Diversity, Equity, Inclusion, and Accessibility (DEIA): In FY 2022, DHS approved the FY 2022-FY 2026 ICE DEIA Strategic Plan and Directorate Implementation Plans, which illustrates why creating a diverse and inclusive workforce is fundamental to ICE’s continuing ability to perform its critical mission efficiently and effectively. During this time, DEIA policies issued to the ICE workforce included the ICE Anti-Harassment Policy, the Diversity Policy, and the Civil Rights and Civil Liberties Policy. Additionally, ODCR, in collaboration with OHC, drafted new requirements for ICE to mandate diverse interview panels when filling supervisory positions via the competitive procedures in support of the DHS Secretary’s priority to advance DEIA.

Demographic Data - Diversity Efforts

Jaehun/data-diversity-nli-ood-train dataset hosted on Hugging Face and contributed by the HF Datasets community

IPUMS_national_diversities.csvcsv file containing national diversity values from 1850-2010IPUMS_ind_occ_statecsv file containing counts of people per year-state-industry-occupationdiv_decomp_RscriptThe R script is used to generate a .csv file from the data extracted from IPUMS-USA.div_decomp_makefigsThe makefigures jupyter notebook contains the code that generates the figures that are used in the paper.div_decomp_makedataThe makedata jupyter notebook 'cleans' the data that is the output of the R script by excluding miscallaneuous classes from the data.IPUMS_data_extract_details.cbkThe extraxt_details.txt file contains the details of the data extract from IPUMS-USA (Steven Ruggles, Sarah Flood, Ronald Goeken, Josiah Grover, Erin Meyer, Jose Pacas, and Matthew Sobek. IPUMS USA: Version 9.0 [dataset]. Minneapolis, MN: IPUMS, 2019. https://doi.org/10.18128/D010.V9.0)

Jaehun/data-diversity-nli-ood-test dataset hosted on Hugging Face and contributed by the HF Datasets community

Diversity data for all Department for Transport central staff available - Age, ethnicity, gender, sexual orientation, name, location, directorate, etc. Data from System Applications & Products or People Information Management System.

The diversity toolkit is a book. It was written by William Sonnenschein and published by Contemporary in 1999.

2015-16 Demographic Data - Diversity Efforts

No description was included in this Dataset collected from the OSF

READMEReadMe fileplot_fig2R script for generating Fig. 2plot_fig3R script for generating Fig. 3plot_fig5R script for generating Fig. 5common_functionsR script with several functions required by the other scriptsgen_data_fig2rightR script for generating the data required to plot the right panel of Fig. 2

Diversity Equity and Inclusion Training & Evaluation Data

  Dataset Overview

This dataset is designed to support training and evaluating AI models or educational programs in the areas of Diversity, Equity, and Inclusion (DEI). It contains 198 entries (approximately 716 KB in CSV format), each entry pairing a realistic instruction related to DEI scenarios or queries with a corresponding response that models an appropriate, inclusive answer. Alongside each question-answer… See the full description on the dataset page: https://huggingface.co/datasets/ktiyab/Diversity_Equity_and_Inclusion.

From the financial year commencing 1 April 2012, all equality and diversity data has been combined into one report and produced as a PDF. Earlier files provide workforce equality data for the annual periods 1 April 2010 to 31 March 2011 and 1 April 2011 to 31 March 2012. The files contain a breakdown of staff by grade for core BIS, including UKTI.

Explore demographic data on the Massachusetts executive branch workforce. Track our progress toward our goals to reflect the diversity of the people we serve, and to stand out as an employer of choice.

It is important to identify any barriers in recruitment, hiring, and employee retention practices that might discourage any segment of our population from applying for positions or continuing employment at the City of Tempe. This information will provide better awareness for outreach efforts and other strategies to attract, hire, and retain a diverse workforce.This page provides data for the Employee Vertical Diversity performance measure.The performance measure dashboard is available at 2.20 Employee Vertical Diversity.Additional InformationSource:PeopleSoft HCM, Maricopa County Labor Market Census DataContact: Lawrence LaVictoireContact E-Mail: lawrence_lavicotoire@tempe.govData Source Type: Excel, PDFPreparation Method: PeopleSoft query and PDF are moved to a pre-formatted excel spreadsheet.Publish Frequency: Every six monthsPublish Method: ManualData Dictionary

Contains data crowdsourced daily from Venezuelans using the Premise Data mobile application. The data collected allows the fast measurement of Household Dietary Diversity Score (HDDS), with the goal of providing context around the food security in vulnerable communities.

