At Great Lakes we work to make postsecondary degrees, credentials and certificates accessible to as many students as possible. Specifically, we focus our philanthropy on helping those who traditionally have the most to gain from college, but who often have the least support in getting there: students from low-income homes, students of color and first-generation students.

This Report highlights our belief that overcoming barriers to graduation requires engaging both students and colleges—with success being their shared goal. In it you'll find details on many of the 50 grants we launched in 2016, several key findings and our goals for the coming year.

Afterschool programs are seen as a way to keep low-income children safe and to foster the skills needed to succeed in school and life. Many cities are creating afterschool systems to ensure that such programs are high-quality and widely available. One way to do so is to ensure afterschool systems develop and maintain a data system.This interim report presents early findings from a study of how afterschool systems build their capacity to understand and improve their practices through their data systems. It examines afterschool data systems in nine cities that are part of The Wallace Foundation's Next Generation Afterschool System-Building initiative, a multi-year effort to strengthen systems that support access to and participation in high-quality afterschool programs for low-income youth. The cities are Baltimore, Md., Denver, Colo., Fort Worth, Texas, Grand Rapids, Mich., Jacksonville, Fla.,Louisville, Ky., Nashville, Tenn., Philadelphia, Pa., and Saint Paul, Minn.To date, research on data use in afterschool systems has focused more on the implementation of technology than on what it takes to develop and sustain effective data use. This study found that the factors that either enabled or hampered the use of data in afterschool systems—such as norms and routines, partner relationships, leadership and coordination, and technical knowledge—had as much to do with the people and process components of the systems as with the technology.Strategies that appear to contribute to success include:

•     Starting small. A number of cities intentionally started with a limited set of goals for data collection and use, and/or a limited set of providers piloting a new data system, with plans to scale up gradually.

•     Ongoing training. Stakeholders learned that high staff turnover required ongoing introductory trainings to help new hires use management information systems and data. Providing coaching and developing manuals also helped to mitigate the effects of turnover and to further the development of more experienced and engaged staff.

•     Outside help. Systems varied in how they used the expertise of outside research partners. Some cities identified a research partner who participated in all phases of the development of their data systems. Others used the relationship primarily to help analyze and report data collected by providers. Still others did not engage external research partner, but identified internal staff to support the system. In any of these scenarios, dedicated staffers with skills in data analytics were key.

Afterschool programs are seen as a way to keep low-income children safe and to foster the skills needed to succeed in school and life. Many cities are creating afterschool systems to ensure that such programs are high-quality and widely available. One way to do so is to ensure afterschool systems develop and maintain a data system.This interim report presents early findings from a study of how afterschool systems build their capacity to understand and improve their practices through their data systems. It examines afterschool data systems in nine cities that are part of The Wallace Foundation’s Next Generation Afterschool System-Building initiative, a multi-year effort to strengthen systems that support access to and participation in high-quality afterschool programs for low-income youth. The cities are Baltimore, Md., Denver, Colo., Fort Worth, Texas, Grand Rapids, Mich., Jacksonville, Fla.,Louisville, Ky., Nashville, Tenn., Philadelphia, Pa., and Saint Paul, Minn.To date, research on data use in afterschool systems has focused more on the implementation of technology than on what it takes to develop and sustain effective data use. This study found that the factors that either enabled or hampered the use of data in afterschool systems—such as norms and routines, partner relationships, leadership and coordination, and technical knowledge—had as much to do with the people and process components of the systems as with the technology.Strategies that appear to contribute to success include:

•     Starting small. A number of cities intentionally started with a limited set of goals for data collection and use, and/or a limited set of providers piloting a new data system, with plans to scale up gradually.

•     Ongoing training. Stakeholders learned that high staff turnover required ongoing introductory trainings to help new hires use management information systems and data. Providing coaching and developing manuals also helped to mitigate the effects of turnover and to further the development of more experienced and engaged staff.

•     Outside help. Systems varied in how they used the expertise of outside research partners. Some cities identified a research partner who participated in all phases of the development of their data systems. Others used the relationship primarily to help analyze and report data collected by providers. Still others did not engage external research partner, but identified internal staff to support the system. In any of these scenarios, dedicated staffers with skills in data analytics were key.

Afterschool programs are seen as a way to keep low-income children safe and to foster the skills needed to succeed in school and life. Many cities are creating afterschool systems to ensure that such programs are high-quality and widely available. One way to do so is to ensure afterschool systems develop and maintain a data system.This interim report presents early findings from a study of how afterschool systems build their capacity to understand and improve their practices through their data systems. It examines afterschool data systems in nine cities that are part of The Wallace Foundation’s Next Generation Afterschool System-Building initiative, a multi-year effort to strengthen systems that support access to and participation in high-quality afterschool programs for low-income youth. The cities are Baltimore, Md., Denver, Colo., Fort Worth, Texas, Grand Rapids, Mich., Jacksonville, Fla.,Louisville, Ky., Nashville, Tenn., Philadelphia, Pa., and Saint Paul, Minn.To date, research on data use in afterschool systems has focused more on the implementation of technology than on what it takes to develop and sustain effective data use. This study found that the factors that either enabled or hampered the use of data in afterschool systems—such as norms and routines, partner relationships, leadership and coordination, and technical knowledge—had as much to do with the people and process components of the systems as with the technology.Strategies that appear to contribute to success include:

•     Starting small. A number of cities intentionally started with a limited set of goals for data collection and use, and/or a limited set of providers piloting a new data system, with plans to scale up gradually.

•     Ongoing training. Stakeholders learned that high staff turnover required ongoing introductory trainings to help new hires use management information systems and data. Providing coaching and developing manuals also helped to mitigate the effects of turnover and to further the development of more experienced and engaged staff.

•     Outside help. Systems varied in how they used the expertise of outside research partners. Some cities identified a research partner who participated in all phases of the development of their data systems. Others used the relationship primarily to help analyze and report data collected by providers. Still others did not engage external research partner, but identified internal staff to support the system. In any of these scenarios, dedicated staffers with skills in data analytics were key.

The Joyce Foundation's Shifting Gears initiative was launched in 2007 as a state policy change effort in Indiana, Illinois, Michigan, Minnesota, Ohio, and Wisconsin. The goal was to strengthen adult basic education, workforce, and community and technical college systems so that more low-skilled workers gain the education, skills and credentials needed to advance and succeed in our changing economy.

The Joyce Foundation extended Shifting Gears funding from 2012 -- 2014 (referred to as SG 3.0) in Illinois, Minnesota, and Wisconsin. This report reached five primary findings:

• Illinois, Minnesota, and Wisconsin doubled the total number of their bridge programs from 79 to 196 between SG 2.0 to SG 3.0.
• Each state effectively institutionalized its adult education bridge program as an ongoing option to address the educational and skill needs of low-skilled adult learners.
• In two of the three states (Minnesota and Wisconsin), important policy changes expanded financial resources available for adult education bridges, and created the foundation for further advancing adult education bridges.
• Scale was not achieved during this period in terms of serving many or most of the low-skilled adults who might benefit from bridge programs.
• The work of Shifting Gears positively influenced the national discourse on workforce development.