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Innovations at the Nexus of Food, Energy and Water Systems (INFEWS)

The overarching goal of INFEWS is to catalyze well-integrated interdisciplinary and convergent research to transform scientific understanding of the FEW nexus (integrating all three components rather than addressing them separately), in order to improve system function and management, address system stress, increase resilience, and ensure sustainability. The NSF INFEWS initiative is designed specifically to attain the following goals:

Deadline: 

Monday, March 6, 2017

Sloan Proposal for Stan

To support the development, maintenance, and dissemination of Stan, a probabilistic programming language that simplifies Bayesian modeling and data analysis.

Young Faculty Award (YFA)

The Defense Advanced Research Projects Agency (DARPA) is soliciting innovative research proposals in the areas of physical sciences, engineering, materials, mathematics, biology, computing, informatics, social science, and manufacturing of interest to DARPA's Defense Sciences Office (DSO), Microsystems Technology Office (MTO), and Biological Technologies Office (BTO). Interested PIs are strongly encouraged to submit an executive summary by November 1, 2016 to gauge DARPA's interest in the project.

Deadline: 

Tuesday, November 1, 2016

Critical Resilient Interdependent Infrastructure Systems and Processes (CRISP)

The goals of the Critical Resilient Interdependent Infrastructure Systems and Processes (CRISP) solicitation are to: (1) foster an interdisciplinary research community of engineers, computer and computational scientists and social and behavioral scientists, that creates new approaches and engineering solutions for the design and operation of infrastructures as processes and services; (2) enhance the understanding and design of interdependent critical infrastructure systems (ICIs) and processes that provide essential goods and services despite disruptions and failures from any cause, natural

Deadline: 

Wednesday, February 8, 2017

Documenting Endangered Languages - Doctoral Dissertation Research Improvement Grants (DEL-DDRIG)

This funding partnership supports projects to develop and advance knowledge concerning endangered human languages. Made urgent by the imminent death of roughly half of the approximately 7000 currently used languages, this effort aims to exploit advances in information technology to build computational infrastructure for endangered language research. The program supports projects that contribute to data management and archiving, and to the development of the next generation of researchers.

Increasing Openness and Transparency in Research

The purpose of this solicitation is to encourage and support a series of projects aimed at increasing transparency and accountability throughout the research life cycle, with a special emphasis on open access, to increase the speed of the flow of information from funded research to action.

Deadline: 

Wednesday, October 5, 2016

Interests: 

Computational Social Science

The Russell Sage Foundation’s initiative on Computational Social Science (CSS) supports innovative social science research that brings new data and methods to bear on questions of interest in its core programs in Behavioral Economics, Future of Work, Race, Ethnicity and Immigration, and Social Inequality. Limited consideration will be given to questions that pertain to core methodologies, such as causal inference and innovations in data collection.

Deadline: 

Monday, August 21, 2017

Modeling Social Behavior Research Grant (R01)

This FOA encourages applications for developing and testing innovative theories and computational, mathematical, or engineering approaches to deepen our understanding of complex social behavior. This research will examine phenomena at multiple scales to address the emergence of collective behaviors that arise from individual elements or parts of a system working together. Emergence can also describe the functioning of a system within the context of its environment.

Deadline: 

Wednesday, October 5, 2016

Science of Science and Innovation Policy Doctoral Dissertation Research Improvement Grant

The Science of Science & Innovation Policy (SciSIP) program supports research designed to advance the scientific basis of science and innovation policy. The program funds research to develop models, analytical tools, data and metrics that can be applied in the science policy decision making process and concern the use and allocation of scarce scientific resources. For example, research proposals may develop behavioral and analytical conceptualizations, frameworks or models that have applications across the broad array of science and innovation policy challenges.

Deadline: 

Monday, September 11, 2017
Friday, February 9, 2018
Monday, September 10, 2018

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