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	<title>Tomás Cano - Associate Professor of Sociology </title>
	<link>https://tomascano.eu</link>
	<description>Tomás Cano - Associate Professor of Sociology </description>
	<pubDate>Wed, 14 May 2025 10:05:08 +0000</pubDate>
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		<title>UCM</title>
				
		<link>http://tomascano.eu/UCM</link>

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		<pubDate>Wed, 14 May 2025 10:05:08 +0000</pubDate>

		<dc:creator>Tomás Cano - Associate Professor of Sociology </dc:creator>
		
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		<description>UCM&#38;nbsp;
Presentacion&#38;nbsp;
paper</description>
		
		<excerpt>UCM&#38;nbsp; Presentacion&#38;nbsp; paper</excerpt>

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		<title>jobs</title>
				
		<link>http://tomascano.eu/jobs</link>

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		<pubDate>Thu, 08 May 2025 11:06:55 +0000</pubDate>

		<dc:creator>Tomás Cano - Associate Professor of Sociology </dc:creator>
		
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		<description>&#38;nbsp;Jobs&#38;nbsp;Contrato inicial doctorado UNED&#38;nbsp;
Postdoc position in the project “MultiMasc”

“Multidimensional Masculinities and The Gender Divide: A New Comparative and
Intergenerational Study”

PI: Tomás Cano
www.tomascano.eu

1-year postdoc in the Project “Multidimensional Masculinities and The Gender Divide: A New
Comparative and Intergenerational Study” funded by the Spanish Ministry of Science. The project
aims to study multidimensional masculinities and gender inequalities, focusing on the causes,
trends, and consequences of changing attitudes toward men’s involvement in paid and unpaid
work, using newly available comparative quantitative datasets, to determine how masculinity
cultures affect the social reproduction of inequality.

The project is carried out in the Faculty of Political Sciences &#38;amp; Sociology at UNED (Universidad Nacional de Educación a Distancia) in Madrid, but this position can be done remotely within Europe if needed.
For more information, see here:&#38;nbsp;
postdoc position&#38;nbsp;

If you are applying from outside Spain or don’t have Spanish “Clave”, please send your application to these two e-mails:&#38;nbsp;vrector-investigacion@adm.uned.es and cc: &#38;nbsp;tomas.cano@poli.uned.esDeadline: June, 7th &#38;nbsp;
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alt=""&#62;


</description>
		
		<excerpt>&#38;nbsp;Jobs&#38;nbsp;Contrato inicial doctorado UNED&#38;nbsp; Postdoc position in the project “MultiMasc”  “Multidimensional Masculinities and The Gender Divide: A...</excerpt>

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	</item>
		
		
	<item>
		<title>csic</title>
				
		<link>http://tomascano.eu/csic</link>

		<comments></comments>

		<pubDate>Wed, 19 Feb 2025 08:05:29 +0000</pubDate>

		<dc:creator>Tomás Cano - Associate Professor of Sociology </dc:creator>
		
		<category><![CDATA[]]></category>

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		<description>
Presentación 1
Presentación 2
</description>
		
		<excerpt>Presentación 1 Presentación 2</excerpt>

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	</item>
		
		
	<item>
		<title>esa</title>
				
		<link>http://tomascano.eu/esa</link>

		<comments></comments>

		<pubDate>Tue, 27 Aug 2024 10:04:02 +0000</pubDate>

		<dc:creator>Tomás Cano - Associate Professor of Sociology </dc:creator>
		
		<category><![CDATA[]]></category>

		<guid isPermaLink="false">454088</guid>

		<description>ESA
Porto
August 2024
Presentation&#38;nbsp;</description>
		
		<excerpt>ESA Porto August 2024 Presentation&#38;nbsp;</excerpt>

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	</item>
		
		
	<item>
		<title>Demo-recursos</title>
				
		<link>http://tomascano.eu/Demo-recursos</link>

		<comments></comments>

		<pubDate>Wed, 29 May 2024 09:41:12 +0000</pubDate>

		<dc:creator>Tomás Cano - Associate Professor of Sociology </dc:creator>
		
		<category><![CDATA[]]></category>

		<guid isPermaLink="false">453148</guid>

		<description>Población II: Análisis demográfico&#38;nbsp;
¿Por qué la gente vive más que “su” esperanza de vida al nacer?&#38;nbsp;
Aquí puedes leer una explicación (en inglés)
Blog sobre análisis demográfico 
con explicaciones, ejercicios resueltos, y más&#38;nbsp;
Entrevista de Aimar Bretos, periodista de Cadena Ser, a Albert Esteve, 
profesor de demografía en la Centro D’Estudis Demographics de Barcelona&#38;nbsp; (escúchala aquí)
¿Qué es la esperanza de vida?&#38;nbsp;
Explicado por Philip Cohen (Universidad de Maryland, EE. UU.)&#38;nbsp;
</description>
		
		<excerpt>Población II: Análisis demográfico&#38;nbsp; ¿Por qué la gente vive más que “su” esperanza de vida al nacer?&#38;nbsp; Aquí puedes leer una explicación (en...</excerpt>

