computer science

Improving Undergraduate STEM Education: Computing in Undergraduate Education (IUSE:CUE)

Tuesday, February 12, 2019

PROGRAM SOLICITATION
NSF 19-546

NSF Logo  

National Science Foundation

Directorate for Computer & Information Science & Engineering
     Division of Computer and Network Systems
     Division of Computing and Communication Foundations
     Division of Information & Intelligent Systems
     Office of Advanced Cyberinfrastructure

Directorate for Education & Human Resources
     Division of Undergraduate Education

Full Proposal Deadline(s) (due by 5 p.m. submitter's local time):

     May 09, 2019

Synopsis of Program

Increasingly, undergraduate computer science (CS) programs are being called upon to prepare larger and more diverse student populations for careers in both CS and non-CS fields, including careers in scientific and non-scientific disciplines. Many of these students aim to acquire the understandings and competencies needed to learn how to use computation collaboratively across different contexts and challenging problems. However, standard CS course sequences do not always serve these students well. With this solicitation, NSF will support teams of Institutions of Higher Education (IHEs) in re-envisioning the role of computing in interdisciplinary collaboration within their institutions. In addition, NSF will encourage partnering IHEs to use this opportunity to integrate the study of ethics into their curricula, both within core CS courses and across the relevant interdisciplinary application areas.

Award Information

Anticipated Type of Award: Standard Grant

Estimated Number of Awards: 12 to 15

Anticipated Funding Amount: $4,500,000

We expect to fund 12 to 15 awards. Proposals that do not include an ethics component may request a maximum budget of $300,000 over 18 months; and proposals that do include an ethics component may request a maximum budget of $350,000 over 18 months.

Estimated program budget, number of awards and average award size/duration are subject to the availability of funds.

Registration Open for Computer Science Institute for Women, July 2018

Wednesday, May 9, 2018

Register here: https://compsciforwomen.eventbrite.com

Questions can be directed to Terry Woodford-Thomas (tthomas [at] danforthcenter [dot] org) and Fengpeng Sun (sunf [at] umkc [dot] edu)

Critical Techniques, Technologies and Methodologies for Advancing Foundations and Applications of Big Data Sciences and Engineering (BIGDATA)

Wednesday, February 21, 2018

Program Solicitation: NSF 18-539

Submission Window Date(s) (due by 5 p.m. submitter's local time):

     May 07, 2018 - May 14, 2018

 

SUMMARY OF PROGRAM REQUIREMENTS

General Information

Synopsis of Program:

The BIGDATA program seeks novel approaches in computer science, statistics, computational science, and mathematics leading towards the further development of the interdisciplinary field of data science. The program also seeks innovative applications in domain science, including social and behavioral sciences, education, physical sciences, and engineering, where data science and the availability of big data are creating new opportunities for research and insights not previously possible.

The solicitation invites two categories of proposals:

  • Foundations (BIGDATA: 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 (BIGDATA: 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 are expected to be well motivated by specific big data problems in one or more science and engineering research domains. All proposals are expected to clearly articulate the big data aspect(s) that motivate the research. Innovative Applications proposals must provide clear examples of the impacts of the big data techniques, technologies and methodologies on applications in one or more domains.

In FY 2018, the BIGDATA program continues the cloud option that was introduced in FY 2017, in partnership with Amazon Web Services (AWS), Google Cloud, and Microsoft Azure (see Use of Cloud Resources, at the end of Section II, Program Description).

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 to identify whether those solicitations are more appropriate. In particular:

 

Award Information

Anticipated Type of Award:

Standard Grant or Continuing Grant or Cooperative Agreement

Estimated Number of Awards: 25 to 33

About 25-33 projects will be funded, subject to availability of funds.

Anticipated Funding Amount: $24,000,000

Up to $24,000,000 will be invested by NSF in proposals submitted to this solicitation, subject to the availability of funds. Additional cloud credits/resources will be provided by AWS, Google, and Microsoft.

