1,839 research outputs found
Strategic Communications for Influence: Lessons From the Annie E. Casey Foundation and Its KIDS COUNT Initiative
No full text· This article describes how the Annie E. Casey Foundation is using the KIDS COUNT Network in a new way: as a strategic communications tool in its focused efforts toward policy change, broad social change, and improved conditions for vulnerable children and families. An outcome map illustrates links between this strategy and the intended outcomes.
· Case illustrations of KIDS COUNT grantee activities surrounding the release of the 2008 KIDS COUNT Data Book describe the efforts of grantees in six states where the quantity and quality of media coverage surrounding the national data book reflected the kind of coverage that Casey believes will help achieve its desired outcomes.
· Strategic communications approaches such as relationships with journalists, use of locally relevant information, use of locally relevant media advocacy strategies, good preparation, and a solution orientation were present in states demonstrating desirable media coverage.
· Prescribing specific communications tactics matters less than supporting the network’s general capacity to engage in year-round strategic communications approaches to create conditions (e.g., reputations, relationships) that will contribute to successful media advocacy related to a specific event such as the release of the national data book
Peer Networking and Community Change: Improving Foundation Practice
No full text· This article brings together the Annie E. Casey Foundation’s 15 years of experience with peer networking— examining through two research studies the process of peer networking and its impact, both with community-based and funder groups.
· Peer networking helps people with common interests to exchange information, disseminate good practices, and build a leadership structure for work they do together, such as a community change initiative.
· Casey’s research identified 10 good practices for effective peer networking, as well as 10 challenges that can affect its success; a four-level model was created to provide context for these findings.
· The research indicates that peer networking can have significant impact for communities and in meeting philanthropic goals, but it is costly and must be carefully structured if it is to be successful.
· Casey is working to synthesize its peer networking practices into a more strategic framework, and other foundations might use some of its lessons learned to enhance their own practices in this area
sj-docx-1-msj-10.1177_13524585231204451 – Supplemental material for The MoxFo initiative – outcomes: Outcome measures in studies of exercise training in multiple sclerosis; scoping review of reviews and classification according to the ICF framework
No full textSupplemental material, sj-docx-1-msj-10.1177_13524585231204451 for The MoxFo initiative – outcomes: Outcome measures in studies of exercise training in multiple sclerosis; scoping review of reviews and classification according to the ICF framework by Cintia Ramari, Zain Awadia, Jens Bansi, Blathin Casey, Peter Feys, Lara A Pilutti, Brian M Sandroff and Lorna Paul in Multiple Sclerosis Journal</p
Glaciology Data Report, Casey 1981
No full textProgress Code: completedA collection of the data from the 1981 Glaciology program at Casey, collected from several inland traverses. Measurements include accumulation and density, barometric profiling, ice movement, gravity, ice thickness and bedrock profiling, temperatures at 10m depth, surface density, and oxygen isotopes.<br/><br/>These documents have been scanned and are available for download from the provided URL. The dataset download contains the following file:<br/><br/>Glaciology Data Report Casey 1981.pd
Casey Station GIS Dataset
No full textProgress Code: completedStatement: The dataset was originally a reflection of Casey Station at the time of capture: January 4,5 1994. Buildings and structures within the station change every year. Only water services were detailed to a high degree. Source data for this project included aerial photography flown on January 4 1994 at a height of 500 m (film ANTC 1003, 1004) using a Zeiss UMK camera, service detail from the Site Services and Maintenance Manual Casey station and ground surveys.
The value tests for the dataset included a test for spatial accuracy and data completeness, including line and polygon errors, a test for valid values against the Australian Antarctic Spatial Data Model, a visual check against all hard copy material.
The data were originally formatted according to the Australian Antarctic Spatial Data Model and are included in the GIS data for Casey available for download from a Related URL.
The data has been reformatted according to the SCAR Feature Catalogue which superseded the Australian Antarctic Spatial Data Model.
Data that are part of this dataset have Dataset_id = 11 in the SCAR Feature Catalogue format. Dataset_id is an attribute in the attribute table.
