CCS holds four major annual events:
- Big Data Conference & Workshop
- Data Intersections: Data Journalism, Data Science and Digital Humanities
- Smart Cities Miami Conference
- VizUM annual Symposium
This year’s Conference theme is transportation, social artificial intelligence, and privacy. The Conference will also feature the launch of the inaugural Smart Cities Miami Competition: Design Your Coral Gables.
This workshop is designed to provide a foundation of basic concepts that all programming depends on, using Python as an example. Free to UM Faculty/Staff/Students.
This workshop introduces participants to techniques for cleaning and transforming data with OpenRefine and Microsoft Excel.
Each year, the Big Data Panelists are a cross-section of leaders at the top of their fields. Stay tuned for the announcement of this year’s Panelists and Keynote Speaker . . .
Save the dates: Thursday and Friday, January 24-25, 2019 for the 3rd annual Smart Cities MIAMI Conference. This year’s theme is Transportation and Infrastructure.
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Recently Held Events
CCS presents a Lunch & Learn on Docker and Ansible. Attendance is limited to 25—you must RSVP if you plan to attend.
Free to UM Faculty/Staff/Students, this 2-day workshop will provide you with the basic computing skills and best practices needed to be productive in a small research team.
GIS day events take place around the globe on 11/14/2018 but UM will be celebrating on 11/13.
Our trained instructors will lead you through a comprehensive, hands-on overview of an introductory data analysis using Python.
VizUM 2018 has been scheduled for Thursday, November 15, 2018, 4:00-7:00 PM. The VizUM Visualization Competition finalists’ projects will be presented.
This event is an opportunity for graduate (and undergraduate) students across campuses to connect, share their research, and network with each other and with invited faculty.
CCS invites you to learn about this year’s CCS Fellows’ projects, network with researchers across UM’s Schools and Colleges, learn more about the program, and enjoy refreshments! This event is open to UM Faculty/Staff/Students.
The Big Data in Health Conference was held at Salerno (Italy) on June 6-8, 2018. The event was organized by Enrico Capobianco, from UMCCS’ Computational Biology & Bioinformatics program, in collaboration with the Universities of Salerno, Perugia, Roma (Cattolica), and was co-sponsored by Roche Pharma Italy. Follow up publications will appear in Frontiers in Medicine and […]
Dean el-Khoury reported in from the inaugural WIEE World Innovation and Entrepreneurship Expo 2018 in Shanghai, where UM School of Architecture was billed as a “founding partner”.
Join our new recurring computational methods journal club, where CCS Student Mentors will be presenting both seminal and cutting-edge papers on computational methods for the analysis of biomedical, marine, biological, social, etc., data.
Checkpoint #2, the “Analysis & Prototype Checkpoint”, will give you the opportunity to get feedback on your project from the Organizing Committee.
The Odd Pairings symposium for graduate and undergraduate students is designed as a deep dive into interdisciplinary pairings between a number of disciplines and computational science.
Join us on Thursday, April 26, 2018, 3:00-5:00 PM at the Abess Center (Ungar 230C-D) for the 2017-2018 CCS Fellows’ concluding project presentations.
The mission of the Spatial+ Data Visualization Group is to provide GIS and Visualization professionals, educators, enthusiasts, and other users with opportunities to exchange information and ideas, share best practices, and stay up to date with the latest tools, approaches, and more.
The conference, presented this year by Hotwire Communications, explored the convergence of technology, design, and development in the shaping of a new urban landscape transformed by design innovation and disruptive technology.
Monday, March 19, 2018 | 12:00-1:00 PM McArthur Engineering Annex, MEA 202 Speaker: Athina Hadjixenofontos, PhD | CCS Director of Engagement In this session, we will examine the opportunities for decision making while building a data analysis pipeline and follow the consequences of those decisions for the interpretability of the results. In addition, we will […]