Find AWID staff at these partners' events!

Women's Forum on Financing for Gender Equality

• The Forum took place on 10 July 2015 in Addis Ababa and convened feminists, grassroots women, gender advocates, academics and representatives of women’s rights organizations/networks with specific inputs by UN representatives and other policy makers.
• The objectives of the Women's Forum were to: share information on the state of play in the latest FfD negotiations; jointly analyze the FfD panorama and follow-up; build a common women’s rights positioning; and strategize on how to meaningfully and substantively engage from a feminist perspective at the Addis FfD Conference.
• The Women's Forum was organized by the Women's Working Group on FfD, in collaboration with FEMNET, African Women's Development Fund (AWDF) and the Post 2015 Women's Coalition with support from UN Women.
• Read the Women's Working Group reaction to the Addis Ababa Action Agenda

CSO FfD Forum

• The CSO FfD Forum took place in Addis Ababa on 11-12 July 2015 and aimed to: inform participating CSOs on the state of play of the official process and coordinate civil society participation in the 3rd FfD Conference; develop a collective CSO Forum Declaration as well as the CSO messages for the FfD Conference Roundtables, the CSO FfD Group-led side events and any other opportunities that might emerge; and plan and organize future areas of CSO engagement on Financing for Development, beyond the 3rd FfD Conference.
• Read the Declaration from the Addis Ababa Civil Society Forum on Financing for Development
• For more information, please visit the CSO FfD Group's website or contact the Addis Ababa CSO Coordinating Group (addiscoordinatinggroup@gmail.com).

The Third UN International Conference on Financing for Development

• The third Conference on Financing For Development took place in Addis Ababa, Ethiopia, from 13-16 July 2015 and focused on: assessing the progress made in the implementation of the 2002 Monterrey Consensus and the 2008 Doha Declaration; addressing new and emerging issues, including in the context of the recent multilateral efforts to promote international development cooperation. Taking into account: the current evolving development cooperation landscape; the interrelationship of all sources of development finance; the synergies between financing objectives across the three dimensions of sustainable development (economic, social and environmental); and the need to support the United Nations development agenda beyond 2015; and reinvigorating and strengthening the financing for development follow-up process.
• The Addis Ababa Action Agenda was adopted on 15 July 2015 by Heads of State, Governments and High Representatives at the UN.
• The feeling however from developing countries, CSOs and more specifically women's organisations was that the Addis Ababa Action Agenda failed to meet the target. The Women's Working Group expressed its strong disappointment and demanded structural changes in the global economic governance and development architecture. Read their reaction to the outcome document. Hundreds of civil society organizations and networks from around the world also expressed deep concerns and reservations. Read their response to the outcome document.

Type of funder:

Filter your search by funders from different sectors i.e., philanthropic foundations, multilateral funders, women’s and feminist funds

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.

Where is the Money? An Evidence-Driven Call to Resource Feminist Organizing

This new report shines a light on the resourcing realities of feminist and women’s rights organizations amid unprecedented political and financial upheaval. Drawing on over a decade of analysis since AWID last Where is the Money? report (Watering the Leaves, Starving the Roots), it takes stock of the gains, gaps, and growing threats in the funding landscape.

The report celebrates the power of movement-led initiatives to shape resourcing on their own terms, while sounding the alarm on massive aid cuts, shrinking philanthropy, and escalating backlash. 

It calls on funders to invest abundantly in feminist organizing as essential infrastructure for justice and liberation. It also invites movements to reimagine bold, self-determined models of resourcing rooted in care, solidarity and collective power. 

Download the report now!

What We Demand:

• Climate finance as reparations: grants, not loans
• Direct funding to frontline communities
• Phasing out fossil fuels NOW
• Defunding military and prison complexes
• Corporate accountability mechanisms
• Enabling environments for feminist alternatives to thrive
• The liberation of Palestine, Congo and Sudan
• Debt cancellation and an end to austerity
• Rapid, direct and flexible funding to frontline communities
• Decolonial feminist just transitions

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 

Visitez notre hommage en ligne 2015

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