El Vector (vector de conceptualización sociotécnica)
Espacio de pensamiento crítico en torno a las culturas, sociedades y políticas digitales.
Cambios en "Humanidad y tecnología: en torno al post/trans/humanismo. "
Título (Castellano)
- +Humanidad y tecnología: en torno al post/trans/humanismo
- +Humanidad y tecnología: en torno al post/trans/humanismo
- +Humanidad y tecnología: en torno al post/trans/humanismo
- +Humanidad y tecnología: en torno al post/trans/humanismo
Título (Català)
- +Gènere y tecnología: feminisme de dades
- +Gènere y tecnología: feminisme de dades
- +Gènere y tecnología: feminisme de dades
- +Gènere y tecnología: feminisme de dades
Descripción (Castellano)
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Desde la revolución industrial, las innovaciones tecnológicas han ido de la mano de una transformación acelerada de nuestras vidas y de los conceptos con los que pensamos qué y quiénes somos. En las últimas décadas, los avances en ámbitos como la biotecnología o las TIC han ido ligados al surgimiento de narrativas rivales en torno a las relaciones entre humanidad y tecnología. El “transhumanismo”, una visión abanderada por figuras de Silicon Valley como Ray Kurzweil, director de ingeniería en Google, o Elon Musk, ha defendido que debemos usar la tecnología para modificar nuestra constitución biológica y cognitiva hasta llegar a ser más que humanos. Más recientemente, el “humanismo tecnológico” ha subrayado una urgencia inversa, no la necesidad de tecnologizar lo humano sino la de humanizar la tecnología, introduciendo la ética y los valores del humanismo en su seno, para evitar que nos destruya. Esta segunda posición agrupa a figuras públicas que van desde algunos renegados de Silicon Valley a intelectuales locales como José María Lasalle, ex ministro del Partido Popular y autor de un título reciente sobre el tema.
Sin embargo, ambas posiciones resultan en visiones limitadas y limitantes de lo humano y de su relación con la tecnología (así como con otras esferas de la actividad humana), visiones sobre las que se trata de construir agendas político-económicas de medio y largo plazo. Mientras que el transhumanismo parece triunfar entre actores ligados a grandes empresas tecnológicas y fondos de inversión (particularmente, americanos), el humanismo tecnológico empieza a traducirse en estrategias de colaboración entre actores públicos, como el gobierno central y el Ayuntamiento de Barcelona, y actores privados, como los congregados cada año en torno al Mobile World Congress.
Al mismo tiempo, han proliferado lo que se ha denominado como “posthumanismos”, una constelación diversa que incluye posiciones críticas de la visión humanista de lo humano y su relación con las tecnologías, otros seres vivos y la realidad misma.
En esta segunda sesión del Vector de Conceptualización Sociotécnica abordaremos, de forma exploratoria, diversas narrativas en torno a las relaciones entre humanidad y tecnología. Lo haremos en tres pasos: en primer lugar, recorreremos hitos clave de la tradición humanista, de Terencio a Sartre; a continuación revisaremos los posicionamientos del transhumanismo y el humanismo tecnológico, que surgen y divergen de esa tradición; en tercer lugar, repasaremos y ensayaremos diferentes reflexiones sobre los posthumanismos.
Esta sesión tendrá dos aproximaciones fundamentales. En primer lugar, se hará un recorrido centrado en la historia de las ideas apoyado en la filosofía y los estudios de ciencia, tecnología y sociedad. En segundo lugar, se esbozará una crítica desde la economía política. El objetivo será explorar tanto algunos de los matices conceptuales de estas narrativas como sus dimensiones económicas y sociales.
Coordinador/a sesión: Antonio calleja-López
Estructura de la sesión
Exposición: 45’
Debate: 45’
La sesión tendrá lugar en castellano.
Habrá streaming disponible aqui.
