NSF Funding Opportunities for Cyber-enabled Research - PowerPoint Presentation

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NSF Funding Opportunities for Cyber-enabled Research

Vasant G HonavarProfessor of Information Sciences and TechnologyProfessor of Computer ScienceProfessor of Bioinformatics and GenomicsProfessor of NeuroscienceDirector, Center for Big Data Analytics and Discovery InformaticsAssociate Director, Institute for CyberscienceCouncil Member, Computing Community ConsortiumExecutive Committee Member, Northeast Big Data Hub

Information &

Intelligent Systems

Computing & Communication Foundations

Computer & Network

Systems

Advanced

Cyberinfrastructure

Acknowledgements: Some of the material is adapted from public presentations given by CISE AD

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Research Interests

Machine learning: Statistical, information theoretic, linguistic and structural approaches to machine learning; learning predictive relationships from sequential, graph-structured, multi-relational, multimodal, partially specified, partially labeled, distributed data, linked dataKnowledge Representation and Inference: Logical, probabilistic, and decision-theoretic knowledge representation and inference; federated knowledge bases; selective information sharing; federated services; representing and reasoning about qualitative preferences; representing and reasoning about causal effects Applied InformaticsBioinformatics: Macromolecular structure and function, analysis, inference, modeling, and prediction of macromolecular (protein-protein , protein-RNA, and protein-DNA) interaction networks and interfaces, immune networks, etc.

Health Informatics:

Predictive and causal modeling of health outcomes from patient (health records, genomics, socio-economic, environmental) data

Brain Informatics: Modeling and analysis of structure and dynamics of brain networks from fMRI data

Algorithmic Discovery: Representations and processes that underlie scientific research, including construction of communicable models and shareable representations, causal inference from disparate studies

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The

mission of Computing Research Association's Computing Community Consortium (CCC) is to catalyze the computing research community and enable the pursuit of innovative, high-impact research.

Computing Community Consortium

Promote Audacious Thinking:

Community Initiated Visioning Workshops

Blue Sky Ideas tracks at conferences

Inform Science Policy:

Outputs of visioning activities

Task Forces – AI, Data and Computing,

IoT

, Health IT, Privacy

…

Communicate to the Community:

CCC Blog -

http://

cccblog.org

/

Great Innovative Ideas

White Papers

Promote Leadership and Service:

Industry – Academic Collaborations

Leadership in Science Policy Institute

Postdoc Best Practices

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CISE Research: Addressing

National PrioritiesNationalInitiativesNational Robotics Initiative

Understanding the Brain

Big Data R&D

National Strategic Computing Initiative

Smart

and Connected Communities

CS for All

A

dvanced Wireless Initiative

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CISE Organization

CISE Directorate

Jim Kurose, AD

Erwin Gianchandani,

DAD

Advanced

Cyberinfrastructure

(ACI)

Irene

Qualters

, DD

Data

High Performance Computing

Networking/ Cybersecurity

Software

Computing and

Communication

Foundations (CCF)

Rao

Kosaraju

, DD

Algorithmic

Foundations

Communication and Information Foundations

Software and Hardware Foundations

Information and Intelligent Systems (IIS)

Lynne Parker, DD

Cyber Human Systems

Information Integration and Informatics

Robust Intelligence

Senior Advisor for

Research

Cyberinfrastructure

Peter

Arzberger

Senior Advisor for

Data Science

Chaitan

Baru

Computer and Network Systems (CNS)

Ken, Calvert,

DD

Computer Systems Research

Networking Technology and Systems

Education and Workforce Development

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NSF Support of Academic Basic Research

Source: NSF/NCSES, Survey of Federal Funds for Research & Development, FY 2014(as a percentage of total federal support)

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Who is the CISE community?

Vasant Honavar, November 28, 2016, Presentation given to ICS Faculty

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Overview of CISE Support

CISE Supports: Investigator-initiated research in all areas of computer and information science and engineeringCutting-edge national computing and information infrastructure for research and educationEducation and training of the next generation of computer scientists and engineersThrough:CISE Core programsCISE Cross-cutting programs

NSF Cross-cutting programs

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Supports the acquisition, development, and provision of state-of-the-art cyber-infrastructure resources, tools, and services essential to the conduct of 21

st century science and engineering research and educationData: Support scientific communities in the sharing and archiving of, as well as computing with data by creating building blocks to address common community needs in data infrastructure.High Performance Computing: Enable petascale computing; provide open-science community with state-of-the-art HPC assets ranging from loosely coupled clusters to large scale instruments; develop an integrated scientific HPC environment. Networking and Cybersecurity: Invest in campus network improvements and re-engineering to support a range of activities in modern computational science. Support transition of cybersecurity

research to practice.

