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Tahira Mazhar Ali
![Tahira Mazhar Ali (EN)](/sites/default/files/styles/max_325x325/public/thumbnails/image/tahira_mazhar_ali.jpeg?itok=X0vGa3Se)
Feminist Realities are the living, breathing examples of the just world we are co-creating. They exist now, in the many ways we live, struggle and build our lives.
Feminist Realities go beyond resisting oppressive systems to show us what a world without domination, exploitation and supremacy look like.
These are the narratives we want to unearth, share and amplify throughout this Feminist Realities journey.
Create and amplify alternatives: We co-create art and creative expressions that center and celebrate the hope, optimism, healing and radical imagination that feminist realities inspire.
Build knowledge: We document, demonstrate & disseminate methodologies that will help identify the feminist realities in our diverse communities.
Advance feminist agendas: We expand and deepen our collective thinking and organizing to advance just solutions and systems that embody feminist values and visions.
Mobilize solidarity actions: We engage feminist, women’s rights and gender justice movements and allies in sharing, exchanging and jointly creating feminist realities, narratives and proposals at the 14th AWID International Forum.
As much as we emphasize the process leading up to, and beyond, the four-day Forum, the event itself is an important part of where the magic happens, thanks to the unique energy and opportunity that comes with bringing people together.
Build the power of Feminist Realities, by naming, celebrating, amplifying and contributing to build momentum around experiences and propositions that shine light on what is possible and feed our collective imaginations
Replenish wells of hope and energy as much needed fuel for rights and justice activism and resilience
Strengthen connectivity, reciprocity and solidarity across the diversity of feminist movements and with other rights and justice-oriented movements
Learn more about the Forum process
We are sorry to announce that the 14th AWID International Forum is cancelled
Given the current world situation, our Board of Directors has taken the difficult decision to cancel Forum scheduled in 2021 in Taipei.
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THE EXCLUSION, STIGMA AND INSTITUTIONAL ABUSE
that trans and travesti people continue to face on a daily basis
We all can dance
by Mechthild Möhring (aka serialmel)
How I punt myself at the narrow hard knitting I once retrieved. I'm dancing in the kitchen when I'm alone. Gracile and powerful. When I'm in company I'm clumsy. My body scandalizes, scandalizes the laws of look I feel, scandalizes the words which banished me. "Of course she can dance, it's in her blood as a Black person." "If she is able to dance nicely she is good in bed" they whisper, they murmur, no - they say it openly into my face. They smirk and rub themselves against me and let me move back. I stumble and fall. My feet reject their duty. Bearish I get out of breath. Smiling I place myself out of events and notice how my face freezes into a mask.
Translated into English by Tsepo Bollwinkel
Original in German
Tanzen können wir alle
Von Mechthild Möhring (aka serialmel)
Wie ich mich stosse an den engen, harten Maschen, in die ich mich einst zurückgezogen habe. Ich tanze in der Küche, wenn ich allein bin. Grazil und kraftvoll. Wenn ich in Gesellschaft bin, bin ich unbeholfen. Mein Körper eckt an, an die Gesetze des Blicks, den ich spüre, an die Worte, die mich bannten. „Natürlich kann sie tanzen, als Schwarze hat sie das im Blut.“ „Wenn sie gut tanzen kann, dann ist sie auch gut im Bett“ flüstern sie, raunen sie, nein, sie sagen es mir laut ins Gesicht. Sie grinsen und reiben sich an mir und lassen mich zurückweichen. Ich stolpere und falle. Meine Füsse verweigern ihren Dienst. Tollpatschig gerate ich ausser Atem. Lächelnd setze ich mich an den Rand des Geschehens und bemerke, wie mein Gesicht zur Maske erstarrt.
Laura was a leading activist and lawyer who campaigned fearlessly for the decriminalisation of sex work in Ireland.
She is remembered as “a freedom fighter for sex workers, a feminist, a mother to a daughter and a needed friend to many.”
Laura advocated for individuals in the sex industry to be recognised as workers deserving of rights. She advanced demands for decriminalisation, including initiating a judicial review at Belfast’s high court in respect of the provisions criminalising the purchase of sex. Laura stated that her intention was to bring the case to the European Court of Human Rights.
Ces défenseuses ont fait campagne pour les droits fonciers et ont lutté pour les droits des femmes et des peuples autochtones. Elles se sont opposées aux industries extractives, ont écrit de la poésie et se sont battues pour que l'amour prévale. L'une d'entre elles nous a quitté il y a dix-neuf ans. Nous vous invitons à vous joindre à nous pour rendre hommage à ces défenseuses, à leur travail et à l’héritage qu’elles nous ont laissé. Faites circuler ces mèmes auprès de vos collègues et amis ainsi que dans vos réseaux et twittez en utilisant les hashtags #WHRDTribute et #16Jours.
S'il vous plaît cliquez sur chaque image ci-dessous pour voir une version plus grande et pour télécharger comme un fichier
Ottilie was a Namibian feminist activist, educator and politician.
Ottilie was one of the founders of the South West African People's Organisation (SWAPO), the Yu Chi Chan Club (an armed revolutionary group); and the South West African National Liberation Front (SWANLIF). She was also a founder of the Namibian Women’s Association and Girl Child Project.
Throughout her life, Ottilie argued for the right to argue, think, contest, and demand. She mobilized women, organized students and teachers and criticized other comrades for their elitism and their corruption.
Ottilie worked ferociously to dismantle patriarchy, and to create a concrete transformative, liberatory, feminist participatory democracy.
Ottilie often said: “I will rest the day I die.”
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
Carmen had a long career advocating for women’s rights both in NGOs and within the United Nations (UN) system.
She taught courses in several Spanish and Latin American universities, and published numerous articles and reports on women, gender and peace in developing countries.
Her writing and critical reflections have impacted a whole generation of young women. In her last years, she was responsible for the Gender Practice Area in the Regional Center of the United Nations Development Program (UNDP) for Latin America, from where she supported very valuable initiatives in favour of gender equality and women's human rights.
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.