| Affiliations: | STEM Research Leadership |
| Project Leader: | Xin Li
xinlianna@tamu.edu Agricultural Leadership, Education, and Communications |
| Faculty Mentor: | Jun Wang, Ph.D. |
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Meeting Times:
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TBA |
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Team Size:
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8
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| Open Spots: | 8 |
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Special Opportunities:
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Joining our program gives students hands-on research experience with the chance to earn credit hours, which can be registered in ALEC 485 or ALEC 491. These credits can be part of your degree plan and are valuable for grad school applications and research-focused careers. You’ll learn to design and manage large-scale studies, from creating surveys and interview guides to analyzing data with tools like Qualtrics, SPSS, and NVivo. You can gain experience in web and app development, using skills in HTML, CSS, JavaScript, Swift, and React Native. If AI and machine learning excite you, there are opportunities to apply tools like Python, TensorFlow, Keras, and R to analyze social media and mental health data. We also support opportunities for conference presentations and co-authorship in publications. All will prepare you with a solid foundation for future work in research, technology, and community impact, opening doors to exciting opportunities in STEM and beyond. |
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Team Needs:
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Our program offers exciting hands-on opportunities for students passionate about Web/App Development, AI, and Machine Learning. Whether you’re an experienced developer and data miner or motivated to learn, we welcome you to join us and contribute in: • Data Collection & Analysis: Work with both qualitative and quantitative data. Develop surveys, analyze data, and gain experience with tools like Qualtrics and SPSS. Interview and code insights with software like NVivo and Atlas.ti. • Web and App Development: Take a creative tech role in our lab’s web or mobile development! Build and manage research websites, design apps for data collection, or enhance our digital platforms. Strengthen your skills in HTML, CSS, JavaScript, Swift, and React Native while gaining experience in UX/UI design and cross-platform development. • AI & Machine Learning: Dive into machine learning applications that analyze large datasets for patterns in social media behavior and mental health. Gain hands-on experience with tools like Python, TensorFlow, Keras, and Scikit-Learn to build and train models, and use R and MATLAB for advanced data analysis. • Publicity & Creative Design: Use your creative skills to communicate science through blogs, social media and infographics. Explore how to make research findings accessible and engaging with tools like Canva. Mandatory requirements: 1. Must have a GPA of 3.0 or higher. 2. Required to work: 1) a minimum of 10 hours per week, 2) at least 2 hours per session, 3) for a minimum of two academic semesters. When you decide to apply, please email the program assistant at xinlianna@tamu.edu. In the email, include 1. your resume/CV and 2. provide responses (200 words or fewer per question) to the following questions: 1). How do your interests and experience align with this project? 2). What do you want to get from this research experience? 3). What are your long-term academic and career goals? |
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Description:
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Our NIH-funded SMART (Social Media and Resilient Teens) project uses real-time data collection, surveys, and interviews to explore how social media use and mental health impact each other in diverse adolescents. Guided by developmental psychology, the project aims to find data-driven insights to help teens use social media to be healthier and more resilient. A more detailed description of the project can be found at: https://reporter.nih.gov/search/rDSof44kikaDWHwODD4i1A/project-details/10936382 |