- +<p>Desde la revolución industrial, las innovaciones tecnológicas han ido de la mano de una transformación acelerada de nuestras vidas y de los conceptos con los que pensamos qué y quiénes somos. En las últimas décadas, los avances en ámbitos como la biotecnología o las TIC han ido ligados al surgimiento de narrativas rivales en torno a las relaciones entre humanidad y tecnología. El “<strong>transhumanismo</strong>”, una visión abanderada por figuras de Silicon Valley como Ray Kurzweil, director de ingeniería en Google, o Elon Musk, ha defendido que <strong>debemos usar la tecnología</strong> para modificar nuestra constitución biológica y cognitiva <strong>hasta llegar a ser más que humanos</strong>. Más recientemente, el “<strong>humanismo tecnológico</strong>” ha subrayado una urgencia inversa, no la necesidad de tecnologizar lo humano sino la de humanizar la tecnología, introduciendo la ética y los valores del humanismo en su seno, <strong>para evitar que nos destruya</strong>. Esta segunda posición agrupa a figuras públicas que van desde algunos renegados de Silicon Valley a intelectuales locales como José María Lasalle, ex ministro del Partido Popular y autor de un título reciente sobre el tema. </p><p>Sin embargo, ambas posiciones resultan en <strong>visiones limitadas y limitantes</strong> <strong>de lo humano y de su relación con la tecnología</strong> (así como con otras esferas de la actividad humana), visiones sobre las que se trata de construir <strong>agendas político-económicas de medio y largo plazo</strong>. Mientras que el transhumanismo parece triunfar entre actores ligados a grandes empresas tecnológicas y fondos de inversión (particularmente, americanos), el humanismo tecnológico empieza a traducirse en estrategias de colaboración entre actores públicos, como el gobierno central y el Ayuntamiento de Barcelona, y actores privados, como los congregados cada año en torno al Mobile World Congress. </p><p>Al mismo tiempo, han proliferado lo que se ha denominado como “<strong>posthumanismos</strong>”, una constelación diversa que incluye posiciones críticas de la visión humanista de lo humano y su relación con las tecnologías, otros seres vivos y la realidad misma. </p><p>En esta segunda sesión del Vector de Conceptualización Sociotécnica abordaremos, de forma exploratoria, diversas narrativas en torno a las relaciones entre humanidad y tecnología. Lo haremos en tres pasos: en primer lugar, recorreremos hitos clave de la <strong>tradición humanista</strong>, de Terencio a Sartre; a continuación revisaremos los posicionamientos del transhumanismo y el humanismo tecnológico, que surgen y divergen de esa tradición; en tercer lugar, repasaremos y ensayaremos diferentes reflexiones sobre los <strong>posthumanismos</strong>. </p><p>Esta sesión tendrá dos aproximaciones fundamentales. En primer lugar, se hará un recorrido centrado en la <strong>historia de las ideas</strong> apoyado en la filosofía y los estudios de ciencia, tecnología y sociedad. En segundo lugar, se esbozará una crítica desde la <strong>economía política</strong>. El objetivo será explorar tanto algunos de los matices conceptuales de estas narrativas como sus dimensiones económicas y sociales.</p><p><strong>Coordinador/a sesión: </strong><a href="https://tecnopolitica.net/es/autor/antonio-calleja-lo%CC%81pez" target="_blank">Antonio calleja-López</a></p><p><strong>Estructura de la sesión </strong></p><p><strong>Exposición: 45’</strong></p><p><strong>Debate: 45’</strong></p><p><br></p><p><strong>La sesión tendrá lugar en castellano.</strong></p><p><br></p><p><br></p><p><br></p><iframe class="ql-video" allowfullscreen="true" src="https://www.youtube.com/embed/P5hUU-tknZs?showinfo=0" frameborder="0"></iframe><p><br></p><p><strong>Habrá streaming disponible </strong><a href="https://youtu.be/P5hUU-tknZs" target="_blank"><strong>aqui</strong></a><strong>.</strong></p>
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Desde la revolución industrial, las innovaciones tecnológicas han ido de la mano de una transformación acelerada de nuestras vidas y de los conceptos con los que pensamos qué y quiénes somos. En las últimas décadas, los avances en ámbitos como la biotecnología o las TIC han ido ligados al surgimiento de narrativas rivales en torno a las relaciones entre humanidad y tecnología. El “transhumanismo”, una visión abanderada por figuras de Silicon Valley como Ray Kurzweil, director de ingeniería en Google, o Elon Musk, ha defendido que debemos usar la tecnología para modificar nuestra constitución biológica y cognitiva hasta llegar a ser más que humanos. Más recientemente, el “humanismo tecnológico” ha subrayado una urgencia inversa, no la necesidad de tecnologizar lo humano sino la de humanizar la tecnología, introduciendo la ética y los valores del humanismo en su seno, para evitar que nos destruya. Esta segunda posición agrupa a figuras públicas que van desde algunos renegados de Silicon Valley a intelectuales locales como José María Lasalle, ex ministro del Partido Popular y autor de un título reciente sobre el tema.
