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X-WR-CALNAME:Lots to Love
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X-WR-CALDESC:Events for Lots to Love
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DTSTART;TZID=America/New_York:20170726T140000
DTEND;TZID=America/New_York:20170726T160000
DTSTAMP:20170614T214522Z
CREATED:20170614T214522Z
LAST-MODIFIED:20170614T214522Z
UID:6310-1501077600-1501084800@www.lotstolove.org
SUMMARY:Property Data Learning Circle
DESCRIPTION:Data about properties is incredibly valuable in developing neighborhood plans and redevelopment strategies. Data at the property level has also been used to target interventions and investments within a neighborhood. To build the capacity of neighborhood stakeholders\, The Western Pennsylvania Regional Data Center and the Carnegie Library of Pittsburgh are collaborating to offer a learning circle to provide hands-on training and support to people that want to use property data to understand more about their communities. We’ll be using Alan Mallach’s “Neighborhoods by Numbers\, an Introduction to Finding and Using Small Area Data” as a companion guide to the course. \nBy participating in the four-session learning circle\, participants will learn how to: \n tOrganize and conduct neighborhood property surveys\n tCreate tables and charts based on neighborhood statistics\n tMake sharable\, interactive property maps using open data\n tTie data to neighborhood redevelopment strategies and actions\n tTell stories about their neighborhood \nThere are no prerequisites to the course\, but it will be helpful to know how to perform basic tasks in a spreadsheet\, including sorting a table based on the values in a column\, and adding new columns to a spreadsheet. It helps to have access to a laptop for two of the four classes\, and a limited number of computers will be available if you don’t have one. \nAll classes will be held at the Hazelwood Branch of the Carnegie Library of Pittsburgh. Classes will be held according to the following schedule: \n tWednesday June 28th from 2-4 pm: Conducting neighborhood property data surveys\n tWednesday July 12th from 2-4 pm: Creating neighborhood statistics from property data\n tWednesday July 26th from 2-4 pm: An Introduction to geographic information from the Data 101 series\n tWednesday August 9th from 2-4 pm: Making online property maps in Carto. \n* Optional work sessions may be held between classes based on need. \nLearning Circles are a way for people to come together in an environment that allows you to ask questions and discuss with fellow learners. Participants come together to learn through lectures and tutorials\, and then are led by a facilitator in discussion and activities. Learning Circles combine the best of self-directed and in-person learning. \nSpace is very limited. Please register and the course facilitator will contact you with additional information\, including reading assignments and details on what to bring to the first class.
URL:https://www.lotstolove.org/event/property-data-learning-circle-4/
LOCATION:5006 Second Avenue\, pittsburgh\, PA\, 15207\, United States
CATEGORIES:Community Event,Education,Lecture
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170712T140000
DTEND;TZID=America/New_York:20170712T160000
DTSTAMP:20170614T214515Z
CREATED:20170614T214515Z
LAST-MODIFIED:20170614T214515Z
UID:6308-1499868000-1499875200@www.lotstolove.org
SUMMARY:Property Data Learning Circle
DESCRIPTION:Data about properties is incredibly valuable in developing neighborhood plans and redevelopment strategies. Data at the property level has also been used to target interventions and investments within a neighborhood. To build the capacity of neighborhood stakeholders\, The Western Pennsylvania Regional Data Center and the Carnegie Library of Pittsburgh are collaborating to offer a learning circle to provide hands-on training and support to people that want to use property data to understand more about their communities. We’ll be using Alan Mallach’s “Neighborhoods by Numbers\, an Introduction to Finding and Using Small Area Data” as a companion guide to the course. \nBy participating in the four-session learning circle\, participants will learn how to: \n tOrganize and conduct neighborhood property surveys\n tCreate tables and charts based on neighborhood statistics\n tMake sharable\, interactive property maps using open data\n tTie data to neighborhood redevelopment strategies and actions\n tTell stories about their neighborhood \nThere are no prerequisites to the course\, but it will be helpful to know how to perform basic tasks in a spreadsheet\, including sorting a table based on the values in a column\, and adding new columns to a spreadsheet. It helps to have access to a laptop for two of the four classes\, and a limited number of computers will be available if you don’t have one. \nAll classes will be held at the Hazelwood Branch of the Carnegie Library of Pittsburgh. Classes will be held according to the following schedule: \n tWednesday June 28th from 2-4 pm: Conducting neighborhood property data surveys\n tWednesday July 12th from 2-4 pm: Creating neighborhood statistics from property data\n tWednesday July 26th from 2-4 pm: An Introduction to geographic information from the Data 101 series\n tWednesday August 9th from 2-4 pm: Making online property maps in Carto. \n* Optional work sessions may be held between classes based on need. \nLearning Circles are a way for people to come together in an environment that allows you to ask questions and discuss with fellow learners. Participants come together to learn through lectures and tutorials\, and then are led by a facilitator in discussion and activities. Learning Circles combine the best of self-directed and in-person learning. \nSpace is very limited. Please register and the course facilitator will contact you with additional information\, including reading assignments and details on what to bring to the first class.
