BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Springshare//LibCal//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE X-WR-TIMEZONE:America/New_York X-PUBLISHED-TTL:PT15M BEGIN:VEVENT DTSTART:20260827T170000Z DTEND:20260827T183000Z DTSTAMP:20260827T000000Z SUMMARY:AI in Action: Prompts\, Research\, and Responsible Use DESCRIPTION:Designed for researchers\, educators\, and students\, this series provides a comprehensive introduction to artificial intelligence and its applications in academic health sciences environments. Participants will explore AI technologies\, research tools\, ethical issues\, citation requirements\, and data governance considerations. Registration automatically enrolls you in all sessions in the series.\n\nFundamentals of AI - 8/27/2026 | 1:00 - 2:00 PM (60 min)\n\nThis session provides a foundational introduction to artificial intelligence (AI). Participants will explore key AI concepts\, including machine learning\, deep learning\, large language models\, generative AI\, retrieval-augmented generation (RAG)\, and prompt engineering\, while examining how these technologies are transforming knowledge creation and decision-making. The session also highlights current applications of AI in research and healthcare\, as well as introduce important limitations\, ethical considerations\, and risks associated with its utilization.\n\nAI Prompt Engineering - 9/3/2026 | 1:00 - 2:30 PM (90 min)\n\nGenerative AI tools can be powerful research assistants\, but the quality of their outputs depends heavily on the quality of the prompts they receive. This interactive session introduces the fundamentals of prompt engineering\, including practical frameworks for crafting more effective prompts and strategies for refining outputs through an iterative process. Participants will gain hands-on experience using AI tools for research tasks such as keyword generation and background exploration while learning how to recognize common pitfalls and verify AI-generated information.\n\nAI Research Tools - 9/10/2026 | 1:00 - 2:30 PM (90 min)\n\nThe growing ecosystem of AI-powered research tools offers new ways to discover\, organize\, and understand scholarly literature. In this hands-on session\, participants will explore the differences between generative AI tools and AI-assisted research tools\, as well as the strengths and limitations of each. Through demonstrations and an interactive activity\, learners will explore AI search engines\, academic discovery tools\, and citation mapping platforms to support literature searching while considering appropriate and responsible use in academic and clinical research.\n\nCiting AI - 9/17/2026 | 1:00 - 2:00 PM (60 min)\n\nAs artificial intelligence tools become increasingly common\, understanding how to properly cite AI-generated content is essential. This presentation explores the importance of transparency\, academic integrity\, and ethical use of AI tools such as Microsoft Copilot\, ChatGPT\, and other generative AI platforms. Participants will learn when AI citations are necessary\, how citation requirements vary by style guide\, and best practices for documenting AI-assisted work. Also discussed will be limits to the use of AI sources in submissions to academic journals.\n\nEthical Concerns of AI - 9/24/2026 | 1:00 - 2:30 PM (90 min)\n\nArtificial Intelligence (AI) is transforming medical research by accelerating data analysis\, improving disease prediction\, supporting drug discovery\, and enabling personalized medicine. However\, the use of AI in healthcare research raises important ethical questions related to patient privacy\, informed consent\, algorithmic bias\, transparency\, accountability\, and equitable access to healthcare innovations. This workshop explores the ethical challenges and responsibilities associated with implementing AI in medical research.\n\nAI & Data Integrity - 10/1/2026 | 1:00 - 2:30 PM (90 min)\n\nAI systems are only as reliable as the data they learn from\, access\, and generate. This session explores how data quality\, bias\, missing information\, and other data integrity challenges can influence AI-generated outputs and affect trust in those results. Participants will also examine important considerations related to privacy\, confidentiality\, and data security when using AI tools\, and learn the foundational principles of AI-ready data\, including data governance\, metadata\, standardization\, and stewardship practices that support effective and responsible AI use in research and organizational settings.