Course:
"Collective Action for Zero Hunger"
Language:
EN
TR
Form:
on-line / in-person
Duration:
5 hours (on-line)
6:30 hours (in-person)
+30 min. break
6:30 hours (in-person)
+30 min. break
Aligned with SDG:
Place:
Dates:
Lang.:
ON-LINE
5 July 2025
ANKARA (TR)
21 Sept. 2025
If our course is not available in your location and you believe it should be, let us know by clicking HERE. We will explore the possibilities and get back to you.
COURSE OBJECTIVE:
- Analyze root causes of hunger (economic, environmental, political).
- Map food systems using GIS and FAO frameworks.
- Evaluate success metrics (e.g., Global Hunger Index, SDG 2 indicators).
- Design intersectoral policies using anti-corruption frameworks.
- Deploy tech tools (AI, blockchain) for supply chain resilience.
- Mobilize communities through participatory budgeting and advocacy.
- Develop a Local Hunger Action Plan with FAO’s SMART indicators.
- Launch a pilot project (e.g., urban garden, food waste app).
- Build a cross-sector coalition (NGOs, businesses, governments).
- Analyze root causes of hunger (economic, environmental, political).
- Map food systems using GIS and FAO frameworks.
- Evaluate success metrics (e.g., Global Hunger Index, SDG 2 indicators).
- Design intersectoral policies using anti-corruption frameworks.
- Deploy tech tools (AI, blockchain) for supply chain resilience.
- Mobilize communities through participatory budgeting and advocacy.
- Develop a Local Hunger Action Plan with FAO’s SMART indicators.
- Launch a pilot project (e.g., urban garden, food waste app).
- Build a cross-sector coalition (NGOs, businesses, governments).
COURSE LEADERS:
NUHCAN AKÇİT
Talented Research Assistant supports researchers by gathering and assessing data. Hands-on experience collecting information, recording findings and preparing summaries. Organized and logical professional with strong communication skills and background in administrative support. Reliable candidate ready to take on challenges using problem-solving and task prioritization skills to help team succeed. Analytical Project Coordinator experienced at resolving challenges to achieve quality results. Adjusts timelines and monitors budget to meet established expectations. Maximizes productivity and streamlines cross-functional collaboration with latest technologies and best practices.
A detailed PROGRAM will be available soon.
Module: Workshops in groups
An online course is an excellent opportunity to broaden your knowledge. However, we recognise that a significant value of courses lies in the exchange of experiences among participants. This requires a certain level of openness and willingness to collaborate, which can sometimes only be fully unlocked through face-to-face interaction and the use of appropriate workshop solutions. That is why the programme for in-person courses includes 'Workshops in groups using real documents and a selected workshop format,' lasting approximately 90 minutes. These workshops are conducted during the second part of the course.
COURSE METHOLODOGY:
Use logic models (inspired by formal methods in CS) to define the municipal hunger challenge as a system of inequalities, specifying variables (e.g., food access gaps, policy misalignment) and constraints (e.g., budget limits, climate risks).
Use logic models (inspired by formal methods in CS) to define the municipal hunger challenge as a system of inequalities, specifying variables (e.g., food access gaps, policy misalignment) and constraints (e.g., budget limits, climate risks).
COURSE SUMMARY:
This course empowers a global community to dismantle hunger through:
1. Systemic Analysis: Diagnosing root causes in conflict zones, climate-vulnerable regions, and urban slums.
2. Grassroots Innovation: Scaling hyper-local models
3. Tech-Driven Scaling: Leveraging AI, EO data, and apps to optimize resource allocation.
This course empowers a global community to dismantle hunger through:
1. Systemic Analysis: Diagnosing root causes in conflict zones, climate-vulnerable regions, and urban slums.
2. Grassroots Innovation: Scaling hyper-local models
3. Tech-Driven Scaling: Leveraging AI, EO data, and apps to optimize resource allocation.
TERMS AND CONDITIONS FOR COURSES AND TRAININGS SESSIONS OF HAPPY CITY ACADEMY - SELECTED KEY RULES:
Enrollment
Enrollment is confirmed upon submitting a completed enrollment form and paying the Initial Payment of £30. The remaining balance must be paid at least 30 days before the course starts. For enrollments made less than 30 days before the start date, payment of the full course fee is required at the time of enrollment.
Confirmation
Participants will receive a confirmation email, including the course schedule, venue or platform details, and contact information.
Withdrawal Rights
Participants may withdraw within 14 days of enrollment for a full refund, including the Initial Payment.
Terms and Conditions for Courses and Training Sessions of Happy City Academy
Enrollment is confirmed upon submitting a completed enrollment form and paying the Initial Payment of £30. The remaining balance must be paid at least 30 days before the course starts. For enrollments made less than 30 days before the start date, payment of the full course fee is required at the time of enrollment.
Confirmation
Participants will receive a confirmation email, including the course schedule, venue or platform details, and contact information.
Withdrawal Rights
Participants may withdraw within 14 days of enrollment for a full refund, including the Initial Payment.
Terms and Conditions for Courses and Training Sessions of Happy City Academy
COSTS OF PARTICIPATING IN THE COURSE:
