Dorothy A. Johnson Center for Philanthropy The Potential of Community Information Systems (CIS) to Deepen Grantmaker Impact Welcome and Introductions- Intro Team James Edwards, Ph.D. Executive Director E. Miles Wilson, MA Director, Philanthropic Services Dorothy A. Johnson Center for Philanthropy www.cridata.org

Agenda Johnson Center Overview The Grantmaking Challenge Community Information Infrastructure Measuring/Monitoring Community Impact Completing the Cycle: Data Driven Decision Discussion/Questions Review workshop agenda topics Ask if there is anything else that attendees want to make sure are covered Fun Fact: Origin of the word Data 1640-50 Data  is a plural of datum,  which is originally a Latin noun  meaning “something given.” Today, data  is used in English both as a plural noun meaning  “facts or pieces of information” 

Dorothy A. Johnson Center for Philanthropy Welcoming Comments Established in 1992 as an academic center for advancing philanthropy and nonprofit leadership. The Center is a Center for Excellence at Grand Valley State University and housed in the College of Community and Public Service.

OUR MISSION The Johnson Center for Philanthropy is a university-based academic center serving nonprofits, foundations, and others that seek to transform their communities for the common good, and is adapting constantly to changing conditions. We do this through applied research, professional development, and the advancement of social technologies. Pause on this slide so they can read the cartoon. Explain that we are going to take a few minutes to reflect on some thoughts about data

Why a Philanthropy Center? One of 44 members of Nonprofit Academic Centers Council Pause on this slide so they can read the cartoon. Explain that we are going to take a few minutes to reflect on some thoughts about data Only comprehensive nonprofit and philanthropy center in Michigan Second largest number of staff Second largest operating budget Third largest endowment (15 centers – endowments) Second largest philanthropy library in the nation

The Johnson Center Services Philanthropic and Nonprofit Services Nonprofit Services The Grantmaking School Community Research Institute Research & Evaluation Data Systems & Solution Thought Leadership Programming The Foundation Review Frey Chair for Family Foundations & Philanthropy The Johnson Center Philanthropy Library & Archives Pause on this slide so they can read the cartoon. Explain that we are going to take a few minutes to reflect on some thoughts about data

Philanthropic and Nonprofit Services Herbert H. and Grace A. Dow Foundation Nonprofit services Enhancing performance through education and technical assistance Multiple resources available to nonprofit organizations: Executive and Team Coaching Technical assistance for organizations Training and workshops on a variety of topics Leadership development and organizational assessments One of the nation's largest library collections of books, periodicals, and databases on philanthropy and nonprofit management. Pause on this slide so they can read the cartoon. Explain that we are going to take a few minutes to reflect on some thoughts about data

Philanthropic and Nonprofit Services THE GRANTMAKING SCHOOL Advancing impact through professional education Our Courses: Advanced Proposal Analysis: A Critical Explanation of Complex Issues Advanced Grant Portfolio Management: A Framework for Strategic Grantmaking Grant Financial Analysis Evaluation for Grantmakers Pause on this slide so they can read the cartoon. Explain that we are going to take a few minutes to reflect on some thoughts about data Customized Grantmaker Education National Open Courses

Community Research Institute Empowering communities with quality research and data Pause on this slide so they can read the cartoon. Explain that we are going to take a few minutes to reflect on some thoughts about data The Community Research Institute can help you with: Applied social research and data Program and service evaluation Obtaining and cleaning community data Organizing, securing, and making data available Standardizing community measurement and indicators Mapping data and multiple data sets

Thought Leadership Programming The Foundation Review The first peer-reviewed journal of philanthropy Pause on this slide so they can read the cartoon. Explain that we are going to take a few minutes to reflect on some thoughts about data

The Frey Chair for Family Foundations & Philanthropy The first peer-reviewed journal of philanthropy Pause on this slide so they can read the cartoon. Explain that we are going to take a few minutes to reflect on some thoughts about data Michael Moody, Ph.D. Frey Chair for Family Foundations & Philanthropy

Pause on this slide so they can read the cartoon. Explain that we are going to take a few minutes to reflect on some thoughts about data

Future Challenges for Grantmakers Pause on this slide so they can read the cartoon. Explain that we are going to take a few minutes to reflect on some thoughts about data

How will Federal and State Budget Cutting Impact the Work of Charitable Foundations? Re-examination by grantmakers of strategic versus responsive grantmaking. Extreme shift to high leverage grant opportunities including collaborative and multi organization grants. An expansion of grantmaker tool boxes to include diverse financial support and grant analysis models. Increased funding for nonprofit mergers and reduced funding for new nonprofit efforts. Pause on this slide so they can read the cartoon. Explain that we are going to take a few minutes to reflect on some thoughts about data

