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DTSTART;TZID=America/New_York:20251111T120000
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SUMMARY:IDIES RSE Luncheon Seminar:\nDaniel Muthukrishna
DESCRIPTION:IDIES Luncheon Seminar Series\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nTuesday\, November 11 @ 12:00pm–1:30pm \n\n\n\n| \n\n\n\nBloomberg Center for Physics and Astronomy\, Room 462 \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSpeaker: \n\n\n\nDaniel Muthukrishna\n\n\n\nMassachusetts Institute of Technology (MIT)\, Harvard’s Center for Astrophysics \n\n\n\n\n\nImage courtesy of Daniel Muthukrishna’s personal site: https://danielmuthukrishna.com/ \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nDaniel Muthukrishna\, astrophysicist and ML research scientist at the Massachusetts Institute of Technology (MIT) and an AstroAI Fellow at Harvard & Smithsonian Center for Astrophysics\, visits IDIES at the Bloomberg Center for Physics and Astronomy  on Tuesday\, November 11 at 12pm. Registration is required. \n\n\n\nWith a PhD in Astrophysics from the University of Cambridge\, Dr. Muthukrishna specializes in applying advanced machine learning techniques to analyze astronomical data. He is a vital member of the Transiting Exoplanet Survey Satellite (TESS) team\, where he leverages neural networks to classify exoplanets. \n\n\n\nHis research covers a range of topics\, from modeling supernovae to anomaly detection in large datasets using cutting-edge methods like diffusion models and transformers. Dr. Muthukrishna has developed widely-used software tools that enhance the accuracy and efficiency of astronomical data analysis. \n\n\n\n\n\n\n\n\n\nSpeaking on: \n\n\n\nCausal Foundation Models: Disentangling Physics from Systematics\n\n\n\nRegistrations are closed for this event \n\n\n\n\n\nTalk Abstract: Foundation models for scientific data must contend with a fundamental challenge: observations often conflate the true underlying physical phenomena with systematic distortions introduced by measurement instruments. This entanglement limits model generalization\, especially in heterogeneous or multi-instrument settings.  \n\n\n\nIn this talk\, I  present a causally-motivated foundation model that explicitly disentangles physical and instrumental factors using a dual-encoder architecture trained with structured contrastive learning or a generative flow-matching model. Leveraging naturally occurring observational triplets (i.e.\, where the same target is measured under varying conditions\, and distinct targets are measured under shared conditions)\, the model learns separate latent representations for the underlying physical signal and instrument effects. Evaluated on simulated astronomical time series designed to resemble the complexity of variable stars observed by missions like NASA’s Transiting Exoplanet Survey Satellite (TESS)\, the method outperforms traditional single-latent space foundation models on downstream prediction tasks\, particularly in low-data regimes. These results demonstrate that our model supports key capabilities of foundation models\, including few-shot generalization and efficient adaptation\, and highlight the importance of encoding causal structure into representation learning for structured data.  \n\n\n\nRegistration is free\, but required. A pizza lunch will be provided.
URL:https://www.idies.jhu.edu/event/seminar-muthukrishna/
CATEGORIES:IDIES Seminar
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251016T083000
DTEND;TZID=America/New_York:20251016T170000
DTSTAMP:20260502T130027
CREATED:20250711T171128Z
LAST-MODIFIED:20251015T191923Z
UID:21489-1760603400-1760634000@www.idies.jhu.edu
SUMMARY:2025 IDIES Annual Symposium
DESCRIPTION:Join the Institute for Data-Intensive Engineering and Science (IDIES) at Johns Hopkins Homewood Campus for our annual event of big-data themed talks\, project updates\, and networking opportunities. \n\n\n\nKeep an eye out for announcements and updates about our keynote speakers\, annual poster competition\, and more! \n\n\n\nhttps://www.idies.jhu.edu/outreach-events/annual-symposium/2025-symposium
URL:https://www.idies.jhu.edu/event/2025-symposium/
LOCATION:Scott-Bates Commons\, 3301 N Charles St\, Baltimore\, MD 21218\, 3301 N Charles St\, Baltimore\, Maryland\, 21234\, United States
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241017T083000
DTEND;TZID=America/New_York:20241017T170000
DTSTAMP:20260502T130027
CREATED:20240918T162908Z
LAST-MODIFIED:20240918T195639Z
UID:16954-1729153800-1729184400@www.idies.jhu.edu
SUMMARY:2024 IDIES Annual Symposium
DESCRIPTION:Join the Institute for Data-Intensive Engineering and Science (IDIES) at Johns Hopkins Homewood Campus for our annual event of big-data themed talks and project updates. \n\n\n\nKeep an eye out for announcements and updates about our Keynote Speakers\, our Poster competition\, and more! \n\n\n\n\nhttps://www.idies.jhu.edu/news-events/events/idies-annual-symposium/
URL:https://www.idies.jhu.edu/event/2024-idies-annual-symposium/
LOCATION:Scott-Bates Commons\, 3301 N Charles St\, Baltimore\, MD 21218\, 3301 N Charles St\, Baltimore\, Maryland\, 21234\, United States
CATEGORIES:Symposium
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231013T083000
DTEND;TZID=America/New_York:20231013T170000
DTSTAMP:20260502T130027
CREATED:20230907T205016Z
LAST-MODIFIED:20230907T205556Z
UID:15028-1697185800-1697216400@www.idies.jhu.edu
SUMMARY:2023 IDIES Annual Symposium
DESCRIPTION:Join the Institute for Data-Intensive Engineering and Science (IDIES) at Johns Hopkins Homewood Campus for our annual event of big-data themed talks and project updates.
