
Claudia Pia Baudracco

AWID’s Tribute is an art exhibition honouring feminists, women’s rights and social justice activists from around the world who are no longer with us.
This year’s tribute tells stories and shares narratives about those who co-created feminist realities, have offered visions of alternatives to systems and actors that oppress us, and have proposed new ways of organising, mobilising, fighting, working, living, and learning.
49 new portraits of feminists and Women Human Rights Defenders (WHRDs) are added to the gallery. While many of those we honour have passed away due to old age or illness, too many have been killed as a result of their work and who they are.
This increasing violence (by states, corporations, organized crime, unknown gunmen...) is not only aimed at individual activists but at our joint work and feminist realities.
The portraits of the 2020 edition are designed by award winning illustrator and animator, Louisa Bertman.
AWID would like to thank the families and organizations who shared their personal stories and contributed to this memorial. We join them in continuing the remarkable work of these activists and WHRDs and forging efforts to ensure justice is achieved in cases that remain in impunity.
“They tried to bury us. They didn’t know we were seeds.” - Mexican Proverb
It took shape with a physical exhibit of portraits and biographies of feminists and activists who passed away at AWID’s 12th International Forum, in Turkey. It now lives as an online gallery, updated every year.
To date, 467 feminists and WHRDs are featured.
Día 1
英文、法文、西班牙文和中文
Before starting the WITM research methodology, it is important you prepare the background and know what to expect.
With AWID’s WITM research methodology, we recommend that you first review the entire toolkit.
While this toolkit is designed to democratize WITM research, there are capacity constraints related to resources and research experience that may affect your organization’s ability use this methodology.
Use the “Ready to Go?” Worksheet to assess your readiness to begin your own WITM research. The more questions you can answer on this worksheet, the more prepared you are to undertake your research.
Before beginning any research, we recommend that you assess your organization’s connections and trust within your community.
In many contexts, organizations may be hesitant to openly share financial data with others for reasons ranging from concerns about how the information will be used, to fear of funding competition and anxiety over increasing government restrictions on civil society organizations.
As you build relationships and conduct soft outreach in the lead-up to launching your research, ensuring that your objectives are clear will be useful in creating trust. Transparency will allow participants to understand why you are collecting the data and how it will benefit the entire community.
We highly recommend that you ensure data is collected confidentially and shared anonymously. By doing so, participants will be more comfortable sharing sensitive information with you.
We also recommend referring to our “Ready to Go?” Worksheet to assess your own progress.
Un lieu de travail n'a pas à fonctionner sur la base de la concurrence et du profit. Un lieu de travail ne devrait pas exploiter les gens au profit d’autrui. C’est pourquoi les communautés marginalisées en dehors des économies formelles construisent des modèles coopératifs alternatifs basés sur l'autonomie, la coopération, la coresponsabilité, l'autogestion et la solidarité.
Les lieux de travail et coopératives autogérés par les travailleur·euses ont toujours offert d'autres moyens de générer des opportunités d'emploi, des revenus, une sécurité sociale et des épargnes, tout en distribuant les revenus de manière plus communautaire, durable et sûre.
Mais le coopérativisme c'est bien plus qu'une opportunité d'emploi: c'est la réalisation des rêves et la construction d’économies féministes basées sur la solidarité et l'entraide. C'est la création d’un monde où nos vies, notre travail et nos communautés comptent.
Voici l'histoire de la Coopérative Textile Nadia Echazú, la première coopérative créée et dirigée par et pour les personnes travesti et trans en Argentine.
Avec une carrière juridique de plus de 30 ans à son actif, Oby était connue en Afrique et dans le monde comme une ardente défenseure de la justice de genre et des droits humains.
Elle a fondé le Centre de documentation et de développement des ressources civiles (CIRDDOC), une ONG nigériane qui sponsorise des formations et des activités de mise en réseau qui promeuvent les droits humains, la bonne gouvernance, l’accès à la justice et l’État de droit pour les membres de la société civile, les parlementaires, ainsi que d’autres parties prenantes concernées.
Au Nigeria, les activistes se souviennent d’Oby avec émotion, la qualifiant « d’activiste extraordinaire qui a fait preuve d’énergie et de passion pour lutter pour l’égalité de genre et la justice de genre au Nigéria et en Afrique »
(¡con invitades especiales!)