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	</item>
		
		
	<item>
		<title>ROMI</title>
				
		<link>http://tomascano.eu/ROMI</link>

		<comments></comments>

		<pubDate>Thu, 02 May 2024 08:16:00 +0000</pubDate>

		<dc:creator>Tomás Cano - Associate Professor of Sociology </dc:creator>
		
		<category><![CDATA[]]></category>

		<guid isPermaLink="false">452837</guid>

		<description>Medios Para Romi (MPR)
A la izquierda del PSOE (normalmente):&#38;nbsp;
www.eldiario.es&#38;nbsp;https://ctxt.es/&#38;nbsp;www.infolibre.es/
Socialdemócratas - PSOE - mainstream&#38;nbsp;
www.elpais.es www.publico.es&#38;nbsp;
www.cadenaser.es (radio)
www.lasexta.es (TV)&#38;nbsp;
Centro político, liberales&#38;nbsp;
www.lavanguardia.es&#38;nbsp;
www.20minutos.es&#38;nbsp;
Otros medios under, self-funded:&#38;nbsp;
Radio Carne Crudalo más under, lo más izquierda:&#38;nbsp;
www.elsaltodiario.com/
Medios feministas:&#38;nbsp;https://www.pikaramagazine.com/

El NewYorker español (o, esa era su pretensión inicial):&#38;nbsp;https://www.jotdown.es/&#38;nbsp;


</description>
		
		<excerpt>Medios Para Romi (MPR) A la izquierda del PSOE (normalmente):&#38;nbsp; www.eldiario.es&#38;nbsp;https://ctxt.es/&#38;nbsp;www.infolibre.es/ Socialdemócratas - PSOE -...</excerpt>

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	</item>
		
		
	<item>
		<title>archivodemo</title>
				
		<link>http://tomascano.eu/archivodemo</link>

		<comments></comments>

		<pubDate>Wed, 14 Feb 2024 14:05:38 +0000</pubDate>

		<dc:creator>Tomás Cano - Associate Professor of Sociology </dc:creator>
		
		<category><![CDATA[]]></category>

		<guid isPermaLink="false">451712</guid>

		<description>Inicio[Esta es una web de archivo para uso personal y no está abierta al público]Población II. Análisis Demográfico
Tutorías prácticasCurso 2023/2024

***
Este curso está diseñado y creado por la profesora Celia Ferández Carro. Todos los ejercicios, así como los power points llamados “Ejercicios”, están ideados y realizados por la profesora Fernández.&#38;nbsp;***

Descarga todos los ejercicios aquí

Sesión 1: Diagrama de Lexis
Vídeo &#124; Ejercicios Sesión 2: Mortalidad
Vídeo &#124; Ejercicios &#124; Power PointSesión 3: Fecundidad
 Vídeo &#124; EjerciciosSesión 4: Migraciones:
Vídeo &#124; Ejercicios
Sesión 5: Estructura y crecimiento
 Vídeo &#124; Ejercicios&#38;nbsp; &#124; Slides Esp. Vida*

Sesión Extra (por el Prof. Christian Orgaz):&#38;nbsp; Pirámides de Población
 Vídeo &#124;&#38;nbsp; Ejercicios&#38;nbsp;****Pincha aquí para acceder a más recursos complementarios
 ***
Tomás Cano&#38;nbsp;</description>
		
		<excerpt>Inicio[Esta es una web de archivo para uso personal y no está abierta al público]Población II. Análisis Demográfico Tutorías prácticasCurso 2023/2024  ***...</excerpt>

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	</item>
		
		
	<item>
		<title>Métodos-Recursos</title>
				
		<link>http://tomascano.eu/Metodos-Recursos</link>

		<comments></comments>

		<pubDate>Tue, 09 Jan 2024 17:51:23 +0000</pubDate>

		<dc:creator>Tomás Cano - Associate Professor of Sociology </dc:creator>
		
		<category><![CDATA[]]></category>

		<guid isPermaLink="false">450871</guid>

		<description>MétodosLa experimentación</description>
		
		<excerpt>MétodosLa experimentación</excerpt>

		<!--<wfw:commentRss></wfw:commentRss>-->

	</item>
		
		
	<item>
		<title>archivopoblacion</title>
				
		<link>http://tomascano.eu/archivopoblacion</link>

		<comments></comments>

		<pubDate>Wed, 04 Oct 2023 10:17:22 +0000</pubDate>

		<dc:creator>Tomás Cano - Associate Professor of Sociology </dc:creator>
		
		<category><![CDATA[]]></category>

		<guid isPermaLink="false">448623</guid>

		<description>Volver a inicio
Población I: 
Teoría de la Población&#38;nbsp;

Tutorías&#38;nbsp;
Tema 0:&#38;nbsp;
Introducción&#38;nbsp;


Tema 1: 
La demografía como disciplina de las ciencias sociales&#38;nbsp;
Tema 2: 
Teorías clásicas poblacionales
Tema 3:&#38;nbsp;
 Propuestas teóricas para explicar la evolución de la población&#38;nbsp;
Tema 4: 
Fecundidad y comportamientos reproductivos&#38;nbsp;
Tema 5:&#38;nbsp;
Mortalidad: Vídeo &#124;&#124; Slides&#38;nbsp;Mortalidad&#38;nbsp;
Tema 6:&#38;nbsp;
Migraciones:&#38;nbsp;Vídeo&#38;nbsp; &#124;&#124;&#38;nbsp;Slides



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		<excerpt>Volver a inicio Población I:  Teoría de la Población&#38;nbsp;  Tutorías&#38;nbsp; Tema 0:&#38;nbsp; Introducción&#38;nbsp;   Tema 1:  La demografía como disciplina de las...</excerpt>

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		<title>UPF</title>
				
		<link>http://tomascano.eu/UPF</link>

		<comments></comments>

		<pubDate>Fri, 22 Sep 2023 12:43:01 +0000</pubDate>

		<dc:creator>Tomás Cano - Associate Professor of Sociology </dc:creator>
		
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Presentation</description>
		
		<excerpt>Presentation</excerpt>

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