URL:https://www.idies.jhu.edu/event/2023-annual-symposium/
LOCATION:Glass Pavilion\, Levering Hall\, Johns Hopkins University\, Homewood campus\, 3400 N. Charles St.\, Baltimore\, Maryland\, 21218\, United States
CATEGORIES:Symposium
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230216T140000
DTEND;TZID=America/New_York:20230216T140000
DTSTAMP:20260502T130027
CREATED:20230127T194051Z
LAST-MODIFIED:20250501T161029Z
UID:13550-1676556000-1676556000@www.idies.jhu.edu
SUMMARY:ChatGPT\, AI\, and the Future of Higher Education
DESCRIPTION:ChatGPT\, AI\, and the Future of Higher Education\n\n\n\nA Virtual Panel Discussion\n\n\n\nInaugural Event of theData-Intensive Social Science Speaker Series\n\n\n\n\n\n\n\nRegister Now \n\n\n\nThursday\, February 16th\, 2023\n\n\n\n2:00pm–3:30pm\n\n\n\nHopkins affiliates\, Open to the PublicJenna FryeJared KaplanThomas LippincottChristian TerwieschPeter LawsonTinglong Dai*The paragraph below was written by an AI tool and does not necessarily reflect—or include—all topics that will be covered in the discussion. Please read on for an event description composed by a human. \n\n\n\nJoin us for a thought-provoking panel discussion on the future of higher education and the implications of ChatGPT. Our expert speakers will take a critical look at the potential consequences and ethical conditions of using this powerful tool in academia.From data collection and analysis to the impact on society\, this panel will explore the complex issues surrounding the integration of ChatGPT in higher education.Don’t miss this opportunity to engage in a meaning dialogue and gain a deeper understanding of the future of academia. Register* now for the “ChatGPT and the Future of Higher Education” panel discussion and be a part of shaping the responsible use of technology in higher education.*   Data ServicesOver the past year\, consumer-facing apps such as ChatGPT\, Open AI’s Dall-e-2\, and DeepAI have exploded in popularity.For the first time in history\, generative AI is widely accessible (and in many cases\, free) to the general public. \n\n\n\nIn mere seconds\, anyone can generate original eye-catching artwork and complex prose for seemingly unlimited use-cases; imagery for a multi-thousand-dollar branding campaign\, a slick avatar for social media\, a viral new meme\, or even a multi-page term paper\, are now just clicks away. (But be aware: TurnItIn is deploying its own AI solution to detecting AI-generated classwork submissions\, so maybe leave the AI out of the term paper). \n\n\n\nWhile public eagerness to embrace these particular use-cases of AI signifies a considerable boon for software developers and the tech sector at-large\, many individuals are left with questions\, skepticism\, and criticisms\, such as: \n\n\n\nWhat will become of the former tried-and-true “analog” solutions to meeting the world’s creative needs? \n\n\n\nHow do we reconcile cost-saving and effortless creation\, with the fact that the world is full of graphic designers\, illustrators\, and copywriters\, as well as students of these disciplines dedicated to their craft? \n\n\n\nHow do we address the argument that we’re outsourcing something as central—and until very recently\, specific—to the human experience as the process of creating written and visual work? \n\n\n\nWho is the legal owner and originator of assets produced by way of AI? \n\n\n\nHow will plagiarism and intellectual property disputes be resolved?And\, possibly\, most importantly: \n\n\n\nWhat other broader implications of consumer-facing AI are still beyond the current horizons of our imagination? \n\n\n\nIn partnership with two of its governing schools within Johns Hopkins University—Sheridan Libraries’ Data Services and Carey Business School—IDIES (Institute for Data-Intensive Engineering and Science) is thrilled to announce the first of several speaker events in their new Data-Intensive Social Science Speaker Series. \n\n\n\nJoin us as we explore these questions and more from the perspectives of leading AI experts\, professors\, and creatives in this virtual panel