedirect.com/science/article/pii/S0921800914000615) (HANDY) model is the first to pair environmental resource consumption with class conflict, each as a predator-prey cycle. In one cycle we overrun and out-eat the other species on Earth, who grow back slowly, and in the other cycle elites out-compete commoners in their consumption, to the point of even causing commoners to die of hunger. One can say that socialist revolution is embedded in a statement like this. Indeed, something must be done about the growing power of over-consuming elites before they doom us all. I will give a tour using this [interactive explorer](https://adamwight.github.io/handy-explorer/). (2) A second example is a run-of-the-mill, capitalist formula for labor supply, to explain our collective decision to go to work in the morning. Loosely, it is to`optimize(Consumption, hours worked)` for the constraint `Consumption ≤ wage x hours + entitlement`. In other words, this formula assumes we are lazy, greedy, individual agents, each motivated only by obtaining the greatest comfort for the least labor. The worker who internalizes this formula will fight for fewer hours of work and higher wages for themself, will find shortcuts to spend less money to increase purchasing power, and in this idealized world can be expected to vote in favor of social democratic minimum incomes. A company following this formula, on the other hand, will fight against all of these worker gains, and will act to depress government welfare or minimum incomes until workers are on the edge of starvation in order to squeeze longer hours out of them. What's missing from this formula is, all the ways out of the trap. Mutual aid and connections among ourselves to protect the most vulnerable individuals, pooling resources, and any other motivation to work besides mortal fear and hedonism.—One can easily imagine a radically different paradigm for work, in which labor is dignified and fulfilling. To understand this world in formulas, labor supply is measured in education levels, self-direction, and other positive feedback loops which raise productivity. (3) Wikipedia and its sister projects have never worn the shackles of paid advertising, although they sit on a potential fountain of revenue in the tens of billions of dollars per year—not to mention the value of the influence over public opinion that such a propaganda machine might achieve. `Revenue = Ads per visit x Visits` Analyzed venally, Wikipedia becomes an appealing portfolio acquisition, which would jeopardize the entire free-open movement. From a different perspective, that of an organizer in an editor’s association, slicing pageview and (non)-advertising data might allow for more effective resource-sharing among the many chapter organizations. In a third analysis using a flow of labor, power, and funds, we can see the Wikimedia Foundation as engaged in illegitimate expropriation, turning editors into sharecroppers and suppressing decentralized growth. These twists all come about through variations on an equation. Which shall we choose? about this event: https://cfp.verschwoerhaus.de/36c3/talk/TNSGB8/

    Wikimedia Cloud Services introduction (36c3)

    Wikimedia Cloud Services introduction (36c3)
    Find out what kind of free services Wikimedia provides for you. Wikimedia Cloud Services is a collection of services that the Wikimedia Foundation offers, free of charge, to anyone who can use them for furthering the goals of the Wikimedia movement. This includes Toolforge, a hosting service for tools written in various languages; Cloud VPS, full virtual private servers for advanced development beyond the capabilities of Toolforge; convenient access to Wikimedia project data; and more! Link and other useful information: https://www.wikidata.org/wiki/User:Lucas_Werkmeister/36c3-wmcs-intro about this event: https://cfp.verschwoerhaus.de/36c3/talk/ENN7EF/

    Wikimedia Cloud Services introduction (36c3)

    Wikimedia Cloud Services introduction (36c3)
    Find out what kind of free services Wikimedia provides for you. Wikimedia Cloud Services is a collection of services that the Wikimedia Foundation offers, free of charge, to anyone who can use them for furthering the goals of the Wikimedia movement. This includes Toolforge, a hosting service for tools written in various languages; Cloud VPS, full virtual private servers for advanced development beyond the capabilities of Toolforge; convenient access to Wikimedia project data; and more! Link and other useful information: https://www.wikidata.org/wiki/User:Lucas_Werkmeister/36c3-wmcs-intro about this event: https://cfp.verschwoerhaus.de/36c3/talk/ENN7EF/

    Wikimedia Cloud Services introduction (36c3)

    Wikimedia Cloud Services introduction (36c3)
    Find out what kind of free services Wikimedia provides for you. Wikimedia Cloud Services is a collection of services that the Wikimedia Foundation offers, free of charge, to anyone who can use them for furthering the goals of the Wikimedia movement. This includes Toolforge, a hosting service for tools written in various languages; Cloud VPS, full virtual private servers for advanced development beyond the capabilities of Toolforge; convenient access to Wikimedia project data; and more! Link and other useful information: https://www.wikidata.org/wiki/User:Lucas_Werkmeister/36c3-wmcs-intro about this event: https://cfp.verschwoerhaus.de/36c3/talk/ENN7EF/