Software: Transform innovations in research and education into sustained software resources that are an integral part of

cyberinfrastructure.

Advanced

Cyberinfrastructure

(ACI)Vasant Honavar, November 28, 2016, Presentation given to ICS Faculty

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Supports research and education projects that explore the foundations of computing and communication devices.

Algorithmic Foundations (AF): Innovative research characterized by algorithmic thinking and algorithm design, accompanied by rigorous mathematical analysis.Communications and Information Foundations (CIF): Transformative research addressing the theoretical underpinnings and current and future enabling technologies for information acquisition, transmission, and processing in communication and information networks. Software and Hardware Foundations (SHF): Foundational research essential to advance the capability of computing systems, including software and hardware components, systems, and other artifacts.Computing

& Communication Foundations (CCF)

Vasant Honavar, November 28, 2016, Presentation given to ICS Faculty

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Computer and Network Systems (CNS)

Supports research and education activities

inventing

new computing and networking

technologies and exploring

new ways to make use of existing technologies

.

Computer Systems Research (CSR):

Transformative research on fundamental scientific and technological advances leading to the development of future generation computer systems, including new

architectures; distributed real-time embedded devices

; pervasive, ubiquitous and mobile computing; file and storage systems; operating systems; reliable, fault-tolerant and secure hard/middle/software.

Networking Technology and Systems (NeTS): Transformative research on fundamental scientific and technological advances leading to the understanding, development, engineering, and management of future-generation, high

-performance computer networks.

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IIS focuses on the inter-related roles of people, computers, and information.

IIS supports transformative research and education activities that Develop new knowledge about the role of people in the design and use of information technologyIncrease our capability to create, manage, and understand data and information in circumstances ranging from personal computers to globally-distributed systemsAdvance our understanding of how computational systems can exhibit the hallmarks of intelligenceIIS manages several cross-agency programs Big Data Science and EngineeringNational Robotics InitiativeSmart and Connected HealthCyberlearningInformation and Intelligent

Systems (IIS)

Vasant Honavar, November 28, 2016, Presentation given to ICS Faculty

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Cyber-Human Systems (CHS)

CHS research brings together knowledge of computing and communications and theoretical and practical understanding of behavioral, social and design sciences to better develop systems that Amplify individual human capabilities Enrich the abilities, lives and self-sufficiency of people with disabilitiesEnhance virtual collaborations, to enable and improve scientific, engineering and education production and innovation.Augment people and computers' ability to work together to do things collectively that neither could do separately.Help advance society's cohesiveness, innovativeness, security and sustainability.

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Information Integration and Informatics (III)

III supports research needed to realize the full transformative potential of data through fundamental advances in processes and technologies for Creation, management, archiving, use, reuse, analysis, visualization of Disparate data including text, images, speech, multi-media social media, spatial, temporal and spatiotemporal dataProcesses and workflows Knowledge, beliefs, preferencesExtracting useful information and actionable knowledge from dataIntegrating data, hypothesis, predictive modeling and knowledge-based inference, experimentation, and simulation to support discoveryEnergy, computing resource and memory-conserving approaches to storing, processing, managing dataQuantifying and managing uncertainty Personalization, interaction, contextualization, collaborationInnovations in Informatics

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Robust Intelligence (RI)RI encompasses all aspects of the computational understanding and modeling of intelligence

RI supportsAdvances in artificial intelligence, computer vision, human language, robotics, machine learning, multi-agent systems, computational neuroscience, cognitive scienceIntegration of advances across multiple areas to achieve robust intelligent behavior in complex, uncertain, dynamic, realistic contexts

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Infrastructure Programs

Campus Cyberinfrastructure (CC*)Data Driven Multi-Campus/Multi-Institution Model Implementations awards: $3 million for up to 4 yearsCyber Team awards: $1.5 million for up to 3 yearsData Infrastructure Building Blocks (DIBBs)R

obust and shared data-centric

ACI

capabilities, to accelerate interdisciplinary and collaborative data-intensive research: $4 million for up to 4 years

e.g., Penn State-Rutgers Virtual Data Collaboratory

Petascale

Computing Resource Allocations (PRAC)

Access to Blue Waters Software Infrastructure for Sustained Innovation (SI2-SSE&SSI)

Scientific Software Elements (SSE):

create and deploy robust software elements for which there is a demonstrated science need (500k for 3 years)Scientific Software Integration (SSI): interdisciplinary

teams organized around the development and application of common software infrastructure to serve a science and engineering community (200k to $1 million per year for 3-5 years)CISE

