Additional resources

• National Science Foundation, Grant Proposal Guide
• NSF Sample proposal
• NSF Guide to Proposal Writing
• NSF Broader Impact Statement Writing Tips
• NSF Grant writing tools
• NSF Resource Center
• NSF 101: 5 Tips on How to Talk to a Program Officer
• Strategies for crafting a compelling STEM education research proposal
• NSF Budget-Part 1
• NSF Budget-Part 2
• NSF Biosketches
• SciEncv Tutorial
• Writing Research and Evaluation Plans for NSF Grants: How are they similar and different?* by Kavita Mittapalli, Ph.D.

For specific writing resources in different fields, reach out to us.

• National Institute of Health, Grant Writing Tip Sheet
• National Aeronautics and Space Administration, Guidebook for Proposers
• NIH sample applications
• Grant Proposal Tips
• NEH Virtual Grant Workshops
• NIH Grant Primer-Part one
• NIH Grant Primer-Part two
• A Guide to Quantitative Proposals​
• Communicating Your Qualitative Research Design
• Writing Successful Research Grant Proposals

Rider Grants-Part 1

Rider Grants-Part 2

Rider Grants-Part 3

Teaching Students in the Age of AI: Implications for the Psychology Classroom: An APA TOPSS Webinar: 
Ready or not, generative AI is here and is changing the way we learn, teach, and work. It is imperative for us to teach students AI literacy skills that they will need for their futures, including how to use it effectively and ethically. Keeping our heads in the sand or adopting an "AI is cheating" approach will not serve them well in the new AI world. In this webinar presenter Elizabeth Yost Hammer, PhD, of Xavier University of Louisiana will unpack the skills underlying AI literacy and explore how these skills can be enhanced in the introductory psychology classroom, while also demonstrating some AI tools. There will be time for interaction and question and answer so come with thoughts and questions! The webinar will be recorded and sent to all those who register.
October 7, 2025 7:30PM ET

Designing for the Future: Leveraging AI, UDL, and Flexible Course Design for Inclusive Learning: Explore how AI can support faculty in anticipating learner variability, designing flexible, inclusive courses, and fostering metacognition through reflective, growth-oriented rubrics. Grounded in Universal Design for Learning (UDL), participants will discover how to use AI tools to streamline design, embed choice, and support student thinking and ownership. Practical examples and strategies will be shared for immediate application.
October 14, 2025 2 p.m. ET

Make It Stick: The Science of Successful Learning: The authors of Make It Stick share evidence-based strategies to help social studies students lock in learning, retain knowledge, and make meaningful connections across topics. The most effective learning strategies might go against our instincts! You’ll rethink how students build understanding—and leave with classroom-ready tools to boost their learning skills and long-term retention.Giveaway: Ten randomly selected teachers who attend the session will receive a free copy of Make It Stick! No purchase necessary, offer open to US residents only.
October 23, 2025 7:30-8:45 p.m. ET

Leaning into Our Values: Incorporating GenAI into Our Teaching Practice: With the disruptive innovation of Generative AI, educational leaders and faculty alike face uncertainty with the disruptive innovation of this mutable technology. A key component to dealing with radical change is ‘leaning into’ and living according to our personal and professional values. This webinar will encourage participants to examine the roles our values play as we examine how GenAI impacts authorship, connection and critical analysis and meaning-making in our academic learning and workplace environments.
October 27, 2025 2 p.m. ET

Science Training Session: Bayesian Inference Without Tears: This webinar will showcase the theoretical advantages and practical feasibility of a Bayesian approach to data analysis. A general introduction to Bayesian inference and parameter estimation is followed by a more detailed treatment of Bayes factor hypothesis testing. Throughout the webinar, concrete demonstrations with the JASP program (jasp-stats.org) highlight the ease with which data analysts may answer important questions that cannot be addressed within the traditional frequentist paradigm. Potential pitfalls and solutions are discussed. No prior knowledge of Bayesian inference is required.
October 28, 2025 12:00PM ET