- National Science Foundation, Grant Proposal Guide
- National Institute of Health, Grant Writing Tip Sheet
- National Aeronautics and Space Administration, Guidebook for Proposers
- NIH sample applications
- NSF Sample proposal
- NSF Guide to Proposal Writing
- Grant Proposal Tips
- NEH Virtual Grant Workshops
- NSF Broader Impact Statement Writing Tips
- NSF Grant writing tools
- NIH Grant Primer-Part one
- NIH Grant Primer-Part two
- NSF Resource Center
- NSF 101: 5 Tips on How to Talk to a Program Officer
For specific writing resources in different fields, reach out to us.
Rider Grants Development (Slides from bootcamp January 2025)
Become a Reviewer
Why? This will help you keep up to date with advances in the field but also provide you with helpful hints on writing stronger applications.
Tune-in: Upcoming Webinars
Building Access to Tomorrow’s Medicines: bringing together humans, robots, and artificial intelligence - A Workshop.
The National Academies of Sciences, Engineering, and Medicine will host a workshop exploring the transformative potential of artificial intelligence (AI) and machine learning (ML) in chemical sciences and drug discovery. Sponsored by the Chemical Sciences Roundtable, this event will bring together researchers, policymakers, and stakeholders to examine how AI tools can address data biases and democratize pharmaceutical research, potentially reducing drug development costs down from billions of dollars and decades of work. The workshop will discuss AI's role in expanding research capacity, particularly for rare diseases, while exploring critical challenges such as preventing healthcare disparities and ensuring access to advanced technological resources. Panel discussions and a foresight exercise will feature thought leaders examining the integration of AI, laboratory automation, and robotics to advance the chemical sciences' role in traditional drug discovery.
When: February 20-21, 2025 (all day)
Where: Virtual
Envision AI Conference
A student-led conference that explores the intersection of AI, tech, policy, and ethics, with the goal of educating, inspiring action, and shaping tomorrow’s leaders.
When: February 22, 2025 (8am)
Where: Frist Campus Center, Princeton NJ 08540
AI in action-Driving the shift to scalable AI
When: March 5, 2025 (10-11:30am)
Where: Virtual
The impact of international labor migration on the demographic dividend and development outcomes in low- and middle-income countries.
International labor migration, economic development, and the demographic dividend are key components of development impacting low- and middle-income countries. This webinar will discuss the relationship among these factors that may be used by policymakers, development agencies, NGOs, and other stakeholders to create a more resilient and inclusive future for labor migration. This event will outline the conditions necessary to take advantage of the demographic dividend and describe the roles that international labor migration can play in maximizing gains such as workforce development, remittances, investments, and technology transfer. This webinar is hosted by the National Academies’ Societal Experts Action Network in collaboration with the Committee on Population.
When: March 11, 2025 (1 p.m. - 2:30 p.m. ET)
Where: Virtual
Sustaining Innovation in New Jersey Climate Policy: Past, Present, and Future
Join us for a day-long dialogue regarding New Jersey’s state climate policies, where New Jersey has to go to reach its climate goals, challenges to reaching those goals, lessons we can learn from others, and opportunities that we might explore with leading local and national experts.
When: March 21,2025 (8:30am-5pm)
Where: Livingston Student Center, 84 Joyce Kilmer Ave, Piscataway, NJ 08854
Data Visualization in R for Researchers Who Do Not Use R
This session will explain the basics of data visualization in R using ggplot and demonstrate how to make boxplots, histograms, violin-plots, bar charts, and scatterplots. The workshop will also discuss how the grammar of graphics used for these basic plot types extends to the creation of more complex layered plots using ggplot. No prior knowledge of R is required.
When: April 15, 2025
Where: Virtual