Sin embargo, ambas posiciones resultan en visiones limitadas y limitantes de lo humano y de su relación con la tecnología (así como con otras esferas de la actividad humana), visiones sobre las que se trata de construir agendas político-económicas de medio y largo plazo. Mientras que el transhumanismo parece triunfar entre actores ligados a grandes empresas tecnológicas y fondos de inversión (particularmente, americanos), el humanismo tecnológico empieza a traducirse en estrategias de colaboración entre actores públicos, como el gobierno central y el Ayuntamiento de Barcelona, y actores privados, como los congregados cada año en torno al Mobile World Congress.
Al mismo tiempo, han proliferado lo que se ha denominado como “posthumanismos”, una constelación diversa que incluye posiciones críticas de la visión humanista de lo humano y su relación con las tecnologías, otros seres vivos y la realidad misma.
En esta segunda sesión del Vector de Conceptualización Sociotécnica abordaremos, de forma exploratoria, diversas narrativas en torno a las relaciones entre humanidad y tecnología. Lo haremos en tres pasos: en primer lugar, recorreremos hitos clave de la tradición humanista, de Terencio a Sartre; a continuación revisaremos los posicionamientos del transhumanismo y el humanismo tecnológico, que surgen y divergen de esa tradición; en tercer lugar, repasaremos y ensayaremos diferentes reflexiones sobre los posthumanismos.
Esta sesión tendrá dos aproximaciones fundamentales. En primer lugar, se hará un recorrido centrado en la historia de las ideas apoyado en la filosofía y los estudios de ciencia, tecnología y sociedad. En segundo lugar, se esbozará una crítica desde la economía política. El objetivo será explorar tanto algunos de los matices conceptuales de estas narrativas como sus dimensiones económicas y sociales.
Coordinador/a sesión: Antonio calleja-López
Estructura de la sesión
Exposición: 45’
Debate: 45’
La sesión tendrá lugar en castellano.
Habrá streaming disponible aqui.
- +<p>Desde la revolución industrial, las innovaciones tecnológicas han ido de la mano de una transformación acelerada de nuestras vidas y de los conceptos con los que pensamos qué y quiénes somos. En las últimas décadas, los avances en ámbitos como la biotecnología o las TIC han ido ligados al surgimiento de narrativas rivales en torno a las relaciones entre humanidad y tecnología. El “<strong>transhumanismo</strong>”, una visión abanderada por figuras de Silicon Valley como Ray Kurzweil, director de ingeniería en Google, o Elon Musk, ha defendido que <strong>debemos usar la tecnología</strong> para modificar nuestra constitución biológica y cognitiva <strong>hasta llegar a ser más que humanos</strong>. Más recientemente, el “<strong>humanismo tecnológico</strong>” ha subrayado una urgencia inversa, no la necesidad de tecnologizar lo humano sino la de humanizar la tecnología, introduciendo la ética y los valores del humanismo en su seno, <strong>para evitar que nos destruya</strong>. Esta segunda posición agrupa a figuras públicas que van desde algunos renegados de Silicon Valley a intelectuales locales como José María Lasalle, ex ministro del Partido Popular y autor de un título reciente sobre el tema. </p><p>Sin embargo, ambas posiciones resultan en <strong>visiones limitadas y limitantes</strong> <strong>de lo humano y de su relación con la tecnología</strong> (así como con otras esferas de la actividad humana), visiones sobre las que se trata de construir <strong>agendas político-económicas de medio y largo plazo</strong>. Mientras que el transhumanismo parece triunfar entre actores ligados a grandes empresas tecnológicas y fondos de inversión (particularmente, americanos), el humanismo tecnológico empieza a traducirse en estrategias de colaboración entre actores públicos, como el gobierno central y el Ayuntamiento de Barcelona, y actores privados, como los congregados cada año en torno al Mobile World