{
    "contributors": [
        {
            "name": "Lasya Kotu",
            "role": "Keyword"
        },
        {
            "name": "Huyen Vu",
            "role": "Keyword"
        },
        {
            "name": "Kristin Braa",
            "role": "Keyword"
        },
        {
            "name": "Ning Zhou",
            "role": "Keyword"
        },
        {
            "name": "Hoda Amel",
            "role": "Keyword"
        }
    ],
    "event_id": 156,
    "archive": "2018-03-08 WiDS",
    "vortex": {
        "url": "http:\/\/www.ub.uio.no\/english\/courses-events\/events\/ureal\/inf\/180308WiDS.html",
        "title": "WiDS Oslo Conference 2018",
        "location": "Ole-Johan Dahls hus",
        "date": "2018-03-08",
        "start_time": "2018-03-08T09:00:00+01:00",
        "end_time": "2018-03-08T18:00:00+01:00",
        "introduction": "The Global Women in Data Science (WiDS) Conference aims to inspire and educate data scientists worldwide, regardless of gender, and support and showcase women in the field. This annual conference is held at Stanford University and 100+ locations worldwide, hosted by WiDS Ambassadors.",
        "text": "The conference is open to everyone, regardless of gender, who is interested in engaging with and learning from the local data science community. \\n\\nThe Oslo satellite conference will be in three parts, taking place at Ole-Johan Dahls hus. You are welcome to join all three or any one of the following: \\n\\nTo see the full programme and register for the workshop, visit http:\/\/www.wids-oslo.org\/  \\n\\n ",
        "organizers": [
            "SINTEF",
            "Arundo",
            "The Science Library"
        ],
        "tags": [],
        "thumbnail": "https:\/\/www.ub.uio.no\/english\/courses-events\/events\/ureal\/inf\/widsweb.jpg"
    },
    "youtube": [
        {
            "id": "3w41wZDOKpY",
            "title": "WiDS Oslo Conference 2018",
            "description": "The Global Women in Data Science (WiDS) Conference is an annual conference held at Stanford University and 100+ locations worldwide, hosted by WiDS Ambassadors.\n\n4:35 Introduction & Welcome by Heidi Dahl \n\n8:48 Digital Intelligence and Deep Learning for the Energy Sector - Lasya Kotu & Huyen Vu, eSmart Systems \n\n32:17 Using data science to improve public health in developing countries - Kristin Braa, UiO\n\n55:38 Preparing for the transition: Data Science as a Student vs. in Industry - Ning Zhou, Schibsted Media Group \n\n1:18:35 How to Avoid your DPA’s Most Wanted List - Hoda Amel, TACTIC Real-time Marketing \n\nNote: The last presentation by Kjersti Aas is not included in the recording."
        }
    ],
    "primary_language": "en"
}