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X-WR-CALNAME:Columbia Entrepreneurship
X-ORIGINAL-URL:https://entrepreneurship.columbia.edu
X-WR-CALDESC:Events for Columbia Entrepreneurship
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DTSTART:20170101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20180913T160000
DTEND;TZID=UTC:20180913T180000
DTSTAMP:20260505T160458
CREATED:20180907T143116Z
LAST-MODIFIED:20180910T155032Z
UID:14378-1536854400-1536861600@entrepreneurship.columbia.edu
SUMMARY:C++: An Invisible Foundation
DESCRIPTION:OPEN TO ALL\n\n\nREGISTER HERE\n\n\nThursday\, September 13th\, 2018\n4:00 p.m. – 5:00 p.m. Lecture\n5:00 p.m. – 6:00 p.m. Reception\nBrown Institute | 2nd Floor\, Pulitzer Hall (2950 Broadway)\n\n\n\nC++ is one of the key foundations of our software. It is invisible to most people because they use it only indirectly. It’s in your computer and your phone. It’s in the machines that manufacture\, your computer\, and your phone. It’s in most cars\, including all the self-driving ones. It’s on Mars\, and in deep sea-robots. It’s what runs your Java virtual machine and your Python AI/ML scripts.\n\nIn this Distinguished Lecture\, Dr. Stroustrup will briefly explain what technical aspects of C++ makes it so useful. He will focus on design principles\, but also touch upon resource management and what it takes to be efficient in various contexts. Finally\, he will comment on the challenges facing the C++ community.\n\nAbout Bjarne Stroustrup\n\nDr. Bjarne Stroustrup is the designer and original implementer of C++ as well as the author of The C++ Programming Language (Fourth Edition)\, A Tour of C++\, Programming: Principles and Practice using C++ (Second Edition)\, and many popular and academic publications. Dr. Stroustrup is a Managing Director in the technology division of Morgan Stanley in New York City as well as a visiting professor in Columbia University’s Department of Computer Science. He is a member of the U.S. National Academy of Engineering\, and an IEEE\, ACM\, and CHM fellow. He received the 2018 Charles Stark Draper Prize\, the IEEE Computer Society’s 2018 Computer Pioneer Award\, and the 2017 IET Faraday Medal. His research interests include distributed systems\, design\, programming techniques\, software development tools\, and programming languages. He is actively involved in the ISO standardization of C++. He holds a master’s degree in mathematics from Aarhus University\, where he is an honorary professor\, and a Ph.D. in computer science from the University of Cambridge\, where he is an honorary fellow of Churchill College.\n\nThe Distinguished Lectures in Computational Innovation series highlights programmers\, data scientists\, and other practitioners from the private sector who lead cutting-edge technology initiatives such as Python\, C++\, and the Open Source Initiative. The events include a presentation\, question & answer session\, and post-event networking reception.\n\nAll Columbia University students\, faculty\, postdocs\, and administrators are welcome to register for and attend these events.
URL:https://entrepreneurship.columbia.edu/event/c-invisible-foundation/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20180914T130000
DTEND;TZID=UTC:20180914T143000
DTSTAMP:20260505T160458
CREATED:20180907T142911Z
LAST-MODIFIED:20180913T182821Z
UID:14376-1536930000-1536935400@entrepreneurship.columbia.edu
SUMMARY:Data for Good (or Scary AI and Other Dangers of Big Data)
DESCRIPTION:OPEN TO ALL \nRSVP HERE \n  \nFriday\, September 14\, 2018\nLocation: Pupin 428\n1:00PM – 2:30PM\n\n\nAbstract: In our data-rich world\, we in the technology community have a responsibility to ensure that we use data for good. In this talk\, under the acronym FATES\, I will focus on these aspects of the responsible use of data: fairness\, accountability\, transparency\, ethics\, safety and security. I will give examples of how data-hungry AI-based systems can lead to harmful decisions and even fatal errors. But I will also give examples of new techniques we can use to reduce some of these bad effects. Above all\, we need to work with ethicists\, social scientists\, and humanists to build systems with FATES in mind as we design our technology not after we deploy it. \n  \nBio: Biography: Jeannette M. Wing is Avanessians Director of the Data Science Institute and Professor of Computer Science at Columbia University. From 2013 to 2017\, she was a Corporate Vice President of Microsoft Research. She is Consulting Professor of Computer Science at Carnegie Mellon where she twice served as the Head of the Computer Science Department and had been on the faculty since 1985. From 2007-2010 she was the Assistant Director of the Computer and Information Science and Engineering Directorate at the National Science Foundation. She received her S.B.\, S.M.\, and Ph.D. degrees in Computer Science\, all from the Massachusetts Institute of Technology. \nProfessor Wing’s general research interests are in the areas of trustworthy computing\, specification and verification\, concurrent and distributed systems\, programming languages\, and software engineering. Her current interests are in the foundations of security and privacy\, with a new focus on trustworthy AI. She was or is on the editorial board of twelve journals\, including the Journal of the ACM and Communications of the ACM. \nShe is currently a member of: the National Library of Medicine Blue Ribbon Panel\, the Science\, Engineering\, and Technology Advisory Committee for the American Academy for Arts and Sciences; the Board of Trustees for the Institute of Pure and Applied Mathematics; the Advisory Board for the Association for Women in Mathematics; and the Alibaba DAMO Technical Advisory Board. She has been chair and/or a member of many other academic\, government\, and industry advisory boards. She received the CRA Distinguished Service Award in 2011 and the ACM Distinguished Service Award in 2014. She is a Fellow of the American Academy of Arts and Sciences\, American Association for the Advancement of Science\, the Association for Computing Machinery (ACM)\, and the Institute of Electrical and Electronic Engineers (IEEE).