    KDE Itinerary - A privacy by design travel assistant (36c3)

    KDE Itinerary - A privacy by design travel assistant (36c3)
    Getting your itinerary presented in a unified, well structured and always up to date fashion rather than as advertisement overloaded HTML emails or via countless vendor apps has become a standard feature of digital assistants such as the Google platform. While very useful and convenient, it comes at a heavy privacy cost. Besides sensitive information such as passport or credit card numbers, the correlation of travel data from a large pool of users exposes a lot about people's work, interests and relationships. Just not using such services is one way to escape this, or we build a privacy-respecting alternative ourselves! Standing on the shoulders of KDE, Wikidata, Navitia, OpenStreetMap and a few other FOSS communities we have been exploring what it would take to to build a free and privacy-respecting travel assistant during the past two years, resulting in a number of building blocks and the "KDE Itinerary" application. In this talk we will look at what has been built, and how, and what can be done with this now. In particular we will review the different types of data digital travel assistants rely on, where we can get those from, and at what impact for your privacy. The most obvious data source are your personal booking information. Extracting data from reservation documents is possible from a number of different input formats, such as emails, PDF files or Apple Wallet passes, considering structured annotations and barcodes, but also by using vendor-specific extractors for unstructured data. All of this is done locally on your own devices, without any online access. Reservation data is then augmented from open data sources such as Wikidata and OpenStreetMap to fill in often missing but crucial information such as timezones or geo coordinates of departure and arrival locations. And finally we need realtime traffic data as well, such as provided by Navitia as Open Data for ground-based transport. Should the author fail to show up to this presentation it might be that his Deutsche Bahn ticket rendering code still needs a few bugfixes ;-) about this event: https://cfp.verschwoerhaus.de/36c3/talk/MH3WTA/

    KDE Itinerary - A privacy by design travel assistant (36c3)

    KDE Itinerary - A privacy by design travel assistant (36c3)
    Getting your itinerary presented in a unified, well structured and always up to date fashion rather than as advertisement overloaded HTML emails or via countless vendor apps has become a standard feature of digital assistants such as the Google platform. While very useful and convenient, it comes at a heavy privacy cost. Besides sensitive information such as passport or credit card numbers, the correlation of travel data from a large pool of users exposes a lot about people's work, interests and relationships. Just not using such services is one way to escape this, or we build a privacy-respecting alternative ourselves! Standing on the shoulders of KDE, Wikidata, Navitia, OpenStreetMap and a few other FOSS communities we have been exploring what it would take to to build a free and privacy-respecting travel assistant during the past two years, resulting in a number of building blocks and the "KDE Itinerary" application. In this talk we will look at what has been built, and how, and what can be done with this now. In particular we will review the different types of data digital travel assistants rely on, where we can get those from, and at what impact for your privacy. The most obvious data source are your personal booking information. Extracting data from reservation documents is possible from a number of different input formats, such as emails, PDF files or Apple Wallet passes, considering structured annotations and barcodes, but also by using vendor-specific extractors for unstructured data. All of this is done locally on your own devices, without any online access. Reservation data is then augmented from open data sources such as Wikidata and OpenStreetMap to fill in often missing but crucial information such as timezones or geo coordinates of departure and arrival locations. And finally we need realtime traffic data as well, such as provided by Navitia as Open Data for ground-based transport. Should the author fail to show up to this presentation it might be that his Deutsche Bahn ticket rendering code still needs a few bugfixes ;-) about this event: https://cfp.verschwoerhaus.de/36c3/talk/MH3WTA/

    KDE Itinerary - A privacy by design travel assistant (36c3)

