The Federal Highway Administration (FHWA) issued a Presolicitation Notice for its 2018 Exploratory Advanced Research Program’s Broad Agency Announcement (BAA). It is expected that the BAA will be released soon.
The Federal Highway Administration (FHWA) is soliciting for proposals under its EAR Program for research projects that could lead to transformational changes and truly revolutionary advances in highway engineering and intermodal surface transportation in the United States. This program supports scientific investigations and studies that advance the current knowledge and state-of-the-art in the sciences and technologies employed in the planning, design, construction, operation, maintenance and management of the nation’s highways. Strategically, this research will enable and expedite the development of revolutionary approaches, methodologies, and breakthroughs required to drive innovation and greatly improve the efficiency of highway transportation.
The FHWA anticipates sponsoring research addressing the following four topics:
(1) Mobile Ad Hoc etworks (MANETs);
(2) Video Analytics;
(3) Artificial Realistic Data and
(4) Supplementary or Alternative Materials for Highway Pavements and Structures.
Please see the BAA solicitation for more information.
Submitted by Katie Dey on February 22nd, 2018
January 4, 2018 3:00 PM to January 4, 2018 4:00 PM EST
January 8, 2018 3:00 PM to January 8, 2018 at 4:00 PM EST
Due to overwhelming response for the first webinar, the S&CC program will be hosting a second S&CC Webinar on January 8, 2018 at 3 PM EST. Pre-registration is required. If you are attending the first – there is no reason to re-register
The S&CC program is supported by NSF’s Directorates for Computer and Information Science and Engineering (CISE), Education and Human Resources (EHR), Engineering (ENG), Geosciences (GEO), and Social, Behavioral, and Economic Sciences (SBE). Awards may be requested for total budgets ranging from $750,000 to $3,000,000 for periods of up to four years. It should be noted that Letters of Intent are required and are due January 30, 2018.
The goal of the Smart & Connected Communities (S&CC) program solicitation is to accelerate the creation of the scientific and engineering foundations that will enable smart and connected communities to bring about new levels of economic opportunity and growth, safety and security, health and wellness, and overall quality of life. This goal will be achieved through integrative research projects that pair advances in technological and social dimensions with meaningful community engagement.
For information regarding the S&CC program including details on the upcoming webinar, S&CC activities and additional funding opportunities, please visit www.nsf.gov/scc.
The goal of the Smart & Connected Communities (S&CC) program solicitation is to accelerate the creation of the scientific and engineering foundations that will enable smart and connected communities to bring about new levels of economic opportunity and growth, safety and security, health and wellness, and overall quality of life. This goal will be achieved through integrative research projects that pair advances in technological and social dimensions with meaningful community engagement.
For the purposes of this solicitation, communities are defined as having geographically-delineated boundaries—such as towns, cities, counties, neighborhoods, community districts, rural areas, and tribal regions—consisting of various populations, with the structure and ability to engage in meaningful ways with proposed research activities. A “smart and connected community” is, in turn, a community that synergistically integrates intelligent technologies with the natural and built environments, including infrastructure, to improve the social, economic, and environmental well-being of those who live, work, or travel within it.
Successful S&CC projects are expected to pursue Integrative research that addresses the technological and social dimensions of smart and connected communities and undertake meaningful community engagement that integrates community stakeholders within the project. A management plan that summarizes how the project will be managed across disciplines, institutions, and community entities, and an evaluation plan for assessing short-, medium-, and long-term impacts of the proposed activities are required.
Proposals should engage the multidisciplinary perspectives of scientific areas supported by NSF’s Directorates for Computer and Information Science and Engineering (CISE), Education and Human Resources (EHR), Engineering (ENG), Geosciences (GEO), and Social, Behavioral, and Economic Sciences (SBE). Awards may be requested for total budgets ranging from $750,000 to $3,000,000 for periods of up to four years.
To Join the webinar, please register at: https://nsf.webex.com/nsf/onstag/g.php?MTID=e9e86d38e55fe22dd99fe233e9eef3612
by 11:59pm EDT on Wednesday January 3, 2018
After your registration is accepted, you will receive an email with a URL to join the meeting. Please be sure to join a few minutes before the start of the webinar. This system does not establish a voice connection on your computer; instead, your acceptance message will have a toll-free phone number that you will be prompted to call after joining. Please note that this registration is a manual process; therefore, do not expect an immediate acceptance. In the event the number of requests exceeds the capacity, some requests may have to be denied.
