Industrial Ecologists
Life, Physical, and Social Science Occupations- O*NET-SOC कोड
- 19-2041.03
Apply principles and processes of natural ecosystems to develop models for efficient industrial systems. Use knowledge from the physical and social sciences to maximize effective use of natural resources in the production and use of goods and services. Examine societal issues and their relationship with both technical systems and the environment.
पेशों के नाम और कार्य-विवरण प्रकाशित रूप में अंग्रेज़ी में दिखाए जाते हैं। लेबल, जिनमें कार्य-प्रकार भी शामिल हैं, अनूदित हैं।
AI एक्सपोजर
- डेटा स्रोत: BLSप्रकाशन: 2026-08
बहुत उच्च· सापेक्ष
कमचार सापेक्ष श्रेणियाँबहुत उच्चव्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
चार सापेक्ष बैंड (कम / मध्यम / उच्च / बहुत उच्च)
BLS रोज़गार पूर्वानुमान तालिका के 831 विस्तृत व्यवसायों के आधार पर। मान NEM (नेशनल एम्प्लॉयमेंट मैट्रिक्स) कोड के स्तर पर दिया जाता है, इसलिए एक ही NEM कोड वाले व्यवसायों को वही बैंड मिलता है
- डेटा स्रोत: Anthropicप्रकाशन: 2026-03
0.055
0.000यहाँ दिए गए मानों की सीमा0.745व्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
प्रेक्षित एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1
O*NET कार्यों पर मैप किया गया
SOC 2018 व्यवसाय के स्तर पर प्रकाशित; समान SOC 2018 कोड वाले हर O*NET व्यवसाय को यही मान मिलता है
- डेटा स्रोत: ILOप्रकाशन: 2025
0.38
0.09यहाँ दिए गए मानों की सीमा0.70व्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
जेनरेटिव AI एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1
ISCO-08 इकाई समूह के स्तर पर प्रकाशित मान। अमेरिकी श्रम सांख्यिकी ब्यूरो (BLS) की आधिकारिक क्रॉसवॉक तालिकाओं (ISCO-08 से 2010 SOC, 2010 SOC से 2018 SOC) को प्रकाशित रूप में लागू करके इस व्यवसाय से जोड़ा गया है; यह मिलान पूर्ण या आंशिक है
यह स्रोत किस प्रकार का आँकड़ा प्रकाशित करता है
BLS की श्रेणी सापेक्ष रैंक है, निरपेक्ष स्तर नहीं, और यह प्रथम-हस्त माप भी नहीं है: यह कई प्रकाशित अध्ययनों में व्यवसाय की पर्सेंटाइल रैंकों को चार बैंडों में बांटती है। यह रोज़गार या वेतन का पूर्वानुमान नहीं है, न अपनाए जाने की संभावना, और यह स्वचालन और संवर्धन में अंतर नहीं करती।
AI एक्सपोज़र (OpenAI रूब्रिक)
38 मूल्यांकित कार्य · β ≥ 0.5 वाले 38 कार्य (100.0%)
β = प्रत्यक्ष एक्सपोजर (E1) + 0.5 × उपकरण उपलब्ध होने पर एक्सपोजर (E2), स्रोत रिपॉजिटरी की परिभाषा के अनुसार।
- स्रोत इकाई: O*NET 27.2 के कार्य → O*NET 31.0 का पेशा कोड
- सभी मूल्यांकित कार्य O*NET 31.0 की कार्य-सूची में हैं।
- स्रोत
- OpenAI "GPTs are GPTs" exposure rubric
- संस्करण
- gh-main-0471612
- लाइसेंस
- MIT License, Copyright (c) 2024 OpenAI
कार्य
O*NET® 31.0 Database के कार्य-विवरण, मुख्य कार्य पहले।
| कार्य | प्रकार | β (OpenAI) |
|---|---|---|
| Review industrial practices, such as the methods and materials used in construction or production, to identify potential liabilities and environmental hazards. | मुख्य | 0.5 |
| Research sources of pollution to determine environmental impact or to develop methods of pollution abatement or control. | मुख्य | 0.5 |
| Plan or conduct studies of the ecological implications of historic or projected changes in industrial processes or development. | मुख्य | 0.5 |
| Plan or conduct field research on topics such as industrial production, industrial ecology, population ecology, and environmental production or sustainability. | मुख्य | 0.5 |
| Monitor the environmental impact of development activities, pollution, or land degradation. | मुख्य | 0.5 |
| Identify or develop strategies or methods to minimize the environmental impact of industrial production processes. | मुख्य | 0.5 |
| Investigate the impact of changed land management or land use practices on ecosystems. | मुख्य | 0.5 |
| Create complex and dynamic mathematical models of population, community, or ecological systems. | मुख्य | 1 |
| Carry out environmental assessments in accordance with applicable standards, regulations, or laws. | मुख्य | 0.5 |
| Build and maintain databases of information about energy alternatives, pollutants, natural environments, industrial processes, and other information related to ecological change. | मुख्य | 0.5 |