Congress. </p><p>Al mismo tiempo, han proliferado lo que se ha denominado como “<strong>posthumanismos</strong>”, una constelación diversa que incluye posiciones críticas de la visión humanista de lo humano y su relación con las tecnologías, otros seres vivos y la realidad misma. </p><p>En esta segunda sesión del Vector de Conceptualización Sociotécnica abordaremos, de forma exploratoria, diversas narrativas en torno a las relaciones entre humanidad y tecnología. Lo haremos en tres pasos: en primer lugar, recorreremos hitos clave de la <strong>tradición humanista</strong>, de Terencio a Sartre; a continuación revisaremos los posicionamientos del transhumanismo y el humanismo tecnológico, que surgen y divergen de esa tradición; en tercer lugar, repasaremos y ensayaremos diferentes reflexiones sobre los <strong>posthumanismos</strong>. </p><p>Esta sesión tendrá dos aproximaciones fundamentales. En primer lugar, se hará un recorrido centrado en la <strong>historia de las ideas</strong> apoyado en la filosofía y los estudios de ciencia, tecnología y sociedad. En segundo lugar, se esbozará una crítica desde la <strong>economía política</strong>. El objetivo será explorar tanto algunos de los matices conceptuales de estas narrativas como sus dimensiones económicas y sociales.</p><p><strong>Coordinador/a sesión: </strong><a href="https://tecnopolitica.net/es/autor/antonio-calleja-lo%CC%81pez" target="_blank">Antonio calleja-López</a></p><p><strong>Estructura de la sesión </strong></p><p><strong>Exposición: 45’</strong></p><p><strong>Debate: 45’</strong></p><p><br></p><p><strong>La sesión tendrá lugar en castellano.</strong></p><p><br></p><p><br></p><p><br></p><iframe class="ql-video" allowfullscreen="true" src="https://www.youtube.com/embed/P5hUU-tknZs?showinfo=0" frameborder="0"></iframe><p><br></p><p><strong>Habrá streaming disponible </strong><a href="https://youtu.be/P5hUU-tknZs" target="_blank"><strong>aqui</strong></a><strong>.</strong></p>
Descripción (Català)
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L'economia de dades planteja desafiaments derivats de la recol·lecció, processament, intercanvi i ús dels mateixos. Molts dels debats al voltant de la privacitat, el consentiment, la seguretat o l'anonimat digital s'emmarquen en el terreny de l'ètica. No obstant això, el que problemes com les noves formes de discriminació i injustícia algorítmiques s'aborden com problemes morals serveix d'excusa perquè les corporacions tecnològiques eludeixin la regulació i rendició de comptes. Per això, cal trobar un marc ètic crític i comú per evitar criteris arbitraris sense incidència real sobre els efectes discriminatoris d'aquests algoritmes.
Un d'aquests possibles marcs és l'ètica feminista de les dades, un camp d'estudi recent que examina des d'un enfocament interseccional la manera en què les pràctiques estàndard en ciència de dades serveixen per reforçar desigualtats existents com el sexisme, el racisme o el classisme. En paraules de Catherine D'Ignazio, es tracta d' "una crítica del masclisme ocult en la majoria de les narratives al voltant del big data". Més enllà de subministrar receptes senzilles per evitar males praxis, aquest marc analitza acuradament les relacions de poder que es teixeixen en les diferents fases del procés tecnològic (des del disseny fins a la difusió) i planteja preguntes filosòfiques crucials sobre la dimensió encarnada de les dades, la riquesa epistemològica de la pluralitat, o la importància hermenèutica del context.
En aquesta sessió comptarem amb la participació de Digital Fems, una organització que defensa la diversitat de gènere en la indústria tech i que ha impulsat projectes com "Dades contra el soroll" utilitzant el big data per visibilitzar les violències masclistes.
Coordinador/a sessió: Toni Navarro
Convidat/ada: Digital Fems
Materials:
Manifiest por Algoritmias Hackfeministas
La sessió es farà en castellà.
Hi haurà streaming disponible aqui.
