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En septiembre de 2016, 1800 feministas y activistas por los derechos de las mujeres de todos los rincones de nuestros movimientos se congregaron en las costas de Bahia, en el 13º Foro Internacional de AWID.
En esta sección se destacan los logros, los aprendizajes y los recursos que surgieron de las ricas conversaciones mantenidas. Te invitamos a analizar, compartir y comentar.
Uno de los aportes más importantes del Foro fue la necesidad de ampliar y profundizar nuestro trabajo entre movimientos, frente a la confluencia de los fascismos en auge, fundamentalismos, codicia corporativa y cambio climático.
Nuestras Iniciativas Semilla han ayudado a 20 ideas que surgieron en el Foro para crecer en forma de acciones concretas
El vídeo «Defendiendo a las Personas y al Planeta» y la guía «Tejiendo la resistencia a través de la acción» estan protagonizados por defensoras de derechos humanos y presentan estrategias concretas para confrontar al poder corporativo
Con nuestras animaciones El estado de nuestros movimientos feministas y Justicia climática y ambiental, los movimientos ahora tienen herramientas creativas para apoyar su trabajo.
La compilación de las expresiones artísticas «Los Movimientos Importan», sigue inspirando una organización más fuerte y creativa en todo el mundo.
Los movimientos también pueden beneficiarse de nuevas metodologías para imaginar nuestros futuros feministas (¡pronto!)
AWID se ha comprometido, mediante su próximo plan estratégico y su proceso del Foro, a continuar y profundizar las relaciones, las lecciones y los procesos iniciados en el Foro 2016 y basándonos en el momento actual.
Los Foros de AWID comenzaron en 1983 en Washington DC. Desde entonces, el evento ha crecido hasta convertirse en muchas cosas para muchas personas: un proceso iterativo para darle forma a nuestros análisis, objetivos y acciones; un hito crucial que fortalece los feminismos de lxs participantes e infunde energías a sus procesos de organización; un hogar político donde lxs defensoras de derechos humanos encuentran un santuario y solidaridad.
As part of our commitment to accessibility in all aspects of the AWID Forum we are accepting audio/video formats for those individuals/organizations/groups who can't submit a written application.
If you choose to send your proposal in an audio/video format, kindly follow the same order to answer the questions as detailed in the Activity Proposal Form.
To submit an audio/video file please Contact us, selecting Forum Call for Activities as the subject of your email.
Este año honramos a 19 defensoras de la región de América Latina y el Caribe. De ellas, 16 fueron asesinadas, incluyendo a 6 periodistas y 4 defensoras LGBTQI. Únete a nosotras en la conmemoración de sus vidas y trabajo, compartiendo los memes aquí incluidos con tus colegas, amistades y redes; y tuiteando las etiquetas #WHRDTribute y #16Días.
Por favor, haz click en cada imagen de abajo para ver una versión más grande y para descargar como un archivo.
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“Los saberes y prácticas indígenas siempre han apoyado la soberanía alimentaria, y ese saber está en manos de las mujeres […] El ecofeminismo para mí es el respeto por todo lo que tenemos a nuestro alrededor” -
The AWID Forum registration fees for all forum participants cover:
7 Women Human Rights Defenders from across the South and Southeast Asian region are honored in this year’s Online Tribute. These defenders have made key contributions to advancing human and women’s rights, indigenous people’s rights, and the right to education. These WHRDs were lawyers, women’s rights activists, scholars, and politicians. Please join AWID in commemorating t their work and legacy by sharing the memes below with your colleagues, networks and friends and by using the hashtags #WHRDTribute and #16Days.
Please click on each image below to see a larger version and download as a file
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.
More than just an event, the AWID Forum is part of our Feminist Realities Journey, with many spaces to come together, online and offline, for sharing, discussing, strategizing and co-creating feminist realities.
Learn more about the Feminist Realities Journey and everything that will happen before the Forum. Join our mailing list to stay tuned for Post-Forum announcements!
We are exploring options to participate virtually at the Forum and we will share information when we know what we can offer.
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.
Life expectancy of a trans and travesti person in Argentina is 37 years old - the average age for the general population is 77.
AWID is closely monitoring the global COVID 19 situation and for now anticipates continuing with the Forum as planned.
If at any moment the situation demands something different, we
will let you know right away.The 14th AWID International Forum is scheduled to take place 20-23 September 2021 in Taipei,.
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