USAID works with local health care authorities and partners to support voluntary family planning and reproductive health programs in nearly 40 countries across the globe, which includes ensuring that contraceptives are available and accessible to people who need them.
With this competition, we seek to identify and test more accurate methods of predicting future contraceptive use at health service delivery sites.
First, we will award up to 25,000 USD in prizes to innovators who develop an intelligent forecasting model—using the data we provide and methods such as artificial intelligence (AI)—to predict the consumption of contraceptives over three months. If implemented, the model should improve the availability of contraceptives and family planning supplies at health service delivery sites throughout a nationwide healthcare system. Second, we will award a Field Implementation Grant of approximately 100,000 to 200,000 USD to customize and test a high-performing intelligent forecasting model in Côte d’Ivoire.
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Greater access to contraceptives enables couples and individuals to determine whether, when, and how often to have children. Contraceptive access is vital to safe motherhood, healthy families, and prosperous communities.
In low- and middle-income countries (LMIC) around the world, health systems are often unable to accurately predict the quantity of contraceptives necessary for each health service delivery site, in part due to insufficient data, limited staff capacity, and inadequate systems.
When too few supplies are ordered, service delivery sites may run out, limiting access to contraceptives and family planning. When too much product is ordered, it leads to unused contraceptives that are wasted if they are left to expire.
Accurate forecasting of contraceptive consumption can save lives, money, and time by ensuring health service delivery sites have what they need when they need it and by reducing waste in the supply chain.
Côte d’Ivoire Context
Côte d’Ivoire is home to roughly 27.4 million people. The Ivorian government has committed to make contraceptives available to the entire population and recently increased investments to purchase contraceptives by 25 percent.
In 2019, Ouagadougou Partnership estimated that over 1.3 million women in Côte d’Ivoire were using a modern method of contraception.
Contraceptives are distributed at all levels of the health care system in Côte d’Ivoire—including at the community-level. Public health service delivery sites make up 61 percent of the contraceptive supply and are key to family planning services.
About the Competition
Our goal is to ensure appropriate stocking of contraceptives and family planning supplies and to understand the benefits of intelligent forecasting models for improving contraceptive availability and supply chain efficiency.
Through this competition, we aim to:
NGOs, private sector organizations, and individuals are all eligible to compete. This competition has two overlapping phases, a Forecasting Prize to develop the model and a Field Implementation Grant. You can compete for the prize, or for the prize and the grant. You cannot compete only for the grant.
Compete in the Forecasting Prize
We are hosting a Forecasting Prize Competition to develop an intelligent forecasting model that will predict contraceptive consumption.
USAID will award prizes to the top two intelligent forecasting models that most accurately predict future monthly use of contraceptives in each health service delivery site:
To compete, you must submit an intelligent forecasting model and Expression of Interest (EOI). As a competitor, you will receive a dataset to develop a forecasting model for service delivery sites in Côte d’Ivoire to predict future contraceptive use.
USAID will shortlist Forecasting Prize finalists to compete for the Field Implementation Grant based on the performance of their intelligent forecasting model and the quality of their EOI.
Compete for the Field Implementation Grant
You may also choose to compete for the Field Implementation Grant to customize, strengthen, and pilot the model(s) developed for the Forecasting Prize with selected health service delivery sites in Côte d’Ivoire.
The competitor with the best concept note will win a grant of approximately 100,000 to 200,000 USD to test their model in Côte d’Ivoire.
To compete for the Field Implementation Grant, indicate your interest in the Forecasting Prize entry form. Then, answer the additional questions related to your implementation approach included in the EOI with your Forecasting Prize entry form.
Shortlisted competitors will participate in a virtual co-creation activity. This activity will foster an open environment to allow innovators, USAID/Washington, USAID/Côte d’Ivoire, and local stakeholders to constructively engage with competitors. It will also allow competitors to engage with each other to strengthen their models and field implementation approach. If you decide to continue to compete for the grant, you will develop a concept note for review.
We will evaluate submitted concept notes and award grant funding to the highest scoring concept note.
Photos from top to bottom: AU-UN IT Photo/Abdi Dakan, USAID | DELIVER, AU/UN IST Photo/Abdi Dakan, Audrée Montpetit.
We will host a webinar at 11:00 a.m. to answer the submitted questions in real time. To attend the English webinar, please register here. To attend the French webinar, please join using this link when the webinar begins. The meeting ID for the French webinar is 781 892 955.
Following the webinar, we will post the video under the Resources section of this page and update the Frequently Asked Questions.
Shortlisted competitors will be invited to participate in a virtual co-creation activity. This activity will include both competitors for the Field Implementation Grant and top competitors from the Forecasting Prize that are not applying for the Field Implementation Grant. You may only participate with an invitation.
Following the co-creation activity, competitors for the Field Implementation Grant will be asked to complete a concept note.
* This competition is an addendum of the Global Health BAA. To refer to the original BAA, click here.
Note: You may download the data and accompanying dataset descriptions for the competition only after you have registered or logged into the online entry platform. Both the primary dataset and the secondary datasets are linked in the third section of the entry form.
The information provided on this website is not official U.S. Government information and does not represent the views or positions of the U.S. Agency for International Development or the U.S. Government.