Submission Number: 195
Submission ID: 4446
Submission UUID: 9d09da57-9b55-46f5-99ee-0d9df448bb94
Submission URI: /form/project

Created: Mon, 03/25/2024 - 11:53
Completed: Mon, 03/25/2024 - 11:54
Changed: Mon, 10/20/2025 - 14:59

Remote IP address: 71.58.230.184
Submitted by: Carrie Brown
Language: English

Is draft: No
Webform: Project
Project Title Consumer reaction to inflation news: simulation analysis of stress in response to the news language
Program CAREERS
Project Image
Tags
Status Complete
Project Leader Nonna Sorokina
Email sorokina@psu.edu
Mobile Phone
Work Phone
Mentor(s)
Student-facilitator(s) JENNIFER Yin
Mentee(s)
Project Description Collect news using Google search and Lexis Nexis period press repository. Collect CPI inflation data (aggregate and components) and further develop textual analysis-based routine to associate news with change in inflation. Use generative AI to produce text with targeted expectations.
Project Deliverables
Project Deliverables
Student Research Computing Facilitator Profile
Mentee Research Computing Profile
Student Facilitator Programming Skill Level
Mentee Programming Skill Level
Project Institution Penn State University
Project Address
Anchor Institution CR-Penn State
Preferred Start Date
Start as soon as possible. No
Project Urgency Already behind3Start date is flexible
Expected Project Duration (in months)
Launch Presentation
Launch Presentation Date 05/17/2024
Wrap Presentation
Wrap Presentation Date 08/14/2024
Project Milestones
  • Milestone Title: Tune up Web scraper and NPL classifier; Collect inflation data
    Milestone Description: Adapt pre-built code to collect inflation-related news. Identify proper search terms, clean up the results. Obtain and organize CPI data. Adjust existing NLP code to associate news with changes in inflation measure by CPI.
    Completion Date Goal: 2024-05-10
  • Milestone Title: Associate inflation expectations and moves with PULSE survey data
    Milestone Description: Link actual and expected changes in inflation to the PULSE dataset that contains health-related data and demographics. Explore heterogeneity in reactions to inflation and inflation expectations using regression analysis.
    Completion Date Goal: 2024-06-10
  • Milestone Title: Create targeted text modules with generative AI
    Milestone Description: Based on the data obtained in (1) and (2) explore generating keywords and texts for inflation news that are expected to trigger/avoid certain reactions among different groups of population.
    Completion Date Goal: 2024-07-10
Github Contributions
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Planned Publications (if any)
What will the student learn?
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HPC resources needed to complete this project?
Notes
What is the impact on the development of the principal discipline(s) of the project?
What is the impact on other disciplines?
Is there an impact physical resources that form infrastructure?
Is there an impact on the development of human resources for research computing?
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Lessons Learned
Overall results