\n ORGANIZER;CN="Jillian Silverberg":MAILTO:jsilverberg@uchc.edu CATEGORIES:Topics in Focus CONTACT;CN="Jillian Silverberg":MAILTO:jsilverberg@uchc.edu STATUS:CONFIRMED UID:LibCal-17301980 URL:https://uchc.libcal.com/event/17301980 X-MICROSOFT-CDO-BUSYSTATUS:BUSY BEGIN:VALARM TRIGGER:-PT15M ACTION:DISPLAY DESCRIPTION:Reminder END:VALARM END:VEVENT BEGIN:VEVENT DTSTART:20260903T170000Z DTEND:20260903T183000Z DTSTAMP:20260903T000000Z SUMMARY:AI in Action: Prompts\, Research\, and Responsible Use DESCRIPTION:Designed for researchers\, educators\, and students\, this series provides a comprehensive introduction to artificial intelligence and its applications in academic health sciences environments. Participants will explore AI technologies\, research tools\, ethical issues\, citation requirements\, and data governance considerations. Registration automatically enrolls you in all sessions in the series.\n\nFundamentals of AI - 8/27/2026 | 1:00 - 2:00 PM (60 min)\n\nThis session provides a foundational introduction to artificial intelligence (AI). Participants will explore key AI concepts\, including machine learning\, deep learning\, large language models\, generative AI\, retrieval-augmented generation (RAG)\, and prompt engineering\, while examining how these technologies are transforming knowledge creation and decision-making. The session also highlights current applications of AI in research and healthcare\, as well as introduce important limitations\, ethical considerations\, and risks associated with its utilization.\n\nAI Prompt Engineering - 9/3/2026 | 1:00 - 2:30 PM (90 min)\n\nGenerative AI tools can be powerful research assistants\, but the quality of their outputs depends heavily on the quality of the prompts they receive. This interactive session introduces the fundamentals of prompt engineering\, including practical frameworks for crafting more effective prompts and strategies for refining outputs through an iterative process. Participants will gain hands-on experience using AI tools for research tasks such as keyword generation and background exploration while learning how to recognize common pitfalls and verify AI-generated information.\n\nAI Research Tools - 9/10/2026 | 1:00 - 2:30 PM (90 min)\n\nThe growing ecosystem of AI-powered research tools offers new ways to discover\, organize\, and understand scholarly literature. In this hands-on session\, participants will explore the differences between generative AI tools and AI-assisted research tools\, as well as the strengths and limitations of each. Through demonstrations and an interactive activity\, learners will explore AI search engines\, academic discovery tools\, and citation mapping platforms to support literature searching while considering appropriate and responsible use in academic and clinical research.\n\nCiting AI - 9/17/2026 | 1:00 - 2:00 PM (60 min)\n\nAs artificial intelligence tools become increasingly common\, understanding how to properly cite AI-generated content is essential. This presentation explores the importance of transparency\, academic integrity\, and ethical use of AI tools such as Microsoft Copilot\, ChatGPT\, and other generative AI platforms. Participants will learn when AI citations are necessary\, how citation requirements vary by style guide\, and best practices for documenting AI-assisted work. Also discussed will be limits to the use of AI sources in submissions to academic journals.\n\nEthical Concerns of AI - 9/24/2026 | 1:00 - 2:30 PM (90 min)\n\nArtificial Intelligence (AI) is transforming medical research by accelerating data analysis\, improving disease prediction\, supporting drug discovery\, and enabling personalized medicine. However\, the use of AI in healthcare research raises important ethical questions related to patient privacy\, informed consent\, algorithmic bias\, transparency\, accountability\, and equitable access to healthcare innovations. This workshop explores the ethical challenges and responsibilities associated with implementing AI in medical research.\n\nAI & Data Integrity - 10/1/2026 | 1:00 - 2:30 PM (90 min)\n\nAI systems are only as reliable as the data they learn from\, access\, and generate. This session explores how data quality\, bias\, missing information\, and other data integrity challenges can influence AI-generated outputs and affect trust in those results. Participants will also examine important considerations related to privacy\, confidentiality\, and data security when using AI tools\, and learn the foundational principles of AI-ready data\, including data governance\, metadata\, standardization\, and stewardship practices that support effective and responsible AI use in research and organizational settings.