1. Advocacy for GS:
GS enable to track forms of inequality between men and women.
Makes gender visible in statistics
Is not an isolated field but a perspective that relates to all fields of statistics

2. What is essential to the production of GS? Step 1
what statistics are needed? What problems and goals are connected with gender issues in your country? Select topics to be investigated
Develop data collection methods taking into account stereotypes & social-cultural factors that might produce gender-based biases.

3. Step 2
Development of analyses & presentation of data that can be easily used by policymakers/planners
Policy-oriented approach: give preference to those GS that feed more or less directly into the policy choices.

4. The first challenge?
To convince statisticians, government officials & some users of the importance and need for GS
To prove that a gender focus strengthens and improves the whole statistical systems.
To engage them in a dialogue
To convince them to be trained

5. “Hitting the nerve” and breaking barriers
Explain that adding gender aspect will produce better statistics
New data not to show disadvantages of women but to enrich the data with additional information => this will add new clients => increase their prestige =>improve their visibility =>bring more funding =>new incentives =>new alliances

6. Not a women’s advocate
Gain the trust and respect, show an understanding of a “real” statistics
Build alliances => other statistical domains in NSO =>Ministries =>Parliament => NGOs =>International agencies =>private sector.
Listen carefully to the needs of the ext. allies =>make sure you deliver promised results

7. Building stones Alliances Top management support
Technical management support
Funding
Specific gender committees
The hardest part is to START.
Follow best practices (e.g. Sweden – 1980 Equal Opportunities Act, Ministry of EO; Fact book on GS- 1984; 1996 – Engendering Statistics. Aid to many countries…)