{"query_echo":{"q":"","filters":{"analysis_type":["workforce analysis"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'workforce analysis' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":3,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=workforce+analysis","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"catf-000400","url":"https://climateinsightsdirectory.org/document/catf-000400","title":"Taking Stock of Energy and Climate Policy Since 2020","publisher":{"name":"Clean Air Task Force","organization":"clean-air-task-force"},"document_type":"report","language":"en","date_published":"2026-04-16","source_url":"https://www.catf.us/resource/taking-stock-us-energy-climate-policy-since-2020/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The report examines the shift in U.S. energy policy from 2020 to 2026, highlighting a conflict between the second Trump administration's efforts to roll back clean energy initiatives and a persistent bipartisan congressional consensus on 'clean firm' energy. While the One Big Beautiful Bill Act (OBBBA) significantly curtailed Inflation Reduction Act (IRA) tax credits and rescinded grant funding, key credits for nuclear, geothermal, and carbon capture remained. The administration has aggressively targeted wind, solar, and electric vehicles through deregulation and the cancellation of billions in obligated funding, while the federal workforce has seen a significant loss of STEM expertise. However, the report notes that annual appropriations processes have partially mitigated the administration's requested spending cuts, and billions in prior clean energy outlays remain in place.","ai_generated":true,"unit":"catf-000400#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The second Trump administration has aggressively targeted specific clean energy sectors, including wind, solar, electric vehicles, hydrogen, and building decarbonization, while showing more support for 'clean firm' electricity sources such as geothermal, nuclear fission, and fusion energy.","ai_generated":true,"unit":"catf-000400#insight-1","date_modified":"2026-10-23"},{"text":"The One Big Beautiful Bill Act (OBBBA) significantly reduced the financial scope of the Inflation Reduction Act's (IRA) clean energy tax credits, with the CBO estimating a $500 billion reduction in support over ten years. However, the Joint Committee on Taxation estimates that key credits still retain approximately 60% of their 2023 value, totaling about $280 billion through 2034.","ai_generated":true,"unit":"catf-000400#insight-2","date_modified":"2026-10-23"},{"text":"The Trump administration has attempted to cancel approximately $23 billion in federal funding across 650 clean energy projects where funds were obligated but not yet outlaid. This includes the termination of 321 financial awards totaling roughly $8 billion, primarily affecting the Office of Clean Energy Demonstration (42%) and the Grid Deployment Office (27%).","ai_generated":true,"unit":"catf-000400#insight-3","date_modified":"2026-10-23"},{"text":"There has been a significant loss of technical expertise within the federal government, with more than 10,000 STEM PhDs leaving since the start of the second Trump administration, disproportionately affecting the EPA, DOE, and NOAA.","ai_generated":true,"unit":"catf-000400#insight-4","date_modified":"2026-10-23"},{"text":"Despite the administration's requests for deep spending cuts in the FY26 President's Budget Request, Congress used the bipartisan appropriations process to maintain higher funding levels, though the FY26 Energy & Water bill still included a topline cut of about $1 billion for DOE clean energy priorities.","ai_generated":true,"unit":"catf-000400#insight-5","date_modified":"2026-10-23"},{"text":"The administration has pursued a comprehensive deregulatory agenda, including proposed rules to remove obligations from the Greenhouse Gas Reporting Program (GHGRP), repealing emissions standards for vehicles and fossil fuel-fired power plants, and issuing stop-work orders for offshore wind projects.","ai_generated":true,"unit":"catf-000400#insight-6","date_modified":"2026-10-23"},{"text":"The Loan Programs Office (LPO) was restructured into the Energy Dominance Financing Office via the OBBBA, shifting its focus toward critical minerals, electricity supply, and grid reliability, which now allows for the support of fossil-powered electricity generation.","ai_generated":true,"unit":"catf-000400#insight-7","date_modified":"2026-10-23"},{"text":"Between FY2021 and FY2025, the DOE obligated approximately $32.56 billion in clean energy spending, with $9.77 billion actually outlaid to recipients. These outlays, which increased from $668 million in FY21 to $3.63 billion in FY25, are considered difficult for the government to recover.","ai_generated":true,"unit":"catf-000400#insight-8","date_modified":"2026-10-23"}],"climate_tags":["geothermal energy","carbon capture and storage","wind power","solar energy","electric vehicle","building emissions","greenhouse gas emissions","offshore wind power","critical minerals"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["policy assessment","financial analysis","workforce analysis"]},{"id":"catf-000988","url":"https://climateinsightsdirectory.org/document/catf-000988","title":"Economic Indicators Report The Ironbound Community Newark, New Jersey","publisher":{"name":"Clean Air Task Force","organization":"clean-air-task-force"},"document_type":"report","language":"en","date_published":"2024-06","source_url":"https://cdn.catf.us/wp-content/uploads/2024/07/12131555/ironbound-economic-report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Ironbound community in Newark, New Jersey, is a vibrant immigrant neighborhood facing significant economic distress, characterized by low median household incomes, high housing cost burdens, and a job market dominated by low-paying service and logistics roles. While employment and average wages have grown since 2015, the community suffers from a mismatch where high-paying jobs are largely filled by non-resident commuters, and residents often work in low-barrier 'Tier 3' occupations that do not provide a living wage. The area also faces environmental burdens from chemical contamination and diesel truck traffic, compounding the social and economic isolation of its residents.","ai_generated":true,"unit":"catf-000988#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Ironbound community is characterized by a high proportion of immigrants and multilingual residents; 39 percent of the 69,400 residents are non-U.S. citizens and 16 percent are naturalized U.S. citizens.","ai_generated":true,"unit":"catf-000988#insight-1","date_modified":"2026-10-23"},{"text":"Ironbound exhibits high levels of economic distress compared to New Jersey, primarily driven by high poverty levels, joblessness, and uninsured rates, with the highest distress found in areas bordered by Interstate 95 and US-1 Local highways.","ai_generated":true,"unit":"catf-000988#insight-2","date_modified":"2026-10-23"},{"text":"Median annual household incomes in Ironbound are significantly lower than state and national averages, with North Ironbound at $48,863 and South Ironbound at $25,042, both of which fall below the living wage for two-child families in Essex County.","ai_generated":true,"unit":"catf-000988#insight-3","date_modified":"2026-10-23"},{"text":"Housing affordability is a major challenge, with 48 percent of both renters and homeowners spending at least 35 percent of their income on housing costs.","ai_generated":true,"unit":"catf-000988#insight-4","date_modified":"2026-10-23"},{"text":"There is a significant mismatch between local residents and the available job market; non-resident workers outnumber resident workers by at least three to one, and residents frequently commute out of the region for lower-paying jobs.","ai_generated":true,"unit":"catf-000988#insight-5","date_modified":"2026-10-23"},{"text":"The local economy is dominated by the Tourism, Hospitality, and Recreation and Logistics industry clusters, which provide the most jobs but often fail to meet the annual salary standards required to sustain local families.","ai_generated":true,"unit":"catf-000988#insight-6","date_modified":"2026-10-23"},{"text":"Job quality is generally low, with 50 percent of jobs categorized as 'Tier 3' (lowest paying, lowest barrier to entry). While overall employment grew by 8.5 percent between 2021 and 2022, this growth was largely driven by these low-paying Tier 3 roles.","ai_generated":true,"unit":"catf-000988#insight-7","date_modified":"2026-10-23"},{"text":"Educational attainment in the community is low, with 75 percent of residents holding a high school diploma or less, and only 12 percent holding a bachelor's degree or higher, compared to 42 percent for New Jersey residents.","ai_generated":true,"unit":"catf-000988#insight-8","date_modified":"2026-10-23"},{"text":"The community faces severe environmental and health burdens resulting from a history of chemical manufacturing and current heavy diesel truck traffic serving the Port of