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Data visualization as a tool for socioeconomic empowerment and gender equality promotion.

Avatar: Francisco Duque Lima Francisco Duque Lima
23/11/2021 16:20  

Context
- Women are just a third of the workforce in the movie industry;
- Men get more funding than women for film productions;
- There is an established idea that women succeed in making documentaries, which hinders access to opportunities in other genres. Eg: The percentage of women in charge or involved in fiction productions is extremely low. (Almost three times more women directing documentaries than fiction);
- There is only sex-disaggregated data available (it is not gender data, it does not include gender expression and gender identity);
- We don't know about the gender bias across race, sexuality, class, ethnicity, nationality, disability, age, etc.

[Data pertains to the Spanish film industry. Time frame, 2015 to 2020]

Hypothesis
Accessible data narratives have a positive impact in promoting gender equality.
Collaboration
1) Feedback (opinions on the hypothesis, its viability and pitfalls, as well as missing perspectives) 2) Reflections (on the issue as a whole and on their own experiences and biases); 3) Data (insight about the movie audience, forms of data collection, other data resources, concerns with data collection); 4) Commitment (
Related data
Representativity of Women in the Spanish Movie Industry - Gender Data Lab: https://data.genderdatalab.org/dataset/representacion-de-mujeres-en-el-cine-espanol external-link(Collegamento esterno) GENDER GAP AT CINEMA INDUSTRY SPAIN - Gender Data Lab: https://data.genderdatalab.org/dataset/gender-gap-at-cinema-industry-spain external-link(Collegamento esterno)
Indicators
Women-centered gender gap;
Evaluation
To evaluate community contributions:
Clear, transparent, substantial feedback;
Respectful and inclusive approaches;

Meta-evaluation:
Visual uptake on discussion, awareness and apparent interest;
Noticeable changes in practices or discourse in the industry;

Elenco dei sostenitori

Avatar: Francisco Duque Lima Francisco Duque Lima

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Data visualization as a tool for socioeconomic empowerment and gender equality promotion. Commenti 1

Riferimento: IN-PROP-2021-11-157
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 870792.
The sole responsibility for the content of this publication lies with the authors. It does not necessarily represent the opinion of the European Union.
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impronta digitale

La parte di testo qui sotto è una rappresentazione abbreviata e con hash di questo contenuto. È utile assicurarsi che il contenuto non sia stato manomesso, poiché una singola modifica darebbe un valore completamente diverso.

Valore: e0161b0653a2f1de94d717beaaad0a5cd3d28fa3141320c2c543cc2eddc4c791

fonte: {"body":{"en":"<xml><dl class=\"decidim_awesome-custom_fields\" data-generator=\"decidim_awesome\" data-version=\"0.7.2\"><dt name=\"textarea-1635451235315\">Context</dt><dd id=\"textarea-1635451235315\" name=\"textarea\"><div>- Women are just a third of the workforce in the movie industry;\n- Men get more funding than women for film productions;\n- There is an established idea that women succeed in making documentaries, which hinders access to opportunities in other genres. Eg: The percentage of women in charge or involved in fiction productions is extremely low. (Almost three times more women directing documentaries than fiction);\n- There is only sex-disaggregated data available (it is not gender data, it does not include gender expression and gender identity);\n- We don't know about the gender bias across race, sexuality, class, ethnicity, nationality, disability, age, etc.\n\n[Data pertains to the Spanish film industry. Time frame, 2015 to 2020]</div></dd><dt name=\"text-1635451312580\">Hypothesis</dt><dd id=\"text-1635451312580\" name=\"text\"><div>Accessible data narratives have a positive impact in promoting gender equality.</div></dd><dt name=\"text-1635451372562\">Collaboration</dt><dd id=\"text-1635451372562\" name=\"text\"><div>1) Feedback (opinions on the hypothesis, its viability and pitfalls, as well as missing perspectives) 2) Reflections (on the issue as a whole and on their own experiences and biases); 3) Data (insight about the movie audience, forms of data collection, other data resources, concerns with data collection); 4) Commitment (</div></dd><dt name=\"text-1635451427513\">Related data</dt><dd id=\"text-1635451427513\" name=\"text\"><div>Representativity of Women in the Spanish Movie Industry - Gender Data Lab: https://data.genderdatalab.org/dataset/representacion-de-mujeres-en-el-cine-espanol GENDER GAP AT CINEMA INDUSTRY SPAIN - Gender Data Lab: https://data.genderdatalab.org/dataset/gender-gap-at-cinema-industry-spain</div></dd><dt name=\"textarea-1635451479530\">Indicators</dt><dd id=\"textarea-1635451479530\" name=\"textarea\"><div>Women-centered gender gap; \n</div></dd><dt name=\"textarea-1635451518445\">Evaluation</dt><dd id=\"textarea-1635451518445\" name=\"textarea\"><div>To evaluate community contributions: \nClear, transparent, substantial feedback;\nRespectful and inclusive approaches;\n\nMeta-evaluation:\nVisual uptake on discussion, awareness and apparent interest;\nNoticeable changes in practices or discourse in the industry; </div></dd></dl></xml>"},"title":{"en":"Data visualization as a tool for socioeconomic empowerment and gender equality promotion."}}

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