
Maya Angelou

En septembre 2016, 1800 féministes et défenseur-e-s des droits des femmes venu-e-s des quatre coins de nos mouvements se réunissaient sur les côtes de Bahia à l’occasion du 13ème Forum international de l’AWID.
Cette section met l’accent sur les victoires, les enseignements et les ressources qui ont couronné nos conversations. Nous vous invitons à l’explorer, la partager et laisser vos impressions.
L’un des principaux éléments à retenir de ce Forum a été la nécessité d’élargir et d’approfondir notre travail de collaboration entre mouvements pour faire face à une montée des fascismes et des fondamentalismes, une exacerbation de la cupidité des entreprises et un changement climatique en progression.
Nos Initiatives Jeunes-pousses ont aidé 20 idées émérgées au Forum à évoluer en actions concrètes
La vidéo « Protéger les personnes et la planète » et le guide « Arrimer la résistance à l'action » mettent en lumière le courage des défenseur-e-s des droits humains et présentent des stratégies concrètes pour résister au pouvoir des entreprises
Avec nos animations L'état de nos mouvements féministes et La justice climatique et environnementale, les mouvements ont maintenant des outils créatifs pour appuyer leur travail de plaidoyer.
La compilation des expressions artistiques des mouvements continue d’inspirer une organisation plus forte et plus créative dans le monde entier.
Les mouvements peuvent aussi bénéficier d’une nouvelle méthodologie pour envisager nos horizons féministes. (à venir bientôt !)
A travers son prochain plan stratégique et le processus de son Forum, l’AWID s’engage à poursuivre et approfondir les rapports, les apprentissages et les processus amorcés lors du Forum 2016, tout en s’inspirant de l’actualité.
Les Forums de l’AWID ont vu le jour en 1983, à Washington DC. Depuis, ils revêtent de nombreux aspects et incarnent, selon les personnes, tantôt un processus itératif visant à affiner nos analyses, notre vision et nos actions, un évènement clé galvanisant les féminismes des participant-e-s et leurs organisations ou un espace politique offrant refuge et solidarité aux défenseur-se-s des droits humains.
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.
Pendant des décennies, les universitaires et défenseur·euse·s féministes ont développé d’importantes notions liées au genre afin de comprendre et combattre l’oppression et la discrimination. Ces notions sont maintenant devenues la cible d’acteur·ice·s antidroits qui prétendent que les rôles de genre patriarcaux oppressifs relèvent du « bon sens », peignant stratégiquement toutes les autres idées, normes culturelles et formes de vie sociale comme une idéologie dangereuse et conspirationniste.
Lisez le dossier sur Les Discours Sur L’ « Idéologie Du Genre » : Une Menace Pour Les Droits Humains
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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
What if we reimagined ways of caring for our communities?
What if the economy was not about someone else’s profit but about care for our individual and collective wellbeing? These stories are about building communities of care with and for people who are historically and presently excluded, disenfranchised and dehumanized by both state and society. These are the stories of feminists centering care in the economy.
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
Cuando lleguen al centro de São Paulo, verán el edificio de la Ocupação 9 de Julho, un sitio prominente en la lucha por la vivienda social y un importante espacio cultural. Este es el trabajo del Movimiento de Trabajadores Sin Hogar (Movimento dos Sem-Teto do Centro, MSTC), un movimiento de más de 2000 personas que actúa en el centro de la ciudad y convierte espacios abandonados en viviendas para trabajadorxs de bajos ingresos, niñxs, mujeres, adultos, ancianxs, migrantes y refugiadxs. En este edificio en particular, brindan comida y albergue a 122 familias.
L'économie solidaire (qui inclut l'économie coopérative et l’économie du don) est un cadre alternatif qui adopte différentes formes dans divers contextes et qui est ouvert au changement continuel.
Dans une économie solidaire, les producteurs mettent en place des processus économiques qui sont intimement liés à leurs réalités, à la préservation de l'environnement et à la coopération mutuelle.
Selon la géographe féministe Yvonne Underhill-Sem, l'économie du don est un système économique dans lequel les biens et les services circulent entre les personnes sans accord explicite de leur valeur, ou sans impliquer de réciprocité ultérieure.
Derrière le don il y a la relation humaine, la bienveillance et l'attention portée à la nurturance* de toute la société, non seulement limitée à soi-même et aux proches. Il s’agit ici de la notion du collectif.
Par exemple, dans la région du Pacifique, cette approche comprend la collecte, la préparation et le tissage de ressources terrestres et marines pour fabriquer des tapis, des ventilateurs, des guirlandes et des objets de cérémonie. Elle comprend également l'élevage du bétail et le stockage des récoltes saisonnières.
Pour les femmes, les incitations à s’engager dans des activités économiques sont diverses et multiples, allant de la réalisation d’aspirations de carrière afin de gagner de l'argent pour une vie confortable à long terme, à gagner de l'argent pour joindre les deux bouts, à rembourser une dette ou encore à échapper aux corvées de la vie courante.
Pour s’adapter aux divers environnements au sein desquels les femmes travaillent, le concept d'économie solidaire est en développement permanent et est continuellement discuté et débattu.
Nurturance : Nourriture et soins émotionnels et physiques donnés à quelqu'un.
Asociación de Mujeres Afrodescendientes del Norte del Cauca (ASOM)
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An economic system in which production and consumption patterns are based on profit using privately owned capital goods and wage labour. The system builds on individual wealth and capital accumulation at the lowest cost to the investor, with little regard for the societal costs and exploitation of the workforce - both paid and unpaid.
The conversion of land and activities related to it (like agriculture) into commodities that can be bought or sold for profit.
Institutions (like the World Bank, International Monetary Fund, or regional development banks) that provide loans to countries lacking sufficient money to cover funding shortfalls or to finance development projects. Historically, the lending policies of these institutions have been determined by economically powerful Western countries and private enterprises. Loans to low-income countries in particular typically include conditionalities that prompt economic reforms in these countries to support neo-liberalism.
A set of economic and political theories in which market forces, rather than governments, determine key aspects of the economy with governments acting to support globalized markets and the interests of capital. Neo-liberal economic policies typically include promotion of free trade, privatisation, reduced government spending on social programs, subsidies and tax exemptions for business, deregulation of financial sector and foreign investments, low taxes on the wealthy and corporations, flexible labour and weak environmental protection.
Refers to systemic and institutionalized male domination embedded in and perpetuated by cultural, political, economic and social structures and ideologies. Hetero-patriarchy in addition, is a patriarchal system that is also based on the belief that heterosexuality is the only normal and acceptable sexual orientation.
("exchange hand")
Term of the black communities of the Northern Cauca for the minga, the collective work based on solidarity and mutual support.