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, Praveen Kumar is the likely recipient of the following grants.
| Years |
Recipients |
Code |
Title / Keywords |
Matching
score |
| 2013 — 2018 |
Kumar, Praveen
Minsker, Barbara (co-PI) [⬀]
Dietze, Michael
Lee, Jong
Mchenry, Kenton |
N/AActivity Code Description:
No activity code was retrieved: click on the grant title for more information |
Cif21 Dibbs: Brown Dog @ University of Illinois At Urbana-Champaign
The information age has made it trivial for anyone to create and then share vast amounts of digital data. This includes unstructured collections made of data such as images, video, and audio to collections of born digital content made up of data such as documents and spreadsheets. While the creation and sharing of content has been made easy, its inverse, the ability to search and use the contents of digital data, has been made exponentially more difficult. In the physical analogue librarians have used the process of curation to standardize the format by which information is stored and diligently index holdings with metadata to allow both current and future generations to find information. Digitally this does not happen as that curation overhead is an unwelcomed bottleneck to the creation of more data. Though popular services such as modern search engines give the illusion that this is being done, this is largely over the portion of digital data that is text based and/or containing text metadata. Unstructured collections and contents trapped behind difficult to read file formats, however, make up a significant part of our collective digital data assets and are largely not accessible.
Science today not only uses but relies on software and digital content. It is well known that science is not only responsible for a significant amount of our digital data holdings but that also much of this is un-curated data, what the scientific community currently refer to as "long-tail" data. As such contemporary science, which relies on digital data and software, software which evolves and disappears quickly as underlying technology changes, is entering a realm where scientific results are no-longer easily reproducible and as such in essence no longer a science as science hinges on the fact that a documented procedure will result in the same result each time.
|
0.939 |