{"id":35759,"date":"2022-03-28T15:51:00","date_gmt":"2022-03-28T13:51:00","guid":{"rendered":"https:\/\/www.uni.lu\/fstm-en\/?post_type=news&#038;p=35759"},"modified":"2025-02-25T15:28:46","modified_gmt":"2025-02-25T14:28:46","slug":"a-new-doctoral-training-unit","status":"publish","type":"news","link":"https:\/\/www.uni.lu\/fstm-en\/news\/a-new-doctoral-training-unit\/","title":{"rendered":"A new Doctoral Training Unit"},"content":{"rendered":"\n<section class=\"wp-block-unilux-blocks-free-section section\"><div class=\"container xl:max-w-screen-xl\">\n<p>Making sense of such \u201cbig data of the past\u201d requires new approaches to data management, mining, visualization, and interpretation \u2013 an endeavour that poses multiple challenges to the disciplines of both history and data science.<\/p>\n\n\n\n<p>This problem will be addressed with a new Doctoral Training Unit (DTU): \u201cDeep Data Science of Digital History\u201d, an interdisciplinary DTU unit between <a href=\"https:\/\/www.c2dh.uni.lu\/\" target=\"_self\" title=\"\" rel=\"noopener\">C2DH<\/a>,<a href=\"https:\/\/wwwen.uni.lu\/fstm\" target=\"_self\" title=\"\" rel=\"noopener\"> FSTM<\/a>, <a href=\"https:\/\/wwwen.uni.lu\/fhse\" target=\"_self\" title=\"\" rel=\"noopener\">FHSE<\/a>, <a href=\"https:\/\/www.list.lu\/\" target=\"_self\" title=\"\" rel=\"noopener\">LIST<\/a> and <a href=\"https:\/\/www.liser.lu\/\" target=\"_self\" title=\"\" rel=\"noopener\">LISER<\/a>. The FNR recently granted 18 PhD positions and will allow the DTU to train students and engage with them in a critical study of historical data by bringing together intellectual and technical resources generated across disciplines, particularly from digital history, social sciences and data science.<\/p>\n\n\n\n<p>To achieve this objective, the DTU will deepen the interdisciplinary collaboration between digital history and computer science by exploring the concepts of deep history and deep data science.<\/p>\n\n\n\n<p>Based on the theoretical framework of \u201cdigital hermeneutics\u201d, this DTU will tackle critical in historical data science.<\/p>\n<\/div><\/section>\n","protected":false},"excerpt":{"rendered":"<p>Discipline of history from an \u201cage of scarcity\u201d to an \u201cage of abundance\u201dMaking sense of such \u201cbig data of the past\u201d requires new approaches to data management, mining, visualization, and interpretation \u2013 an endeavour that poses multiple challenges to the disciplines of both history and data science.<\/p>\n","protected":false},"author":335,"featured_media":35760,"template":"","format":"standard","meta":{"featured_image_focal_point":[],"show_featured_caption":false,"ulux_newsletter_groups":"","uluxPostTitle":"","uluxPrePostTitle":"","_trash_the_other_posts":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false},"news-category":[8],"news-topic":[],"organisation":[29],"authorship":[335],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO v22.3) - 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