The webinar presentation, audio file and transcript will be available below under "Public Attachments" after webinar is over.
This event is part of Webinars/Webcasts.
Meeting Type
Webcast
Contacts
Bruce Hamilton, email: bhamilto@nsf.gov
Anthony Kuh, (703) 292-2210, email: akuh@nsf.gov
Cynthia Chen, (703) 292-2563, email: qchen@nsf.gov
Rahul T. Shah, (703) 292-2709, email: rshah@nsf.gov
Sara Kiesler, 703 292 8643, email: skiesler@nsf.gov
David Corman, (703) 292-8754, email: dcorman@nsf.gov
Wendy J. Nilsen, (703) 292-2568, email: wnilsen@nsf.gov
Meghan Houghton, (703) 292-4449, email: mehought@nsf.gov
Richard J. Malak, (703) 292-7902, email: rmalak@nsf.gov
Sylvia Spengler, (703) 292-8930, email: sspengle@nsf.gov
Radhakishan Baheti, (703) 292-8339, email: rbaheti@nsf.gov
Jonathan Sprinkle, (703) 292-8719, email: jsprinkl@nsf.gov
John C. Cherniavsky, (703) 292-5136, email: jchernia@nsf.gov
Sunil G. Narumalani, (703) 292-4995, email: snarumal@nsf.gov
Robin L. Dillon-Merrill, 703-292-4921, email: rdillonm@nsf.gov
Tatiana (Tanya) Korelsky, (703) 292-8930, email: tkorelsk@nsf.gov
NSF Related Organizations
Directorate for Computer & Information Science & Engineering
Submitted by xavier bellekens on October 30th, 2017
Dear Colleagues,
Please see below the Call for Papers for ACM SafeThings 2017. We enthusiastically look forward to your submissions on advancements in the safety of the Internet of Things ecosystem.
1st ACM Workshop on the Internet of Safe Things (SafeThings 2017)
https://www.safethings.info/
November 5, 2017 at TU Delft, The Netherlands
Co-located with ACM SenSys 2017
As the traditionally segregated systems are brought online for next generation connected applications, we have an opportunity to significantly improve the safety of legacy systems. For instance, insights from data across systems can be exploited to reduce accidents, improve air quality and support disaster events. Cyber-physical systems (CPS) also bring new risks that arise due to the unexpected interaction between systems. These safety risks arise because of information that distracts users while driving, software errors in medical devices, corner cases in data-driven control, compromised sensors in drones or conflicts in societal policies.
Accordingly, the Internet of Safe Things workshop (or SafeThings, for brevity) seeks to bring researchers and practitioners that are actively exploring system design, modeling, verification, authentication approaches to provide safety guarantees in the Internet of Things (IoT). The workshop welcomes contributions that integrate hardware and software systems provided by disparate vendors, particularly those that have humans in the loop. As safety is inherently linked with the security and privacy, we also seek contributions in security and privacy that address safety concerns. With the SafeThings workshop, we seek to develop a community that systematically dissects the vulnerabilities and risks exposed by these emerging CPSes, and create tools, algorithms, frameworks and systems that help in the development of safe systems.
SafeThings workshop covers safety topics as it relates to an individual’s health (physical, mental), the society (air pollution, toxicity, disaster events), or the environment (species preservation, global warming, oil spills). The workshop considers safety from a human perspective, and thus, does not include topics such as thread safety or memory safety in its scope.
Our workshop will cover, but not limit itself to, the following subject categories:
- Verification of safety in IoT platforms
- Privacy preserving data sharing and analysis
- Compliance with legal, health and environmental policies
- Integration of hardware and software systems
- Conflict resolution between IoT applications
- Safety in human-in-the-loop systems
- Support for IoT development - debugging tools, emulators, testbeds
- Usable security and privacy for IoT platforms
- Resiliency against attacks and faults
- Secure connectivity in IoT
Our workshop will cover, but not limit itself to, the following domains: autonomous vehicles and transportation infrastructure; medical CPS and public health; smart buildings, smart grid and smart cities.
