GIS for Gender Analysis and Inclusion Planning Training Course

Course Introduction

Gender equality and social inclusion are central pillars of sustainable development, ensuring that policies and programs address the needs of all population groups fairly. GIS provides powerful tools to analyze spatial dimensions of gender disparities and inclusion gaps.

Traditional planning systems often overlook gender-disaggregated data and spatial inequalities, leading to uneven access to services, resources, and opportunities. GIS helps visualize these disparities and supports evidence-based inclusive planning and decision-making.

This course introduces participants to the use of GIS for gender analysis and inclusion planning. It focuses on how spatial data can be used to identify inequalities in access to education, healthcare, employment, infrastructure, and social services.

Participants will learn how to integrate demographic, socio-economic, and spatial datasets to analyze gender-based patterns across regions. The training emphasizes mapping vulnerable populations and assessing inclusion gaps in development planning processes.

The course also explores advanced spatial analysis techniques for intersectional analysis, combining gender with age, disability, poverty, and location-based vulnerabilities. These approaches support more targeted and equitable interventions.

By the end of the course, participants will be able to design GIS-based gender analysis frameworks, produce inclusion maps, and support policies that promote equitable and inclusive development outcomes.

Duration

5 days

Who Should Attend

• Gender specialists and social inclusion officers in government and NGOs
• GIS analysts working on demographic and socio-economic spatial data
• Development planners integrating equity and inclusion into programs
• Public policy makers designing gender-responsive development strategies
• Humanitarian workers addressing vulnerable population needs
• Monitoring and evaluation officers in development projects
• Researchers in gender studies, geography, and social sciences
• Urban and regional planners focusing on inclusive infrastructure planning
• Health and education sector professionals addressing service equity
• International development practitioners and consultants
• Data scientists working on social and demographic spatial analysis
• Community development officers and field practitioners
• Human rights and advocacy organization staff
• Academic lecturers and students in gender and GIS studies
• Social policy analysts working on equity and inclusion frameworks

Course Objectives

• Provide a strong understanding of GIS applications in gender analysis and social inclusion planning frameworks.
• Enable participants to identify and analyze spatial inequalities affecting gender and marginalized populations.
• Develop skills in integrating demographic, socio-economic, and spatial datasets for inclusion analysis.
• Strengthen capacity to map access to services such as education, health, and infrastructure across populations.
• Build competency in identifying vulnerable groups using intersectional spatial analysis techniques.
• Enhance ability to produce gender-disaggregated spatial datasets for policy and planning purposes.
• Introduce advanced GIS techniques for analyzing social inclusion and equity distribution patterns.
• Support participants in designing gender-sensitive spatial planning frameworks and interventions.
• Improve skills in visualizing inclusion gaps using maps, dashboards, and spatial reporting tools.
• Enable participants to support evidence-based gender-responsive policies using geospatial analysis.

Course Outline

Module 1: Introduction to Gender Analysis and GIS

• Understanding gender equality and social inclusion concepts in development planning systems
• Overview of GIS applications in gender analysis and spatial equity assessments
• Linking spatial data analysis with social inclusion and policy frameworks
• Importance of geospatial tools in addressing gender disparities

Module 2: Gender-Disaggregated Data Collection and Management

• Collecting gender-disaggregated demographic and socio-economic datasets
• Managing spatial data for gender and inclusion analysis frameworks
• Integrating census and survey data into GIS platforms
• Ensuring accuracy and reliability of social datasets for analysis

Module 3: Mapping Gender Inequalities

• Visualizing spatial disparities in education, health, and employment access
• Mapping gender-based differences in infrastructure and services
• Identifying geographic areas with high inequality levels
• Using GIS tools to highlight inclusion gaps spatially

Module 4: Access to Services and Opportunities

• Analyzing spatial access to essential public services
• Measuring accessibility differences between gender groups
• Evaluating transport and mobility constraints for inclusion
• Supporting equitable service delivery planning

Module 5: Intersectional Spatial Analysis

• Understanding intersectionality in gender and development planning
• Combining gender with age, disability, and poverty indicators
• Mapping multiple vulnerability layers using GIS techniques
• Identifying compounded spatial inequalities across populations

Module 6: Social Inclusion and Vulnerability Mapping

• Identifying vulnerable and marginalized population groups spatially
• Mapping exclusion patterns in rural and urban areas
• Supporting targeted interventions for at-risk communities
• Integrating vulnerability indicators into GIS analysis

Module 7: Gender in Urban and Rural Planning

• Incorporating gender perspectives into urban planning systems
• Addressing rural inclusion challenges using spatial data analysis
• Designing inclusive infrastructure development strategies
• Evaluating spatial equity in settlement planning

Module 8: GIS for Policy and Decision Support

• Using spatial analysis to support gender-responsive policies
• Developing decision support systems for inclusion planning
• Communicating gender data effectively to policymakers
• Supporting governance with geospatial evidence systems

Module 9: Visualization and Reporting for Inclusion

• Creating gender-sensitive maps and spatial dashboards
• Visualizing inclusion gaps for stakeholder communication
• Developing reports for gender and social inclusion analysis
• Enhancing storytelling through geospatial visualization tools

Module 10: Emerging Trends in Gender and GIS

• Use of AI and big data in gender spatial analysis
• Integration of mobile data for real-time inclusion monitoring
• Advancements in participatory GIS for community engagement
• Future directions in geospatial gender equality planning

Training Approach          

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.