We are testing a new system for linking grants to scientists.
The funding information displayed below comes from the
NIH Research Portfolio Online Reporting Tools and the
NSF Award Database.
The grant data on this page is limited to grants awarded in the United States and is thus partial. It can nonetheless be used to understand how funding patterns influence mentorship networks and vice-versa, which has deep implications on how research is done.
You can help! If you notice any innacuracies, please
sign in and mark grants as correct or incorrect matches.
Sign in to see low-probability grants and correct any errors in linkage between grants and researchers.
High-probability grants
According to our matching algorithm, Adam Michael Fudickar is the likely recipient of the following grants.
| Years |
Recipients |
Code |
Title / Keywords |
Matching
score |
| 2016 — 2018 |
Ketterson, Ellen (co-PI) [⬀]
Brown, Geoffrey [⬀]
Fudickar, Adam |
N/AActivity Code Description:
No activity code was retrieved: click on the grant title for more information |
Eager: Novel Ultralight Sensors For Avian Migration and Movement Studies
The goal of this project is to develop, test, and deploy novel sensors that will enable the study of activity and migration of small songbirds (20-50 grams). The sensors required for such small animals require weight and energy budgets (1 gram and 1 micro Watt, respectively) below most low-energy devices and must survive in challenging environments and collect useful data over many months. This project has the potential to significantly impact the science of animal behavior because many important species cannot be effectively monitored with existing technologies -- for example roughly half of bird species weigh less than 50 grams.
While the focus of this project is to develop the technologies that will enable other researchers to study the behavior of small animals, the project will test these devices on a specific model species (Dark-eyed Juncos) in order to enhance the understanding of the variation of timing on reproduction, migration, and biodiversity. Finally, while the target application for this project is animal biology, many of the fundamental technical problems are common to general low-energy sensing problems. For example, a key problem is detecting the onset of interesting events using extremely low energy levels prior to expending the significantly higher levels of energy needed to collect high resolution data.
|
0.915 |