Preventing gender-based violence

with the power of AI

 We believe that prevention is a precondition for an effective fight against violence.

Technology with analytics can offer solutions to support organizations and governments on that journey.

SAS has partnered with UNFPA, as we believe that together we can make small changes, which will better the lives of the ones in need.  We invite you to join us!

Watch the video with Alanna Armitage, UNFPA Regional Director for Eastern Europe and Central Asia, and learn more about the program.

Would you like to be part of it? We will organize three workshops where you can contribute by giving your unique expertise - either as a subject matter expert or as a thought leader. 

Our goal is to create a framework that will serve as a foundation on how key entities and government bodies could approach the burning issue of gender-based violence. 

Register for Workshop #2 on November 17th, where we will deep dive into the need for data, models, as well as data quality and integration.


Watch the videos from the first Workshop which took place on September 30th. Learn more about the reasons behind the partnership, how SAS is using insights from data to show how institutions can more efficiently use the data to prevent gender-based violence. Also, discover how Spain is using analytics to make big steps in its endeavors to prevent gender violence. 

SAS&UNFPA Cooperation
Gabriela Alvarez Minte​, Regional Gender Advisor for the UNFPA regional office for UNFPA Eastern Europe and Central Asia ​

Hana Kvartova​, Regional Director, SAS Central Europe​  

Vision for Data-Driven Policy Making and Execution

Ines Riestra​, Associate Account Executive​, SAS 

The VioGén Experience

Laura López Carballo, Head of Service of the VioGén System, Ministry of Interior Spain


November 17th, 10.00 CET

How do we use the data we have access to? What is needed to get real insights which will make the difference? If you are a data scientist, join us for the session where we will deep dive into the data models, collection, classification and integration of data. 


Part 1 - 10 minutesIntroduction - Need for Data
Part 2 - 10 minutesProposed Overall Data Model
Part 3 - 15 minutesDiscussion: Selection and Classification of Data
Part 4 - 15 minutesDiscussion: Data Collection
Part 5 - 10 minutesFramework for Data Quality and Integration
Part 6 - 15 minutesDiscussion: Data Quality and Integration
Part 7 - 15 minutesRemarks


Coming soon!