📅Martes 12 de marzo
🕒6:00 p. m. - 9:30 p. m. EST
🏢 Blue Gallery, 222 E 46th St, New York
Entrada solo con confirmación previa
我們屆時會於網站上公告徵選結果。
This section will guide you on how to ensure your research findings are representative and reliable.
In this section:
- Collect your data
1. Before launch
2. Launch
3. During launch- Prepare your data for analysis
1. Clean your data
2. Code open-ended responses
3. Remove unecessary data
4. Make it safe- Create your topline report
- Analyze your data
1. Statistical programs
2. Suggested points for analysis
If you also plan to collect data from applications sent to grant-making institutions, this is a good time to reach out them.
When collecting this data, consider what type of applications you would like to review. Your research framing will guide you in determining this.
Also, it may be unnecessary to see every application sent to the organization – instead, it will be more useful and efficient to review only eligible applications (regardless of whether they were funded).
You can also ask grant-making institutions to share their data with you.
Your survey has closed and now you have all this information! Now you need to ensure your data is as accurate as possible.
Depending on your sample size and amount of completed surveys, this step can be lengthy. Tapping into a strong pool of detail-oriented staff will speed up the process and ensure greater accuracy at this stage.
Also, along with your surveys, you may have collected data from applications sent to grant-making institutions. Use these same steps to sort that data as well. Do not get discouraged if you cannot compare the two data sets! Funders collect different information from what you collected in the surveys. In your final research report and products, you can analyze and present the datasets (survey versus grant-making institution data) separately.
There are two styles of open-ended responses that require coding.
Questions with open-ended responses
For these questions, you will need to code responses in order to track trends.
Some challenges you will face with this is:
If using more than one staff member to review and code, you will need to ensure consistency of coding. Thus, this is why we recommend limiting your open-ended questions and as specific as possible for open-ended questions you do ask.
For example, if you had the open-ended question “What specific challenges did you face in fundraising this year?” and some common responses cite “lack of staff,” or “economic recession,” you will need to code each of those responses so you can analyze how many participants are responding in a similar way.
For closed-end questions
If you provided the participant with the option of elaborating on their response, you will also need to “up-code” these responses.
For several questions in the survey, you may have offered the option of selecting the category “Other” With “Other” options, it is common to offer a field in which the participant can elaborate.
You will need to “up-code” such responses by either:
Analyze the frequency of the results
For each quantitative question, you can decide whether you should remove the top or bottom 5% or 1% to prevent outliers* from skewing your results. You can also address the skewing effect of outliers by using median average rather than the mean average. Calculate the median by sorting responses in order, and selecting the number in the middle. However, keep in mind that you may still find outlier data useful. It will give you an idea of the range and diversity of your survey participants and you may want to do case studies on the outliers.
* An outlier is a data point that is much bigger or much smaller than the majority of data points. For example, imagine you live in a middle-class neighborhood with one billionaire. You decide that you want to learn what the range of income is for middle-class families in your neighborhood. In order to do so, you must remove the billionaire income from your dataset, as it is an outlier. Otherwise, your mean middle-class income will seem much higher than it really is.
Remove the entire survey for participants who do not fit your target population. Generally you can recognize this by the organizations’ names or through their responses to qualitative questions.
To ensure confidentiality of the information shared by respondents, at this stage you can replace organization names with a new set of ID numbers and save the coding, matching names with IDs in a separate file.
With your team, determine how the coding file and data should be stored and protected.
For example, will all data be stored on a password-protected computer or server that only the research team can access?
A topline report will list every question that was asked in your survey, with the response percentages listed under each question. This presents the collective results of all individual responses.
Tips:
- Consistency is important: the same rules should be applied to every outlier when determining if it should stay or be removed from the dataset.
- For all open (“other”) responses that are up-coded, ensure the coding matches. Appoint a dedicated point person to randomly check codes for consistency and reliability and recode if necessary.
- If possible, try to ensure that you can work at least in a team of two, so that there is always someone to check your work.
Now that your data is clean and sorted, what does it all mean? This is the fun part where you begin to analyze for trends.
Are there prominent types of funders (government versus corporate)? Are there regions that receive more funding? Your data will reveal some interesting information.
Smaller samples (under 150 responses) may be done in-house using an Excel spreadsheet.
Larger samples (above 150 responses) may be done in-house using Excel if your analysis will be limited to tallying overall responses, simple averages or other simple analysis.