    KDE Itinerary - A privacy by design travel assistant (36c3)
    Getting your itinerary presented in a unified, well structured and always up to date fashion rather than as advertisement overloaded HTML emails or via countless vendor apps has become a standard feature of digital assistants such as the Google platform. While very useful and convenient, it comes at a heavy privacy cost. Besides sensitive information such as passport or credit card numbers, the correlation of travel data from a large pool of users exposes a lot about people's work, interests and relationships. Just not using such services is one way to escape this, or we build a privacy-respecting alternative ourselves! Standing on the shoulders of KDE, Wikidata, Navitia, OpenStreetMap and a few other FOSS communities we have been exploring what it would take to to build a free and privacy-respecting travel assistant during the past two years, resulting in a number of building blocks and the "KDE Itinerary" application. In this talk we will look at what has been built, and how, and what can be done with this now. In particular we will review the different types of data digital travel assistants rely on, where we can get those from, and at what impact for your privacy. The most obvious data source are your personal booking information. Extracting data from reservation documents is possible from a number of different input formats, such as emails, PDF files or Apple Wallet passes, considering structured annotations and barcodes, but also by using vendor-specific extractors for unstructured data. All of this is done locally on your own devices, without any online access. Reservation data is then augmented from open data sources such as Wikidata and OpenStreetMap to fill in often missing but crucial information such as timezones or geo coordinates of departure and arrival locations. And finally we need realtime traffic data as well, such as provided by Navitia as Open Data for ground-based transport. Should the author fail to show up to this presentation it might be that his Deutsche Bahn ticket rendering code still needs a few bugfixes ;-) about this event: https://cfp.verschwoerhaus.de/36c3/talk/MH3WTA/

    Live querying: let’s explore Wikidata together! (36c3)

    Live querying: let’s explore Wikidata together! (36c3)

    You can find a lot of interesting, useful or amusing information on Wikidata – let’s spend half an hour writing some queries together! This will be an interactive session to explore the possibilities of Wikidata, the free knowledge base, and its query service. Participants can suggest queries, and I’ll do my best to implement them.

    about this event: https://cfp.verschwoerhaus.de/36c3/talk/VN8MEQ/

    Live querying: let’s explore Wikidata together! (36c3)

    Live querying: let’s explore Wikidata together! (36c3)

    You can find a lot of interesting, useful or amusing information on Wikidata – let’s spend half an hour writing some queries together! This will be an interactive session to explore the possibilities of Wikidata, the free knowledge base, and its query service. Participants can suggest queries, and I’ll do my best to implement them.

    about this event: https://cfp.verschwoerhaus.de/36c3/talk/VN8MEQ/

    Live querying: let’s explore Wikidata together! (36c3)

    Live querying: let’s explore Wikidata together! (36c3)

    You can find a lot of interesting, useful or amusing information on Wikidata – let’s spend half an hour writing some queries together! This will be an interactive session to explore the possibilities of Wikidata, the free knowledge base, and its query service. Participants can suggest queries, and I’ll do my best to implement them.

    about this event: https://cfp.verschwoerhaus.de/36c3/talk/VN8MEQ/

    Querying Linked Data with SPARQL and the Wikidata Query Service (36c3)

    Querying Linked Data with SPARQL and the Wikidata Query Service (36c3)
    An introduction to querying linked data, using the SPARQL query language and the free knowledge base Wikidata. Which films starred more than one future head of government? What’s the largest city with a female mayor? And when did women finally outnumber Johns in the House of Commons? These are the kinds of questions that **linked data** can answer. This workshop will give an introduction to the SPARQL query language, showing how it can be used to answer these and other questions, using the free knowledge base **Wikidata** as the data source. about this event: https://cfp.verschwoerhaus.de/36c3/talk/AMPBFW/

    Querying Linked Data with SPARQL and the Wikidata Query Service (36c3)

    Querying Linked Data with SPARQL and the Wikidata Query Service (36c3)
    An introduction to querying linked data, using the SPARQL query language and the free knowledge base Wikidata. Which films starred more than one future head of government? What’s the largest city with a female mayor? And when did women finally outnumber Johns in the House of Commons? These are the kinds of questions that **linked data** can answer. This workshop will give an introduction to the SPARQL query language, showing how it can be used to answer these and other questions, using the free knowledge base **Wikidata** as the data source. about this event: https://cfp.verschwoerhaus.de/36c3/talk/AMPBFW/

    Querying Linked Data with SPARQL and the Wikidata Query Service (36c3)

    Querying Linked Data with SPARQL and the Wikidata Query Service (36c3)
    An introduction to querying linked data, using the SPARQL query language and the free knowledge base Wikidata. Which films starred more than one future head of government? What’s the largest city with a female mayor? And when did women finally outnumber Johns in the House of Commons? These are the kinds of questions that **linked data** can answer. This workshop will give an introduction to the SPARQL query language, showing how it can be used to answer these and other questions, using the free knowledge base **Wikidata** as the data source. about this event: https://cfp.verschwoerhaus.de/36c3/talk/AMPBFW/
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