{"id":5354,"date":"2025-01-23T16:37:10","date_gmt":"2025-01-23T15:37:10","guid":{"rendered":"https:\/\/it-u.at\/?post_type=study-program&#038;p=5354"},"modified":"2026-04-23T12:24:06","modified_gmt":"2026-04-23T10:24:06","slug":"digital-humanities-health-and-life-sciences","status":"publish","type":"study-program","link":"https:\/\/it-u.at\/en\/study-program\/digital-humanities-health-and-life-sciences\/","title":{"rendered":"Master&#8217;s Program Specialization"},"content":{"rendered":"\n<div class=\"col-12 col-md-6 col-lg-6 align wp-block-atom-box\">\n\n            <div class=\"box has-white-background-color\">\n                \n        <div class=\"is-layout-constrained\">\n\n<h2 class=\"wp-block-heading\"><strong>Digital Humanities, Health, and Life Sciences<\/strong><\/h2>\n\n\n\n<p>Students will learn how to bring computational methods to a wide range of areas such as health, psychology or neuroscience. The goal is to equip students with skills that allow them to understand human behavior and capacities such as creativity or intelligence and work responsibly with medical data to bring value to people\u2019s lives.<\/p>\n\n<\/div>\n\n        \n            <\/div> \n        \n<\/div>\n\n\n<div class=\"col-12 col-md-6 col-lg-6 align wp-block-atom-box\">\n\n            <div class=\"box has-white-background-color\">\n                \n        <div class=\"is-layout-constrained\">\n\n<h3 class=\"wp-block-heading\">Learn<strong>Labs and technologies<\/strong><\/h3>\n\n\n\n<p>Students gain experience across several labs during the program, but for Digital Humanities, Health, and Life Sciences, the strongest links are to labs and methods that help you work with data science, database systems, generative AI, and data-rich systems connected to health and life sciences.<\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong><strong>You also work with emerging technologies in:<\/strong><\/strong><\/summary>\n<ul>\n<li>Computational methods for health, psychology, and neuroscience<\/li>\n\n\n\n<li>Medical data and responsible data use<\/li>\n\n\n\n<li>Digital tools for understanding creativity, intelligence, and human capacities<\/li>\n\n\n\n<li>Data-driven approaches in medical research<\/li>\n<\/ul>\n<\/details>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>Core LearnLabs include:<\/strong><\/summary>\n<ul>\n<li>Data Science Lab (DORO) \u2013 working with complex datasets and computational methods<\/li>\n\n\n\n<li>Extended Reality Lab (RITA) \u2013 exploring immersive technologies that support experience, learning, and simulation<\/li>\n<\/ul>\n<\/details>\n\n\n<div style=\"margin-top:var(--wp--preset--spacing--5);margin-bottom:var(--wp--preset--spacing--5);\" class=\" alignfull has-background has-atom-bg-light-background-color wp-block-atom-grid\">\n    <div class=\"container container-wide\">\n        <div class=\"row justify-content-center\">\n\n<div style=\"margin-top:0;margin-bottom:0;\" class=\"col-12 col-md-4 col-lg-4 align wp-block-atom-box\">\n\n            <a href=\"https:\/\/it-u.at\/en\/labs\/doro-data-science-lab\/\" class=\"box with-full-size-image has-white-background-color\">\n                \n        <div class=\"is-layout-constrained\">\n\n<figure class=\"wp-block-image aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md07226-1-1024x683.jpg\" alt=\"\" class=\"wp-image-18951\" srcset=\"https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md07226-1-1024x683.jpg 1024w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md07226-1-300x200.jpg 300w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md07226-1-768x512.jpg 768w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md07226-1-1536x1024.jpg 1536w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md07226-1-2048x1365.jpg 2048w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md07226-1-1800x1200.jpg 1800w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n\n<h3 class=\"wp-block-heading\">DORO \u2013 Data Science Lab<\/h3>\n\n<\/div>\n\n                    <div class=\"wp-block-buttons is-content-justification-center is-layout-flex mt-3\">\n                <div class=\"wp-block-button\">\n                    <span class=\"wp-block-button__link wp-element-button\">\n                        :explore more                    <\/span>\n                <\/div>\n            <\/div>\n        \n            <\/a>\n        \n<\/div>\n\n\n<div style=\"margin-top:0;margin-bottom:0;\" class=\"col-12 col-md-4 col-lg-4 align wp-block-atom-box\">\n\n            <a href=\"https:\/\/it-u.at\/en\/labs\/rita-extended-reality-lab\/\" class=\"box with-full-size-image has-white-background-color\">\n                \n        <div class=\"is-layout-constrained\">\n\n<figure class=\"wp-block-image aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/it-u.at\/wp-content\/uploads\/2026\/03\/16\/md08396-1800x1200-1-1024x683.jpg\" alt=\"\" class=\"wp-image-17648\" srcset=\"https:\/\/it-u.at\/wp-content\/uploads\/2026\/03\/16\/md08396-1800x1200-1-1024x683.jpg 1024w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/03\/16\/md08396-1800x1200-1-300x200.jpg 300w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/03\/16\/md08396-1800x1200-1-768x512.jpg 768w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/03\/16\/md08396-1800x1200-1-1536x1024.jpg 1536w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/03\/16\/md08396-1800x1200-1.jpg 1800w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n\n<h3 class=\"wp-block-heading\">RITA \u2013 Extended Reality Lab<\/h3>\n\n<\/div>\n\n                    <div class=\"wp-block-buttons is-content-justification-center is-layout-flex mt-3\">\n                <div class=\"wp-block-button\">\n                    <span class=\"wp-block-button__link wp-element-button\">\n                        :explore more                    <\/span>\n                <\/div>\n            <\/div>\n        \n            <\/a>\n        \n<\/div>\n<\/div>\n    <\/div>\n<\/div>\n<\/div>\n\n        \n            <\/div> \n        \n<\/div>\n\n\n<div class=\"col-12 col-md-6 col-lg-6 align wp-block-atom-box\">\n\n            <div class=\"box has-white-background-color\">\n                \n        <div class=\"is-layout-constrained\">\n\n<h3 class=\"wp-block-heading\"><strong><strong>What you will work on<\/strong><\/strong><\/h3>\n\n\n\n<p>You work on projects where the goal is to apply computational methods to better understand people, behavior, and data-rich questions in health and life sciences.<\/p>\n\n\n\n<p><br>Across all projects, you move from understanding the human question to applying computational methods, working with data responsibly, and generating useful insights or solutions.<\/p>\n\n\n\n<p><strong>Typical projects focus on:<\/strong><\/p>\n\n\n\n<ul>\n<li>Applying computational methods to health-related questions.<\/li>\n\n\n\n<li>Working with data connected to psychology, neuroscience, or medical contexts.<\/li>\n\n\n\n<li>Using digital tools to generate meaningful insights in medical domains.<\/li>\n\n\n\n<li>Approaching medical and human data responsibly in real-world settings.<\/li>\n<\/ul>\n\n\n\n<p><strong>Project examples:<\/strong><\/p>\n\n\n\n<ul>\n<li>Work with medical data to identify patterns that support better understanding and decision-making.<\/li>\n\n\n\n<li>Explore how computational methods can help analyze human behavior or cognitive processes.<\/li>\n\n\n\n<li>Develop digital approaches for questions in psychology or neuroscience.<\/li>\n\n\n\n<li>Investigate how AI can become more transparent and trustworthy in real-world applications.<\/li>\n\n\n\n<li>Build project-based solutions that connect technology with real health or life science challenges.<\/li>\n<\/ul>\n\n\n\n<p><strong>Current potential projects:<\/strong><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>Project: LLM-Driven &#8220;Chat-to-Cohort&#8221; Assistant<\/summary>\n<p><span style=\"text-decoration: underline;\">Executive Summary:<\/span> this project lowers the technical barrier for clinical researchers by developing a Natural Language Interface (NLI). Instead of manually building cohorts using a GUI, users can query the database in plain English (e.g., &#8220;Show me survival rates for male patients over 60 with RA on Methotrexate&#8221;). The system translates this into structured OMOP JSON\/SQL queries.<\/p>\n\n\n\n<p><span style=\"text-decoration: underline;\">Problem Statement<\/span>: complex cohort definitions require deep knowledge of the OMOP vocabulary and boolean logic, limiting database accessibility to &#8220;power users.&#8221;+<\/p>\n\n\n\n<p><span style=\"text-decoration: underline;\">Proposed Methodology<\/span>:<\/p>\n\n\n\n<ol>\n<li>Vocabulary Mapping (RAG): Implement Retrieval-Augmented Generation using Athena and UMLS. When a user types &#8220;Heart Attack,&#8221; the system retrieves the specific OMOP Concept ID (e.g., 4329847 Myocardial Infarction).<\/li>\n\n\n\n<li>Logic Translation: Fine-tune or prompt-engineer an LLM (e.g., GPT-4, Llama 3) to convert natural language constraints into your dashboard\u2019s native JSON query format.<\/li>\n\n\n\n<li>Context Awareness: Train the model on PubMed abstracts to understand medical context (e.g., resolving &#8220;R-CHOP&#8221; into its constituent drugs: Rituximab, Cyclophosphamide, etc.).<\/li>\n\n\n\n<li>Validation Loop: Generate a human-readable summary of the interpreted query for user verification before execution.