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Oliver Kennedy 2022-02-22 11:05:07 -05:00
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db/cv/okennedy/grants.json
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@ -1,22 +1,22 @@
[
{ "title" : "AMOEBA: Bridging instance-based and generalized data processing tools",
"agency" : "NSF: IIS: III",
{ "title" : "MarginNotes: Support for semi-homogeneous data collection",
"agency" : "NSF: HNDS",
"role" : "PI",
"amount" : 1200000,
"effort" : "50%",
"status" : "submitted",
"start" : "08/15/2022", "end" : "08/14/2026",
"start" : "08/15/2022", "end" : "08/14/2025",
"type" : "grant",
"commitment" : { "summer": 0.25, "by_year": {
"commitment" : {
"by_year" : {
"2023" : 0.25,
"2024" : 0.25,
"2025" : 0.25,
"2026" : 0.25
}
"2025" : 0.25
}
},
"projects" : ["vizier"],
"copis" : [
"Jinjun Xiong"
"Jeff Good"
]
},
{ "title" : "SCC-PG: A Sustainable and Connected Community-Scale Food System to Empower Consumers, Farmers, and Retailers",
@ -36,7 +36,8 @@
"Debabrata Talukdar",
"Srirangaraj Setlur",
"Emmanuel Frimpong Boamah"
]
],
"summary" : "To establish a community-based data collection infrastructure; providing community members with useful feedback about food resources in their community, while encouraging community members to assist in ground truthing data about those resources. The central objective of this planning proposal is to demonstrate the feasibility of image-based data collection, using smartphone cameras combined with image processing to streamline the collections of statistics about the availability and price of fresh produce."
},
{ "title" : "HDR Institute: Institute for data enabled functional soft material innovation",
"agency" : "NSF: HDR",
@ -145,7 +146,8 @@
"pis" : ["Boris Glavic"],
"amount" : 466569
}
]
],
"summary" : "Incomplete and uncertain data are critical problems for statisticians. However, existing tools for managing data do not have no capacity for recording or analyzing unknown information -- largely because all known approaches to explicitly managing uncertain information are both slow and hard to use. This proposal seeks to discover new, general techniques for reliably analyzing uncertain information at speeds competitive with deterministic data processing tools."
},
{ "title" : "SCC-IRG Track 1: A Sustainable and Connected Community-Scale Food System to Empower Consumers, Farmers, and Retailers in Buffalo, NY",
"agency" : "NSF: CISE: CNS: SCC",
@ -329,7 +331,8 @@
"agency_id" : "IIS-1750460",
"urls" : {
"proposal" : "https://odin.cse.buffalo.edu/grants/2018-NSF-CAREER.pdf"
}
},
"summary" : "This proposal explores a declarative approach to uncertainty management where data management systems have flexibility to automate rote decisions like presentation formats and algorithms. Provenance connects potential sources of error (annotated through a variety of techniques) in data preparation workflows to the presentation layer; allowing the error to be communicated to the user, and its impact on the output to be summarized in a variety of different ways."
},
{ "title" : "Scalable Unification of Graph Analytics and Reasoning (SUGAR)",
"agency" : "DARPA",
@ -710,4 +713,4 @@
"status" : "retired",
"start" : "09/2012", "end" : "12/2012",
"type" : "gift" }
]
]