URL:https://entrepreneurship.columbia.edu/event/data-good-scary-ai-dangers-big-data/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20180926T170000
DTEND;TZID=UTC:20180926T183000
DTSTAMP:20260505T160458
CREATED:20180907T143344Z
LAST-MODIFIED:20180907T143344Z
UID:14380-1537981200-1537986600@entrepreneurship.columbia.edu
SUMMARY:Cross-device User Clustering at Adobe
DESCRIPTION:OPEN TO ALL\n\nREGISTER HERE\n\nWednesday\, September 26\, 2018\n5:00PM – 6:30PM\nSchapiro CEPSR\, Davis Auditorium (412)\n \nABSTRACT: As people now engage with digital properties using a myriad of devices such as laptops\, smart phones\, tablets\, connected TVs and gaming consoles\, the traditional cookie-based or device-level views of online user interaction are too narrow. Even when using a single device\, a person may be assigned multiple IDs due to cookie churn or the use of different browsers. Marketers are looking through a fragmented lens and are spending their marketing dollars without understanding more than a fractional part of consumer interactions.\n\n\nThis talk will give an overview of how Adobe is tackling this problem using graph processing techniques\, going over our journey from the initial research ideas to a fully productized product that works at scale running in the cloud while respecting user privacy. Focus will be on our open-source technology stack\, including Apache Spark\, GraphX\, OpenTSDB\, … along with a description of our algorithms and the challenges we went through to run them at very large scale on Amazon Web Services.\n\nBio: Charles is a data engineer/scientist at Adobe\, where he has been involved on many projects revolving around big data\, infrastructure and data science. Passionate about data\, Charles is constantly on the lookout for the newest technologies and applications related to data science at scale. After graduating with a Master’s degree in Computer Science and Artificial Intelligence from EPITA\, France\, in 2010\, Charles has since focused his career on the online advertising industry\, working at an ad network\, a Demand-Side Platform\, and currently Adobe’s Data Management Platform.
URL:https://entrepreneurship.columbia.edu/event/cross-device-user-clustering-adobe/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20180928T100000
DTEND;TZID=UTC:20180928T113000
DTSTAMP:20260505T160458
CREATED:20180907T143615Z
LAST-MODIFIED:20180927T170225Z
UID:14382-1538128800-1538134200@entrepreneurship.columbia.edu
SUMMARY:Data Science Institute | Annual Town Hall | 2018
DESCRIPTION:OPEN TO ALL\n\nREGISTER HERE\n\nFriday\, September 28\, 2018\n10:00AM – 11:30AM\n** NOTE NEW LOCATION: Maison Francaise | East Gallery | Buelle Hall**\n\nThe Data Science Institute of Columbia University’s mission is to advance the state-of-the-art in data science; to transform all fields\, professions\, and sectors through the application of data science; and to ensure the responsible use of data for the benefit of society.\n\nThe Institute invites the Columbia Community to join us at our annual Town Hall to hear about recent highlights and to discover existing and emerging opportunities for engagement with the Institute.
URL:https://entrepreneurship.columbia.edu/event/data-science-institute-annual-town-hall-2018/
CATEGORIES:Columbia Data Science Institute
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