We have helped more than 40 nations and multilateral institutions identify strategies that offer all people access to food, water, health care, education, and equal opportunities for women and men.
MI aims to build a critical mass of stakeholders working in development planning who use systems thinking and system dynamics-based policy planning tools to understand the complex and integrated nature of sustainable development, analyze systemic sustainability challenges, and design effective public policy solutions to them.
Our training programs are designed for professionals, especially policy makers, policy advisors/analysts, and program implementation and evaluation specialists from government institutions, research institutes, international development agencies, foundations, and civil society organizations.
The trainings range from single and multi-day introduction workshops, to weeks-long advanced courses for professionals who want in-depth knowledge of the theory and practice of System Dynamics-based planning and policy decision support tools.
We offer sponsored trainings customized to identified needs and course conducted in partnership with universities and related institutions.
Some of our training offerings include:
Learning Environment for Integrated Planning (LEiP)
The LEiP course is a hands-on learning session on the importance of integrated planning for achieving the Sustainable Development Goals (SDGs). The course was developed by Unitar and Millennium Institute an educational tool for policymakers and country planners to explore synergies and trade-offs among SDG interventions. The course is free and open year round. Visit the LEiP course page to enroll.
Systems Thinking and Simulation for Integrated Planning
Systems Thinking is a critical skill that enables decision-makers to develop a holistic, coherent view on development processes, opening the way for integrated and effective policy responses to development challenges. Through key notes, debate, simulation and gaming sessions, participants in this training workshop experience the explanatory power of a systemic approach, and discover powerful qualitative and quantitative tools to boost policy effectiveness. The workshop is offered as a half-day, full-day, and multi-day session.
System Dynamics-based Development Planning
This course teaches the fundamentals of System Dynamics from a technical perspective. The course introduces participants to SD-based models designed for studying and managing complex, dynamic socioeconomic challenges in developing countries. Participants use planning models as an aid to identify the structural origin of such problems; and design and evaluate policies for their alleviation in an integrated manner. Participants gain knowledge about the significance of a robust strategy development, the associated policy design and the resulting decision making (i.e. management) in national contexts, in particular in multi-sector and multi-disciplinary domains. The course is offered annually in partnership with the University of Bergen, and includes two modules, an online module, and four-week residential module. Customized versions of the course are also offered. Enrollment for the 2021 edition is ongoing.
Introduction to System Dynamics for Development Planning
This course is the online module of the System Dynamics-based Development Planning course. Participants learn the basic principles of SD modeling and simulation for analyzing complex development problems and acquire skills in using SD modeling software. The course is offered at various times of the year based on demand.
Sector-specific training focuses on in-depth understanding of a sector of the T21 or iSDG model or area of analysis (e.g. agriculture, green economy, or SDGs). The training duration is between one to two weeks, and is designed specifically for modelers and policy analysts who have received prior training in System Dynamics. The training is organized periodically and participants come from various countries, providing an opportunity for experience-sharing and networking among the participants.