Intervention Development: Young Adult Smokers and Vapors

Hands holding a cigarette and vape pen.

Participate in various research activities to contribute to reducing the harms of smoking behaviors among young adults in this NIH-funded study.

Project description

This study explores barriers to progress toward smoking cessation and will identify strategies to implement innovative smoking cessation intervention among young adults. Student involvement will include hands-on research experiences, including recruitment, data collection, data analysis, and dissemination.

This is an exciting opportunity to contribute to reduce the harms of smoking behaviors among young adults, which will be meaningful for creating healthier society.

Project outcome

  • You can plan for a poster presentation. 
  • If interested, you can be a co-author of an article for journal publication.

Project details

Timing, eligibility and other details
Length of commitment It can be flexible
Start time Any time 
In-person, remote, or hybrid?
Level of collaboration It can be flexible
Benefits Academic credit, work study
Who is eligible Anyone

Project mentor

Eunhee Park

Assistant Professor

School of Nursing

201 E Wende Hall

Phone: (716) 829-3701


Start the project

  1. Email the project mentor using the contact information above to express your interest and get approval to work on the project. (Here are helpful tips on how to contact a project mentor.)
  2. After you receive approval from the mentor to start this project, click the button to start the digital badge. (Learn more about ELN's digital badge options.) 

Preparation activities

Once you begin the digital badge series, you will have access to all the necessary activities and instructions. Your mentor has indicated they would like you to also complete the specific preparation activities below. Please reference this when you get to Step 2 of the Preparation Phase. 

  • Students can distribute flyers and conduct interviews as appropriate. 
  • Students also can participate in data analysis.