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SUMMARY:News Product Sprint
DESCRIPTION:Join the Brown Institute for a unique opportunity to learn about the latest trends in news product development! Our two-weekend event\, taking place on February 25-26 and March 1\, is led by industry leaders Dalit Shalom\, Lead Product Designer at the New York Times\, and Julia Beizer\, Chief Digital Officer at Bloomberg Media. \nThis news product sprint is open to journalism\, data science\, and computer science students\, and will provide hands-on training in the creation of innovative news products. Through interactive lectures and lab sessions\, you will learn about the key concepts and practices of product development\, design\, engineering\, and business. Over the course of two weekends (3-days)\, you will work in teams to iterate\, prototype\, and pitch products that engage and retain audiences and tell stories in new ways! \nThe Brown Institute’s mission is to push the boundaries of storytelling\, and this event is a perfect opportunity to do just that. By participating\, you’ll have the chance to work in teams to develop ideas that can be proposed to both the Magic Grant program and the Brown Institute Venture Competition\, to funding opportunities provided by the institute. The Magic Grant program provides funding to teams in amounts ranging from $10k – $150k to pursue project work over the course of the year. And the Venture Competition provides small seed awards and automatic entry into a paid summer fellowship hosted by the institute to provide students with the resources needed to bring products to life. Apply now and be part of a unique learning experience! \nDates of the Program: \nSaturday\, February 25 (10am-4pm)\nSunday\, February 26 (10am-4pm)\nWednesday\, March 1 (6pm-9pm) \nTo attend\, you must be able to commit to the entire duration of the program. \nApply to Attend \n 
URL:https://brown.stanford.edu/event/news-product-sprint-2/
LOCATION:Columbia University
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230309T120000
DTEND;TZID=America/New_York:20230309T133000
DTSTAMP:20260525T193341
CREATED:20230228T140025Z
LAST-MODIFIED:20230228T141948Z
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SUMMARY:Lectures in Data Visualization: Cindy Xiong\, UMass Amherst
DESCRIPTION:Designs to Support Better Visual Data Communication\nCindy Xiong\, UMass Amherst\n \nWell-chosen data visualizations can lead to powerful and intuitive processing by a viewer\, both for visual analytics and data storytelling. When badly chosen\, visualizations leave important patterns opaque or misunderstood. So how can we design an effective visualization? I will share several empirical studies demonstrating that visualization design can influence viewer perception and interpretation of data\, referencing methods and insights from cognitive psychology. I leverage these study results to design natural language interfaces that recommend the most effective visualization to answer user queries and help them extract the ‘right’ message from data. I then identify two challenges in developing such an interface. First\, human perception and interpretation of visualizations is riddled with biases\, so we need to understand how people extract information from data. Second\, natural language queries describing takeaways from visualizations can be ambiguous and thus difficult to interpret and model\, so we need to investigate how people use natural language to describe a specific message. I will discuss ongoing and future efforts to address these challenges\, providing concrete guidelines for visualization tools that help people more effectively explore and communicate data. \nRegister to Attend \nAbout the Lecture Series\nThe Brown Institute at Columbia Journalism School\, in partnership with the Data Science Institute and the Department of Computer Science\, is excited to present a lecture series that delves into the art and science of data visualization. This dynamic interdisciplinary series will explore the ways in which technology is transforming how we encounter\, comprehend\, and create data-driven narratives. The series will take place every other Thursday over the lunch hour from March to May\, and will feature esteemed experts in these fields. Over the course of a few months\, we will explore the profound impact that the tools and techniques utilized in data visualization have on the stories we can tell. \nThe series will include five lectures\, led by renowned experts including Cindy Xiong\, Dom Moritz\, Arvind Satyanarayan\, Jen Christiansen\, and Gurman Bhatia. The topics to be covered in the series are diverse and thought-provoking\, encompassing the role of ML in data visualization\, the design process for best representing the stories behind the data\, the future of interactive visualization\, and the very role tools play in our approaches to graphics. Whether you’re a data scientist\, a journalist\, a technologist\, a storyteller\, or a combination thereof\, this series will explore a practice that spans all disciplines. Join us as we hear from these experts and engage in interactive discussions exploring the latest advancements in data visualization and technology. \nJoin us for a lecture followed by a small reception\, all held in the Brown Institute for Media Innovation on the entry floor of Pulitzer Hall (Journalism School). Registration required. \nAbout the Speaker \n \nCindy Xiong is an Assistant Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst. She received her Ph.D. in Cognitive Psychology and her MS in Statistics from Northwestern University. Her research at the intersection of human perception\, cognition\, and data visualization has received awards at premier venues in psychology and computer science\, including ACM CHI\, Psychonomics\, IEEE VIS\, and IEEE VGTC. She is also one of the founding leaders of VISxVISION (visxvision.com)\, an initiative dedicated to increasing collaboration between visualization researchers and perceptual + cognitive psychologists.
