Project Grant 2226108
- This three-year $250,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund research at Purdue University to develop robust learning and inference protocols for mitigating information pollution on social computing platforms. The investigators will define novel natural language processing and algorithmic inference tasks to characterize the similarities and...
- Purdue University was awarded an $830,060 project grant from the National Science Foundation Division of Information and Intelligent Systems. The grant is part of the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Under this three-year award beginning October 1, 2021, Purdue University will conduct collaborative research on deep...
- Purdue University was awarded a $496,450 Project Grant from the National Science Foundation Division of Computer and Network Systems from January 1, 2022 to December 31, 2024. The grant supports research titled "CNS CORE: SMALL: AUTOMATED TESTING FOR DATA- AND COMPUTE-INTENSIVE DISTRIBUTED SYSTEMS THROUGH FEEDBACK-BASED FUZZING" under the Computer and Information Science and Engineering program (CFDA #47.070). This program aims to advance computing, communications, and information...
- Purdue University was awarded a $599,999 Project Grant from the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering (CFDA #47.070) program. The funding will support research to develop techniques for testing and detecting software upgrade failures in data-intensive distributed systems, which are critical components of many cloud-based computing services. Key objectives include implementing differential testing...
- Purdue University was awarded a $539,168 Project Grant from the National Science Foundation Division of Computer and Network Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support collaborative research titled "CORE: MEDIUM: BROAD-SPECTRUM FACIAL IMAGE PROTECTION WITH PROVABLE PRIVACY GUARANTEES" from October 1, 2021 through September 30, 2024. The research aims to advance the development and use of...
- This National Science Foundation (NSF) Project Grant award to Purdue University, under the Computer and Information Science and Engineering program (CFDA 47.070), focuses on developing novel technologies to enable robust, fair, and explainable data-driven decision-making systems. The $466,411 award, effective July 1, 2023 through June 30, 2028, will fund research to: 1) detect and mitigate biases in machine learning model outcomes, 2) assess the validity of data for learning fair and trustworthy...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $391,848 to Purdue University to develop holistic systems for securing the machine learning supply chain. The project aims to create tools to quantify trust in machine learning supply chains and verify security requirements across those supply chains. The research will also support the development of a diverse next generation of computer...
- Purdue University was awarded a $450,000 project grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) to advance trustworthy reinforcement learning techniques for online decision making. The three-year award beginning August 15, 2022 will support research into robustness, fairness, causality and explainability in dynamic pricing, dynamic assortment selection and two-sided market matching. The University will develop new theoretical tools,...
- This Project Grant award of $438,871 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with an award date of October 1, 2025 and a completion date of September 30, 2030, aims to address emerging security and ethical challenges in AI-integrated crowdsourcing. The key objectives of the project are: Developing trustworthy human-AI collaborative annotation systems by improving robustness against adversarial inputs, including...
- The National Science Foundation (NSF) awarded a $300,000 Project Grant under CFDA 47.070, the Computer and Information Science and Engineering (CISE) federal grant program, to The Pennsylvania State University (Penn State) to develop a real-time crowd-sourced geospatial digital twin (GDT) for cyber-physical systems. The project aims to enhance the delivery of vital information to smart mobile devices by leveraging crowd-sourced data and human-in-the-loop strategies. Key research areas include...
Purdue University received a $258,282 Project Grant award from the National Science Foundation Division of Information and Intelligent Systems to develop methods for mining reliable information from crowdsourced data. The grant is part of the NSF's Computer and Information Science and Engineering program, which supports research and education in computing, communications, and information science. Under the award, Purdue researchers will investigate how to effectively extract trustworthy information from noisy crowdsourced observations. They will develop approaches to leverage additional data sources like spatial-temporal data, user influence, and text to assess the reliability of crowdsourced observations. The researchers will also design privacy and incentive mechanisms to motivate active participation in crowdsourcing. Both theoretical and practical aspects of the proposed methods will be explored, with a focus on applications in transportation, healthcare, education, and related domains. Results of the research will be disseminated through October 2023.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $258.3k | 4/27/22 |