event. Read on to learn more about our panel experts\, their backgrounds\, and their relationship with AI.This event is inspired by the annual LoveDataWeek\, taking place this year from February 13-17th.Learn more about this international series of events designed to promote the love of data science from its host\, the Inter-university Consortium for Political and Social Research (ICPSR). \n\n\n\nMore LoveDataWeek events hosted by Johns Hopkins Sheridan Libraries–Data Services »\n\n\n\n\n\n\n\n  \n\n\n\nMeet Our AI Experts\n\n\n\n(Panelists & Speakers)\n\n\n\nJenna Frye\n\n\n\nAffiliations\n\n\n\nFaculty\, Center for Leadership Education\, Johns Hopkins University \n\n\n\nFaculty Page\n\n\n\n\n\n\n\n  \n\n\n\nProfessional Bio\n\n\n\nJenna Frye has been a leader in art and design education for nearly 20 years. Jenna recently joined the faculty of the Multidisciplinary Design program at Johns Hopkins University where she explores the problem-solving potential of mixing Art/Design with Engineering.Jenna’s creative work and ideas about education have been showcased nationally and at several annual conferences including the National Association of Schools of Art and Design\, The Association of Independent Colleges of Art and Design\, and The College Art Association. Frye holds a Bachelor of Science in Psychology as well as an MA in Digital Art and an MFA in Sculpture. \n\n\n\nJared Kaplan\n\n\n\nAffiliations\n\n\n\nCo-founder\, Anthropic; Associate Professor\, Department of Physics & Astronomy\, Johns Hopkins University \n\n\n\nFaculty Page\n\n\n\n\n\n\n\n  \n\n\n\nProfessional Bio\n\n\n\nJared Kaplan is a theoretical physicist\, computer scientist\, and AI entrepreneur. He holds a B.S. in Physics and Mathematics from Stanford University\, a Ph.D. in Physics from Harvard University\, and has completed postdoctoral fellowships at SLAC and Stanford. He has been a professor of physics at Johns Hopkins University since 2012\, where his research spans a diverse range of fields\, including cosmology\, particle physics\, dark matter\, and quantum gravity. His work has been recognized with prestigious awards and grants\, including a Sloan Foundation Fellowship\, an NSF CAREER grant\, and he is a principal investigator of the Collaboration on the Nonperturbative Bootstrap at the Simons Foundation. In addition to his academic achievements\, Dr. Kaplan is also a co-founder of Anthropic\, an AI safety and research company responsible for developing “Claude\,” a cutting-edge AI language model rivaling ChatGPT. \n\n\n\nThomas Lippincott\n\n\n\nAffiliations\n\n\n\nDirector of Digital Humanities and Assistant Research Professor\, Johns Hopkins University \n\n\n\nFaculty Page\n\n\n\n\n\n\n\n  \n\n\n\nProfessional Bio\n\n\n\nTom Lippincott is the Director of Digital Humanities and a Research Assistant Professor at Johns Hopkins University\, with a primary appointment in the Alexander Grass Humanities Institute and secondary appointments in the Department of Computer Science\, where he is affiliated with the Center for Language and Speech Processing and the Human Language Technology Center of Excellence.Tom’s research focuses on how machine learning\, particularly deep neural architectures\, can support\, inform\, and guide scholarship in humanistic fields such as literature\, history\, and archaeology.Tom holds a Ph.D. in computational linguistics from the University of Cambridge\, an M.S. in computer science from Columbia University\, and a B.A. in philosophy and computer science from the University of Chicago. \n\n\n\nChristian Terwiesch\n\n\n\nAffiliations\n\n\n\nAndrew M. Heller Professor at the Wharton School; Professor of Operations\, Information and Decisions; Professor of Health Policy\, Perelman School of Medicine; Co-Director\, Mack Institute of Innovation Management \n\n\n\nFaculty Page\n\n\n\n\n\n\n\n  \n\n\n\nProfessional Bio\n\n\n\nChristian Terwiesch is a prominent expert in operations and innovation management. He is the Andrew M. Heller Professor at the Wharton School of the University of Pennsylvania\, where he chairs the