URL:https://brown.stanford.edu/event/lectures-in-data-visualization-cindy-xiong-umass-amherst/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Lectures in Data Visualization
ATTACH;FMTTYPE=image/jpeg:https://brown.stanford.edu/wp-content/uploads/2023/03/Artboard-1-copy-12-100.jpg
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230323T120000
DTEND;TZID=America/New_York:20230323T133000
DTSTAMP:20260525T193341
CREATED:20230228T140017Z
LAST-MODIFIED:20230320T182154Z
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SUMMARY:Lectures in Data Visualization: Dominik Moritz\, Carnegie Mellon University
DESCRIPTION:The future of Data Science is Live and in the Browser \nData science is a constantly evolving field\, and as such\, it is important to continually explore new ideas for improving the tools we use. In this talk\, I will talk about two ideas that may change how and where we build these tools. \nFirst\, I will argue that data science should be interactive and live\, with no wait time for changing filters or updating parameters. Slow analysis has been shown to have disadvantages and even dangers\, yet few tools have been able to provide both a seamless user experience and the necessary performance. We will explore how web developers have already achieved this level of interactivity and demonstrate how the same experience should be and can be delivered to data workers. \nSecond\, we will examine how the browser is already how that data scientists access many tools\, such as Jupyter and ChatGPT. However\, delays caused by network connections create new challenges for tool builders. We will explore the opportunities that new technologies like WebAssembly\, WebGPU\, and Apache Arrow offer for analysis and machine learning completely in the browser. \nRegister to Attend \n\nThe Brown Institute at Columbia Journalism School\, in partnership with the Data Science Institute and the Department of Computer Science\, is excited to present a lecture series that delves into the art and science of data visualization. This dynamic interdisciplinary series will explore the ways in which technology is transforming how we encounter\, comprehend\, and create data-driven narratives. The series will take place every other Thursday over the lunch hour from March to May\, and will feature esteemed experts in these fields. Over the course of a few months\, we will explore the profound impact that the tools and techniques utilized in data visualization have on the stories we can tell. \nThe series will include five lectures\, led by renowned experts including Cindy Xiong\, Dom Moritz\, Arvind Satyanarayan\, Jen Christiansen\, and Gurman Bhatia. The topics to be covered in the series are diverse and thought-provoking\, encompassing the role of ML in data visualization\, the design process for best representing the stories behind the data\, the future of interactive visualization\, and the very role tools play in our approaches to graphics. Whether you’re a data scientist\, a journalist\, a technologist\, a storyteller\, or a combination thereof\, this series will explore a practice that spans all disciplines. Join us as we hear from these experts and engage in interactive discussions exploring the latest advancements in data visualization and technology. \n  \nJoin us for a lecture followed by a small reception\, all held in the Brown Institute for Media Innovation on the entry floor of Pulitzer Hall (Journalism School). Registration required. \nAbout the Speaker \n \nDominik Moritz is on the faculty at Carnegie Mellon University where he co-directs the Data Interaction Group (https://dig.cmu.edu/) at the Human-Computer Interaction Institute. His group’s research develops interactive systems that empower everyone to effectively analyze and communicate data. Dominik also manages the visualization team in Apple’s machine learning organization. His systems (Vega-Lite\, Falcon\, Draco\, Voyager\, and others) have won awards at academic venues (e.g. IEEE VIS and CHI)\, are widely used in industry\, and by the Python and JavaScript data science communities. Dominik got his PhD from the Paul G. Allen School at the University of Washington\, where he was advised by Jeff Heer and Bill Howe.