<\/li>\n<\/ol>\n\n\n\n<p><span style=\"text-decoration: underline;\">Value Proposition:<\/span><\/p>\n\n\n\n<ul>\n<li>User: Significantly improves usability and adoption among non-technical clinicians.<\/li>\n\n\n\n<li>Academic: Novel application of LLMs for translating clinical intent to standardized data models.<\/li>\n<\/ul>\n<\/details>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>Project: Automated Adverse Event Signal Detection<\/summary>\n<p><\/p>\n\n\n\n<p><span style=\"text-decoration: underline;\">Executive Summary:<\/span>  a Pharmacovigilance (PV) tool that automatically scans patient data to detect &#8220;unexpected&#8221; signals\u2014adverse events (AEs) or abnormal lab measurements that appear more frequently in a specific drug cohort than expected. The system validates these internal signals against global public safety databases<\/p>\n\n\n\n<p><span style=\"text-decoration: underline;\">Problem Statement<\/span>: Manual review of safety data is slow and prone to bias. Researchers need an automated &#8220;smoke detector&#8221; that distinguishes random noise from genuine safety concerns in real-world data<\/p>\n\n\n\n<p><span style=\"text-decoration: underline;\">Proposed Methodology<\/span>:<\/p>\n\n\n\n<ol>\n<li>Disproportionality Analysis: Calculate Proportional Reporting Ratios (PRR) within the internal OMOP data to find Condition\/Drug pairs with high association.<br><\/li>\n\n\n\n<li style=\"margin-top:0;margin-right:0;margin-bottom:0;margin-left:0\">Baseline Calibration (External): Query the OpenFDA\/FAERS API to fetch global reporting rates for the same pairs.<br>\u25cb Logic: If Internal Rate &gt;&gt; FAERS Rate, it is a high-priority novel signal.<br>\u25cb Logic: If Internal Rate \u2248 FAERS Rate, it is a known safety profile.<br><\/li>\n\n\n\n<li>Filtering Known Effects: Use SIDER (Side Effect Resource) to flag and filter out AEs already listed on the drug label, focusing the dashboard on new findings.<br><\/li>\n\n\n\n<li>Visualization: Plot signals on a &#8220;Volcano Plot&#8221; (Magnitude of effect vs. Statistical significance).<\/li>\n<\/ol>\n\n\n\n<p><span style=\"text-decoration: underline;\">Value Proposition:<\/span><\/p>\n\n\n\n<ul>\n<li>User: Significantly improves usability and adoption among non-technical clinicians.<\/li>\n\n\n\n<li>Academic: Novel application of LLMs for translating clinical intent to standardized data models.<\/li>\n<\/ul>\n<\/details>\n\n\n\n<div style=\"margin-top:var(--wp--preset--spacing--4);margin-bottom:var(--wp--preset--spacing--4);\" class=\" align wp-block-atom-gallery\">\n\n            <div class=\"slick-slider photoswipe-container\" \n            data-slides-to-show=\"4\"\n            data-slides-to-scroll=\"1\"\n            data-infinite=\"0\"\n            data-autoplay-speed=\"3\">\n\n            <a href=\"https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09502-scaled.jpg\" class=\"image-slide photoswipe-image\" data-pswp-width=\"2560\" data-pswp-height=\"1707\" data-cropped=\"true\"><img fetchpriority=\"high\" decoding=\"async\" width=\"768\" height=\"512\" src=\"https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09502-768x512.jpg\" class=\"skip-lazy\" alt=\"\" loading=\"eager\" srcset=\"https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09502-768x512.jpg 768w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09502-300x200.jpg 300w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09502-1024x683.jpg 1024w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09502-1536x1024.jpg 1536w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09502-2048x1365.jpg 2048w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09502-1800x1200.jpg 1800w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/><\/a><a href=\"https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09515-scaled.jpg\" class=\"image-slide photoswipe-image\" data-pswp-width=\"2560\" data-pswp-height=\"1707\" data-cropped=\"true\"><img decoding=\"async\" width=\"768\" height=\"512\" src=\"https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09515-768x512.jpg\" class=\"skip-lazy\" alt=\"\" loading=\"eager\" srcset=\"https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09515-768x512.jpg 768w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09515-300x200.jpg 300w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09515-1024x683.jpg 1024w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09515-1536x1024.jpg 1536w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09515-2048x1365.jpg 2048w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09515-1800x1200.jpg 1800w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/><\/a><a href=\"https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09454-scaled.jpg\" class=\"image-slide