If you plan to do more advanced analysis, such as multivariate analysis, then we recommend using statistical software such as SPSS, Stata or R.
NOTE: SPSS and Stata are expensive whereas R is free.
All three types of software require staff knowledge and are not easy to learn quickly.
Try searching for interns or temporary staff from local universities. Many students must learn statistical analysis as part of their coursework and may have free access to SPSS or Stata software through their university. They may also be knowledgeable in R, which is free to download and use.
• 2 - 3 months
• 1 or more research person(s)
• Translator(s), if offering survey in multiple languages
• 1 or more person(s) to assist with publicizing survey to target population
• 1 or more data analysis person(s)
• List of desired advisors: organizations, donors, and activists
• Optional: an incentive prize to persuade people to complete your survey
• Optional: an incentive for your advisors
Survey platforms:
• Survey Monkey
• Survey Gizmo (Converts to SPSS for analysis very easily)
Examples:
• 2011 WITM Global Survey
• Sample of WITM Global Survey
• Sample letter to grantmakers requesting access to databases
Visualising Information for Advocacy:
• Cleaning Data Tools
• Tools to present your data in compelling ways
• Tutorial: Gentle Introduction to Cleaning Data
Life expectancy of a trans and travesti person in Argentina is 37 years old - the average age for the general population is 77.
Marielle was a Brazilian politician, feminist, lesbian and human rights activist.
Marielle was an outspoken critic of police brutality and extrajudicial killings. Her openly feminist, Black and favela-centered politics were a source of hope for marginalized groups in Rio de Janeiro, currently governed by a conservative city government and an evangelical mayor.
On March 14, 2018, after delivering a speech in Rio de Janeiro, Franco and her driver were shot multiple times and killed. Following news of her death crowds took to the streets shouting "Marielle presente!" (Marielle is here!) and demanding justice be done.
Read more about Marielle and the situation in Brazil
L’enquête s’adresse aux groupes, organisations et mouvements qui travaillent spécifiquement, ou principalement, à la défense des droits des femmes, des personnes LBTQI+ et pour la justice de genre dans tous les contextes, à tous les niveaux, dans toutes les régions. Si c’est un des principaux piliers du travail de votre groupe, collectif, réseau ou tout autre type d’organisation, que votre structure soit déclarée ou non, récemment constituée ou plus ancienne, nous vous invitons à participer à cette enquête.
*Nous ne collectons pas les réponses à titre individuel ou de fonds féministes et pour les femmes à l’heure actuelle.
En savoir plus sur l'enquête :
Consultez la foire aux questions
您若持有下列國家的護照,可免簽入境台灣到台北參與論壇活動(請留意持免簽可停留的天數各國不同):
安道爾、澳大利亞、奧地利、比利時、保加利亞、汶萊、加拿大、智利、克羅埃西亞、賽普勒斯、捷克、丹麥、愛沙尼亞、 史瓦濟蘭、芬蘭、法國、德國、希臘、瓜地馬拉、海地、宏都拉斯、匈牙利、冰島、愛爾蘭、以色列、義大利、日本*、韓國、拉脫維亞、列支頓斯登、立陶宛、盧森堡、馬爾他、馬歇爾群島、摩納哥、荷蘭、紐西蘭、尼加拉瓜、挪威、帛琉、巴拉圭、菲律賓、波蘭、葡萄牙、羅馬尼亞、俄國、聖馬利諾、斯洛伐克、斯洛維尼亞、西班牙、瑞典、瑞士、吐瓦魯、英國、美國、梵蒂岡城國、貝里斯、多明尼加、馬來西亞、諾魯、聖克里斯多福及尼維斯、聖塔露西亞、聖文森和格瑞納丁、新加坡。
未持有上述國家護照的人士來台北須申請簽證。
請留意:
在您完成論壇註冊手續後,無論您國籍為何,應會收到與論壇參與相關的一組號碼,用於申請來台灣的電子簽證。
論譠開放報名的時間我們會另行通知。
Los resultados de la investigación también influirán sobre tu trabajo de incidencia ya que, por ejemplo, te habrán revelado qué sectores otorgan más financiamiento y cuáles consideras que necesitan mayor formación para ejercer su rol de donantes.