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"></p><p>L'economia de dades planteja desafiaments derivats de la recol·lecció, processament, intercanvi i ús dels mateixos. Molts dels debats al voltant de la<strong> privacitat, el consentiment, la seguretat o l'anonimat digita</strong>l s'emmarquen en el terreny de l'ètica. No obstant això, el que problemes com les noves formes de discriminació i injustícia algorítmiques s'aborden com problemes morals serveix d'excusa perquè les corporacions tecnològiques eludeixin la regulació i rendició de comptes. Per això, <strong>cal trobar un marc ètic crític i comú</strong> per evitar criteris arbitraris sense incidència real sobre els efectes discriminatoris d'aquests algoritmes.</p><p>Un d'aquests possibles marcs és <strong>l'ètica feminista de les dades</strong>, un camp d'estudi recent que examina des d'un enfocament interseccional la manera en què les pràctiques estàndard en ciència de dades serveixen per reforçar desigualtats existents com el sexisme, el racisme o el classisme. En paraules de Catherine D'Ignazio, es tracta d' "una crítica del masclisme ocult en la majoria de les narratives al voltant del big data". Més enllà de subministrar receptes senzilles per evitar males praxis, aquest marc analitza a<strong>curadament les relacions de pode</strong>r que es teixeixen en les diferents fases del procés tecnològic (des del disseny fins a la difusió) i planteja preguntes filosòfiques crucials sobre la dimensió encarnada de les dades, la riquesa epistemològica de la pluralitat, o la importància hermenèutica del context.</p><p>En aquesta sessió comptarem amb la participació de <a href="http://www.digitalfems.org/" target="_blank">Digital Fems,</a> una organització que defensa la diversitat de gènere en la indústria tech i que ha impulsat projectes com "Dades contra el soroll" utilitzant el big data per visibilitzar les violències masclistes.</p><p><strong>Coordinador/a sessió</strong>: <a href="https://tecnopolitica.net/es/autor/toni-navarro" target="_blank">Toni Navarro</a></p><p><strong>Convidat/ada</strong>: <a href="http://www.digitalfems.org/" target="_blank">Digital Fems</a></p><p><strong> Materials:</strong></p><p><a href="https://www.manifestno.com/home" target="_blank">Feminist Data Manifest-No</a></p><p><a href="https://utopia.partidopirata.com.ar/zines/manifiesto_por_algoritmias_hackfeministas.pdf" target="_blank">Manifiest por Algoritmias Hackfeministas</a></p><p><a href="https://mutabit.com/repos.fossil/datafem/uv/datafem.pdf" target="_blank">Data Feminism</a></p><p>La sessió es farà en castellà.</p><iframe class="ql-video" frameborder="0" allowfullscreen="true" src="https://www.youtube.com/embed/P5hUU-tknZs?showinfo=0"></iframe><p><br></p><p><strong>Hi haurà streaming disponible </strong><a href="https://youtu.be/P5hUU-tknZs" target="_blank"><strong>aqui</strong></a><strong>.</strong></p>
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L'economia de dades planteja desafiaments derivats de la recol·lecció, processament, intercanvi i ús dels mateixos. Molts dels debats al voltant de la privacitat, el consentiment, la seguretat o l'anonimat digital s'emmarquen en el terreny de l'ètica. No obstant això, el que problemes com les noves formes de discriminació i injustícia algorítmiques s'aborden com problemes morals serveix d'excusa perquè les corporacions tecnològiques eludeixin la regulació i rendició de comptes. Per això, cal trobar un marc ètic crític i comú per evitar criteris arbitraris sense incidència real sobre els efectes discriminatoris d'aquests algoritmes.
Un d'aquests possibles marcs és l'ètica feminista de les dades, un camp d'estudi recent que examina des d'un enfocament interseccional la manera en què les pràctiques estàndard en ciència de dades serveixen per reforçar desigualtats existents com el sexisme, el racisme o el classisme. En paraules de Catherine D'Ignazio, es tracta d' "una crítica del masclisme ocult en la majoria de les narratives al voltant del big data". Més enllà de subministrar receptes senzilles per evitar males praxis, aquest marc analitza acuradament les relacions de poder que es teixeixen en les diferents fases del procés tecnològic (des del disseny fins a la difusió) i planteja preguntes filosòfiques crucials sobre la dimensió encarnada de les dades, la riquesa epistemològica de la pluralitat, o la importància hermenèutica del context.
En aquesta sessió comptarem amb la participació de Digital Fems, una organització que defensa la diversitat de gènere en la indústria tech i que ha impulsat projectes com "Dades contra el soroll" utilitzant el big data per visibilitzar les violències masclistes.
Coordinador/a sessió: Toni Navarro
Convidat/ada: Digital Fems
Materials:
Manifiest por Algoritmias Hackfeministas
La sessió es farà en castellà.
Hi haurà streaming disponible aqui.
