El Foro Internacional de AWID es una reunión de 2.000 líderes de derechos de las mujeres y activistas de todo el mundo. El Foro AWID es el evento recurrente más grande de su tipo, y cada Foro tiene lugar en un país diferente en el Sur global.

El Foro Internacional de AWID es un evento de la comunidad global y, al mismo tiempo, un espacio para una transformación personal radical. Es un encuentro único: el Foro reúne a los movimientos feministas, por los derechos de las mujeres, por la justicia de género, LBTQI+ y aliados, en toda nuestra diversidad y humanidad, para conectarnos, sanar y florecer.

Únete a nosotrxs en Bangkok, Tailandia, y de manera virtual, en diciembre de 2024.

¡Inscríbete ahora!

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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

See Our 2015 WHRD Tribute

Ester Lopes est une danseuse et une écrivaine dont les recherches portent sur le corps, le genre, la race et les rapports de classe. Elle est professeure de Pilates et enseigne l’art. Ester est diplômée en théâtre contemporain – processus créatifs (à la FAINC) et en danse et conscience du corps (à l’USCS). Parmi ses spécialisations musicales figurent le chant populaire et les percussions. Elle a suivi une formation à Novos Brincantes avec Flaira Ferro, Mateus Prado et Antonio Meira à l’Institut Brincante en 2015 et 2016.

La Conférence de Monterrey sur le financement du développement a marqué le début des discussions sur les questions relatives au financement du développement.

• Le Consensus de Monterrey a été adopté lors de cette première conférence internationale sur le financement du développement. Il s’agissait de la première réunion au sommet organisée sous l’égide des Nations Unies à traiter des questions financières fondamentales et des problématiques connexes relatives au développement mondial.
• La conférence et  ses phases préparatoires furent le théâtre d’une coopération sans précédent entre les Nations Unies, la Banque mondiale (BM), le Fonds monétaire international (FMI) et l'Organisation mondiale du commerce (OMC),  montrant une partie des efforts entrepris pour promouvoir une cohérence et  une homogénéité plus importantes au sein des systèmes et institutions  monétaires, commerciaux et financiers internationaux.
• Lors de cette conférence, les débats sur le financement du développement ont, pour la première fois, impliqué les gouvernements, des représentant-e-s de la société civile et le secteur privé. Ces acteurs ont porté les discussions au-delà des aspects « techniques » pour traiter des modalités de mobilisation et de canalisation des ressources financières nécessaires à la mise en œuvre des objectifs de développement internationalement convenus auparavant lors des sommets et conférences des Nations Unies des années 1990. Parmi ces objectifs figurent notamment les objectifs du Millénaire pour le développement (OMD).
• Le Caucus des femmes a non seulement noté le caractère historique de cette conférence et déclaré que celle-ci  pouvait  permettre de relever les défis structurels qui continuaient à ralentir  le développement, mais il a aussi souligné les inquiétudes engendrées par les  conséquences de la militarisation croissante et de la montée des fondamentalismes à l’encontre des femmes, et ceci malgré le fait que le Consensus de Monterrey considérait que le système économique et financier mondial fonctionnait  au profit de toutes et tous.

Pour en savoir plus sur les six axes de Monterrey et sur les mécanismes de suivi de la conférence : Gender Issues and Concerns in Financing for Development (en anglais), par Maria Floro, Nilufer Çagatay, John Willoughby et Korkut Ertürk (INSTRAW, 2004). 

Sí, por favor. El mundo ha cambiado desde 2021, y te invitamos a proponer una actividad que refleje tus realidades y prioridades actuales.

Before starting the WITM research methodology, it is important you prepare the background and know what to expect.

Capacity

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.

Trust

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. 

First step

1. Gather your resources

We also recommend referring to our “Ready to Go?” Worksheet to assess your own progress.

First step

1. Gather your resources

Ready to Go? Worksheet

Download the toolkit in PDF

Desintegración

 El miércoles llega una nota con una dirección en el reverso.

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The theme of the Fourth High-level Dialogue on Financing for Development, 23-24 March 2010: The Monterrey Consensus and Doha Declaration on Financing for Development: status of implementation and tasks ahead. It had four round tables on: the reform of the international monetary and financial systems; impact of the financial crisis on foreign direct investments; international trade and private flows; and the role of financial and technical development cooperation, including innovative sources of development finance, in leveraging the mobilization of domestic and international financial resources for development.

There was also the informal interactive dialogue involving various stakeholders that focused on the link between financing for development and achieving the Millennium Development Goals. 

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

Collect your data

1. Before launch

• First determine the best way to reach your survey population.
  For example, if you want to focus on indigenous women’s rights organizers, do you know who the key networks are? Do you have contacts there, people who can introduce you to these organizations or ways of reaching them?
• Determine if your key population can be easily reached with an online survey, if you need to focus on paper survey distribution and collection or a mix of both. This decision is very important to ensure accessibility and inclusiveness.
• Be prepared! Prior to advertizing, create a list of online spaces where you can promote your survey.
  If you are distributing paper versions, create a list of events, spaces and methods for distributing and collecting results.
• Plan your timeline in advance, so you can avoid launching your survey during major holidays or long vacation periods.
• Make it easy for your advisors and partners to advertize the survey – offer them pre-written Twitter, Facebook and email messages that they can copy and paste.