Newark.","ai_generated":true,"unit":"catf-000988#insight-9","date_modified":"2026-10-23"}],"climate_tags":["environmental justice","workforce development","climate justice"],"geography_discussed":["New Jersey","United States","Essex County"],"frame_perspective":[],"analysis_type":["economic assessment","demographic analysis","workforce analysis"]},{"id":"ucs-001074","url":"https://climateinsightsdirectory.org/document/ucs-001074","title":"Strengthening and Diversifying the Federal STEM Workforce","publisher":{"name":"Union of Concerned Scientists","organization":"union-of-concerned-scientists"},"document_type":"report","language":"en","date_published":"2023-11","source_url":"https://www.ucs.org/sites/default/files/2023-11/Strengthening-and-Diversifying-the-Federal-Stem-Workforce%20%281%29.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The report analyzes the federal STEM workforce, noting that while staffing levels at agencies like the EPA and FWS returned to 2017 levels by 2022, significant capacity gaps and burnout persist. It highlights systemic underrepresentation of BIPOC, LGBTQQIA, and disabled individuals, rooted in historical injustices and maintained by barriers such as pay gaps, hostile work environments, and inefficient hiring processes. The authors recommend expanding partnerships with Minority-Serving Institutions (MSIs), reforming compensation to be competitive with the private sector, and institutionalizing DEIA through data-driven accountability and inclusive organizational cultures.","ai_generated":true,"unit":"ucs-001074#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Federal scientific capacity has seen a slow recovery; while STEM personnel numbers at six major agencies increased from 2017 to 2022, the Environmental Protection Agency (EPA) and Fish and Wildlife Service (FWS) required five years to return to 2017 staffing levels.","ai_generated":true,"unit":"ucs-001074#insight-1","date_modified":"2026-10-23"},{"text":"Despite returning to previous staffing levels, federal scientists report insufficient capacity to meet missions, with 88 percent of those noticing staff departures or hiring freezes agreeing that a lack of capacity hinders science-based missions.","ai_generated":true,"unit":"ucs-001074#insight-2","date_modified":"2026-10-23"},{"text":"Racial and ethnic disparities persist across agencies; in 2022, FWS and NOAA showed an overrepresentation of White-identifying individuals at 85 percent, while the CDC and FDA had stronger BIPOC representation at 43 percent and 52 percent, respectively.","ai_generated":true,"unit":"ucs-001074#insight-3","date_modified":"2026-10-23"},{"text":"Federal agencies rely heavily on non-Minority-Serving Institutions (non-MSIs) for recruitment; a sample of 500 federal scientists across five agencies revealed that only 11 percent obtained their highest degree from an MSI.","ai_generated":true,"unit":"ucs-001074#insight-4","date_modified":"2026-10-23"},{"text":"Federal STEM workers face a compensation gap compared to the private sector, with private sector STEM workers earning approximately $2,600 more annually on average, and a 24 percent lower average salary for federal workers with professional or doctoral degrees.","ai_generated":true,"unit":"ucs-001074#insight-5","date_modified":"2026-10-23"},{"text":"Scientists from historically marginalized groups face systemic barriers, including a lower likelihood of having their research ideas adopted by the mainstream and higher rates of workplace discrimination; 62 percent of Black, 44 percent of Latine, and 42 percent of Asian Americans reported racial or ethnic discrimination at STEM workplaces.","ai_generated":true,"unit":"ucs-001074#insight-6","date_modified":"2026-10-23"},{"text":"The report identifies significant barriers for LGBTQQIA and disabled scientists, noting that LGBTQQIA scientists are 30 percent more likely to experience professional devaluation and harassment, while disabled scientists face ableist design structures in laboratories.","ai_generated":true,"unit":"ucs-001074#insight-7","date_modified":"2026-10-23"},{"text":"Political interference and the politicization of DEIA efforts have negatively impacted workforce morale, exemplified by a 2020 executive order that stopped DEIA trainings and the relocation of USDA research divisions which caused the proportion of Black staff at NIFA to drop from 47 percent to 19 percent.","ai_generated":true,"unit":"ucs-001074#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate finance"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["workforce analysis","policy review","demographic study"]}]}