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Leyla Yıldızhan (Deniz Fırat)
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Across the globe, feminist, women’s rights and gender justice defenders are challenging the agendas of fascist and fundamentalist actors. These oppressive forces target women, persons who are non-conforming in their gender identity, expression and/or sexual orientation, and other oppressed communities.
Discriminatory ideologies are undermining and co-opting our human rights systems and standards, with the aim of making rights the preserve of only certain groups. In the face of this, the Advancing Universal Rights and Justice (AURJ) initiative promotes the universality of rights - the foundational principle that human rights belong to everyone, no matter who they are, without exception.
We create space for feminist, women’s rights and gender justice movements and allies to recognize, strategize and take collective action to counter the influence and impact of anti-rights actors. We also seek to advance women’s rights and feminist frameworks, norms and proposals, and to protect and promote the universality of rights.
Events in Indonesia, in late 2019 - in particular, signs of intensifying militarization and backlash against LGBTQ rights - led us to question AWID’s ability to maintain a reasonably safe and welcoming environment for the diversity of participants we aspire to bring together at the Forum.
After careful consideration the AWID Board of Directors decided to change the venue for the 14th International AWID Forum, in November 2019 from Bali to Taipei.
Taipei offers a strong degree of logistical capacities, and is accessible for many travellers (with a facilitated e-visa process for international conferences).
For more details:
Feminist Realities are embedded in the multiple ways that show us that there is a different way of living, thinking and doing - from the daily expressions of how we live and relate to each other, to alternative systems of governance and justice. Feminist Realities resist dominant power systems such as patriarchy, capitalism, and white supremacy.
These are powerful propositions that orient us toward a vision of what is possible, and show how feminist organizing is blazing a path toward justice in movements and communities around the world.
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Abby was a pioneering feminist, human-rights activist and former McGill University epidemiologist.
Abby was renowned for championing social causes and for her insightful critiques of reproductive technologies and other medical topics. Specifically, she campaigned against what she called the "geneticization" of reproductive technologies, against hormone replacement therapy and for better, longer research before the approval of discoveries such as the vaccines against the human papillomavirus.
On the news of her passing, friends and colleagues described her fondly as an “ardent advocate” for women’s health.
Jacqueline was a pioneering Malian/Burkinabe feminist, nationalist and educator.
She taught English in Senegal, before being recruited in 1961 as an English teacher at the Lycée Philippe Zinda Kaboré in Ouagadougou, Burkina Faso. Through her activism, she was involved in the popular uprising of January 3, 1966. Between 1961 and 1966, Jacqueline was also responsible for the trade union press, Voices of the Teachers. She was appointed as the head of the Normal Course for Young Girls (now known as Nelson Mandela High School) until 1974, and dedicated herself to girls’ education and advancing women’s rights.
In 1984 she was awarded the Paul G. Hoffmann Award for outstanding work in national and international development.
Linda Porn is yet another heroine of feminist union organizing and sex worker activism nationally (in Spain) and transnationally.
Originally from Mexico, she has been living in Spain since the 2000s. She is a sex worker, an activist, a single mother and a multidisciplinary artist. Drawing from these different identities, she uses performance, video art and theater to vizibilize struggles at the intersections of transfeminism, sex work, migration, colonialism and motherhood.
She combines art and sex work while caring for her daughter as a single mother.
Linda also belongs to sex workers collectives that fight for their rights, such as the OTRAS union and CATS Murcia. She also co-founded the group 'Madrecitas' - that visibilises and denounces racist institutional violence against migrant families. Violence to which she and her daughter were subjected as a sex worker and migrant single mother.
You can follow her art work here.
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.
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So'oalo was a fervent human rights advocate, especially pertaining to the rights of the LGBTQI community in the Pacific.
She was a member of the Samoa Fa’afafine Association (SFA) and a passionate advocate for the acknowledgement of a third gender in the island country. Under her leadership, the SFA pushed for the recognition of the validity and rights of the fa’afafine community.
She was also a pioneer in articulating the links between human rights, exploitation of fa’afafines in Samoa and the Pacific, and the health, wellbeing and security of the LGBTQI community.
She was an inspiration, a visionary and her dedication to the pursuit of rights for her community is admirable and will be remembered.
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
Nadine was a role model to many for her work supporting women and the most vulnerable in her community. She was committed to helping the poor and homeless in particular.
Though her death was reported as an accident, the Ramaroson family, led by her father, André Ramaroson led an investigation that pointed to evidence that she had been murdered. She is reported to have died in a fatal accident occurred between Soanierano - Ivongo and Ste Marie - a story that has been refuted by her family.
She received numerous death threats for her bold political positions. Her case remains in court in Antananarivo (the capital of Madagascar).