{"id":234163,"date":"2024-02-14T01:18:45","date_gmt":"2024-02-14T01:18:45","guid":{"rendered":"http:\/\/covid-ai-wp-divi.egov.uni-koblenz.de\/?page_id=234163"},"modified":"2024-03-22T11:07:38","modified_gmt":"2024-03-22T11:07:38","slug":"project-event","status":"publish","type":"page","link":"https:\/\/covid-ai.uni-koblenz.de\/","title":{"rendered":"Projekt (DE)"},"content":{"rendered":"

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KI und COVID<\/strong><\/h1>\n

<\/strong><\/p>\n

<\/strong><\/p>\n

Erkl\u00e4rbarkeit und Entscheidungsunterst\u00fctzung <\/strong><\/span><\/p>\n

durch KI in Pandemie-Situationen<\/strong><\/span><\/p>\n

<\/strong><\/span><\/p>\n

<\/strong><\/span><\/p>\n

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Abschlussveranstaltung<\/p>\n

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Das Projekt<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.24.0″ text_font=”|700||on|||||” text_font_size=”15px” text_letter_spacing=”2px” header_2_font=”||||||||” background_color=”#0a243e” text_orientation=”center” background_layout=”dark” custom_margin=”10px||” custom_padding=”30px|20px|30px|20px|true|true” link_option_url=”#forschende” border_radii=”||||” locked=”off” global_colors_info=”{}” custom_padding__hover=”35px||35px||true” custom_padding__hover_enabled=”on” custom_margin__hover=”0px||” custom_margin__hover_enabled=”on” box_shadow_style__hover=”none” box_shadow_style__hover_enabled=”none” box_shadow_color__hover=”rgba(0,0,0,0.3)” box_shadow_color__hover_enabled=”rgba(0,0,0,0.3)” border_radii__hover_enabled=”on” border_radii__hover=”|10px|10px||”]<\/p>\n

Beteiligte Forschende<\/p>\n

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animation_speed_curve__hover_enabled=”ease-in-out” hover_transition_duration__hover=”300ms” hover_transition_duration__hover_enabled=”300ms” hover_transition_delay__hover=”0ms” hover_transition_delay__hover_enabled=”0ms” hover_transition_speed_curve__hover=”ease” hover_transition_speed_curve__hover_enabled=”ease” background_color_gradient_stops__hover=”#2b87da 0%|#29c4a9 100%”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ header_font=”||||||||” header_2_font=”Noto Serif||||||||” header_2_font_size=”40px” header_2_line_height=”1.4em” header_2_font_size_tablet=”30px” header_2_font_size_phone=”24px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}” custom_padding=”1px|||||”]<\/p>\n

Erfolgreiche Abschlussveranstaltung
\u201eKI und COVID: Erkl\u00e4rbarkeit und Entscheidungsunterst\u00fctzung durch KI in Pandemie-Situationen\u201c<\/strong><\/span><\/h1>\n

[\/et_pb_text][et_pb_divider color=”#FFBA5A” divider_weight=”3px” _builder_version=”4.16″ max_width=”80px” height=”3px” global_colors_info=”{}”]
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Zum Projektabschluss stellten die Forschenden die Ergebnisse in einer \u00f6ffentlichen Abschlussveranstaltung vor.
<\/span><\/p>\n

<\/strong><\/p>\n

Weitere Informationen siehe Abschlussveranstaltung<\/a><\/strong><\/p>\n

\u00a0<\/strong><\/p>\n

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Das Projekt
<\/span><\/h2>\n

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Die Fortschritte in der Digitalisierung bieten zur Auswertung und Prognose der Pandemieentwicklung mittlerweile sehr gro\u00dfe Datenmengen, um regionale Ma\u00dfnahmen und Handlungsstrategien zur Bek\u00e4mpfung der Pandemie abzuleiten und zu steuern. Die in diesem Kontext notwendigen komplexen Entscheidungsprozesse stellen aber vor allem politische Entscheidungstr\u00e4ger sowie haupt- und ehrenamtliche Aufgabentr\u00e4ger im Gesundheitswesen und Zivilschutz (Gesundheits\u00e4mter, \u00c4rzte und Krankenh\u00e4user, Rettungsdienst, udgl.) vor gro\u00dfe Herausforderungen, denn sie m\u00fcssen neben den grundlegenden gesundheits- und versorgungsrelevanten Fakten auch sozial-, wirtschafts- und gesellschaftspolitische Einflussfaktoren in ihre Entscheidungsfindung und Ma\u00dfnahmensetzung einflie\u00dfen lassen. Aus Sicht der B\u00fcrgerinnen und B\u00fcrger scheinen die getroffenen Entscheidungen nicht immer ausreichend transparent, wie die Erfahrungen mit der COVID-19-Pandemie zeigen.<\/span><\/p>\n

