LocalData is a new digital toolkit designed to help community groups, professional planners and government agencies modernize community-led data collection of place-based information.
THE NEED
Across the country, community groups, planners and government agencies collect parcel-level information about communities. Typically, the process for collecting, transcribing and cleaning this data can be confusing, lengthy and disempowering. LocalData transforms this process with technology.
LocalData began as a 2012 Code for America project with the City of Detroit. Three Code for America fellows (Matt, Alicia and Prashant) identified a need for local data in Detroit. Though community groups were actively surveying neighborhoods and using this data - neighborhood level surveys took a long time and further stressed the under-resourced technical assistance providers that were assisting this effort. Additionally, comprehensive city-wide surveys were taken infrequently, often involving multiple partners, with months of surveying and transcription.
This dashboard presents program and policy changes states have made to their Unemployment Insurance (UI) programs in response to the current COVID-19 pandemic and economic situation. It includes information for all 50 states and the District of Columbia, allowing for easy comparison of program changes across states and when those changes were made.
Xavier University's American Dream Composite Index™ (ADCI) measures the extent to which people living in the United States achieve the American Dream. The ADCI is based on a random sample of no fewer than 1,000 adults who are surveyed online each month, with at least 400 respondents recurring from the previous month.
T he Complexity Challenge is an Economist Intelligence Unit report that investigates the rise of complexity in business and the challenges that increasing complexity creates. The report was
commissioned by RBS. The Economist Intelligence Unit bears sole responsibility for the content of this report. Our editorial team executed the online survey, conducted the interviews and wrote the report.
The Center for Civil Society in the Luskin School of Public Affairs at UCLA was established in 2002 as a research center focused on civil society, nonprofit organizations, philanthropy, and social enterprise. Situated across the School's three academic departments of Public Policy, Urban Planning, and Social Welfare, the Center has, over the past decade, developed graduate curricula, served as a convening center for scholars, practitioners, and students, and has produced an array of studies and publications, including an annual State of the Los Angeles Nonprofit Sector report and survey that has become a trusted source of data and analysis for the regional nonprofit community.
Participedia's searchable database of democratic innovations is made up of three distinct content types including Cases, Methods and Organizations. Bolstering this knowledge base are added resources, including surveys, teaching tools and external data sets.
The initial vision for Participedia was developed by Archon Fung (Kennedy School of Government, Harvard University) and Mark E. Warren (Department of Political Science, University of British Columbia), and is guided by a set of standing committees.
The Bureau of Labor Statistics added questions to the Current Population Survey (CPS) to help gauge the effects of the coronavirus (COVID-19) pandemic on the labor market. These questions were asked beginning in May 2020 and will remain in the CPS until further notice.
Bike lanes help define road space, decrease the stress level of bicyclists riding in traffic, encourage bicyclists to ride in the correct direction of travel, and signal motorists that cyclists have a right to the road. Bike lanes help to better organize the flow of traffic and reduce the chance that motorists will stray into cyclists' path of travel.1, 2 Bicyclists have stated their preference for marked on-street bicycle lanes in numerous surveys.3 In addition, several real-time studies (where cyclists of varying abilities and backgrounds ride and assess actual routes and street conditions) have found that cyclists are more comfortable and assess a street as having a better level of service for them where there are marked bike lanes present.4