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 funding, reflecting the minimum expected level of effort for BIGDATA projects. The maximum award size will be $2,000,000 of total NSF funding. BIGDATA projects 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 funding. If additional cloud providers join the program, resources/credits from those providers will be available under the same terms and conditions as described in this solicitation.

Eligibility Information

Who May Submit Proposals:

The categories of proposers eligible to submit proposals to the National Science Foundation are identified in the NSF Proposal & Award Policies & Procedures Guide (PAPPG), Chapter I.E.

Who May Serve as PI:

There are no restrictions or limits.

Limit on Number of Proposals per Organization:

There are no restrictions or limits.

Limit on Number of Proposals per PI or Co-PI: 1

An individual may participate as Principal Investigator (PI), co-PI, Senior Personnel, consultant, or any other role in no more than one proposal, or related subaward, submitted in response to this solicitation.

In the event that an individual exceeds this limit, any proposal submitted to this solicitation with this individual listed as a PI, co-PI, senior personnel, consultant or any other role after the first proposal is received at NSF will be returned without review. No exceptions will be made.

Proposals submitted in response to this solicitation may not duplicate or be substantially similar to other proposals concurrently under consideration by NSF.

Proposal Preparation and Submission Instructions

A. Proposal Preparation Instructions

  • Letters of Intent: Not required
  • Preliminary Proposal Submission: Not required
  • Full Proposals:

B. Budgetary Information

  • Cost Sharing Requirements:

    Inclusion of voluntary committed cost sharing is prohibited.

  • Indirect Cost (F&A) Limitations:

    Not Applicable

  • Other Budgetary Limitations:

    Not Applicable

C. Due Dates

  • Submission Window Date(s) (due by 5 p.m. submitter's local time):

         May 07, 2018 - May 14, 2018

Proposal Review Information Criteria

Merit Review Criteria:

National Science Board approved criteria. Additional merit review considerations apply. Please see the full text of this solicitation for further information.

Award Administration Information

Award Conditions:

Additional award conditions apply. Please see the full text of this solicitation for further information.

Reporting Requirements:

Standard NSF reporting requirements apply.

 

TABLE OF CONTENTS

  1. Introduction
     
  2. Program Description
     
  3. Award Information
     
  4. Eligibility Information
     
  5. Proposal Preparation and Submission Instructions
    1. Proposal Preparation Instructions
    2. Budgetary Information
    3. Due Dates
    4. FastLane/Grants.gov Requirements
       
  6. NSF Proposal Processing and Review Procedures
    1. Merit Review Principles and Criteria
    2. Review and Selection Process
       
  7. Award Administration Information
    1. Notification of the Award
    2. Award Conditions
    3. Reporting Requirements
       
  8. Agency Contacts
     
  9. Other Information

Computer Science for All (CSforAll:RPP) Researcher Practitioner Partnerships

Wednesday, February 21, 2018

Program Solicitation: NSF 18-537

Full Proposal Deadline(s) (due by 5 p.m. submitter's local time):
     May 09, 2018
     February 12, 2019
     Second Tuesday in February, Annually Thereafter
 

SUMMARY OF PROGRAM REQUIREMENTS

General Information

Synopsis of Program:

This program aims to provide all U.S. students the opportunity to participate in computer science (CS) and computational thinking (CT) education in their schools at the preK-12 levels. With this solicitation, the National Science Foundation (NSF) focuses on researcher-practitioner partnerships (RPPs) that foster the research and development needed to bring CS and CT to all schools. Specifically, this solicitation aims to provide high school teachers with the preparation, professional development (PD) and ongoing support that they need to teach rigorous computer science courses; preK-8 teachers with the instructional materials and preparation they need to integrate CS and CT into their teaching; and schools and districts the resources needed to define and evaluate multi-grade pathways in CS and CT.