Submission Types:
We solicit two types of original submissions:
* Regular papers for oral presentation (6 pages)
* Technical posters and demos (1 page)
Important Dates:
Abstract Submission Deadline: July 23, 2017 (11.59 PM AoE)
Paper Submission Deadline: July 30, 2017 (11.59 PM AoE)
Poster and demo submission deadline: July 30, 2017 (11.59 PM AoE)
Acceptance Notification: August 21, 2017
Camera-ready versions: September 10, 2017
Organizing Committee:
General Chairs:
Patrick Tague (Carnegie Mellon University)
Bharathan Balaji (University of California, Los Angeles)
Program Chairs:
Mani Srivastava (University of California, Los Angeles)
Yuan Tian (Carnegie Mellon University)
Poster and Demo Chair:
Houssam Abbas (University of Pennsylvania)
Publication Chair:
Rasit Eskicioglu (University of Manitoba)
SenSys Workshop Chair:
Xiaofan (Fred) Jiang (Columbia University, USA)
Technical Program Committee:
Blase Ur (University of Chicago)
Xiao Feng Wang (Indiana Bloomington)
Xinyu Xing (Penn State)
Paulo Tabuada (University of California, Los Angeles)
Supriyo Chakraborty (IBM Research)
Muhammad Naveed (University of Southern California)
Yasser Shoukry (University of California, Berkeley)
Yuvraj Agarwal (Carnegie Mellon University)
Rajesh Gupta (University of California, San Diego)
Brad Campbell (University of Virginia)
John Stankovic (University of Virginia)
Madhur Behl (University of Virginia)
Houssam Abbas (University of Pennsylvania)
Insup Lee (University of Pennsylvania)
João Vilela (University of Coimbra)
Eric Wustrow (Colorado Boulder)
Richard Han (Colorado Boulder)
Lu Feng (University of Virginia)
Earlence Fernandes (University of Michigan)
Falko Dressler (Paderborn University)
Jie Liu (Microsoft Research)
Kay Roemer (TU Graz)
Nic Lane (University College London)
Fang-Jing Wu (NEC Lab)
Jyotrimoy Deshmukh (Toyota)
Saman Zonouz (Rutgers University)
Haixin Duan (Tsinghua University)
Yutaka Arakawa (Nara Institute of Science and Technology)
Ingrid Verbauwhede (KU Leuven)
Stefano Zanero (Politecnico di Milano)
Thorsten Holz (Ruhr University Bochum)
Amir Rahmati (University of Michigan)
Cong Zheng (Palo Alto Networks)
Chenguang Shen (Facebook)
Shaunak Mishra (Yahoo Research)
Steering Committee:
John Stankovic (University of Virginia)
Lorrie Faith Cranor (Carnegie Mellon University)
Srdjan Capkun (ETH Zurich)
Rupak Majumdar (Max Planck Institute for Software Systems)
PROGRAM SOLICITATION: CRITICAL TECHNIQUES, TECHNOLOGIES AND METHODOLOGIES FOR ADVANCING FOUNDATIONS AND APPLICATIONS OF BIG DATA SCIENCES AND ENGINEERING (BIGDATA) - NSF 17-534
View the full solicitation at: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504767
SYNOPSIS
The BIGDATA program seeks novel approaches in computer science, statistics, computational science, and mathematics, along with innovative applications in domain science, including social and behavioral sciences, education, biology, the physical sciences, and engineering that lead towards the further development of the interdisciplinary field of data science.
The solicitation invites two categories of proposals:
Foundations (F): those developing or studying fundamental theories, techniques, methodologies, and technologies of broad applicability to big data problems, motivated by specific data challenges and requirements; and
Innovative Applications (IA): those engaged in translational activities that employ new big data techniques, methodologies, and technologies to address and solve problems in specific application domains. Projects in this category must be collaborative, involving researchers from domain disciplines and one or more methodological disciplines, e.g., computer science, statistics, mathematics, simulation and modeling, etc.
Proposals in both categories must include a clear description of the big data aspect(s) that have motivated the proposed approach(es), for example: the scalability of methods with increasing data volumes, rates, heterogeneity; or data quality and data bias; etc. Innovative Applications proposals must provide clear examples of the impacts of the big data techniques, technologies and/or methodologies on (a) specific domain application(s).
Proposals in all areas of sciences and engineering covered by participating NSF directorates and partnering agencies [the Office of Financial Research (OFR)], are welcome.