photoswipe-image\" data-pswp-width=\"2560\" data-pswp-height=\"1707\" data-cropped=\"true\"><img decoding=\"async\" width=\"768\" height=\"512\" src=\"https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09454-768x512.jpg\" class=\"skip-lazy\" alt=\"\" loading=\"eager\" srcset=\"https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09454-768x512.jpg 768w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09454-300x200.jpg 300w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09454-1024x683.jpg 1024w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09454-1536x1024.jpg 1536w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09454-2048x1365.jpg 2048w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/md09454-1800x1200.jpg 1800w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/><\/a><a href=\"https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/1134-md03150-scaled.jpg\" class=\"image-slide photoswipe-image\" data-pswp-width=\"2560\" data-pswp-height=\"1707\" data-cropped=\"true\"><img decoding=\"async\" width=\"768\" height=\"512\" src=\"https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/1134-md03150-768x512.jpg\" class=\"skip-lazy\" alt=\"\" loading=\"eager\" srcset=\"https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/1134-md03150-768x512.jpg 768w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/1134-md03150-300x200.jpg 300w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/1134-md03150-1024x683.jpg 1024w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/1134-md03150-1536x1024.jpg 1536w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/1134-md03150-2048x1365.jpg 2048w, https:\/\/it-u.at\/wp-content\/uploads\/2026\/04\/20\/1134-md03150-1800x1200.jpg 1800w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/><\/a>        <\/div>\n        <button class=\"atom-pause-button atom-slider-pause-button\" aria-label=\"Play\/Pause slider\">\n                <i class=\"fa-sharp fa-pause\"><\/i>\n            <\/button>    \n<\/div>\n<\/div>\n\n        \n            <\/div> \n        \n<\/div>\n\n\n<div class=\"col-12 col-md-6 col-lg-6 align wp-block-atom-box\">\n\n            <div class=\"box has-white-background-color\">\n                \n        <div class=\"is-layout-constrained\">\n\n<h3 class=\"wp-block-heading\"><strong>Career directions<\/strong><\/h3>\n\n\n\n<p>Digital Humanities, Health, and Life Sciences prepares you for careers where the goal is to apply computational methods to questions in health, psychology, neuroscience, and related fields. In particular, this year\u2019s cohort focuses on health and life sciences, with humanities to be added at a later stage.<\/p>\n\n\n\n<p>What makes these paths attractive is that they sit at the intersection of some of today\u2019s most important challenges: health, trustworthy AI, human behavior, and the responsible use of data. In other words, you are not only learning how to work with computational methods. You are learning how to apply them in ways that can improve people\u2019s lives.<\/p>\n\n\n\n<p><strong>Career prospects:<\/strong><\/p>\n\n\n\n<p>This specialization is especially relevant for roles such as Digital Health Specialist, Medical Data Specialist, Health Innovation Manager, Medical Data Scientist, Neuroscience Researcher, or Research Assistant in health and life sciences.<\/p>\n\n<\/div>\n\n        \n            <\/div> \n        \n<\/div>\n\n\n<div class=\"col-12 col-md-6 col-lg-6 align wp-block-atom-box\">\n\n            <div class=\"box has-white-background-color\">\n                \n        <div class=\"is-layout-constrained\">\n\n<h3 class=\"wp-block-heading\"><strong>Who this path is for<\/strong><\/h3>\n\n\n\n<p>Digital Humanities, Health, and Life Sciences is best suited for students who are interested in data science, health, and human behavior, and who want to use computational methods to explore these areas in meaningful ways.<\/p>\n\n\n\n<p>You do not need to come from one specific background, but you should be curious about how computation can help us better understand health, psychology, neuroscience, and human capacities such as creativity or intelligence. It is helpful to have prior knowledge in data science and database systems, as the data is often quite complex and industry partnerships allow you to systematically learn advanced techniques.