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"></p><p>L'economia de dades planteja desafiaments derivats de la recol·lecció, processament, intercanvi i ús dels mateixos. Molts dels debats al voltant de la<strong> privacitat, el consentiment, la seguretat o l'anonimat digita</strong>l s'emmarquen en el terreny de l'ètica. No obstant això, el que problemes com les noves formes de discriminació i injustícia algorítmiques s'aborden com problemes morals serveix d'excusa perquè les corporacions tecnològiques eludeixin la regulació i rendició de comptes. Per això, <strong>cal trobar un marc ètic crític i comú</strong> per evitar criteris arbitraris sense incidència real sobre els efectes discriminatoris d'aquests algoritmes.</p><p>Un d'aquests possibles marcs és <strong>l'ètica feminista de les dades</strong>, un camp d'estudi recent que examina des d'un enfocament interseccional la manera en què les pràctiques estàndard en ciència de dades serveixen per reforçar desigualtats existents com el sexisme, el racisme o el classisme. En paraules de Catherine D'Ignazio, es tracta d' "una crítica del masclisme ocult en la majoria de les narratives al voltant del big data". Més enllà de subministrar receptes senzilles per evitar males praxis, aquest marc analitza a<strong>curadament les relacions de pode</strong>r que es teixeixen en les diferents fases del procés tecnològic (des del disseny fins a la difusió) i planteja preguntes filosòfiques crucials sobre la dimensió encarnada de les dades, la riquesa epistemològica de la pluralitat, o la importància hermenèutica del context.</p><p>En aquesta sessió comptarem amb la participació de <a href="http://www.digitalfems.org/" target="_blank">Digital Fems,</a> una organització que defensa la diversitat de gènere en la indústria tech i que ha impulsat projectes com "Dades contra el soroll" utilitzant el big data per visibilitzar les violències masclistes.</p><p><strong>Coordinador/a sessió</strong>: <a href="https://tecnopolitica.net/es/autor/toni-navarro" target="_blank">Toni Navarro</a></p><p><strong>Convidat/ada</strong>: <a href="http://www.digitalfems.org/" target="_blank">Digital Fems</a></p><p><strong> Materials:</strong></p><p><a href="https://www.manifestno.com/home" target="_blank">Feminist Data Manifest-No</a></p><p><a href="https://utopia.partidopirata.com.ar/zines/manifiesto_por_algoritmias_hackfeministas.pdf" target="_blank">Manifiest por Algoritmias Hackfeministas</a></p><p><a href="https://mutabit.com/repos.fossil/datafem/uv/datafem.pdf" target="_blank">Data Feminism</a></p><p>La sessió es farà en castellà.</p><iframe class="ql-video" frameborder="0" allowfullscreen="true" src="https://www.youtube.com/embed/P5hUU-tknZs?showinfo=0"></iframe><p><br></p><p><strong>Hi haurà streaming disponible </strong><a href="https://youtu.be/P5hUU-tknZs" target="_blank"><strong>aqui</strong></a><strong>.</strong></p>
Día y hora de inicio
- +2021-03-24 18:00:00 +0100
- +2021-03-24 18:00:00 +0100
- +2021-03-24 18:00:00 +0100
- +2021-03-24 18:00:00 +0100
Día y hora de finalización
- +2021-03-24 20:00:00 +0100
- +2021-03-24 20:00:00 +0100
- +2021-03-24 20:00:00 +0100
- +2021-03-24 20:00:00 +0100
Dirección
- +Carrer de Concepción Arenal, 165, 08027 Barcelona
- +Carrer de Concepción Arenal, 165, 08027 Barcelona
- +Carrer de Concepción Arenal, 165, 08027 Barcelona
- +Carrer de Concepción Arenal, 165, 08027 Barcelona
Ubicación (Castellano)
- +Canòdrom -Ateneu d'Innovació Digital i Democràtica
- +Canòdrom -Ateneu d'Innovació Digital i Democràtica
- +Canòdrom -Ateneu d'Innovació Digital i Democràtica
- +Canòdrom -Ateneu d'Innovació Digital i Democràtica
Ubicación (Català)
- +Canòdrom -Ateneu d'Innovació Digital i Democràtica
- +Canòdrom -Ateneu d'Innovació Digital i Democràtica
- +Canòdrom -Ateneu d'Innovació Digital i Democràtica
- +Canòdrom -Ateneu d'Innovació Digital i Democràtica