IMPRESSIONS ABOUT DATA We Got A Map for That Pause on this slide so they can read the cartoon. Explain that we are going to take a few minutes to reflect on some thoughts about data IMPRESSIONS ABOUT DATA

“Not everything that counts can be counted, and not everything that can be counted counts” Albert Einstein (Physicist b. 1879 d. 1955) http://www.brainyquote.com

Charles Babbage (Mathematician b. 1792 d. 1871) Errors using inadequate data are much less than those using no data at all Charles Babbage (Mathematician b. 1792 d. 1871) Prompt Q’s Do you agree or disagree? Why? Can you think of an example? Is this quote more or less relevant today? Bad data (WMD), incomplete data (Pearl Harbor 911) and good data (Google People Finder in Japan)

How Community Information Systems Can Help? We Got A Map for That What community questions do you have about How Community Information Systems Can Help?

What are your grantmaking priorities and strategies What are your grantmaking priorities and strategies? How do you define community? What questions do you have about your community?

Potential sources of data

ACCESSING COMMUNITY DATA We Got A Map for That ACCESSING COMMUNITY DATA

What is a Community Information System (CIS)? A repository (one stop shop) of multiple topics and data sources that is: Organized Integrated (GIS) Up-to-date Enriched Displayed Local-based content (community specific) but also state and national This kind of development requires three kinds of innovations: Technology and data Institutional Using information for change Source: Kingsley, 2005

Conceptual View Questions Infrastructure Financial Support Community Information Consumers Education & Research Application Development Community Driven Information Providers Community Questions Infrastructure Financial Support

Community Information System Options Type of Number of Data Sets Type of Interface (Customization) Frequency of Data Updates Local Data Quality & Availability Evaluation & Research Education & Training 21/22 The Coordinating Council: CIS

Research Evaluation Services Example: Community View Government Private/ Christian Schools Health Human Services CRI Data Standards Translator CRI Data Warehouse School Student Records One structural option Research Evaluation Services Data Bridge Data Bridge Case Management System GRPS Dashboards Quarterly Reports, Training Dissemination & Scholarships, Online tools (i.e, MAPAS) United Way OST Sites Churches Other Key: Future/Potential Contributors Key System-Data Providers

Community Data Sharing Approach Measuring & Monitoring Community Impact

Grand Rapids Juvenile Offense Index Community Questions

What is the youth involvement by age and type of offense? Community Question: What is the youth involvement by age and type of offense?

What times are juveniles more likely to commit offenses? Community Question: What times are juveniles more likely to commit offenses?

What times are juveniles more likely to commit offenses? Community Question: What times are juveniles more likely to commit offenses?

Geography Matters

Voting Patterns

Garfield Park Neighborhood Grand Rapids, MI Concentration of Juvenile Offenses Garfield Park Neighborhood Grand Rapids, MI Community Information Systems

Community Information Systems Concentration of Juvenile Offenses West Grand Neighborhood Grand Rapids, MI Community Information Systems

Community Indicators Approach Measuring & Monitoring Community Impact

COMMUNITY DATA AS A TRUST We Got A Map for That COMMUNITY DATA AS A TRUST

Grand Rapids Community Foundation Foundation Dashboard Example: Novah.Info Grand Rapids Community Foundation 18/22

Kent County Program/Initiative Shared Indicators Examples 1st Steps United Way GRCF KSSN CFP B2B Prevention Initiative Talent 2025 GR Youth Master Plan HEALTH & Behavioral Health Substance Use/Abuse X * Emergency room use for Primary Care Abuse/Neglect Access to Mental Health Services PARENT/ADULT INVOLVEMENT Treatment/Services Parents can support social, emotional, physical and academic development of their children EDUCATION Positive social competencies among youth Children ready for kindergarten/life Academic achievement School progressions Graduation rates Attendance rates Suspensions/Expulsions WORK/EMPLOYMENT Trained & Ready Workforce CRIME/CRIMINAL JUSTICE Juvenile Offense