<\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>This specialization is a strong fit for students from bachelor programs such as:<\/summary>\n<ul>\n<li>Psychology, Cognitive Science, or Neuroscience \u2013 who want to apply computational methods to human behavior and cognition<\/li>\n\n\n\n<li>Computer Science, Data Science, or AI-related fields \u2013 who want to work on human-centered and health-related questions<\/li>\n\n\n\n<li>Biology, Health Sciences, or Life Sciences \u2013 who want to connect scientific knowledge with digital methods<\/li>\n\n\n\n<li>Digital Humanities or interdisciplinary humanities programs \u2013 who want to use computational tools to explore human-centered questions<\/li>\n\n\n\n<li>Mathematics, Statistics, or other quantitative fields \u2013 who want to apply analytical methods in health and life science contexts<\/li>\n<\/ul>\n<\/details>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>In terms of mindset, this specialization fits students who:<\/summary>\n<ul>\n<li>are interested in medicine, health, psychology, neuroscience, or human behavior<\/li>\n\n\n\n<li>care about responsible and meaningful uses of data<\/li>\n\n\n\n<li>prefer working across disciplines rather than staying within one narrow field<\/li>\n<\/ul>\n<\/details>\n\n<\/div>\n\n        \n            <\/div> \n        \n<\/div>\n\n\n<div class=\"col-12 col-md-6 col-lg-6 align wp-block-atom-box\">\n\n            <div class=\"box has-white-background-color\">\n                \n        <div class=\"is-layout-constrained\">\n\n<h3 class=\"wp-block-heading\"><strong>What makes this specialization at IT:U different?<\/strong><\/h3>\n\n\n\n<p>Digital Humanities, Health, and Life Sciences at IT:U goes beyond traditional programs in health, psychology, or data science by combining vast domain knowledge and computational methods in one integrated learning experience.<\/p>\n\n\n\n<p>Instead of studying health, behavior, or computation in isolation, you learn how to bring digital and computational approaches into areas such as health, psychology, and neuroscience. At the same time, the specialization places clear emphasis on understanding human behavior and human capacities, and on working responsibly with medical data.<\/p>\n\n\n\n<p>A key difference is the project-based and interdisciplinary approach. You do not just learn methods. You apply them in a hands-on environment designed to prepare you for both industry and academia. This year, it will be five industry projects with Syndena that help this cohort connect beyond simulations.<\/p>\n\n\n\n<p>Another important aspect is the focus on trustworthy and meaningful technology in medical and health-related domains. In simple terms, you do not just learn how to apply computation to data. You learn how to apply it responsibly to questions that matter for people\u2019s lives.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/it-u.at\/en\/interdisciplinary-study-programs\/project-based-learning\/\" target=\"_blank\" rel=\"noreferrer noopener\">:discover project-based learning<\/a><\/div>\n<\/div>\n\n<\/div>\n\n        \n            <\/div> \n        \n<\/div>\n\n<div style=\"color:var(--wp--preset--color--black);\" class=\" alignfull has-text-color has-background has-white-background-color wp-block-atom-large-quote\">\n    <div class=\"container container-wide\">\n        <div class=\"row align-items-center px-2 ps-md-0\">\n            <div class=\"col-12 col-md-4 ps-md-0\">\n                <img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"1000\" src=\"https:\/\/it-u.at\/wp-content\/uploads\/2025\/01\/15\/nina-hubig.jpg\" class=\"attachment-large size-large\" alt=\"\" srcset=\"https:\/\/it-u.at\/wp-content\/uploads\/2025\/01\/15\/nina-hubig.jpg 1000w, https:\/\/it-u.at\/wp-content\/uploads\/2025\/01\/15\/nina-hubig-300x300.jpg 300w, https:\/\/it-u.at\/wp-content\/uploads\/2025\/01\/15\/nina-hubig-150x150.jpg 150w, https:\/\/it-u.at\/wp-content\/uploads\/2025\/01\/15\/nina-hubig-768x768.jpg 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><span class=\"credits\">\u00a9 IT:U<\/span>            <\/div>\n            <div class=\"col-12 col-md-8 py-2 py-md-3 ps-xl-5\">\n                                <blockquote class=\"mb-2\">\n                    &#8220;Our mission is to transform AI into a more transparent and trustworthy tool by ensuring that its decisions and actions are easily understood by everyone.&#8221;                <\/blockquote>\n                <cite>\n                    Nina Hubig, Assistant Professor of Explainable Artificial Intelligence                <\/cite>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n\n<div style=\"height:27px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"col-12 col-md-6 col-lg-6 align wp-block-atom-box\">\n\n            <div class=\"box has-white-background-color\">\n                \n        <div class=\"is-layout-constrained\">\n\n<h3 class=\"wp-block-heading\">You want to study at IT:U?<\/h3>\n\n\n\n<p>Are you ready to apply and start transforming tomorrow? Click below! 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