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Human Networks and Data Science – Infrastructure

Human Networks and Data Science – Infrastructure (HNDS-I). Infrastructure proposals will address the development of data resources and relevant analytic techniques that support fundamental Social, Behavioral and Economic (SBE) research. Successful proposals will, within the financial resources provided by the award, construct user-friendly large-scale next-generation data resources and relevant analytic techniques and produce a finished product that will enable new types of data-intensive research.

Deadline: 

Thursday, February 3, 2022
Thursday, February 2, 2023
Thursday, February 1, 2024
Thursday, February 6, 2025

Research on the Science and Technology Enterprise: Indicators, Statistics, and Methods Dissertation Grant

NCSES welcomes efforts by the research community to use NCSES or other data to conduct research on the S&T enterprise, develop improved survey methodologies that could benefit NCSES surveys, explore alternate data sources that could supplement NCSES data, create and improve indicators of S&T activities and resources, strengthen methodologies to analyze S&T statistical data, and explore innovative ways to communicate S&T statistics.

Deadline: 

Tuesday, January 18, 2022
Tuesday, January 17, 2023
Tuesday, January 16, 2024
Tuesday, January 21, 2025

Research on the Science and Technology Enterprise: Indicators, Statistics, and Methods

NCSES welcomes efforts by the research community to use NCSES or other data to conduct research on the S&T enterprise, develop improved survey methodologies that could benefit NCSES surveys, explore alternate data sources that could supplement NCSES data, create and improve indicators of S&T activities and resources, strengthen methodologies to analyze S&T statistical data, and explore innovative ways to communicate S&T statistics.

Deadline: 

Tuesday, January 18, 2022
Tuesday, January 17, 2023
Tuesday, January 16, 2024
Tuesday, January 21, 2025

Enabling Secure and Trustworthy Cyberspace (SaTC) CISE-SBE Interdisciplinary Collaborations

The National Science Foundation's (NSF) Secure and Trustworthy Cyberspace (SaTC) program aims to promote research on the fundamentals of security, privacy, and trustworthy cyberspace as a multidisciplinary subject that will lead to new knowledge and approaches to design, build, and operate cyber systems, protect persons, organizations, and existing infrastructure, and motivate and educate individuals about cybersecurity and privacy.

Deadline: 

Friday, December 10, 2021

Security, Society, and the State

The "Security, Society and the State" research programme reflects these contradictory trends. It targets new security-related issues that are prime examples of the post-Cold-War era but have been largely neglected in mainstream research. The programme is intended to encourage junior scholars to pursue unconventional research agendas that are nonetheless crucial, while providing senior scholars with the opportunity to focus intensively on work in progress for a limited period.

Deadline: 

Monday, November 29, 2021

Creating Email Archives from PDFs: The Covid-19 Corpus

Columbia University will contribute email archiving solutions on both ends of the email stewardship cycle — acquisition and preservation, on one end, and research access, on the other. The focus will be on government responses to the Covid-19 pandemic that are being released through FOIA requests made available online by journalists. Consequently, researchers are facing a number of challenges accessing these records and cannot easily determine the scope of arrangement of the collections, or find descriptions of the contents of the main components.

Trans-Atlantic Platform: Recovery, Renewal, and Resilience in a Post-Pandemic World

The Trans-Atlantic Platform Recovery, Renewal, and Resilience in a Post-Pandemic World (T-AP RRR) opportunity supports international, collaborative research projects that address key gaps in our understanding of the complex societal effects of COVID-19.

Deadline: 

Monday, July 12, 2021

Designing Accountable Software Systems

he Designing Accountable Software Systems (DASS) program solicits foundational research aimed towards a deeper understanding and formalization of the bi-directional relationship between software systems and the complex social and legal contexts within which software systems must be designed and operate.

Deadline: 

Monday, April 19, 2021

Collaborative Research: PPoSS: Planning: Scalable Systems for Probabilistic Programming

Statistical methods have had great successes for exploring data, making predictions, and solving problems in a wide range of problems. But in the world of big data, methods need to be scalable, so as to handle larger problems while modeling the real-world problems of messy and nonrepresentative data. The project?s novelties are developments in software and hardware facilitating full-stack integration of Bayesian inference to allow complex and realistic models to be fit to large datasets.

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