Skip to content

UWFT for Principal Investigators

As you are all well aware, UW is making the transition to a new financial management system – fondly called UWFT!  The Office of Research has worked closely with the UWFT team to put together some guidance for Principal Investigators.  In what follows, you can see some of the highlights, links to resources, and key dates that you should know.

As the transition to Workday Finance approaches in July, here are some new, and not so new, processes and systems for the work of Principal Investigators.  UWFT for Principal Investigators offers an overview of changes and new systems.  Included on that page are PI Training Resources, along with guidance on when/whether to take specific courses within Bridge LMS.

 

For the most part, faculty activity and effort will not fundamentally change.  However, PIs should be aware of the following changes taking effect in early July 2023:

  • SAGE Budget will be required at the time of the award.  Award preparers can create Award Setup Requests and monitor these requests via the new SAGE Awards feature.
  • eFECS and the Grant and and Contract Certification Report (GCCR) are both being replaced by the Employee Compensation Compliance (ECC) system.
  • PIs will need to approve sub recipient invoices on a bi-monthly basis using Workday.
  • PIs, along with Grant Managers, will need to identify specific funding sources to meet cost share, including faculty effort cost share, at the time of award.

Important grants-related dates coming up:

  • 5/31: submit Advance Budget Request for awards anticipated with start date between 6/09 and 8/01 to minimize impact of transition delays
  • First Week of June: Purchasing requests needed for this fiscal year.
  • 06/07: The last day to submit Advance Extension Requests and No-Cost Extension or Temporary Budget Extension Requests for awards that end between 6/09 and 8/01.
  • 6/09-7/06: No new awards ill be setup; award set-up through July ill be slow.
  • 6/13: Last day to submit Advance Budget Requests to GCA.
  • 6/05-7/0: Temporary process for sub award requests or modifications.
  • 6/13-7/7: Subaward invoices received in Ariba will need to be re-entered into Workday after 7/7.  Reach out to suppliers for invoices in advance, and close Blanket Purchase Orders (BPOs) no longer needed.

Celebrate Trainees’ Accomplishments & Join End-of-Year Reception!

Join us for CSDE’s annual closing reception on Friday June 2nd at 1230PM! We’ll present Demographic Methods Certificates and celebrate the end of a successful academic year. Please join us in recognizing all of these accomplishments! Every member of the CSDE community plays an important role in our broader research network and training program.

Celebrate Trainees’ Accomplishments & Join End-of-Year Reception!

Join us for CSDE’s annual closing reception on Friday June 2nd at 1230PM! We’ll present Demographic Methods Certificates and celebrate the end of a successful academic year. Please join us in recognizing all of these accomplishments! Every member of the CSDE community plays an important role in our broader research network and training program.

CSSS Seminar: Abhi Datta, Associate Professor in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health

Please join the Center for Statistics and the Social Sciences for their final speaker. On Wednesday, May 31st at 12:30 pm, Abhi Datta, Associate Professor in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health will give a seminar titled, “Correcting for misclassification bias in cause-specific mortality estimates”

This seminar will be offered as a hybrid session. Below please find the abstract and information about joining in-person or on Zoom.

Abstract:

Verbal autopsies (VA) are extensively used to determine cause-of-death (COD) in many low and middle income countries. However, COD determination from VA can be inaccurate. Computer-coded-verbal-autopsy (CCVA) algorithms used for this task are imperfect and misclassify COD for a large proportion of deaths. If not accounted for, this misclassification leads to biased estimates of cause-specific mortality fractions (CSMF), a critical piece in health-policy making. We discuss how to estimate and use CCVA misclassification rates to calibrate raw VA-based CSMF estimates to account for the misclassification bias in Bayesian hierarchical model. We review the current practices and issues with raw COD predictions from CCVA algorithms and provide a complete primer on how to use the VA calibration approach with the calibratedVA software to correct for verbal autopsy misclassification bias in cause-specific mortality estimates. We use calibratedVA to obtain CSMF for child (1-59 months) and neonatal deaths using VA data from the Countrywide Mortality Surveillance for Action Mozambique (COMSA) project in Mozambique.

This seminar will be located at 409 Savery Hall

 

To join by Zoom, please use the information below.

Join Zoom Meeting

https://washington.zoom.us/j/91889204671

CSSS Seminar: Abhi Datta, Associate Professor in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health (5/31/23 @12:30 PM)

Please join the Center for Statistics and the Social Sciences for their final speaker. On Wednesday, May 31st at 12:30 pm, Abhi Datta, Associate Professor in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health will give a seminar titled, “Correcting for misclassification bias in cause-specific mortality estimates”

This seminar will be offered as a hybrid session. Below please find the abstract and information about joining in-person or on Zoom.