| Forecast future status or condition of ecosystems, based on changing industrial practices or environmental conditions. | मुख्य | 0.5 |
| Recommend methods to protect the environment or minimize environmental damage from industrial production practices. | मुख्य | 0.5 |
| Develop alternative energy investment scenarios to compare economic and environmental costs and benefits. | मुख्य | 0.5 |
| Analyze changes designed to improve the environmental performance of complex systems and avoid unintended negative consequences. | मुख्य | 0.5 |
| Apply new or existing research about natural ecosystems to understand economic and industrial systems in the context of the environment. | मुख्य | 0.5 |
| Conduct environmental sustainability assessments, using material flow analysis (MFA) or substance flow analysis (SFA) techniques. | मुख्य | 0.5 |
| Evaluate the effectiveness of industrial ecology programs, using statistical analysis and applications. | मुख्य | 0.5 |
| Examine local, regional, or global use and flow of materials or energy in industrial production processes. | मुख्य | 0.5 |
| Examine societal issues and their relationship with both technical systems and the environment. | मुख्य | 0.5 |
| Identify environmental impacts caused by products, systems, or projects. | मुख्य | 0.5 |
| Identify or compare the component parts or relationships between the parts of industrial, social, and natural systems. | मुख्य | 0.5 |
| Identify sustainable alternatives to industrial or waste-management practices. | मुख्य | 0.5 |
| Perform analyses to determine how human behavior can affect, and be affected by, changes in the environment. | मुख्य | 0.5 |
| Perform environmentally extended input-output (EE I-O) analyses. | मुख्य | 0.5 |
| Prepare plans to manage renewable resources. | मुख्य | 0.5 |
| Prepare technical and research reports, such as environmental impact reports, and communicate the results to individuals in industry, government, or the general public. | मुख्य | 1 |
| Promote use of environmental management systems (EMS) to reduce waste or to improve environmentally sound use of natural resources. | मुख्य | 0.5 |
| Redesign linear, or open-loop, systems into cyclical, or closed-loop, systems so that waste products become inputs for new processes, modeling natural ecosystems. | मुख्य | 0.5 |
| Review research literature to maintain knowledge on topics related to industrial ecology, such as physical science, technology, economy, and public policy. | मुख्य | 0.5 |
| Translate the theories of industrial ecology into eco-industrial practices. | मुख्य | 0.5 |
| Investigate accidents affecting the environment to assess ecological impact. | पूरक | 0.5 |
| Investigate the adaptability of various animal and plant species to changed environmental conditions. | पूरक | 0.5 |
| Provide industrial managers with technical materials on environmental issues, regulatory guidelines, or compliance actions. | पूरक | 0.5 |
| Develop or test protocols to monitor ecosystem components and ecological processes. | पूरक | 0.5 |
| Conduct scientific protection, mitigation, or restoration projects to prevent resource damage, maintain the integrity of critical habitats, and minimize the impact of human activities. | पूरक | 0.5 |
| Conduct applied research on the effects of industrial processes on the protection, restoration, inventory, monitoring, or reintroduction of species to the natural environment. | पूरक | 0.5 |
| Conduct analyses to determine the maximum amount of work that can be accomplished for a given amount of energy in a system, such as industrial production systems and waste treatment systems. | पूरक | 0.5 |
| Research environmental effects of land and water use to determine methods of improving environmental conditions or increasing outputs, such as crop yields. | पूरक | 0.5 |
व्यावसायिक जानकारी
स्रोत और श्रेय
This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.
Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.
O*NET OnLine: 19-2041.03 Industrial Ecologists
KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.