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Showing posts with the label big data

2025-01-06: 9th Computational Archival Science Workshop Trip Report

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The 9th Computational Archival Science Workshop took place in Washington, DC in December, 2024   The 9th Computational Archival Science Workshop , a part of the IEEE Big Data conference, took place on December 17, 2024 in Washington, DC. The hybrid workshop featured publications from students and professors at information science departments, computer science departments, libraries, and business departments. The topics all focused on integrating artificial intelligence with archives, and the presentations and discussions also prominently featured ethics as well. The workshop included 18 papers from 21 institutions. Session 1: Trends in Computational Archival Science To start the workshop, Jennifer Proctor presented her work, " A Computational Review of the Literature of Computational Archival Science (CAS): Advancing Archival Theory in the Age of the Digital Tsunami and the Vanishing Box Problem ." She analyzed all of the previous Computational Archival Science workshop publ...

2018-12-14: New Insight to Big Data: Trip to IEEE Big Data 2018

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The IEEE Big Data 2018 was held in the Westin Seattle Hotel between December 10 and December 13, 2018. There are more than 1100 people registered. The accepting rates vary between 13% to 24%, with an average rate of 19%. I have a poster accepted titled “CiteSeerX-2018: A Cleansed Multidisciplinary Scholarly Big Dataset”, co-authored with C. Lee Giles , two of his graduate students ( Bharath and Shaurya ), as well as an undergraduate student who produced preliminary results ( Jianyu Mao ). I attended the conference on Day 2 and Day 3 and left the conference hotel after the keynote on Day 3. Insights from Personal Meetings The most important thing to attend conferences is to meet with old friends and know new friends. Old friends I met include Kyle Williams (Microsoft Bing), Mu Qiao (IBM, chair of I&G track), Yang Song (Google AI, co-chair of I&G track), Manlin Li (Google Cloud), and Madian Khabsa (Apple Siri).  Kyle introduced the recent project on rec...

2016-06-23: Joint Conference on Digital Libraries (JCDL) 2016 Trip Report

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Good morning Newark! Beautiful start for the doctoral consortium and tutorials at #jcdl2016 pic.twitter.com/kEBdJtvIho — Michele Weigle (@weiglemc) June 19, 2016 The ACM/IEEE-CS Joint Conference on Digital Libraries ( JCDL ) is a major international conference that offers the opportunity to address technical, practical, and social issues associated with digital libraries. This annual conference was held at the Paul Robeson Campus Center, Rutgers University Newark, New Jersey, between June 19-23, 2016. Here is a list of the accepted papers  and posters/demos . The theme for this year's conference was Big Libraries, Big Data, Big Innovation. Computer/Information scientists, Librarians, Archivists, Social scientists, Historians and other participants from around the world and other disciples involved in digital library research and practice presented papers and posters, specialized workshops ( see Mat's blog post about the WADL workshop ), tuto...