Abstract:

Verbal autopsies (VA) are extensively used to determine cause-of-death (COD) in many low and middle income countries. However, COD determination from VA can be inaccurate. Computer-coded-verbal-autopsy (CCVA) algorithms used for this task are imperfect and misclassify COD for a large proportion of deaths. If not accounted for, this misclassification leads to biased estimates of cause-specific mortality fractions (CSMF), a critical piece in health-policy making. We discuss how to estimate and use CCVA misclassification rates to calibrate raw VA-based CSMF estimates to account for the misclassification bias in Bayesian hierarchical model. We review the current practices and issues with raw COD predictions from CCVA algorithms and provide a complete primer on how to use the VA calibration approach with the calibratedVA software to correct for verbal autopsy misclassification bias in cause-specific mortality estimates. We use calibratedVA to obtain CSMF for child (1-59 months) and neonatal deaths using VA data from the Countrywide Mortality Surveillance for Action Mozambique (COMSA) project in Mozambique.

This seminar will be located at 409 Savery Hall

 

To join by Zoom, please use the information below.

Join Zoom Meeting

https://washington.zoom.us/j/91889204671

Sign up for Limited Submissions Notifications Through UW Office of Research

The UW’s Office of Research manages all limited submission opportunities, including notifying the research community about them and evaluating which submissions move forward from UW to the funder.  If you’d like to be alerted to those opportunities sign up for their listserv or visit their web page: http://depts.washington.edu/research/funding/limited-submissions

Many federal agencies and foundations offer grants, awards, and fellowships that limit the number of applications that can come from one institution. To increase the chances of the UW succeeding in such limited submission opportunity applications, the Office of Research has established a procedure to review pre-proposals in a timely fashion.

 

Subscription to this listserv is open to all. To subscribe or unsubscribe, please email limitedsubs@uw.edu.

 

After the OR internal deadline, pre-proposals are reviewed by the OR LSO Review Committee. In their efforts to choose pre-proposals that are most likely to be funded and have high impact, the Committee reviews each pre-proposal based on these criteria:

  1. Meets all eligibility requirements specified by the funding organization RFA
  2. Is scientifically and technically strong
  3. Promotes the greater University research mission

 

Once the decision has been made on which pre-proposal(s) will go forward, all applicants are notified of the Committee’s decision. Occasionally, the Committee may provide feedback and recommendations to successful candidates so that that the quality of the full proposal can be enhanced. OR provides a limited submissions approval letter that must be attached to the applicant’s eGC1 for the application to be considered by OSP.

 

For general inquiries, or to request a listing of a limited submission opportunity that is not already listed, please email us at limitedsubs@uw.edu or call 206-616-9089.

Center for Statistics and the Social Sciences Poster Session (6/5/23 @ 3PM)

Please join the CSSS graduate student poster showcase session. Graduate students from three advanced CSSS statistics courses will present their final course projects to the UW community on Monday, June 5, from 3-5 p.m. in HUB 334.

The three classes presenting at the session include:

  • STAT/BIOST/CSSS 529: Sample Survey Techniques, taught Dr. Elena Erosheva
  • STAT/CSSS 567: Statistical Analysis of Networks, taught by Dr. Tyler McCormick
  • STAT/CSSS: Causal Modeling, taught by Dr. Thomas Richardson

More than 30 projects on display will draw on statistical methodology taught in these courses to address a wide range of research questions in the social and health sciences. For example, in the Networks course, one student’s project is using statistical network analysis to identify patterns of social frailty among older Kenyan women living with HIV. Another student is examining the willingness of the University of Washington faculty to engage in interdisciplinary research.

Center for Statistics and the Social Sciences Poster Session (6/5/23 @ 3PM)

Please join the CSSS graduate student poster showcase session. Graduate students from three advanced CSSS statistics courses will present their final course projects to the UW community on Monday, June 5, from 3-5 p.m. in HUB 334.

The three classes presenting at the session include:

  • STAT/BIOST/CSSS 529: Sample Survey Techniques, taught Dr. Elena Erosheva
  • STAT/CSSS 567: Statistical Analysis of Networks, taught by Dr. Tyler McCormick
  • STAT/CSSS: Causal Modeling, taught by Dr. Thomas Richardson

More than 30 projects on display will draw on statistical methodology taught in these courses to address a wide range of research questions in the social and health sciences. For example, in the Networks course, one student’s project is using statistical network analysis to identify patterns of social frailty among older Kenyan women living with HIV. Another student is examining the willingness of the University of Washington faculty to engage in interdisciplinary research.

Tenure Track Faculty Position – Infection Disease Epidemiology

The Department of Epidemiology of Microbial Diseases (EMD) in the Yale School of Public Health (YSPH) is seeking to hire two full-time faculty members at the rank of Assistant or Associate Professor who conduct research in the following broad areas of emphasis:

     Field-based epidemiology and/or ecology of infectious diseases;

     Laboratory or translational research focused on pathogenesis, microbial, host or vector biology and/or genomics;

     Evaluation and implementation research on drugs, vaccines, diagnostics and/or other interventions for infectious diseases;

     Research developing and employing mathematical models, quantitative epidemiological and other statistical methods utilizing large population datasets.

     Research on the social determinants of the risks and outcomes associated with infectious diseases.

 

Successful candidates will be expected to develop an independent research program, mentor MPH and PhD students, and teach at least one course at the masters/doctoral level. Applicants should have a doctoral degree by the start of appointment in epidemiology, microbiology, medicine, veterinary medicine, or a related field, and evidence of a promising scholarly career.