User Defined Online Tools Measuring & Monitoring Community Impact

Community Data Demonstration Census CRI Community Profiles MAPAS Interactive Mapping Site Census a. MI loses population overall but geography matters b. Demographic shifts c. Housing shifts d. Research briefs 2. Community Profiles a. Explain the purposes and target audience for the tool: “for users that know a geo they want to get info for” b. Explain data structure/sources: how is the info organized? define what info is available in community profiles nationally (first two tabs) vs what is available at the state, county, city, neighborhood levels. Emphasize our intent was to build a tool for local users. c. Demo the functions: Use an interactive scenario to illustrate how to navigate through the tool. (Example: Lets say you are want to start a teenage pregnancy prevention program and you are looking for data to identify where you will offer program services based on need, or support your case statement for a grant you are writing. What kind of data might you need? Demo how they could find and compare data on teenage pregnancy. Explain difference b/w compare and trend. Demo one state to state comparison using a state from one of the participants (your call-population, race, ed attainment?). d. Reflection Qs: What else might you use the system for? What other features would be helpful to see? 3. MAPAS a. Explain the purposes and target audience for the tool: “for users that want the spatial distribution (mapping) to visualize information about a geo area” b. Explain the data structure/sources: how is the info organized? emphasize what data is available for mapping, at what levels (ie-nbhd to national) c. Demo the functions: Use interactive scenarios to illustrate how to navigate through the tool. (Example 1: Census data 1990, 2000, 2010. Highlight the major differences. Ask participants to consider the implications of these shifts. Why is this data important? Why else? What other Q’s does this raise for you? What else would you like to know? Example 2: You are working on a Get Out the Vote campaign and want to look at historical data for the last election so you know who has not participated in the past so you can tailor an awareness strategy to under-represented populations. Have them pick a neighborhood or use the voter turnout data from Garfield Park as an example. Ask what does this data tell us? How would we use this. What else would you like to know)

Census Highlights 2000-2010 Population Demographics Households Grand Rapids/Under 18 Kent County Total Pop. Demographics Hispanics Pop. African American Pop. Households Size Units and Vacancies

Community Profiles CIS-intersection b/w topical content and geography National State Regional County City Neighbor-hood Block Individual Community Profiles Community Questions Demographics Economics Education Housing Birth Statistics Crime/Safety Civic Engagement CIS-intersection b/w topical content and geography The visual behind the center graphic is a visual of the internet Geographies in red are unique attributes of CRI Not all content is available at all geographies Analytics: Mathematics Algorithm Statistics Databases Data

We Got A Map for That Handoff to Jay USING COMMUNITY DATA

Using Community Data to Understand and Improve Conditions Poverty Home Foreclosure Prenatal Care Juvenile Offense Index Chronic Absenteeism Achievement Gap Transportation Community Indicators Voting Patterns Food security/distribution Earned income tax credits Summer Learning Loss

Case Example #1 Using school data to define the scope of the problem and begin the conversation about solutions

Early Chronic Absenteeism This is a 4 year study that counts the number of juvenile crime offenses in Grand Rapids (y axis) by year (x axis). At a glance, what does this data illustrate? -Fewer offenses are being committed: unique offenses decreased from 1,017 to 723 -Fewer youth are involved in offenses: youth involved in offenses decreased from 1,532 to 847 -The gap between the number of youth involved in offenses and the total number of offenses decreased -Status offense rate decreased from 42.2 to 28.4 per 1,000 youth -The number of youth involved in offenses decreased at a faster rate than the total number of offenses committed The idea is to practice making meaning from data.

Early Chronic Absenteeism The number of juvenile crime offenses in Grand Rapids (y axis) by time of day (x axis). Point out 2006 is yellow line, 2009 is blue line. What do you see? What does this chart tell you? What else? What other data might help you understand what is happening here? Data shows increased youth involvement in offenses in the hours immediately after the school day ends and beginning again in the early evening-trend is consistent across 4 years. 2009 shows an overall decrease in the frequency of school day offenses-trend is consistent across 4 years What happened? What might have contributed to the decrease? Who would find this data valuable? Who do you think commissioned this study and why? ELO to make the case for afterschool programs. Does that surprise you? Who else might benefit from this data?

Case Example #2 Using local data to identify priority geographies and service populations Kent County Early Childhood Indicators

The indices are comprised of multiple SES variables All the factors suggest that children will not be prepared to learn

Completing the Cycle Data Driven Decisions

Awareness, Interpretation, Integration Data driven decision making begins with awareness (visual on the left) During the interpretation stage, we create meaning to the data and so it can become informative. It can be valuable to get multiple perspectives when interpreting data. Integration is often a cyclical process like the visual on the left, and will be influenced by the factors as outlined in the visual on the right

Data Driven Disruption Data driven decision making requires change. Change is hard in part because it is disruptive and uncertain. Polarity management-there will always be forces for and against change, so the ability to lead change in yourself and others is an important skill.

Managing Change

We Got A Map for That What does the future hold? COMMUNITY DATA TRENDS

Community Indicator Resources National Neighborhoods Indicator Partnership (NNIP) Open Indicators Consortium (OIC) Urban Institute Lots of Vendors Key is sustainability

Questions? Think of data like pieces of a jigsaw puzzle Data helps us make meaning, see the picture and understand our world It can help us prove or disprove a point, a hypothesis or a position So What, Now What? Ask P’s to write down one take away they learned and one thing they are going to do in the next 24 hours as a result of this workshop

THANK YOU