Award Information

Anticipated Type of Award: Standard Grant

Estimated Number of Awards: 24

approximately 10 small, 11 medium, and 3 large awards.

Anticipated Funding Amount: $20,000,000 (Subject to the availability of funds)

 

Eligibility Information

Who May Submit Proposals:

The categories of proposers eligible to submit proposals to the National Science Foundation are identified in the NSF Proposal & Award Policies & Procedures Guide (PAPPG), Chapter I.E.

Who May Serve as PI:

There are no restrictions or limits.

Limit on Number of Proposals per Organization:

There are no restrictions or limits.

Limit on Number of Proposals per PI or Co-PI:

There are no restrictions or limits.

 

Proposal Preparation and Submission Instructions

A. Proposal Preparation Instructions

  • Letters of Intent: Not required
  • Preliminary Proposal Submission: Not required

B. Budgetary Information

  • Cost Sharing Requirements:

    Inclusion of voluntary committed cost sharing is prohibited.

  • Indirect Cost (F&A) Limitations:

    Not Applicable

  • Other Budgetary Limitations:

    Not Applicable

C. Due Dates

  • Full Proposal Deadline(s) (due by 5 p.m. submitter's local time):

         May 09, 2018

         February 12, 2019

         Second Tuesday in February, Annually Thereafter

 

Proposal Review Information Criteria

Merit Review Criteria:

National Science Board approved criteria. Additional merit review considerations apply. Please see the full text of this solicitation for further information.

Award Administration Information

Award Conditions:

Standard NSF award conditions apply.

Reporting Requirements:

Additional reporting requirements apply. Please see the full text of this solicitation for further information.

 

TABLE OF CONTENTS

  1. Introduction
     
  2. Program Description
     
  3. Award Information
     
  4. Eligibility Information
     
  5. Proposal Preparation and Submission Instructions
    1. Proposal Preparation Instructions
    2. Budgetary Information
    3. Due Dates
    4. FastLane/Grants.gov Requirements
       
  6. NSF Proposal Processing and Review Procedures
    1. Merit Review Principles and Criteria
    2. Review and Selection Process
       
  7. Award Administration Information
    1. Notification of the Award
    2. Award Conditions
    3. Reporting Requirements
       
  8. Agency Contacts
     
  9. Other Information

Critical Techniques, Technologies and Methodologies for Advancing Foundations and Applications of Big Data Sciences and Engineering (BIGDATA)

Friday, January 6, 2017

Program Solicitation

NSF 17-534

Submission Window Date(s) (due by 5 p.m. submitter's local time):

March 15, 2017 - March 22, 2017

Synopsis of Program

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.

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.

Eligibility Information

Who May Submit Proposals:

The categories of proposers eligible to submit proposals to the National Science Foundation are identified in the Grant Proposal Guide, Chapter I, Section E.

Who May Serve as PI:

There are no restrictions or limits.

Limit on Number of Proposals per Organization:

There are no restrictions or limits.

Limit on Number of Proposals per PI or Co-PI: 1

An individual may participate as PI, co-PI, Senior Personnel, consultant, or any other role in no more than one proposal, or related subaward, submitted in response to this solicitation.

In the event that an individual exceeds this limit, any proposal submitted to this solicitation with this individual listed as a PI, co-PI, senior personnel, consultant or any other role after the first proposal is received at NSF will be returned without review. No exceptions will be made.

Proposals submitted in response to this solicitation may not duplicate or be substantially similar to other proposals concurrently under consideration by NSF.

