Neighborhood Information Systems training

Posted by on February 4, 2005

“Do you need detailed information about a specific property in your neighborhood? Are you looking for data to help write grants? Are you looking for Philadelphia crime data? Ever wanted to view Philadelphia social indicator and property data on a quick, detailed, and interactive website? If you answered yes to any of the above questions you should attend a free 1 1/2 hour-long training at the University of Pennsylvania about the Philadelphia Neighborhood Information System.

If you would like to register for either training please e-mail nishelp@ssw.upenn.edu and include your name, organization, contact information, and your preferred training date.

The NIS is designed to help community-based organizations, government agencies, researchers and concerned individuals in their efforts to analyze, transform and revitalize Philadelphianeighborhoods. You can learn more about and preview NISat our website http://www.cml.upenn.edu/nis.

The Cartographic Modeling Lab will be holding five trainings on the Neighborhood Information System. There is no cost for the training, however space is limited so pre-registration is required. The interactive introductory training is designed for new users. The trainings will provide an overview of the system and will cover the system’s basic applications. The trainings will be held on the following dates:

Introductory Trainings

March 2, 2005 2:30 pm to 4:00 pm
March 23, 2005 2:30 to 4:00
April 15, 2005 2:00 to 3:30
April 22, 2005 2:00 to 3:30

If you would like to register for either training please e-mail nishelp@ssw.upenn.edu and include your name, organization, contact information, and your preferred training date. E-mail is the best way to register for the training as it ensures that we get your message directly. We hope to see you in one of our upcoming trainings. If you know someone who would benefit from this training, please forward this message to that person. Thanks!”

Kathleen Grady
Cartographic Modeling Lab