En esta sección
- Desarrolla la estrategia de incidencia
- Ponte en contacto con tus redes
- Adapta la estrategia a cada sector
1. Organizaciones por los derechos de las mujeres
2. Entidades bilaterales y multilaterales
3. Fundaciones privadas
4. Fondos de mujeres
5. Sector privado y nuevos donantes
En la sección de este Manual dedicada a «Prepara el marco para la investigación», te recomendamos que pensaras en las metas que esperabas alcanzar con la investigación. Esas metas te permitirán desarrollar una estrategia de incidencia una vez que hayas completado la investigación.
Una estrategia de incidencia es un plan para difundir los resultados de la investigación de una forma tal que te permita cumplir las metas, dentro del objetivo más amplio que es hacer incidencia con sectores clave para introducir cambios positivos en cuanto a los recursos disponibles para los procesos organizativos por los derechos de las mujeres.
Cómo utilizar las metas definidas en el marco para la investigación:
De esa lista — que será lo más exhaustiva posible — elige los medios más eficientes para alcanzar tus metas. (Más abajo encontrarás ejemplos específicos de audiencias y métodos de incidencia)
Una vez que hayas desarrollado la estrategia, podrás comenzar con la difusión.
Para difundir los resultados, primero ponte en contacto con las personas/organizaciones a través de las cuales distribuiste la encuesta, y también con todas las que respondieron la encuesta y fueron entrevistadas.
No te olvides de pedirles que identifiquen quién será tu contacto en cada organización y pídeles que te confirmen una vez que hayan realizado cualquier publicación referida a tus materiales.
Esto te permitirá tener un registro de quiénes difundieron el informe pero también construir vínculos más sólidos con las organizaciones y personas con las que trabajas.
A modo de ejemplo te presentamos una lista de sectores sobre los que AWID realiza incidencia.
Para esto te resultará útil la lista de organizaciones y personas que te asesoraron durante la investigación (consultorxs). Ellxs te ayudarán a difundir el informe en distintos espacios y también podrán presentarte a nuevas organizaciones o llevarte a nuevos espacios para hacer incidencia.
Objetivos propuestos: Que las organizaciones por los derechos de las mujeres actualicen sus conocimientos acerca de las tendencias en el financiamiento; pensar colectivamente iniciativas conjuntas para la movilización de recursos utilizando los resultados de la investigación; influir sobre cómo abordan la movilización de recursos
Ejemplos de posibles métodos de incidencia:
Objetivo propuesto: Crear conciencia acerca de cómo el sector del financiamiento no está cumpliendo con sus compromisos establecidos y cómo necesita mejorar los mecanismos de apoyo para financiar los procesos organizativos por los derechos de las mujeres.
Identifica qué entidades bilaterales y multilaterales son las más influyentes en cuanto al financiamiento; esto podría incluir a las sedes locales de las embajadas.
Ejemplos de posibles métodos de incidencia:
Objetivo propuesto: Expandir la calidad y cantidad del apoyo a las organizaciones por los derechos de las mujeres.
Ejemplos de posibles métodos de incidencia:
Objetivo propuesto: Alentarlas a continuar y expandir su trabajo.
Ejemplos de posibles métodos de incidencia:
Objetivos propuestos: Incrementar su conocimiento del campo y alentar a la coherencia entre sus intereses filantrópicos y sus prácticas comerciales.
Ejemplos de posibles métodos de incidencia:
Asegúrate de adaptar las presentaciones, propuestas y aplicaciones a cada uno de los grupos a los que quieres llegar.
Insistimos en recomendarte que consultes nuestra Planilla ¿Estoy listx? para evaluar cómo has ido avanzando.
1-2 años, dependiendo de los objetivos de incidencia
• 1 persona (o más) de comunicación
• Lista de espacios para hacer publicidad de la investigación
• Lista de los blogs y revistas en línea donde se pueden publicar artículos acerca de su hallazgo de la investigación
• Lista de asesores
• Sus productos de información WITM
• Ejemplo de plan para incidencia
Razan era una médica voluntaria de 21 años en Palestina.
Le dispararon cuando corría hacia un muro fronterizo fortificado, en un intento por llegar hasta una persona herida en el este de la ciudad de Khan Younis, en el sur de Gaza.
En su última publicación en Facebook, Razan dijo: «Estoy volviendo y no retirándome», y añadió: «Denme con sus balas, no tengo miedo».
Pour revendiquer votre pouvoir en tant qu’experte sur la situation du financement des mouvements féministes.