Replica is now accepting proposals for the 2023 Webinar series!
Replica is now accepting proposals for our 2023 Webinar series!
We enthusiastically encourage the Replica Community to submit proposals to participate in this year's series and present on important topics related to data-driven decision-making.
Each month, we are joined by hundreds of state and local government agencies, public policy leaders, transportation planners, AEC firms, and private companies who aim to use data to shape our places for the better. In 2022, more than 2,100 people attended our webinars from all over the country, and the Replica community continues to grow.
Our webinars are a great opportunity to showcase the groundbreaking work your agency or firm is doing, provide solutions to shared challenges across the industry, and grow your network
Replica Community Webinars are 60 minutes and involve one to three speakers. Depending on the topics, presenters may present the entire webinar or a portion of the webinar. Replica encourages that proposals recommend co-presenters from different organizations (e.g., an AEC firm partnering with their public sector client).
If your proposal is selected, you will be notified and given the opportunity to confirm the month chosen. Proposals are due by January 20, 2023.
In today’s competitive grant landscape, we need to use every tool at our disposal to tell a compelling story about how infrastructure dollars will positively impact our communities. Data is one crucial component of the grant application process and can help show, in a quantitative way, how funding will make a real impact on the ground.
The right kind of data – when comprehensive, trustworthy, and easily accessible – can give your grant applications the edge it needs to win competitive state and federal dollars for your projects. This is especially true when agencies must show how their projects will benefit historically disadvantaged communities – needing numbers, rather than anecdotes – to win much needed funding for those who need it most.