Proposal Preparation and Submission Instructions

A. Proposal Preparation Instructions:

  • Letters of Intent: Not required
  • Preliminary Proposal Submission: Not required
  • Full Proposals:

    • Full Proposals submitted via FastLane: NSF Proposal and Award Policies and Procedures Guide, Part I: Grant Proposal Guide (GPG) Guidelines apply. The complete text of the GPG is available electronically on the NSF website at: https://www.nsf.gov/publications/pub_summ.jsp?ods_key=gpg.
    • Full Proposals submitted via Grants.gov: NSF Grants.gov Application Guide: A Guide for the Preparation and Submission of NSF Applications via Grants.gov Guidelines apply (Note: The NSF Grants.gov Application Guide is available on the Grants.gov website and on the NSF website at: https://www.nsf.gov/publications/pub_summ.jsp?ods_key=grantsgovguide)

B. Budgetary Information

  • Cost Sharing Requirements:

    Inclusion of voluntary committed cost sharing is prohibited.

  • Indirect Cost (F&A) Limitations:

    Not Applicable

  • Other Budgetary Limitations:

    Not Applicable

C. Due Dates

  • Submission Window Date(s) (due by 5 p.m. submitter's local time):

         March 15, 2017 - March 22, 2017

IMPORTANT INFORMATION AND REVISION NOTES

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.

Dear Colleague Letter: Enabling New Collaborations Between Computer and Information Science & Engineering (CISE) and Social, Behavioral and Economic Sciences (SBE) Research Communities

Wednesday, October 26, 2016

NSF 17-019

With this DCL, the National Science Foundation (NSF) is announcing its intention to build upon the success of previous EArly-Concept Grants for Exploratory Research (EAGERs) in the areas supported by the Secure and Trustworthy Cyberspace (SaTC) program (see NSF 16-580) and to encourage the submission of additional EAGER proposals that foster novel interdisciplinary research carried out in new collaborations between one or more Computer and Information Science and Engineering (CISE) researchers and one or more Social, Behavioral and Economic Sciences (SBE) researchers. Note that this DCL is focused on new collaborations; research teams with a history of collaborating together should instead submit directly to the SaTC solicitation, pursuant to the proposal preparation guidelines specified therein.

Many scientific and practical challenges of security, privacy, and trust have sociotechnical dimensions, and thus it is important to encourage interdisciplinary collaborations among researchers from the disciplines represented in NSF’s CISE and SBE directorates, and on topics that draw on the strengths of each researcher.

Below are some examples of the types of topics that might benefit from collaborations between CISE and SBE researchers under such an EAGER project. This list is by no means intended to be directive or complete. Many important problems demand strong research reflecting integrative perspectives.

  • Ethical, political, legal, cultural, or societal dimensions of security and privacy technologies and their impacts.
  • Security/privacy in the context of social media, including topics such as data aggregation and algorithmic filtering.
  • Addressing online behavioral risks to security, safety, and/or privacy, including trolling, spamming and cyberbullying.
  • Interaction design research on how to accommodate individual and/or collective privacy values and concerns.
  • Inclusive security or privacy mechanisms that adapt to the needs and abilities of underrepresented or disabled individuals or groups.
  • Research on education, training, and awareness around security and privacy for both users and developers of secure and trustworthy systems.
  • Understanding and supporting responses to cyberattacks, ranging from the individual to national scales.
  • Security/privacy at the level of families, groups, communities, and other understudied levels/units of analysis.
  • Organizational strategies, investments, or governance effects on security/privacy, and approaches for improvement.
  • Studies of economic dimensions of security or privacy decision-making, including cost-benefit analyses, incentive structures, and/or mechanism design.
  • Methods for modeling intentions and/or behaviors relevant to cybersecurity. For example, methods could include social network analysis, crowdsourcing, and inter-organizational policy analysis, and combinations thereof.

Proposals submitted pursuant to this DCL must include one or more PIs from the fields supported by the Computer and Information Science and Engineering (CISE) directorate, and one or more PIs from those areas supported by the Social, Behavioral, and Economic sciences (SBE) directorate. Proposals should describe how intellectual merit and broader impacts will benefit from the contribution from each discipline. Proposals where one side is mainly in service of the other are not appropriate. Ideally, the research will be interdependent and integrated-sharing visions, models, methods, or discoveries. Such integration may require extra effort in leadership, regular communication, and cross-training. Proposals must also describe how the collaboration will work in the planning, research, and dissemination stages.