\n ORGANIZER;CN="Jillian Silverberg":MAILTO:jsilverberg@uchc.edu CATEGORIES:Topics in Focus CONTACT;CN="Jillian Silverberg":MAILTO:jsilverberg@uchc.edu STATUS:CONFIRMED UID:LibCal-17301981 URL:https://uchc.libcal.com/event/17301981 X-MICROSOFT-CDO-BUSYSTATUS:BUSY BEGIN:VALARM TRIGGER:-PT15M ACTION:DISPLAY DESCRIPTION:Reminder END:VALARM END:VEVENT BEGIN:VEVENT DTSTART:20260910T170000Z DTEND:20260910T183000Z DTSTAMP:20260910T000000Z SUMMARY:AI in Action: Prompts\, Research\, and Responsible Use DESCRIPTION:Designed for researchers\, educators\, and students\, this series provides a comprehensive introduction to artificial intelligence and its applications in academic health sciences environments. Participants will explore AI technologies\, research tools\, ethical issues\, citation requirements\, and data governance considerations. Registration automatically enrolls you in all sessions in the series.\n\nFundamentals of AI - 8/27/2026 | 1:00 - 2:00 PM (60 min)\n\nThis session provides a foundational introduction to artificial intelligence (AI). Participants will explore key AI concepts\, including machine learning\, deep learning\, large language models\, generative AI\, retrieval-augmented generation (RAG)\, and prompt engineering\, while examining how these technologies are transforming knowledge creation and decision-making. The session also highlights current applications of AI in research and healthcare\, as well as introduce important limitations\, ethical considerations\, and risks associated with its utilization.\n\nAI Prompt Engineering - 9/3/2026 | 1:00 - 2:30 PM (90 min)\n\nGenerative AI tools can be powerful research assistants\, but the quality of their outputs depends heavily on the quality of the prompts they receive. This interactive session introduces the fundamentals of prompt engineering\, including practical frameworks for crafting more effective prompts and strategies for refining outputs through an iterative process. Participants will gain hands-on experience using AI tools for research tasks such as keyword generation and background exploration while learning how to recognize common pitfalls and verify AI-generated information.\n\nAI Research Tools - 9/10/2026 | 1:00 - 2:30 PM (90 min)\n\nThe growing ecosystem of AI-powered research tools offers new ways to discover\, organize\, and understand scholarly literature. In this hands-on session\, participants will explore the differences between generative AI tools and AI-assisted research tools\, as well as the strengths and limitations of each. Through demonstrations and an interactive activity\, learners will explore AI search engines\, academic discovery tools\, and citation mapping platforms to support literature searching while considering appropriate and responsible use in academic and clinical research.\n\nCiting AI - 9/17/2026 | 1:00 - 2:00 PM (60 min)\n\nAs artificial intelligence tools become increasingly common\, understanding how to properly cite AI-generated content is essential. This presentation explores the importance of transparency\, academic integrity\, and ethical use of AI tools such as Microsoft Copilot\, ChatGPT\, and other generative AI platforms. Participants will learn when AI citations are necessary\, how citation requirements vary by style guide\, and best practices for documenting AI-assisted work. Also discussed will be limits to the use of AI sources in submissions to academic journals.\n\nEthical Concerns of AI - 9/24/2026 | 1:00 - 2:30 PM (90 min)\n\nArtificial Intelligence (AI) is transforming medical research by accelerating data analysis\, improving disease prediction\, supporting drug discovery\, and enabling personalized medicine. However\, the use of AI in healthcare research raises important ethical questions related to patient privacy\, informed consent\, algorithmic bias\, transparency\, accountability\, and equitable access to healthcare innovations. This workshop explores the ethical challenges and responsibilities associated with implementing AI in medical research.\n\nAI & Data Integrity - 10/1/2026 | 1:00 - 2:30 PM (90 min)\n\nAI systems are only as reliable as the data they learn from\, access\, and generate. This session explores how data quality\, bias\, missing information\, and other data integrity challenges can influence AI-generated outputs and affect trust in those results. Participants will also examine important considerations related to privacy\, confidentiality\, and data security when using AI tools\, and learn the foundational principles of AI-ready data\, including data governance\, metadata\, standardization\, and stewardship practices that support effective and responsible AI use in research and organizational settings.