Research Infrastructure

(CRI) (preliminary proposals required)Institutional infrastructure

Community infrastructureMajor Research Instrumentation (MRI)

Acquisition or

development

of

a single research instrument for shared inter- and/or intra-organizational

use ($100k - $4 million)

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CISE Cross-Cutting Programs

Smart and Connected Health (SCH)Advances in computing, engineering and behavioral and social science, to transform healthcare and improve population healthCyberlearning and Future Learning TechnologiesDesigning and implementing technologies to aid and understand learning.Cyber-Physical Systems (CPS) Integrating computation, communication, and control into physical systemsExploiting Parallelism and Scalability (XPS)

Groundbreaking research leading to a new era of parallel computing

Smart and Connected Communities (SCC)

Multi-disciplinary research on the science and engineering of smart and connected communities to enhance quality of life.

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CISE Cross-Cutting Programs

Expeditions in Computing Transformative research at the frontiers of computing and information science $10 million over 5 yearsCore Techniques and Technologies for Advancing Big Data Science & Engineering (BIG DATA) Developing tools to manage and analyze data in order to extract knowledge from data National

Robotics Initiative (NRI)

Developing

and using robots that work alongside, or cooperatively with,

peopleCollaborative Research in Computational Neuroscience (CRCNS)Computational neuroscience research on a broad range of topics

Integrative Strategies for Understanding Neural and Cognitive Systems (NSF-NCS

) Neuromorphic, brain inspired systems

Individuality and VariationCognitive and Neural Processes in Realistic, Complex EnvironmentsData-Intensive Neuroscience and Cognitive Science.

Advanced Biological Infrastructure (ABI)

Development of informatics tools and resources to advance

or transform research in biology

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Provides the CISE community an opportunity to pursue ambitious, fundamental research agendas that promise to define the future of computing and information 

.Successful projects bring together teams of investigators with diverse expertise within or across departments or institutions to identify compelling, transformative research agendas that seek disruptive innovations in CISE.Expeditions-in-Computing

Exploring scientific frontiers that promise transformative

innovations in computing

Funding: up to $2,000,000 per yearfor five years

Limit:

1 Expeditions Proposal per Investigator

Deadlines: Preliminary Proposal (required): April 2018

Full Proposal: January 2019

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Cyber-Physical Systems (CPS)

Deeply integrating computation, communication, and control into physical systemsAims to develop the core system science needed to engineer complex “smart” cyber-physical systems.Serves multiple key national priorities.Coordinated across NSF and with other government agencies.

Project Types:

Breakthrough Projects

up

to $500,000 over 3 yearsSynergy P

rojects 

$500,001 to $1,000,000 over 4 years

Frontiers Projects$1,000,001 to $7,000,000 over 4 to 5 years

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CISE’s 2017 budget priorities

Continued strong commitment

to

C

ore research programs

Cross-cutting programs

New CISE programs in 2017:Smart and Connected CommunitiesSmart and Autonomous SystemsNational Strategic Computing Initiative

Data for Scientific Discovery and Action (D4SDA)

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Smart & Connected Communities (S&CC)

Partnership among CISE, EHR, ENG, GEO, SBEImproving quality of life, health, well-being and learning in communitiesFundamental research: integrative, socio-technical, community engagementAdvanced networking; physical sensors/devices; large-scale data management, analysis, and decision making

Builds on previous investments in Urban Science, US

Ignite

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Smart & Autonomous Systems (S&AS)

Research in smart and autonomous systems lies at interstices of NRI and CPSNRI: “co-robots” – robots that work alongside, cooperatively with peopleCPS: deeply integrating computation, communication, control into physical systems

Fundamental research on intelligent physical systems that sense, perceive, and operate in

dynamic, uncertain and unanticipated environments

Exceeding today’s capabilities in adaptability, autonomy, functionality, efficiency, reliability, safety, usability, recoverability, recyclability

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National

“Whole-of-government”, “whole-of-Nation” approachPublic/private partnership with industry, academiaStrategicLeverage beyond individual programs Long-time horizon (decade or more)

National Strategic Computing Initiative (NSCI)

Maximize HPC benefits for economic competitiveness, scientific

discovery

Computing

HPC: most advanced, capable computing technology available

Multiple styles of computing, and all necessary infrastructure

theory and practice, software and hardware

Initiative

Above baseline effort

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Big Data Regional Innovation Hubs

Northeast

: Columbia University

West

: UCSD, UC Berkeley, UW

South

: NC Capel Hill, Georgia Tech

MidWest

: UIUC

Goal: ignite new

Big Data public-private partnerships

across the Nation

Hub:

Consortium

from academia, industry, gov’t

focus on Big Data challenges, opportunities for region

Support breadth of local stakeholders,

achieve common Big Data goals not be possible alone

Vasant Honavar, November 28, 2016, Presentation given to ICS Faculty

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Geographic Regions

Hubs

1

Priority Areas

Spokes

2

Partnerships

Projects

3

Big Data Spokes of the

BDHubs

Each Hub supports sub-communities organized around

topical areas of interest

(“Spokes”)

BDSpokes

solicitation supports

collaborative projects

surfaced or developed by the Hubs and Spokes

AUTOMATION

SHARING ASSETS

GRAND CHALLENGES

Themes of BD Spokes Solicitation

Two award categories:

Planning Grants

(100K for 1 year) and

Spokes

($1M total over 3 years)

10 Spokes, 10 Planning Grants funded

Penn State involved in 3 (one spoke on health data, one planning grant on privacy, one on security )

Vasant Honavar, November 28, 2016, Presentation given to ICS Faculty

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Geographic Regions

Hubs

1

Priority Areas

Spokes

2

Partnerships

Projects

3

Big Data Spokes of the BD Hubs

Each Hub supports

subcommitees

on

topical areas of interest

(“Spokes”)

BDSpokes

solicitation aims to support

collaborative projects

surfaced or developed by the Hubs and Spokes

Two award categories:

Planning Grants

(100K for 1 year) and

Spokes

($1M total over 3 years)

Total anticipated funding: $10M

10 Spokes, 10 Planning Grants anticipated

Vasant Honavar, November 28, 2016, Presentation given to ICS Faculty

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NSF “Big Ideas”

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NSF “Big Ideas”

RESEARCHIDEASHarnessing Data for 21st

Century Science and Engineering

Shaping the new Human – Technology Frontier

Understanding the Rules of Life: Predicting PhenotypeThe Quantum Leap: Leading the Next Quantum Revolution

Navigating the New ArcticWindows on the Universe: The Era of Multi-messenger Astrophysics

Growing Convergent Research at NSF

Mid-scale Research Infrastructure

NSF 2050

INCLUDES

PROCESS

IDEAS

*Video of NSB presentation

and discussion is at

:http://www.tvworldwide.com/events/nsf/160505/globe_show/default_go_archive.cfm?gsid=2957&type=flv&test=0&live=

0

(the presentation/discussion starts about

20 minutes

into this video

)

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Paul Morris OD/OIA

An Interconnected NSF – Solving the Big Idea Challenges Together Vasant Honavar, November 28, 2016, Presentation given to ICS Faculty

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Research

across all NSF DirectoratesEducational pathwaysSystems foundations data-centric algorithms, systems

Data-intensive research

in all areas of science and engineering

Harnessing the Data Revolution

Advanced cyberinfrastructure

ecosystem

Accelerating

data-

intensive research

Innovations grounded

in an education-research-based

framework

Theoretical foundations

mathematics, statistics, computer & computational science

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Partnerships

societal org’sFederal agenciesindustryuniversitiesl

ocal gov’t

international

CISE

Numerous on-going solicitations

NITRD: 13 NSFs (12 CISE) participate in NITRD WGs

NITRD: R&D Strategic plans

OSTP: Public access

Partnerships

build capacity

, leverage resources, increase the speed of translation

from discovery to innovation

New 2016 activities

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NITRD R&D Strategic Plans

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The Human-Technology Frontier

Computing will be embedded around, on, and in us. These engineered systems will be more pervasive, more personal, more intimate.Understanding how constantly evolving technologies are actively shaping our lives and how we in turn can shape those technologies, especially in the world of work understand benefits, risks of new technologies: efficiency, quality, productivity, human dynamics science and engineering: creating technologies that promise to enhance work lives Education: changing workplace

demands changing workforce

Vasant Honavar, November 28, 2016, Presentation given to ICS Faculty

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NSF-wide Opportunities

Faculty Early Career Development (CAREER)Integrated NSF Support for Interdisciplinary Research and Education (INSPIRE)Grants for Rapid Response Research (RAPID)EArly-concept Grants for Exploratory Research (EAGER)Research Experiences for Undergraduates (REU)Conferences, Summer Schools, and WorkshopsInternational Collaborations

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Engaging with NSF

Submit well-crafted, innovative research proposalsSubscribe to NSF mailing list to keep yourself informed of new opportunitiesLet your PD know when your research yields especially noteworthy results or impactServe on proposal review panelsConsider participating in the Computing Community Consortium: http://www.cra.org/cccConsider serving as an NSF program director or a division director