Disaster Relief Mapathon at UM Libraries | How You Can Help


September 29, 2017 | 2-5 p.m. | Information Literacy Lab | Otto G. Richter Library, 3rd floor
University of Miami | 1300 Memorial Drive | Coral Gables, 33146

The University of Miami Libraries are continually looking for ways to provide any kind of disaster relief assistance to our neighbors in Puerto Rico and Mexico. Along with Columbia University, Rutgers University, Boston University, and Trinity College, UML will host an event using the OpenStreetMap platform to help provide the Red Cross and other emergency first responders with data needed for disaster response in Puerto Rico and Mexico.

How You Can Help

Contribute your time to open-source mapping and help trace buildings and missing roads to support relief organizations in damage assessment and needs for support. These very basic tasks are easy to learn and training will be provided at the beginning of the event.

RSVP to p.morgan@miami.edu

What You Need to Know

No mapping experience or knowledge of local geography is necessary. Limited laptops will be available so please bring your own device if possible.

Save time by creating a free account on OpenStreetMap prior to the event:
https://www.openstreetmap.org/user/new

While it’s not required that you stay for the full length of the event, we suggest that you contribute at least one hour of your time.

This event is organized by Paige Morgan from the UM Libraries Digital Scholarship Group in collaboration with Alex Gil at Columbia University.

 

About the UM Libraries Digital Scholarship Group

The Digital Scholarship Group, which includes GIS Resources, Digital Humanities, Data Services, and Data Management, focuses on helping users find, manage, interpret, and publish data. As part of the UM Learning Commons at the Otto G. Richter Library, the Digital Scholarship Group is available to help you learn specialized software and tools and develop your knowledge of GIS, digital humanities, qualitative methods, and statistics.



UM Libraries Embark on an Innovative Partnership

Mitsunori Ogihara Named Associate Dean for Digital Library Innovation
January 5, 2012
Coral Gables, Florida

The University of Miami’s College of Arts and Sciences and the University Libraries announce that Dr. Mitsunori Ogihara has been named Associate Dean for Digital Library Innovation, effective January 1, 2012. He will hold joint appointments in the Center for Computational Science and the College. Also, under an innovative and unique partnership to more closely align library and College of Arts and Sciences digital programs, the Libraries will contract a percentage of Dr. Ogihara’s time to lead the UM Virtual Library Program, especially in the digital humanities.

“We are very happy to have Mitsu Ogihara lead the University’s Virtual Library Program. As a computer scientist, he is the perfect match for this integrated position. And as a faculty member of the College, his appointment creates a stronger alliance between Arts and Sciences and the Library. I am excited about the new opportunities for scholarship that this program will provide to our UM community. I wish him well in this new position, and I am confident his faculty colleagues will welcome his endeavors in finding new digital avenues and resources to support their both research and teaching,” said Leonidas Bachas, Dean of the College of Arts and Sciences.

“The Library’s future collection, workspaces, and scholarly tools are rapidly becoming digital,” said William Walker, dean and university librarian. “In the Libraries, we are very excited that Mitsu Ogihara is joining our team to guide and advance the University’s Virtual Library Program. I know of no better partner than Mitsu to help us unite library and academic resources to advance scholarly communication at UM.”

Professor Ogihara is Director of Data Mining in UM’s Center for Computational Science. Dr. Ogihara received his Ph.D. in Information Science from the Tokyo Institute of Technology (Japan). Prior to joining the University of Miami, Professor Ogihara headed the Computer Science department at the University of Rochester for eight years. He has published extensively in the areas of complexity theory and data mining; his most recent book “Music Data Mining” was published by CRC in 2011.

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