• About Me

  • My experiences in research, policy, and clinical services have coalesced in my current scholarly goals and agenda. These experiences have collectively helped me to formulate an academic agenda, which is devoted to the prevention of HIV and substance use among high-risk youth and other vulnerable populations. My research interests are broadly centered on understanding the social-contextual determinants of risk and protective behaviors among vulnerable populations, such as homeless and minority youth. Utilizing an ecological approach, my work aims to assess how family, peers, community and the society at large define the contexts within which vulnerable youth function and how these contexts help to explicate the patterns of risk and protective behaviors that these youths engage in. The goal of this research is to inform prevention interventions that acknowledge these contextual environments and utilize social network methodology to determine how these new ideas can be disseminated and sustained using a community-based participatory research approach. I have also chosen teaching assignments that align with this larger program of research-especially focusing on youth programs and policies that emphasize prevention and early intervention and the application of research evidence to policy making and advocacy.

    My research is shaped by four distinct but related aims:

    1. Pursuing survey-based research utilizing social-network analysis to examine how face- to-face social networks and norms shape the risk and protective behaviors of marginalized populations such as youth and young adults experiencing homelessness.

    2. Understanding digital media practices among homeless and other minority youth and young adult populations.

    3. Developing and disseminating programs that utilize innovative technology (e.g., Photovoice, social network technologies, artificial intelligence, etc.) to increase social connectedness and preventive behaviors in these populations.

    4. Using innovative observational and computational methods (e.g., natural language processing, machine learning, etc.) to evaluate interactions in both face-to-face and online social networks.

  • Contact Me

  • ​ DU Email: 

    anamika.barmanadhikari@du.edu

    Associate Professor, Craig Hall, Room 437

    2148 S. High St., Denver, CO 80208

    Phone: 303-871-2923

  • CV

  • Barman-Adhikari_CV_March2022

  • Google Scholar

  • Google Scholar Profile

    https://scholar.google.com/citations?user=hLT9AkAAAAAJ&hl=en&cstart=20&pagesize=20

     

     

     

     

This portfolio last updated: 15-Mar-2022 4:03 PM