URL:https://www.lotstolove.org/event/property-data-learning-circle-3/
LOCATION:5006 Second Avenue\, pittsburgh\, PA\, 15207\, United States
CATEGORIES:Community Event,Education,Lecture
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170709T140000
DTEND;TZID=America/New_York:20170709T160000
DTSTAMP:20170614T214515Z
CREATED:20170614T214515Z
LAST-MODIFIED:20170614T214515Z
UID:6307-1499608800-1499616000@www.lotstolove.org
SUMMARY:Property Data Learning Circle
DESCRIPTION:Data about properties is incredibly valuable in developing neighborhood plans and redevelopment strategies. Data at the property level has also been used to target interventions and investments within a neighborhood. To build the capacity of neighborhood stakeholders\, The Western Pennsylvania Regional Data Center and the Carnegie Library of Pittsburgh are collaborating to offer a learning circle to provide hands-on training and support to people that want to use property data to understand more about their communities. We’ll be using Alan Mallach’s “Neighborhoods by Numbers\, an Introduction to Finding and Using Small Area Data” as a companion guide to the course. \nBy participating in the four-session learning circle\, participants will learn how to: \n tOrganize and conduct neighborhood property surveys\n tCreate tables and charts based on neighborhood statistics\n tMake sharable\, interactive property maps using open data\n tTie data to neighborhood redevelopment strategies and actions\n tTell stories about their neighborhood \nThere are no prerequisites to the course\, but it will be helpful to know how to perform basic tasks in a spreadsheet\, including sorting a table based on the values in a column\, and adding new columns to a spreadsheet. It helps to have access to a laptop for two of the four classes\, and a limited number of computers will be available if you don’t have one. \nAll classes will be held at the Hazelwood Branch of the Carnegie Library of Pittsburgh. Classes will be held according to the following schedule: \n tWednesday June 28th from 2-4 pm: Conducting neighborhood property data surveys\n tWednesday July 12th from 2-4 pm: Creating neighborhood statistics from property data\n tWednesday July 26th from 2-4 pm: An Introduction to geographic information from the Data 101 series\n tWednesday August 9th from 2-4 pm: Making online property maps in Carto. \n* Optional work sessions may be held between classes based on need. \nLearning Circles are a way for people to come together in an environment that allows you to ask questions and discuss with fellow learners. Participants come together to learn through lectures and tutorials\, and then are led by a facilitator in discussion and activities. Learning Circles combine the best of self-directed and in-person learning. \nSpace is very limited. Please register and the course facilitator will contact you with additional information\, including reading assignments and details on what to bring to the first class.
