Skip to Main Content

UPDATE – PROMISE PhD Alums Bring $100,000 NSF GRFP Fellowship Prep Workshop to @UMBC Sat. Sept. 15, 2018

September 10, 2018 10:04 AM

Files shared by the presenters:

Participant Folder:

Essays:

 

UPDATE September 15, 2018:

NSF GRFP Presentation (download):

2018 NSF GRFP Presentation – UMBC

 

UPDATE September 13, 2018:


Due to inclement weather approaching our region we will move our seminar to a webinar format. This session is still virtually on! Instructions to participate and have an enjoyable webinar experience:

– The website will open 15 minutes before our scheduled start time.

– Click on the following website (Bb Collaborate Ultra):

NSF GRFP – Funding Seminar

– Log in using your name (this will be displayed for others in the session).
– Please mute your microphone. Please make sure you are not sharing video.
– Any questions that you wish to ask our presenters will be addressed through the chat. You can see the chat and other options by expanding the pink arrows on the bottom right corner of your screen. Anything you post here will be seen by others, please be professional.
– Thank you for participating and looking forward to seeing you there.
– Lastly, our speakers will engage in providing feedback via email for those participants working on their applications.

The NSF PROMISE AGEP, the Graduate School at UMBC, along with the USM Louis Stokes Alliance for Minority Participation (LSAMP) and LSAMP Bridge to the Doctorate programs (LSAMP-BD) are sponsoring another award-winning preparation seminar for  the National Science Foundation’s NSF Graduate Research Fellowship Program (NSF GRFP). The fellowship is worth more than $100,000.

Fellows share in the prestige and opportunities that become available when they are selected. Fellows benefit from a three-year annual stipend of $34,000 along with a $12,000 cost of education allowance for tuition and fees (paid to the institution), opportunities for international research and professional development, and the freedom to conduct their own research at any accredited U.S. institution of graduate education they choose. (Ref: https://www.nsfgrfp.org/general_resources/about)

 

  • Saturday, September 15, 2018
  • 10 AM

 

—————————- ARCHIVED ————————

The information below remains posted as a reference, and will be part of the archive. The seminar will be held ONLINE only. The in-person workshop has been cancelled due to weather.

————————————————————————

 

 

  • Sherman Hall, 1st floor auditorium, Room 003
  • UMBC [Sherman Hall is between the Administration Building and the University Center which houses the Starbucks]
    • Part 1: Funding Your Graduate Education (Breakfast served), 10 AM – 12 noon
    • Part 2: NSF Fastlane – Starting your application within the system (Lunch served), 12 – 3 PM.
  • RSVP:
    • Students at UMBC, please RSVP via MyUMBC: https://my3.my.umbc.edu/groups/promise/events/60538
    • If you are a student from another campus, please RSVP and let us know that you are coming by going to the comment section below, and posting your 1) name, 2) school, 3) major/discipline, and 4) indication of grad student or undergrad student.
      • Students from all schools are invited, particularly the 12 within the University System of Maryland. 
      • We also extend a special invitation to all students who are enrolled in schools that have LSAMP and AGEP programs, e.g., Morgan State University, Howard University, UDC, etc.

Speakers: 

Dr. Frances Carter-Johnson, Data Scientist, National Science Foundation

Dr. Patricia Ordoñez, Associate Professor, Computer Science, University of Puerto Rico Rio Piedras

UMBC has been sponsoring a preparation workshop for several years, and the speakers, UMBC PhD alums, and NSF GRFP winners themselves, have since coached winners through their seminars at UMBC, MIT, Harvard, at schools in Puerto Rico and more! Collectively, the speaker/coaches have assisted with more than $1 Million in fellowship money for those in their workshop audiences!

Patti Frances give Funding Seminar Sept 2015 DOWNSAMPLE by .5