2. Launch

• Send the link to the survey via email through your organization’s email databases.
• Advertize on your organization’s social media. Similar to your newsletter, you can regularly advertize the survey while it is open.
• If your organization is hosting events that reach members of your survey population, this is a good space to advertize the survey and distribute paper versions as needed.
• Invite your advisors to promote the survey with their email lists and ask them to copy you so you are aware of their promotional messages. Remember to send them follow-up reminders if they’ve agreed to disseminate.
• Approach funders to share your survey with their grantees. It is in their interest that their constituencies respond to a survey that will improve their own work in the field.

3. During launch

• Keep the survey open for a minimum of four weeks to ensure everyone has time to take it and you have time to widely advertize it.
• Send reminders through your email databases and your partners databases asking people to participate in the survey. To avoid irritating recipients with too many emails, we recommend sending two additional reminder emails: one at  midway point while your survey is open and another a week before your survey closes.
• As part of your outreach, remember to state that you are only collecting one response per organization. This will make cleaning your data much easier when you are preparing it for analysis.
• Save an extra week! Halfway through the open window for survey taking, check your data set. How have you done so far? Run initial numbers to see how many groups have responded, from which locations, etc. If you see gaps, reach out to those specific populations. Also, consider extending your deadline by a week – if you do so, include this extension deadline in one of your reminder emails, informing people know there is more time to complete the survey. Many answers tend to come in during the last week of the survey or after the extended deadline.

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.

See a sample letter to send to grant-making institutions

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Prepare your data for analysis

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.

1. Clean your data

• Resolve and remove duplications: If there is more than one completed survey for one organization, reach out to the organization and determine which one is the most accurate.
• Remove ineligible responses: Go through each completed survey and remove any responses that did not properly answer the question. Replace it with “null”, thus keeping it out of your analysis.
• Consistently format numerical data: For example, you may remove commas, decimals and dollar signs from numerical responses. Financial figures provided in different currencies may need to be converted.

2. Code open-ended responses

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:

1. People will not use the exact same words to describe similar responses
2. Surveys with multiple language options will require translation and then coding
3. Staff capacity to review and code each open-ended response.

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:

• Converting open-ended responses to the correct existing categories (this is known as “up-coding”). As a simple example, consider your survey asks participants “what is your favorite color?” and you offer the options “blue,” “green,” and “other.” There may be some participants that choose “other” and in their explanation they write “the color of the sky is my favorite color.” You would then “up-code” answers like these to the correct category, in this case, the category “blue.”
• Creating a new category if there are several “others” that have a common theme. (This is similar to coding the first type of open-ended responses). Consider the previous example question of favorite color. Perhaps many participants chose “other” and then wrote “red” is their favorite. In this case, you would create a new category of “red” to track all responses that answered “red.”
• Removing “others” that do not fit any existing or newly created categories.

3. Remove unecessary data

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.

4. Make it safe

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?

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Create your topline report

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.

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Analyze your data

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.

1. Statistical programs

• 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. Suggested points for analysis

• Analysis of collective budget sizes
• Analysis of budget sizes by region or type of organization
• Most common funders
• Total amount of all funding reported
• Total percentages of type of funding (corporate, government, etc)
• Most funded issues/populations
• Changes over time in any of these results.

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Previous step

3. Design your survey

Next step

5. Conduct interviews

Estimated time:

• 2 - 3 months

People needed:

• 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)

Resources needed:

• 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

Resources available:

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

Previous step

3. Design your survey

Next step

5. Conduct interviews

Ready to Go? Worksheet

Download the toolkit in PDF

“Now might be a good time to rethink what a revolution can look like. Perhaps it doesn’t look like a march of angry, abled bodies in the streets. Perhaps it looks something more like the world standing still because all the bodies in it are exhausted—because care has to be prioritized before it’s too late.” 
- Johanna Hedva (https://getwellsoon.labr.io/)

Hospitals are institutions, living sites of capitalism, and what gets played out when somebody is supposed to be resting is a microcosm of the larger system itself. 

Institutions are set out to separate us from our care systems – we find ourselves isolated in structures that are rigidly hierarchical, and it often feels as if care is something done to us rather than given/taken as part of a conversation. Institutional care, because of its integration into capitalist demand, is silo-ed: one person is treating your leg and only your leg, another is treating your blood pressure, etc. 

Photographer Mariam Mekiwi had to have surgery last month and documented the process. Her portraits of sanitized environments – neon white lights, rows after rows of repetitive structures – in a washed-out color palette reflect a place that was drained of life and movement. This was one of the ways Mariam kept her own spirit alive. It was a form of protest from within the confines of an institution she had to engage with.

The photos form a portrait of something incredibly vulnerable, because watching someone live through their own body’s breakdown is always a sacred reminder of our own fragility. It is also a reminder of the fragility of these care systems, which can be denied to us for a variety of reasons – from not having money to not being in a body that’s considered valuable enough, one that’s maybe too feminine, too queer or too brown.  

Care experienced as disembodied and solitary, that is subject to revocation at any moment, doesn’t help us thrive. And it is very different from how human beings actually behave when they take care of each other. How different would our world look like if we committed to dismantling the current capitalist structures around our health? What would it look like if we radically reimagined it?