Data quality information for any feature can be searched for at a Related URL by entering the Qinfo number of the feature at the 'Search datasets and quality' tab. Qinfo is an attribute in the attribute table.The Casey Station dataset represents man-made facilities around Australia's Casey Station and its immediate environs. Detailed attributes are held for the data including buildings, site services, communications, fuel storage.<br/>The spatial data have been compiled from low level aerial photography, ground surveys and engineering plans.<br/><br/>Detail attribution of site services includes make, size and engineering plan number.<br/><br/>Topographic data for Casey is part of the Windmill Islands 1:50000 Topographic Dataset (see Related URL). This data is described by the metadata record 'Windmill Islands 1:50000 Topographic GIS Dataset', Entry ID: Wind50k.<br/><br/>Changes have occurred at the station since this dataset was produced. For example some buildings and other structures have been removed and some added.<br/>As a result the data available for download from a Related URL below is updated with new data having different Dataset_id(s)
Casey marine sediment meiofauna 2015
No full textProgress Code: completed<b>Purpose</b><br/>Sampling was conducted using a nested hierarchical design encompassing three spatial scales: (1) locations, separated by kilometres; (2) within each location, two sites were typically established, approximately 100 m apart; and (3) within each site, there were at least two plots (2 m diameter) spaced roughly 10 m apart. Replicate samples were collected from each sampling plot for meiofauna, macrofauna and environmental analysis.Marine meiofauna community data from Casey Station area in the Windmill Islands, east Antarctica. Data comes from samples taken by divers in 2015 from 10 locations around the Casey area. Samples were taken with small corers which consisted of modified 60 mL syringes with internal diameter of 28 mm. These syringes were inserted into the sediment to a depth of 10 cm, then extracted and the lower end capped. Samples were preserved in 4% formalin. All meiofauna were counted and identified to at least phylum level. Copepods were identified to family level and nematodes were identified to genus level.<br/><br/>There are a total of 83 samples, 8 from each location, except for 4 at O’Brien Bay-1 and 12 at Shannon Bay and Brown Bay Middle.<br/><br/>The data consists of an excel spreadsheet with four worksheets.<br/>1. Location data – latitude, longitude, depth<br/>2. Phylum/Class/Order counts per sample<br/>3. Copepod family counts per sample<br/>4. Nematode genus counts per sampl
sj-pdf-1-vet-10.1177_03009858221079665 – Supplemental material for Histopathology and localization of SARS-CoV-2 and its host cell entry receptor ACE2 in tissues from naturally infected US-farmed mink (Neovison vison)
No full textSupplemental material, sj-pdf-1-vet-10.1177_03009858221079665 for Histopathology and localization of SARS-CoV-2 and its host cell entry receptor ACE2 in tissues from naturally infected US-farmed mink (Neovison vison) by Jana M. Ritter, Tais M. Wilson, Joy M. Gary, Josilene N. Seixas, Roosecelis B. Martines, Julu Bhatnagar, Brigid C. Bollweg, Elizabeth Lee, Lindsey Estetter, Luciana Silva-Flannery, Hannah A. Bullock, Jonathan S. Towner, Caitlin M. Cossaboom, Natalie M. Wendling, Brian R. Amman, Robert R. Harvey, Dean Taylor, Hannah Rettler, Casey Barton Behravesh and Sherif R. Zaki in Veterinary Pathology</p
Australian Hydrographic Service Surveys at Casey Station - ITRF2000
No full textProgress Code: completedStatement: Vertical uncertainty ranges from 0.05 to 0.64 m and horizontal uncertainty ranges from 0.05 to 1.0 m<b>Purpose</b><br/>The AADC (Australian Antarctic Data Centre) is in the process of converting all internally held spatial datasets to the ITRF2000 horizontal datum.This consolidated dataset consists of Australian Hydrographic Service (AHS) surveys HI621A and HI545 converted to International Terrestrial Reference Frame 2000 (ITRF2000) horizontal datum with Z conversion values for multiple height datums. The data was provided to the Australian Antarctic Division by Paul Digney of Jacobs consulting in February 2021.<br/><br/>Included survey datasets:<br/>- HI621A.shp (Validated folder)<br/>- 1812_5093-HI621A_CASEY_Terrestrial.shp<br/>- QC_HI545_12pt5_appraised<br/><br/>All data are in horizontal datum ITRF2000 and have been combined into a single ESRI geodatabase feature class titled AHS_Surveys_Casey_ITRF2000.<br/>Attribute data shows quality information, conversion factors (shift in metres) for multiple datums and the MSL orthometric height for Casey:<br/><br/>Column Name, Alias, Meaning<br/>Easting, Easting, Easting ITRF2000<br/>Northing, Northing, Northing ITRF2000<br/>CD_To_GRS8, CD_To_GRS80, LAT (Chart Datum) to the Ellipsoid<br/>CD_TO_MSL_Casey, CD_To_MSL_Casey, Ellipsoid to Casey MSL<br/>Z_To_GRS80, Z_To_GRS80, Height to the Ellipsoid<br/>Z_To_MSL_Casey, Z_To_MSL_Casey, Local MSL orthometric height<br/>Vert_Uncer, Vertical_Uncertainty, How good is the Vertical Position<br/>Horiz_Unce, Horizontal Uncertainty, How good is the Horizontal Position<br/>Uncertaint, Uncertainty Comments, <br/>Depth_Comm, Depth_Comments, <br/><br/>Vertical uncertainty ranges from 0.05 to 0.64 m and horizontal uncertainty ranges from 0.05 to 1.0 m<br/><br/>See the attached document ‘Metadata Record Casey Final.xlsx’ for further details.<br/><br/>These data were updated in August, 2023 to add a csv version of the data
The Economic Return on New Immigrants' Human Capital: the Impact of Occupational Matching
No full textUsing a data set that provides information on source country employment, we examine the effect of source and host country occupational matching on earnings and the economic rate of return to the foreign human capital of immigrants in Canada. Examining occupational distributions we find that immigrants converge very quickly to the skill distribution of the Canadian population in terms of the main job worked, although four years after landing they are still below the source country distribution. We also find that for a large proportion of immigrants, their intended occupation differs from their source country occupation. Although immigrants who are able to match their source and host country occupations obtain higher earnings, successful occupational matching does not have any impact on the return to foreign potential work experience. However, immigrants who match their source and host country occupations do have a higher return to schooling, particularly for females.Immigrants, Occupational Matching, Human Capital, Canada
Orthomosaic and digital surface model of Casey station, 8th February 2023.
No full textProgress Code: completedStatement: Photogrammetric mean RMS error = 0.034 m<b>Purpose</b><br/>Acquisition of up to date imagery and ground surface conditions of Casey station to assist science project 4503.Casey station orthomosaic and digital surface model compiled from nadir imagery acquired from two consecutive mapping missions by a DJI Matrice 300 quadcopter with a Zenmuse P1 35 mm RGB camera. 1109 images were processed with Pix4D Mapper (version 4.7.5) to produce the data products. Imagery processed by Dr Dan Wilkins. Flights undertaken by Dr Dan Wilkins and Dr Rebecca McWatters with assistance from the 2022/23 remediation team (Johan Mets, Dr Gwilym Price and Kasey Williams)
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