Two rounds of submissions are anticipated, with approximately five EAGERs awarded during each round, subject to the availability of funds. The anticipated deadlines for submission of EAGER proposals are December 1, 2016, and April 1, 2017, for the first and second rounds, respectively.

Submission of EAGER proposals will be via Fastlane or Grants.gov. EAGER submissions should follow the NSF's Proposal and Award Policies and Procedures Guide (PAPPG). As noted in the PAPPG, EAGER is a funding mechanism for supporting exploratory work in its early stages on untested, but potentially transformative, research ideas or approaches. Thus, proposals must talk about why they are appropriate for an EAGER (for instance, proposals that respond to this solicitation may be “high-risk, high-reward” through involving radically different approaches, applying new expertise, or engaging novel disciplinary or interdisciplinary perspectives).

An investigator may be included in only one submission (across both rounds) pursuant to this DCL; if more than one is submitted, only the first one submitted will be considered. Submission pursuant to the previous CISE/SBE SaTC EAGER DCLs does not preclude submission in response to this DCL.

For further information, please contact the following SaTC program directors: Drs. Sara Kiesler (skiesler [at] nsf [dot] gov), Nan Zhang (nanzhang [at] nsf [dot] gov), and Dan Cosley (dcosley [at] nsf [dot] gov).

Sincerely,

Jim Kurose
Assistant Director, CISE

Fay Lomax Cook
Assistant Director, SBE

Summer Internships in Parallel Computational Science

Thursday, December 17, 2015

The National Center for Atmospheric Research is seeking students interested in computational science, data analysis, geostatistics, computer science, visualization, and computational geosciences for paid student internships.  To apply, follow the instructions on the SIParCS Opportunities Page.  For more information about the internship program, elegibility, and important dates, read the internship announcement below:

The SIParCS Program at the National Center for Atmospheric Research is aimed at university students who are interested in pursuing a career in such areas as computational science, data analysis, geostatistics, computer science, visualization, and computational geosciences. The goal of the SIParCS program is to make a long-term, positive impact on the quality and diversity of the workforce needed to use and operate 21st century supercomputers. Graduate students and undergraduate students (who have completed their sophomore year by summer 2016) gain significant hands-on experience in high-performance computing and related fields that use HPC for scientific discovery and modeling.

This program embeds students as summer interns in the Computational and Information Systems Laboratory, an organization within NCAR charged with provisioning supercomputing and data systems to the geosciences research community. The roles of service and research in CISL support NCAR’s broad scientific mission of discovery in the atmospheric and related sciences.

The program runs 11 weeks from May 16, 2016 to July 29, 2016.

Current Types of Internships

  • Application Development
  • Application Optimization
  • Computer Science
  • Data Science
  • Geostatistics
  • Visualization

Benefits

  • $15.35/hour for undergraduate and $18.15 for graduate students
  • UCAR casual benefits apply, including a regional bus pass, AD&D and Worker’s Compensation coverage
  • Housing is provided to interns at Bear Creek Apartments @ University of Colorado*
  • One round-trip airfare or mileage, whichever is less, is provided from points of origin within the United States

*Housing is subject to income tax, as determined on IRS Form W-4

Requirements for the Summer

  • Keep a research journal
  • Attend technical seminars
  • Attend skill-enhancing workshops
  • Give an oral presentation of results

Skills/Abilities for Internship

  • Ability to work with a diverse group of peers
  • Skill in the use of software for communication purposes (e.g. Word, Excel, PowerPoint, email)
  • Ability and willingness to learn and use scientific computing tools and programs
  • Good oral and written communication skills
  • Basic problem solving skills
  • Ability to analyze data and draw conclusions
  • Potential to excel in a scientific career
  • Basic knowledge of mathematics, computer science or engineering - through coursework
  • Ability to work full-time during the summer program
  • Ability to interact with mentors & peers in a manner to support collaboration and inquiry
  • Ability and willingness to work within guidelines and policies of organization and assigned work groups

