Organization: UN Development Programme, UN Institute for Training and Research, Food and Agriculture Organization of the United Nations
Registration deadline: 13 Nov 2017
Starting date: 13 Nov 2017
Ending date: 22 Dec 2017
This massive open online course on National Adaptation Plans: Building Climate Resilience in Agriculture brings you closer to the nexus of climate change adaptation, agriculture and sustainable development. If you want to learn from development professionals currently engaged in national adaptation planning and agriculture, then this 6-week course is for you.
Using videos, interactive lessons, case studies and stories, this course explores the central elements and the process for addressing the agriculture sectors in the formulation and implementation of National Adaptation Plans.
You will be introduced to Zipora and Alice - two women from different countries and cultures who share a common experience of ways in which climate change is affecting their worlds. Through their stories you will gain insights into what it really takes to build climate resilient agricultural systems.
The NAP-Ag MOOC is presented as part of the Integrating Agriculture in National Adaptation Plans (NAP-AG) Programme and is a joint effort between the United Nations Development Programme (UNDP), the Food and Agriculture Organization of the United Nations (FAO) and the United Nations Institute for Training and Research (UNITAR). It is was made possible by the generous funding of the German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (BMUB) through its International Climate Initiative (IKI).
Course Structure
Week 1 Introduction to climate change adaptation, agriculture and food security
Week 2 International frameworks and National Adaptation Planning
Week 3 Identifying and assessing climate change impacts and risks
Week 4 Identifying and prioritizing climate adaptation options
Week 5 Governance, coordination and finance
Week 6 Communication, monitoring and evaluation
How to register: