UROP Research Mentor Project Submission Portal: Submission #929

serial: '929'
sid: '15271'
uuid: ba423d61-af6e-402c-9d54-87a3592255b1
uri: /urop-research-mentor-project-submission-portal
created: '1724122354'
completed: '1724123355'
changed: '1724696242'
in_draft: '0'
current_page: ''
remote_addr: 96.255.35.246
uid: '0'
langcode: en
webform_id: urop_project_proposal_portal
entity_type: node
entity_id: '1116'
locked: '0'
sticky: '0'
notes: ''
metatag: meta
data:
  roundtable_info: {  }
  approximately_how_many_hours_a_week_would_the_research_assistant: '5-10 hours a week'
  are_you_currently_looking_for_students_: 'Yes'
  confirmation_1: '1'
  contact_email_fsu_email: ''
  contact_email_fsu_email2: ''
  contact_email_fsu_email_if_affiliated_: m.vasconcelos@fsu.edu
  faculty_advisor_confirmation: ''
  faculty_advisor_name: ''
  faculty_advisor_s_fsu_email: ''
  fsu_college: 'FAMU-FSU College of Engineering'
  fsu_department_if_applicable_: 'Electrical and Computer Engineering'
  headshot_optional_: '45451'
  if_the_project_location_is_off_campus_does_the_student_need_to_p: 'Yes'
  mentoring_philosophy: 'Our mentoring philosophy centers on empowering students to gain confidence in their ideas and nurturing their creativity. At the MINDS lab, we embrace the motto that there is no limit to what the human mind can accomplish and that the world of ideas offers an infinite number of low-hanging fruits. Currently, our lab supports a diverse group of researchers, including five undergraduate students, two PhD students, and one postdoc. We believe that a diverse team representing a wide spectrum of backgrounds and perspectives leads to more innovative work, thereby contributing to the broadening of participation of underrepresented groups in the scientific community and society as a whole.'
  mentor_handbook_and_faqs: '1'
  name_of_other_faculty_collaborator_if_applicable_: ''
  number_of_assistants_needed_faculty_postdoc_max_6_graduate_stude: '2'
  other_faculty_collaborator_s_preferred_pronouns: ''
  overall_research_project_description: |-
    Information dissemination is primarily controlled through platforms across their social media network infrastructure. At the heart of this system is the platform itself, which has access to a vast array of heterogeneous content. On the periphery, individual users act as information consumers. It has become widely recognized that these platforms utilize a mechanism popularly known as the "Algorithm''. The "Algorithm'' selects which information to present to users based on machine learning model (or an estimate) of content preferences specific to each consumer. The user's objective is straightforward – to maximize its utility – while the platform's aim is to maximize consumer engagement. The misalignment between the user's and platform's objectives results in intriguing behaviors that are observed empirically. In this project we propose a new game-theoretic model to analyze how content distribution platforms optimize user engagement for users interested in keeping their preferences with provable guarantees using differential privacy techniques. The contribution of the project is twofold: 

    1. To inform platforms on how to improve their machine learning recommendation algorithms for a user population that has strict privacy requirements; 

    2. To inform users on how to judiciously disclose their preferences to ensure they receive good recommendations from the platform while guaranteeing a base level of privacy protection.
  please_add_any_additional_information_here: ''
  please_provide_a_link_to_your_publications_a_video_clip_or_a_web: ''
  please_select_the_choice_that_most_accurately_describes_your_exp: 'Partially Remote'
  please_select_the_location_of_your_project_: 'FAMU-FSU College of Engineering'
  position_availability_for_student_research: 'Flexible schedule'
  position_title: Faculty
  primary_research_mentor_name: 'Marcos Muller Vasconcelos'
  project_keywords: 'Artificial Intelligence, Social Networks, Machine Learning, Game Theory'
  relevant_student_major_s_: |-
    Economics
    Statistics
    Mathematics
    Computer Science
    Electrical Engineering
    Computer Engineering
  research_mentor_preferred_pronoun2: ''
  research_mentor_pronouns: He/Him/His
  research_mentor_supervisor_if_different_from_above_: ''
  research_tasks_for_student_research_assistant_s_: |+
    Literature Review
    Mathematical Modeling and Analysis
    Computer Programming and Simulations
    Data Collection and Statistical Analysis

  roundtable_times_and_zoom_links: ''
  skills_that_research_assistants_may_need_: |
    Proficiency in Machine Learning, Mathematics, and Statistics (Required)
  title_of_the_project: 'Modeling Human-Software Interaction in Modern Recommender Systems'
  update_url: 'https://cre.fsu.edu/urop-research-mentor-project-submission-portal?element_parents=elements/research_mentor_information/headshot_optional_&ajax_form=1&_wrapper_format=drupal_ajax&token=F5bA0jiPNDFxbWlRXE_Szt6d3A77vDNnPVCiMBl0nb4'
  urop_performance_evaluation: '1'
  urop_poster_presentation: '1'
  when_potential_research_assistants_are_reaching_out_via_email_2: ''
  when_potential_research_assistants_are_reaching_out_via_email_wh: ''
  when_students_are_reaching_out_via_email_what_is_your_preferreda: Dr.
  would_you_like_to_participate_in_the_urop_research_mentor_round2: 'No'
  would_you_like_to_participate_in_the_urop_research_mentor_roundt: ''
  year: '2024'