Before preparing a proposal in response to this BIGDATA solicitation, applicants are strongly urged to review other related programs and solicitations and contact the respective NSF program officers listed in them should those solicitations be more appropriate. In particular:
For the development of robust and shared data-centric cyberinfrastructure capabilities, applicants should consider the Data Infrastructure Building Blocks (DIBBs) program, https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504776;
For computational and data science research not specifically addressing big data issues, applicants should consider the Computational and Data Enabled Science and Engineering (CDS&E) program, http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504813;
For work that is focused more on scaling of software, rather than data-related issues, applicants should consider the Scalable Parallelism in the Extreme (SPX) program, https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505348;
Proposals that are specific to the geosciences, and respond to the community needs and requirements expressed by the geosciences community, should consider the NSF EarthCube program for Developing a Community-Driven Data and Knowledge Environment for the Geosciences, https://www.nsf.gov/geo/earthcube/;
Proposals that focus on research in mathematics or statistics that is not tied to a specific big data problem should be submitted to the appropriate program within the MPS Division of Mathematical Sciences (DMS); see a list of DMS programs at https://www.nsf.gov/funding/programs.jsp?org=DMS; and
Proposals that focus on research in the computer and information sciences not tied to a specific big data problem should be submitted to the appropriate CISE core program:
Computer and Network Systems (CNS) Core Programs: https://nsf.gov/publications/pub_summ.jsp?WT.z_pims_id=12765&ods_key=nsf16579;
Computing and Communication Foundations (CCF) Core Programs: https://nsf.gov/publications/pub_summ.jsp?WT.z_pims_id=503220&ods_key=nsf16578; and
Information and Intelligent Systems (IIS) Core Programs: https://nsf.gov/publications/pub_summ.jsp?WT.z_pims_id=13707&ods_key=nsf16581.
IMPORTANT INFORMATION FOR PROPOSERS
A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 17-1), is effective for proposals submitted, or due, on or after January 30, 2017. Please be advised that, depending on the specified due date, the guidelines contained in NSF 17-1 may apply to proposals submitted in response to this funding opportunity.
Amazon Web Services (AWS), Google, and Microsoft are now participating in the solicitation by providing cloud credits/resources to qualifying projects. The solicitation provides details regarding the participation of these companies, and the use of their cloud resources.
Additionally, slight revisions of the Program Description have been introduced.
Any proposal submitted in response to this solicitation should be submitted in accordance with the revised NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 17-1), which is effective for proposals submitted, or due, on or after January 30, 2017.
AWARD INFORMATION
Anticipated Type of Award: Standard Grant or Continuing Grant or Cooperative Agreement
Estimated Number of Awards: 27 to 35
About 27-35 projects will be funded, subject to availability of funds.
Anticipated Funding Amount: $26,500,000
Up to $26,500,000 will be invested by NSF and the Office of Financial Research (OFR), in proposals submitted to this solicitation, subject to the availability of funds. Up to $9,000,000 will be invested by Amazon Web Services (AWS), Google, and Microsoft (up to $3,000,000 each) in the form of cloud credits/resources.
Projects will typically receive NSF funding in the range of $200,000 to a maximum of $500,000 per year, for 3 to 4 years of support. The minimum award size will be $600,000 of total NSF/OFR funding, reflecting the minimum expected level of effort for BIGDATA projects, which are expected to be multidisciplinary in nature and include significant student involvement. Any allocation of cloud credits/resources from AWS, Google or Microsoft will be in addition to the NSF/OFR funding.
Submission Window Date(s): March 15, 2017 - March 22, 2017
Submitted by Katie Dey on June 30th, 2017
The U.S. Department of Energy’s Advanced Research Projects Agency-Energy (ARPA-E) announced up to $30 million in funding for two new programs that aim to solve some of the nation’s most pressing energy challenges by accelerating the development of novel energy technologies. NEXT-Generation Energy Technologies for Connected and Automated on-Road vehicles (NEXTCAR) seeks to develop new technologies that decrease energy consumption of future vehicles through the use of connectivity and automation.
“We must continue to invest in programs that encourage the scientific community to think boldly and differently about our nation’s energy future,” said ARPA-E Director Dr. Ellen D. Williams. “The NEXTCAR program’s focus on exploiting automation to improve energy efficiency in future vehicles."
Significant research and development is underway to make future vehicles more connected and automated in order to reduce road accidents and traffic fatalities, but these technologies can also be leveraged to improve energy efficiency in future vehicles. The NEXTCAR program is providing up to $30 million in funding to create new control technologies that reduce the energy consumption of future vehicles by using connectivity and vehicle automation. The program seeks transformative technological solutions that will enable at least a 20 percent reduction in the energy consumption of future Connected and Automated Vehicles (CAVs), compared to vehicles without these technologies.
For more information and to view the full funding opportunity announcement, please click here.