const data = {
    title: "Logistic Regression for Bicycle Manufacturers",
    tags: ["Mechanics", "Computer Science", "Statistics", "Artificial Intelligence", "Machine Learning"],
    abstract: "The purpose of this article is to provide researchers, editors, and readers with a set of guidelines for what to expect in an article using logistic regression techniques. Tables, figures, and charts that should be included to comprehensively assess the results and assumptions to be verified are discussed.",
    privacy: 0,
    milestones: [
      {"date": "04 March, 2021", "title": "Baseline results", "desc": "We will present a baseline model that can do stuff."}, 
      {"date": "24 December, 2021", "title": "Application Deadline for IOCON 2021", "desc": "We will have two people to apply on our behalf."},
      {"date": "06 January, 2022", "title": "Milestone Reports", "desc": "Rerports shall be ready by the given date."},
      {"date": "21 October, 2022", "title": "Final press conference", "desc": "Final deadline for the press conference we will be applying to."},
    ],
    requirements: [
      {
        role: "Fullstack Developer",
        university: "Bogazici University", 
        department: "Software Engineering", 
        interestAreas:["Machine Learning", "Mathematics"],
        title: "MSc",
      },
      {
        role: "Mathematician",
        university: null, 
        department: "Mathematics", 
        interestAreas:["Calculus", "Linear Algebra"],
        title: "MSc",
      },
    ],
    collaborators: [
      {id: 6, name: "Jens Søgaard", university: "L’institut des Ponts et des", department:"EE", title: "MSc", photo: null},
      {id: 5, name: "Fahrad Fahraini", university: "Technische Insitut München", department:"CmpE", title: "MSc", photo: null}
    ],
    files: [
      {id:12, name: "milestone1.pdf", url: "#"},
      {id:34, name: "milestone2.pdf", url: "#"},
      {id:7,  name: "milestone3.pdf", url: "#"}
    ]
  }