More relevant information below:

• The booklet included HERE goes into more details on how Premise's crowdsourcing works

The FLOTROP dataset contains numerous plant observations (around 340,000 occurrences) in northern tropical Africa (from the 5 th to 25th parallel north) in open ecosystems (savannah and steppe). They were collected by multiple collectors between 1920 and 2012 and were managed by Philippe Daget. These observations are probably the most important and unique source of plant distribution over the Sahel area. The data are now available in the Global Biodiversity Information Facility (GBIF), Tela Botanica website, and as maps in the African Plant Database. For the overall area involved, this dataset has increased by 40% the data available in the GBIF. For some countries between the 15th and 21st parallel north, the FLOTROP dataset has increased available occurrences 10-fold compared to the data existing in the GBIF.

Tropical northern Africa (herein defined as between the 5th and 25th parallel north) is mostly occupied by open ecosystems, such as steppe and savannah. The vegetation in these ecosystems is consumed by animals, either wildlife or livestock, and is also used by the local communities for food, energy or medicinal purposes. The open ecosystems in tropical northern Africa are of great importance to the economy, food security and human well-being. Plant diversity within these ecosystems is driven by many factors, such as the climate, soil, fire and grazing. Plant diversity in these regions is being greatly impacted by global change. Historical data are needed to understand species and diversity dynamics. The database presented in this work is the collection of numerous datasets gathered over the years. At the outset, the FLOTROP database was intended to store all the data recorded by IEMVT (French institute for tropical livestock production and veterinary medicine, now part of CIRAD) in the sixties. In 1993, CIRAD and CNRS set up a project to collect a maximum of botanical surveys within these regions. Two software packages were created by the team to manage the database. The first was created under DOS then a second was started under Windows using the APL DYALOG language. Data were collected and scanned between 1993 and 2016. We extracted the data from the software version. We shared the species occurrences recorded in the database on the Tela Botanica website (http://www.tela-botanica.org/) and on the GBIF database.

InfoTrie’s HR/Career Pages Jobs Data provide strategic insights for HR, recruiting, and job market analysis with unparalleled depth and global reach. Transform your talent acquisition and workforce planning with actionable data tailored to your needs.

Key features:

1. Global Coverage: Access data from over 300K+ company career pages, offering a worldwide view of hiring trends and job market dynamics.
2. Rich Data Set: Includes 150+ attributes, such as salaries, locations, skill taxonomy, workplace diversity data, employee data, and recruiting insights to drive smarter decisions.
3. Refresh Schedule: Data is refreshed daily or on custom schedules, ensuring your insights are always up to date for market forecasting and analysis.
4. Integration & Customization: Seamlessly integrate job posting data with your systems via APIs, SFTP, and custom workflows.
5. Advanced Search Capabilities: Easily refine listings by industry, role, location, salary, workplace diversity, and more to align with your unique goals.
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Gain actionable insights into global job markets, stay competitive, and optimize workforce diversity and planning strategies.

Book a meeting here https://calendar.app.google/4UEQVKsuSiTM4JxB8 to gain immediate access to up-to-date job market data.

Visit more details on the website via https://infotrie.com/job-postings-data-page/

This dataset contains several keyword searches that we used to assess the state of community ecology in its exploration of species coexistence. Several data files and R code are included along with a readme file that explains methods and the contents of each file.

Aim: The island species-area relationship (ISAR) and its theoretical justifications assume the area of islands to be homogeneous across an archipelago, which is generally not the case. We compare the performance of models that adjust or substitute for island area with measures of habitat diversity, island age, and resource availability to account for the violation of this assumption. We further compare the performance of models for two taxonomic groups. Location: Five hotspot archipelagos (Azores, Galapagos, Hawaii, Cape Verde, Canary Islands). Taxa: Vascular plants and birds. Methods: We used the mathematical framework of the power law to compare relevant models, treating the one containing only area as a null model against which others were compared. Data was collated from the GIFT database and from the literature. Models were compared using linear regression within archipelagos and via mixed effect models with archipelago as a random effect. Results: Weighting of island area by habit..., Data was collected from published sources and the current upload is collected analysis relating to the paper JBI-21-0522. Regression analysis was performed using R packages. , Required software: R (preferrably R studio).

This dataset presents a novel an index for measuring diversity in the public administration in 37 European countries between 2008 and 2018, accounting for gender, age, nationality, ethnicity and disability.