\n ORGANIZER;CN="Jillian Silverberg":MAILTO:jsilverberg@uchc.edu CATEGORIES:Topics in Focus CONTACT;CN="Jillian Silverberg":MAILTO:jsilverberg@uchc.edu STATUS:CONFIRMED UID:LibCal-17301982 URL:https://uchc.libcal.com/event/17301982 X-MICROSOFT-CDO-BUSYSTATUS:BUSY BEGIN:VALARM TRIGGER:-PT15M ACTION:DISPLAY DESCRIPTION:Reminder END:VALARM END:VEVENT BEGIN:VEVENT DTSTART:20260917T170000Z DTEND:20260917T183000Z DTSTAMP:20260917T000000Z SUMMARY:AI in Action: Prompts\, Research\, and Responsible Use DESCRIPTION:Designed for researchers\, educators\, and students\, this series provides a comprehensive introduction to artificial intelligence and its applications in academic health sciences environments. Participants will explore AI technologies\, research tools\, ethical issues\, citation requirements\, and data governance considerations. Registration automatically enrolls you in all sessions in the series.\n\nFundamentals of AI - 8/27/2026 | 1:00 - 2:00 PM (60 min)\n\nThis session provides a foundational introduction to artificial intelligence (AI). Participants will explore key AI concepts\, including machine learning\, deep learning\, large language models\, generative AI\, retrieval-augmented generation (RAG)\, and prompt engineering\, while examining how these technologies are transforming knowledge creation and decision-making. The session also highlights current applications of AI in research and healthcare\, as well as introduce important limitations\, ethical considerations\, and risks associated with its utilization.\n\nAI Prompt Engineering - 9/3/2026 | 1:00 - 2:30 PM (90 min)\n\nGenerative AI tools can be powerful research assistants\, but the quality of their outputs depends heavily on the quality of the prompts they receive. This interactive session introduces the fundamentals of prompt engineering\, including practical frameworks for crafting more effective prompts and strategies for refining outputs through an iterative process. Participants will gain hands-on experience using AI tools for research tasks such as keyword generation and background exploration while learning how to recognize common pitfalls and verify AI-generated information.\n\nAI Research Tools - 9/10/2026 | 1:00 - 2:30 PM (90 min)\n\nThe growing ecosystem of AI-powered research tools offers new ways to discover\, organize\, and understand scholarly literature. In this hands-on session\, participants will explore the differences between generative AI tools and AI-assisted research tools\, as well as the strengths and limitations of each. Through demonstrations and an interactive activity\, learners will explore AI search engines\, academic discovery tools\, and citation mapping platforms to support literature searching while considering appropriate and responsible use in academic and clinical research.\n\nCiting AI - 9/17/2026 | 1:00 - 2:00 PM (60 min)\n\nAs artificial intelligence tools become increasingly common\, understanding how to properly cite AI-generated content is essential. This presentation explores the importance of transparency\, academic integrity\, and ethical use of AI tools such as Microsoft Copilot\, ChatGPT\, and other generative AI platforms. Participants will learn when AI citations are necessary\, how citation requirements vary by style guide\, and best practices for documenting AI-assisted work. Also discussed will be limits to the use of AI sources in submissions to academic journals.\n\nEthical Concerns of AI - 9/24/2026 | 1:00 - 2:30 PM (90 min)\n\nArtificial Intelligence (AI) is transforming medical research by accelerating data analysis\, improving disease prediction\, supporting drug discovery\, and enabling personalized medicine. However\, the use of AI in healthcare research raises important ethical questions related to patient privacy\, informed consent\, algorithmic bias\, transparency\, accountability\, and equitable access to healthcare innovations. This workshop explores the ethical challenges and responsibilities associated with implementing AI in medical research.\n\nAI & Data Integrity - 10/1/2026 | 1:00 - 2:30 PM (90 min)\n\nAI systems are only as reliable as the data they learn from\, access\, and generate. This session explores how data quality\, bias\, missing information\, and other data integrity challenges can influence AI-generated outputs and affect trust in those results. Participants will also examine important considerations related to privacy\, confidentiality\, and data security when using AI tools\, and learn the foundational principles of AI-ready data\, including data governance\, metadata\, standardization\, and stewardship practices that support effective and responsible AI use in research and organizational settings.