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Mobile Health: Technology and Outcomes in Low and Middle Income Countries (R21/R33 - Clinical Trial Optional)

The purpose of this Funding Opportunity Announcement (FOA) is to encourage exploratory/developmental research applications that propose to study the development, validation, feasibility, and effectiveness of innovative mobile health (mHealth) interventions or tools specifically suited for low- and middle-income countries (LMICs) that utilize new or emerging technology, platforms, systems, or analytics.

Deadline: 

Tuesday, November 19, 2019
Thursday, September 24, 2020

Collaboratory Fellows Fund

The program will award grants to pairs of instructors, one with disciplinary/area expertise and one with data-science/computational expertise, to collaborate on the development and teaching of new material that embeds data or computational science into a more traditional domain or the reverse, embeds business, policy, cultural and ethical topics into the context of a data or computer science curriculum. The new content should use pedagogy, instruction, and delivery methods that are fitting for the specific student cohort.

Deadline: 

Friday, April 26, 2019

NSF Program on Fairness in Artificial Intelligence (AI) in Collaboration with Amazon (FAI)

NSF and Amazon are partnering to jointly support computational research focused on fairness in AI, with the goal of contributing to trustworthy AI systems that are readily accepted and deployed to tackle grand challenges facing society. Specific topics of interest include, but are not limited to transparency, explainability, accountability, potential adverse biases and effects, mitigation strategies, validation of fairness, and considerations of inclusivity. Funded projects will enable broadened acceptance of AI systems, helping the U.S.

Deadline: 

Friday, May 10, 2019

Secure and Trustworthy Cyberspace Frontiers (SaTC Frontiers)

The Secure and Trustworthy Cyberspace (SaTC) program welcomes proposals that address cybersecurity and privacy, and draw on expertise in one or more of these areas: computing, communication and information sciences; engineering; economics; education; mathematics; statistics; and social and behavioral sciences. Proposals that advance the field of cybersecurity and privacy within a single discipline or interdisciplinary efforts that span multiple disciplines are both encouraged.

Deadline: 

Friday, July 5, 2019

Future of Work at the Human-Technology Frontier: Core Research

The Future of Work at the Human-Technology Frontier (FW-HTF), one of the Big Ideas, is one mechanism by which NSF is responding to the challenges and opportunities for the future of jobs and work.

Deadline: 

Wednesday, March 6, 2019

Pioneering Ideas and a Culture of Health

The goal of the Pioneering Ideas Brief Proposal funding opportunity is to explore; to look into the future and put health first as we design for changes in how we live, learn, work and play; to wade into uncharted territory in order to better understand what new trends, opportunities and breakthrough ideas can enable everyone in America to live the healthiest life possible.

Deadline: 

Wednesday, October 17, 2018

Scholarly Communication

To empower researchers by supporting the development and adoption of new resources for managing the increasingly diverse array of digital communication channels, enabling scientists to more effectively locate relevant research, network with other researchers, and disseminate their work to the scientific community and the public.

Data & Computational Research

To accelerate scientific discovery by helping researchers fully exploit the opportunities created by recent advances in our ability to collect, transmit, analyze, store, and manipulate data.

Doctoral Dissertation Research: The direct and indirect effect of innovation subsidies

Government subsidies to support innovation in firms are a widespread policy. However, little is known about their effectiveness to promote technological upgrading and boost firm performance in developing countries. The existing rigorous studies about this type of intervention are focused on developed countries and high-tech industries, and infer technological improvement from patents and R&D expenditure.

Doctoral Dissertation Research: Recovering the Polyvalent Genealogies of Machine Learning, 1948 - 2017

Machine learning techniques currently make "high-stakes" judgments in areas as diverse as criminal justice, credit risk, social welfare, hiring, and congressional redistricting. Such techniques make these decisions using patterns learned from historical social data. Emphasis on prediction rather than the circumstances of dataset creation have led to machine learning systems that preferentially target vulnerable populations for disparately adverse social judgments while making it more difficult for those subject to these decisions to protest unfair treatment.

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