URL:https://www.lotstolove.org/event/property-data-learning-circle-2/
LOCATION:5006 Second Avenue\, pittsburgh\, PA\, 15207\, United States
CATEGORIES:Community Event,Education,Lecture
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170628T140000
DTEND;TZID=America/New_York:20170628T160000
DTSTAMP:20170614T214515Z
CREATED:20170614T214345Z
LAST-MODIFIED:20170614T214515Z
UID:6300-1498658400-1498665600@www.lotstolove.org
SUMMARY:Property Data Learning Circle
DESCRIPTION:Data about properties is incredibly valuable in developing neighborhood plans and redevelopment strategies. Data at the property level has also been used to target interventions and investments within a neighborhood. To build the capacity of neighborhood stakeholders\, The Western Pennsylvania Regional Data Center and the Carnegie Library of Pittsburgh are collaborating to offer a learning circle to provide hands-on training and support to people that want to use property data to understand more about their communities. We’ll be using Alan Mallach’s “Neighborhoods by Numbers\, an Introduction to Finding and Using Small Area Data” as a companion guide to the course. \nBy participating in the four-session learning circle\, participants will learn how to: \n tOrganize and conduct neighborhood property surveys\n tCreate tables and charts based on neighborhood statistics\n tMake sharable\, interactive property maps using open data\n tTie data to neighborhood redevelopment strategies and actions\n tTell stories about their neighborhood \nThere are no prerequisites to the course\, but it will be helpful to know how to perform basic tasks in a spreadsheet\, including sorting a table based on the values in a column\, and adding new columns to a spreadsheet. It helps to have access to a laptop for two of the four classes\, and a limited number of computers will be available if you don’t have one. \nAll classes will be held at the Hazelwood Branch of the Carnegie Library of Pittsburgh. Classes will be held according to the following schedule: \n tWednesday June 28th from 2-4 pm: Conducting neighborhood property data surveys\n tWednesday July 12th from 2-4 pm: Creating neighborhood statistics from property data\n tWednesday July 26th from 2-4 pm: An Introduction to geographic information from the Data 101 series\n tWednesday August 9th from 2-4 pm: Making online property maps in Carto. \n* Optional work sessions may be held between classes based on need. \nLearning Circles are a way for people to come together in an environment that allows you to ask questions and discuss with fellow learners. Participants come together to learn through lectures and tutorials\, and then are led by a facilitator in discussion and activities. Learning Circles combine the best of self-directed and in-person learning. \nSpace is very limited. Please register and the course facilitator will contact you with additional information\, including reading assignments and details on what to bring to the first class.
URL:https://www.lotstolove.org/event/property-data-learning-circle/
LOCATION:5006 Second Avenue\, pittsburgh\, PA\, 15207\, United States
CATEGORIES:Community Event,Education,Lecture
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170621T093000
DTEND;TZID=America/New_York:20170621T123000
DTSTAMP:20170614T214345Z
CREATED:20170614T214345Z
LAST-MODIFIED:20170614T214345Z
UID:6298-1498037400-1498048200@www.lotstolove.org
SUMMARY:Measuring Outcomes
DESCRIPTION:Moving from your Logic Model to an Outcome Measurement Plan: \nThis class will address how to turn your logic model into an outcome measurement plan.  Outcome Measurement is a process for demonstrating a nonprofit’s accountability and transparency that\, in addition to affecting programs and services\, can influence all major operations of the organization.  In this time of increased competition for grants\, it is more crucial than ever that nonprofits are able to clearly communicate their impact to their funders and stakeholders.  More importantly\, nonprofits owe it to themselves\, and those they serve\, to be able to analyze their programs and make improvements when necessary\, so that their desired outcomes will be met.  \nIn this workshop\, attendees will gain an understanding of the value of outcome measurements specifically for program managers.  They will become familiar with the outcome measurement process and learn how to implement an outcome measurement based approach to program evaluation.  Prior experience with logic models is recommended. \nThe speaker\, Martha Riecks\, is an independent consultant with over a decade of experience in the nonprofit field.  She specializes in providing services that allow small-to-medium nonprofits to clearly communicate the impact of their programs\, secure grant funds and measure their successes.  Ms. Riecks received a Master’s of Public Administration in Nonprofit Administration from the University of Pittsburgh and is a Registered Professional Fundraising Counsel with the Commonwealth of Pennsylvania’s Bureau of Charitable Organizations\, as well as a member of the American Evaluation Association. \nThis program is free!  However\, space is limited and registration is required by calling the Nonprofit Resource Center at (412) 622-6277.
URL:https://www.lotstolove.org/event/measuring-outcomes/
LOCATION:5801 Forbes Avenue \, Pittsburgh \, PA\, 15217\, United States
CATEGORIES:Education,Lecture
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