\n ORGANIZER;CN="Jillian Silverberg":MAILTO:jsilverberg@uchc.edu CATEGORIES:Topics in Focus CONTACT;CN="Jillian Silverberg":MAILTO:jsilverberg@uchc.edu STATUS:CONFIRMED UID:LibCal-17301983 URL:https://uchc.libcal.com/event/17301983 X-MICROSOFT-CDO-BUSYSTATUS:BUSY BEGIN:VALARM TRIGGER:-PT15M ACTION:DISPLAY DESCRIPTION:Reminder END:VALARM END:VEVENT BEGIN:VEVENT DTSTART:20260924T170000Z DTEND:20260924T183000Z DTSTAMP:20260924T000000Z SUMMARY:AI in Action: Prompts\, Research\, and Responsible Use DESCRIPTION:Designed for researchers\, educators\, and students\, this series provides a comprehensive introduction to artificial intelligence and its applications in academic health sciences environments. Participants will explore AI technologies\, research tools\, ethical issues\, citation requirements\, and data governance considerations. Registration automatically enrolls you in all sessions in the series.\n\nFundamentals of AI - 8/27/2026 | 1:00 - 2:00 PM (60 min)\n\nThis session provides a foundational introduction to artificial intelligence (AI). Participants will explore key AI concepts\, including machine learning\, deep learning\, large language models\, generative AI\, retrieval-augmented generation (RAG)\, and prompt engineering\, while examining how these technologies are transforming knowledge creation and decision-making. The session also highlights current applications of AI in research and healthcare\, as well as introduce important limitations\, ethical considerations\, and risks associated with its utilization.\n\nAI Prompt Engineering - 9/3/2026 | 1:00 - 2:30 PM (90 min)\n\nGenerative AI tools can be powerful research assistants\, but the quality of their outputs depends heavily on the quality of the prompts they receive. This interactive session introduces the fundamentals of prompt engineering\, including practical frameworks for crafting more effective prompts and strategies for refining outputs through an iterative process. Participants will gain hands-on experience using AI tools for research tasks such as keyword generation and background exploration while learning how to recognize common pitfalls and verify AI-generated information.\n\nAI Research Tools - 9/10/2026 | 1:00 - 2:30 PM (90 min)\n\nThe growing ecosystem of AI-powered research tools offers new ways to discover\, organize\, and understand scholarly literature. In this hands-on session\, participants will explore the differences between generative AI tools and AI-assisted research tools\, as well as the strengths and limitations of each. Through demonstrations and an interactive activity\, learners will explore AI search engines\, academic discovery tools\, and citation mapping platforms to support literature searching while considering appropriate and responsible use in academic and clinical research.\n\nCiting AI - 9/17/2026 | 1:00 - 2:00 PM (60 min)\n\nAs artificial intelligence tools become increasingly common\, understanding how to properly cite AI-generated content is essential. This presentation explores the importance of transparency\, academic integrity\, and ethical use of AI tools such as Microsoft Copilot\, ChatGPT\, and other generative AI platforms. Participants will learn when AI citations are necessary\, how citation requirements vary by style guide\, and best practices for documenting AI-assisted work. Also discussed will be limits to the use of AI sources in submissions to academic journals.\n\nEthical Concerns of AI - 9/24/2026 | 1:00 - 2:30 PM (90 min)\n\nArtificial Intelligence (AI) is transforming medical research by accelerating data analysis\, improving disease prediction\, supporting drug discovery\, and enabling personalized medicine. However\, the use of AI in healthcare research raises important ethical questions related to patient privacy\, informed consent\, algorithmic bias\, transparency\, accountability\, and equitable access to healthcare innovations. This workshop explores the ethical challenges and responsibilities associated with implementing AI in medical research.\n\nAI & Data Integrity - 10/1/2026 | 1:00 - 2:30 PM (90 min)\n\nAI systems are only as reliable as the data they learn from\, access\, and generate. This session explores how data quality\, bias\, missing information\, and other data integrity challenges can influence AI-generated outputs and affect trust in those results. Participants will also examine important considerations related to privacy\, confidentiality\, and data security when using AI tools\, and learn the foundational principles of AI-ready data\, including data governance\, metadata\, standardization\, and stewardship practices that support effective and responsible AI use in research and organizational settings.