URL:https://brown.stanford.edu/event/dom-moritz/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Lectures in Data Visualization
ATTACH;FMTTYPE=image/jpeg:https://brown.stanford.edu/wp-content/uploads/2023/02/Artboard-1-copy-13-100.jpg
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230327T180000
DTEND;TZID=America/New_York:20230327T190000
DTSTAMP:20260525T193341
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SUMMARY:Matt Jones & Chris Wiggins Book Launch 'How Data Happened'\, featuring a Conversation with Julia Angwin
DESCRIPTION:Join us for a spirited conversation with renowned data journalist Julia Angwin as she discusses How Data Happened: A History from the Age of Reason to the Age of Algorithms with  Matt Jones and Chris Wiggins of Columbia.  The book expands on the popular course the authors created and have taught for the past several years at Columbia. Our students asked: How has data become such a pervasive and seemingly all-powerful force in our political and personal lives?  How Data Happens illuminates the ways\, going back centuries\, in which data has been used and continues to be used as a tool and a weapon in arguing for what is true\, as well as a means of rearranging or defending power.
URL:https://brown.stanford.edu/event/matt-jones-chris-wiggins-book-launch-how-data-happened-featuring-a-conversation-with-julia-angwin/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Receptions
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230330T110000
DTEND;TZID=America/New_York:20230330T123000
DTSTAMP:20260525T193341
CREATED:20230322T135228Z
LAST-MODIFIED:20230323T133659Z
UID:8301-1680174000-1680179400@brown.stanford.edu
SUMMARY:Supporting Communities through "Equitable Data" with Denice Ross\, US Chief Data Scientist
DESCRIPTION:The Brown Institute for Media Innovation is pleased to host a visit to Columbia University by the U.S. Chief Data Scientist Denice Ross and Deputy U.S. Chief Data Scientist Dominique Duval-Diop. In a lecture on March 30\, Ross and Duval-Diop will introduce the idea of “equitable data.” Through the Equitable Data Working Group\, they have been tasked to “identify inadequacies and areas of improvement within Federal data and outline a strategy for increasing data available for measuring equity and representing the diversity of the American people and their experiences” (from their report “A Vision for Equitable Data\,” in April 2022). \nJoin Ross and Duval-Diop as they discuss equitable data\, its relationship to open data\, and the opportunities for researchers and journalists. \nRegister to Attend \n\nAbout the Speaker\nDenice Ross serves as the U.S. Chief Data Scientist and leads the Biden-Harris Administration efforts on equitable data. Previously\, she led a multidisciplinary group of stakeholders to coordinate support for a high-quality census\, and co-authored the data series “Pandemic to Prosperity\,” with a special focus on Southern states and their path to an equitable recovery. Her experience in open government includes co-founding the White House Police Data Initiative to increase transparency and accountability in the Obama-Biden administration and establishing the City of New Orleans’ first open data initiative under Mayor Mitch Landrieu. Prior to government\, Denice co-directed a non-profit data intermediary\, tracking the city’s recovery from Katrina through the definitive New Orleans Index. She brought a data-driven approach to numerous post-Katrina community planning initiatives and co-founded the first new childcare center after the storm. Denice holds a Bachelor of Science from the University of Arizona and a masters degree in Energy Policy & Climate from Johns Hopkins University.
URL:https://brown.stanford.edu/event/denice-ross/
LOCATION:Lecture Hall\, Pulitzer Hall\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Lecture
ATTACH;FMTTYPE=image/jpeg:https://brown.stanford.edu/wp-content/uploads/2023/03/ross_denise.jpg
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
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