Eligibility Requirements

• Applicants must be available May 16 through July 29, 2016 to participate
• Must be a graduate student, or undergrad completed sophomore year
• Must currently be enrolled in a U.S. university
• Must be authorized to work in the U.S. to be eligible for the SIParCS program. For F visa students accepted to the SIParCS program, CPT work authorization issued through a U.S. Designated School Official (DSO) or OPT issued through both a DSO and the U.S. Citizen and Immigration Services (USCIS ) will be required.

Application Deadline:
January 20, 2016 (4:00 pm MT)

Only complete applications will be considered. Please read and follow all instructions carefully.

If you have questions or limitations to using the online application system or questions about the process please contact siparcs [at] ucar [dot] edu, (303) 497-1288.

UCAR values diversity and is an Affirmative Action/Equal Opportunity Employer.

We provide equal employment opportunities without regard to race, color, religion, gender, national origin, ancestry, age, marital status, sexual orientation, domestic partner status, physical or mental disability, or veteran status. All applicants are considered relative to jobrelated factors.applicants are considered relative to job-related factors.

5th Annual Computer Science Institute for Women

Event date(s): Tuesday, July 16, 2019 to Wednesday, July 17, 2019
Location: Danforth Plant Science Center, 975 N. Warson Road, St. Louis, MO


Funding Program for Improving Undergraduate STEM Education

Event date(s): Thursday, May 9, 2019


Improving Undergraduate STEM Education: Computing in Undergraduate Education (IUSE:CUE)

PROGRAM SOLICITATION
NSF 19-546

NSF Logo  

National Science Foundation

Directorate for Computer & Information Science & Engineering
     Division of Computer and Network Systems
     Division of Computing and Communication Foundations
     Division of Information & Intelligent Systems
     Office of Advanced Cyberinfrastructure

Directorate for Education & Human Resources
     Division of Undergraduate Education

Full Proposal Deadline(s) (due by 5 p.m. submitter's local time):

     May 09, 2019

Synopsis of Program

Increasingly, undergraduate computer science (CS) programs are being called upon to prepare larger and more diverse student populations for careers in both CS and non-CS fields, including careers in scientific and non-scientific disciplines. Many of these students aim to acquire the understandings and competencies needed to learn how to use computation collaboratively across different contexts and challenging problems. However, standard CS course sequences do not always serve these students well. With this solicitation, NSF will support teams of Institutions of Higher Education (IHEs) in re-envisioning the role of computing in interdisciplinary collaboration within their institutions. In addition, NSF will encourage partnering IHEs to use this opportunity to integrate the study of ethics into their curricula, both within core CS courses and across the relevant interdisciplinary application areas.

Award Information

Anticipated Type of Award: Standard Grant

Estimated Number of Awards: 12 to 15

Anticipated Funding Amount: $4,500,000

We expect to fund 12 to 15 awards. Proposals that do not include an ethics component may request a maximum budget of $300,000 over 18 months; and proposals that do include an ethics component may request a maximum budget of $350,000 over 18 months.

Estimated program budget, number of awards and average award size/duration are subject to the availability of funds.

Computer Science Institute for Women workshop

Event date(s): Wednesday, July 11, 2018 to Thursday, July 12, 2018
Location: University of Missouri-Kansas City, Department of Geosciences, Flarsheim Hall, 5110 Rockhill Road, Kansas City, MO


Register here: https://compsciforwomen.eventbrite.com

Questions can be directed to Terry Woodford-Thomas (tthomas [at] danforthcenter [dot] org) and Fengpeng Sun (sunf [at] umkc [dot] edu)

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