\n ORGANIZER;CN="Jillian Silverberg":MAILTO:jsilverberg@uchc.edu CATEGORIES:Topics in Focus CONTACT;CN="Jillian Silverberg":MAILTO:jsilverberg@uchc.edu STATUS:CONFIRMED UID:LibCal-17301984 URL:https://uchc.libcal.com/event/17301984 X-MICROSOFT-CDO-BUSYSTATUS:BUSY BEGIN:VALARM TRIGGER:-PT15M ACTION:DISPLAY DESCRIPTION:Reminder END:VALARM END:VEVENT BEGIN:VEVENT DTSTART:20261001T170000Z DTEND:20261001T183000Z DTSTAMP:20261001T000000Z SUMMARY:AI in Action: Prompts\, Research\, and Responsible Use DESCRIPTION:Designed for researchers\, educators\, and students\, this series provides a comprehensive introduction to artificial intelligence and its applications in academic health sciences environments. Participants will explore AI technologies\, research tools\, ethical issues\, citation requirements\, and data governance considerations. Registration automatically enrolls you in all sessions in the series.\n\nFundamentals of AI - 8/27/2026 | 1:00 - 2:00 PM (60 min)\n\nThis session provides a foundational introduction to artificial intelligence (AI). Participants will explore key AI concepts\, including machine learning\, deep learning\, large language models\, generative AI\, retrieval-augmented generation (RAG)\, and prompt engineering\, while examining how these technologies are transforming knowledge creation and decision-making. The session also highlights current applications of AI in research and healthcare\, as well as introduce important limitations\, ethical considerations\, and risks associated with its utilization.\n\nAI Prompt Engineering - 9/3/2026 | 1:00 - 2:30 PM (90 min)\n\nGenerative AI tools can be powerful research assistants\, but the quality of their outputs depends heavily on the quality of the prompts they receive. This interactive session introduces the fundamentals of prompt engineering\, including practical frameworks for crafting more effective prompts and strategies for refining outputs through an iterative process. Participants will gain hands-on experience using AI tools for research tasks such as keyword generation and background exploration while learning how to recognize common pitfalls and verify AI-generated information.\n\nAI Research Tools - 9/10/2026 | 1:00 - 2:30 PM (90 min)\n\nThe growing ecosystem of AI-powered research tools offers new ways to discover\, organize\, and understand scholarly literature. In this hands-on session\, participants will explore the differences between generative AI tools and AI-assisted research tools\, as well as the strengths and limitations of each. Through demonstrations and an interactive activity\, learners will explore AI search engines\, academic discovery tools\, and citation mapping platforms to support literature searching while considering appropriate and responsible use in academic and clinical research.\n\nCiting AI - 9/17/2026 | 1:00 - 2:00 PM (60 min)\n\nAs artificial intelligence tools become increasingly common\, understanding how to properly cite AI-generated content is essential. This presentation explores the importance of transparency\, academic integrity\, and ethical use of AI tools such as Microsoft Copilot\, ChatGPT\, and other generative AI platforms. Participants will learn when AI citations are necessary\, how citation requirements vary by style guide\, and best practices for documenting AI-assisted work. Also discussed will be limits to the use of AI sources in submissions to academic journals.\n\nEthical Concerns of AI - 9/24/2026 | 1:00 - 2:30 PM (90 min)\n\nArtificial Intelligence (AI) is transforming medical research by accelerating data analysis\, improving disease prediction\, supporting drug discovery\, and enabling personalized medicine. However\, the use of AI in healthcare research raises important ethical questions related to patient privacy\, informed consent\, algorithmic bias\, transparency\, accountability\, and equitable access to healthcare innovations. This workshop explores the ethical challenges and responsibilities associated with implementing AI in medical research.\n\nAI & Data Integrity - 10/1/2026 | 1:00 - 2:30 PM (90 min)\n\nAI systems are only as reliable as the data they learn from\, access\, and generate. This session explores how data quality\, bias\, missing information\, and other data integrity challenges can influence AI-generated outputs and affect trust in those results. Participants will also examine important considerations related to privacy\, confidentiality\, and data security when using AI tools\, and learn the foundational principles of AI-ready data\, including data governance\, metadata\, standardization\, and stewardship practices that support effective and responsible AI use in research and organizational settings.\n ORGANIZER;CN="Jillian Silverberg":MAILTO:jsilverberg@uchc.edu CATEGORIES:Topics in Focus CONTACT;CN="Jillian Silverberg":MAILTO:jsilverberg@uchc.edu STATUS:CONFIRMED UID:LibCal-17301985 URL:https://uchc.libcal.com/event/17301985 X-MICROSOFT-CDO-BUSYSTATUS:BUSY BEGIN:VALARM TRIGGER:-PT15M ACTION:DISPLAY DESCRIPTION:Reminder END:VALARM END:VEVENT END:VCALENDAR