Das Projekt KI&COVID untersuchte, mit welchen Methoden und Werkzeugen der k\u00fcnstlichen Intelligenz (KI) die Komplexit\u00e4t der Ma\u00dfnahmensetzung zur Eind\u00e4mmung von Pandemien sowie zum vorsorgenden Schutz der Bev\u00f6lkerung reduziert werden kann. Zentrale Zielsetzung des Projekts war es daher, ein KI-gest\u00fctztes Expertensystem zu entwickeln, das einerseits Empfehlungen von Verhaltensregeln und Ma\u00dfnahmen zur Verringerung des COVID-19 Infektionsrisikos in der Bev\u00f6lkerung gibt und andererseits Aufgabentr\u00e4ger in den Bereichen Gesundheitsversorgung, Zivilschutz und Rettungsdienst unterst\u00fctzt, gezielte Ma\u00dfnahmen hinsichtlich Bev\u00f6lkerungsschutz und Ma\u00dfnahmen zur Handhabe und Eind\u00e4mmung der Pandemie zu geben.<\/span><\/p>\n

Auf der Grundlage verf\u00fcgbarer Daten sowie der Erfahrungen vergangener Ereignisse wurden selbstlernende KI-basierte Methoden des maschinellen Lernens eingesetzt, um Pandemie-bezogene Entwicklungen zu analysieren und zu visualisieren und damit ein Verst\u00e4ndnis spezifischer Zusammenh\u00e4nge und Wirkungen von Handlungsma\u00dfnahmen aufzubauen. Diese Methoden wurden erg\u00e4nzt durch mathematische Simulationen der epidemiologischen COVID-19-Dynamik.<\/span><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Sponsors” module_id=”forschende” _builder_version=”4.23.4″ locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ header_font=”||||||||” header_2_font=”Noto Serif||||||||” header_2_font_size=”40px” header_2_line_height=”1.4em” header_2_font_size_tablet=”30px” header_2_font_size_phone=”24px” header_2_font_size_last_edited=”on|phone” locked=”off” global_colors_info=”{}”]<\/p>\n

Beteiligte Forschende (Post-Docs und Professuren)<\/span><\/h2>\n

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\n[\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_4,3_4″ _builder_version=”4.23.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_4″ _builder_version=”4.23.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”http:\/\/covid-ai-wp-divi.egov.uni-koblenz.de\/wp-content\/uploads\/2024\/02\/FB3.png” title_text=”FB3″ _builder_version=”4.23.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_4″ _builder_version=”4.23.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.23.4″ _module_preset=”default” text_text_color=”#000000″ text_line_height=”1.2em” custom_padding=”7px||||false|false” global_colors_info=”{}”]<\/p>\n

Prof. Dr. Thomas G\u00f6tz, Mathematisches Institut<\/span><\/p>\n

Dr. Radomir Pestow, Mathematisches Institut<\/span><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_4,3_4″ _builder_version=”4.23.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_4″ _builder_version=”4.23.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”http:\/\/covid-ai-wp-divi.egov.uni-koblenz.de\/wp-content\/uploads\/2024\/02\/FB4.jpg” title_text=”FB4″ _builder_version=”4.23.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_4″ _builder_version=”4.23.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.23.4″ _module_preset=”default” text_text_color=”#000000″ text_line_height=”1.1em” custom_padding=”||2px|||” global_colors_info=”{}”]<\/p>\n

Dr. Schayan Ahmadian, FG Software Engineering<\/span><\/p>\n

Prof. Dr. Jan J\u00fcrjens, FG Software Engineering<\/span><\/p>\n

Dr. Hamed Khalili, FG E-Government<\/span><\/p>\n

Dr. Ulf Lotzmann, FG E-Government<\/span><\/p>\n

Prof. Dr. Andreas Mauthe, FG IT Sicherheit und Datensicherheit<\/span><\/p>\n

Prof. Dr. Maria A. Wimmer, FG E-Government (Sprecherin)<\/span><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

KI und COVID Erkl\u00e4rbarkeit und Entscheidungsunterst\u00fctzung durch KI in Pandemie-Situationen AbschlussveranstaltungDas ProjektBeteiligte ForschendeErfolgreiche Abschlussveranstaltung \u201eKI und COVID: Erkl\u00e4rbarkeit und Entscheidungsunterst\u00fctzung durch KI in Pandemie-Situationen\u201c Zum Projektabschluss stellten die Forschenden die Ergebnisse in einer \u00f6ffentlichen Abschlussveranstaltung vor. Weitere Informationen siehe Abschlussveranstaltung \u00a0Das Projekt Die Fortschritte in der Digitalisierung bieten zur Auswertung und Prognose der Pandemieentwicklung mittlerweile […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-234163","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/covid-ai.uni-koblenz.de\/index.php?rest_route=\/wp\/v2\/pages\/234163","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/covid-ai.uni-koblenz.de\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/covid-ai.uni-koblenz.de\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/covid-ai.uni-koblenz.de\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/covid-ai.uni-koblenz.de\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=234163"}],"version-history":[{"count":29,"href":"https:\/\/covid-ai.uni-koblenz.de\/index.php?rest_route=\/wp\/v2\/pages\/234163\/revisions"}],"predecessor-version":[{"id":234571,"href":"https:\/\/covid-ai.uni-koblenz.de\/index.php?rest_route=\/wp\/v2\/pages\/234163\/revisions\/234571"}],"wp:attachment":[{"href":"https:\/\/covid-ai.uni-koblenz.de\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=234163"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}