Operations\, Information\, and Decisions Department and co-directs Penn’s Mack Institute for Innovation Management. His research has been published in leading academic journals ranging from Management Science to New England Journal of Medicine. He is an award-winning educator with extensive experience in MBA teaching and executive education.He co-authored the widely used MBA textbook “Matching Supply with Demand” and launched the first massive open online course (MOOC) in business on Coursera\, which has enrolled over half a million students. In addition to his academic achievements\, Professor Terwiesch has extensive experience working with organizations of all sizes\, from small startups to Fortune 500 companies.Recently\, Professor Terwiesch conducted research on the performance of ChatGPT in the context of MBA education. He found that ChatGPT was able to pass the final exam for the MBA program at the University of Pennsylvania’s Wharton School\, scoring between a B- and a B. The results of this research highlight the remarkable ability of AI systems to automate some of the skills of highly compensated knowledge workers in various fields. \n\n\n\nMeet Our MODERATORS\n\n\n\nTinglong Dai\n\n\n\n\n\n\n\n  \n\n\n\nAffiliations\n\n\n\nProfessor of Operations Management\, Business Analytics\, Marketing\, and Health\, Johns Hopkins University \n\n\n\nFaculty Page\n\n\n\nPeter Lawson\n\n\n\n\n\n\n\n  \n\n\n\nAffiliations\n\n\n\nLibrarian for Data and Visualization\, Sheridan Libraries – Data Services\, Johns Hopkins University \n\n\n\nWeb Page
URL:https://www.idies.jhu.edu/event/chatgpt-ai-and-the-future-of-higher-education/
LOCATION:Zoom
CATEGORIES:Panel
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221020T090000
DTEND;TZID=America/New_York:20221020T170000
DTSTAMP:20260502T130027
CREATED:20220927T185623Z
LAST-MODIFIED:20230816T204307Z
UID:12716-1666256400-1666285200@www.idies.jhu.edu
SUMMARY:2022 IDIES Annual Symposium
DESCRIPTION:Join us—the Institute for Data-Intensive Science and Engineering (IDIES)—for our 2022 annual symposium on Thursday\, October 20th! We’re excited to announce that this year’s event is returning to an in-person format at the West Reading Room of the Johns Hopkins Welch Medical Library\, located on the East Baltimore medical campus. Registration* is required in order to attend.\n\nThe IDIES annual symposium aims to bring together experts in the theoretical foundations\, development\, and application of data intensive technologies and analysis to share discoveries\, practical ideas\, and insights as they relate to big data research.\n\nIn our effort to promote interdisciplinary collaborations\, we invite anyone—from our JHU affiliates\, to governmental agencies\, local organizations\, non-profits\, and beyond—with an interest in data science and big data\, especially as they pertain to one’s current or prospective research\, to attend this symposium.\n\nTo learn more about IDIES and our resources\, or to register to attend the symposium\, please be sure to visit our website at idies.jhu.edu.\n\nIn addition to a catered lunch\, snacks\, and closing cocktail reception\, this year’s symposium will include:\n\n▷Keynote Speakers Dr. Stephanie Hicks\, Associate Professor\, Department of Biostatistics\, Johns Hopkins Bloomberg School of Public Health; and Dr. Susan Mullally Deputy Project Scientist for the James Webb Space Telescope at the Space Telescope Science Institute.\n\n▷Plenary speakers highlighting exciting data science break-throughs and applications\n\n▷IDIES Seed Award updates & the presentation of  ARCH’s (Advanced Research Computing at Hopkins\, formerly Maryland Advanced Research Computing Center\, MARCC) Robbins Prize in High-performance Computing\n\n▷Juried Poster Session\n\n*Registration will close at 5:00p.m. on Monday\, October 17th.
URL:https://www.idies.jhu.edu/event/2022-idies-annual-symposium/
LOCATION:West Reading Room\, Welch Library (JHU East Medical Campus)\, 1900 E Monument St.\, Baltimore\, MD\, United States
CATEGORIES:Symposium
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