№ files_lp_3_process_9_23542
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This article discusses the concept of "observability bias" in instructional leadership, highlighting how educational practices are often misjudged by easily observable behaviors rather than more complex, cognitive aspects of teaching.
Year:
2023
Author:
Justin Baeder
Institution:
The Principal Center
Target Audience:
Educational administrators, instructional leaders
Document Type:
Article
Topic:
Observability bias in teaching practice
Region/City:
United States
Period of Application:
Ongoing
Date of Approval:
N/A
Date of Changes:
N/A
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2026
Region / city:
Global
Topic:
IBM Instana, Observability, Host Agent Installation, Web Monitoring
Document Type:
Course Description
Organization:
IBM
Author:
IBM Training
Target Audience:
IT professionals, System administrators
Period of validity:
Ongoing
Approval Date:
N/A
Modification Date:
N/A
Year:
2026
Region / City:
Goa, India
Subject:
Energy-aware Federated Learning Training Process
Document Type:
Technical Report
Organization:
3GPP
Author:
Ericsson
Target Audience:
Operators, AI/ML developers, Federated Learning participants
Approval Date:
09 February 2026
Agenda Item:
6.20.2
Spec:
3GPP TR 28.882
Version:
0.2.0
Work Item:
FS_AIML_MGT_Ph3
Context Description:
Technical report addressing a new use case for energy-aware Federated Learning (FL) in ML training, outlining changes in AI/ML sustainability and system requirements.
Organization:
Nubank
Author:
Felipe
Position of author:
Senior Analytics Engineer
Topic:
Data platform observability and analytics infrastructure
Technologies mentioned:
Apache Spark, Apache Pinot, Kafka
Document type:
Conference presentation transcript
Industry:
Financial technology
Scale of data platform:
Over 100,000,000 customers and more than 300,000 datasets
Processing model:
Daily batch ETL and distributed data processing
Key concepts:
Spark observability, distributed processing metrics, data democratization, ETL monitoring
Infrastructure components:
Spark jobs, internal data platform services, Kafka messaging, analytical database for metrics
Data volume:
Petabytes of data processed daily
Purpose:
Monitoring and analysis of Spark job execution metrics and ETL platform performance
Note:
7/8/2016
Year:
2016
Region / City:
Not specified
Topic:
Gender bias in student evaluations of teaching (SETs), race/ethnicity bias, bias against women in academia
Document Type:
Annotated bibliography
Institution:
Not specified
Author:
Shari Stone-Mediatore
Target Audience:
Researchers, educators, academic professionals
Period of Action:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2023
Region / city:
Global
Theme:
Research methodology, Bias, Data management
Document Type:
Guideline
Organization / Institution:
Zenodo
Author:
Unknown
Target Audience:
Researchers, data managers, academic institutions
Action Period:
Ongoing
Approval Date:
Unknown
Date of Changes:
Unknown
Year:
2019
Region / City:
N/A
Topic:
Risk of bias, prediction model studies
Document Type:
Research Tool / Guideline
Organization / Institution:
N/A
Author:
N/A
Target Audience:
Researchers, Systematic Reviewers
Period of Application:
Ongoing
Approval Date:
N/A
Modification Date:
N/A
Year:
2017
Region / City:
Amsterdam, The Netherlands
Subject:
Alcohol addiction, Cognitive Bias Modification (CBM), transcranial direct current stimulation (tDCS)
Document Type:
Research Article
Author:
Tess E. den Uyl, Thomas E. Gladwin, Mike Rinck, Johannes Lindenmeyer, Reinout W. Wiers
Target Audience:
Researchers, clinicians, and professionals in addiction and neuromodulation
Period of Action:
2017
Approval Date:
N/A
Date of Changes:
N/A
Author:
Desman Wilson
Institution:
The University of North Carolina at Chapel Hill
Degree:
Bachelor of Arts with Honors in Psychology
Academic Term:
Spring 2020
Document Type:
Undergraduate Honors Thesis
Field of Study:
Psychology
Research Topic:
Algorithmic bias and emotional outcomes
Methodology:
Experimental study with between-subjects design
Sample Size:
453 participants (28 excluded for failed attention checks)
Participant Recruitment Platform:
Amazon Mechanical Turk
Conditions:
Algorithm condition; Human condition
Keywords:
Bias; discrimination; algorithms; human-robot interaction
Date:
April 13, 2023
Time:
11:00 am – 12:00 pm
Location:
Monroe County Public Library Room 2A and Zoom
Facilitator:
Rebecca Nunley
Notes:
Melanie Vehslage
Organizing Body:
Monroe County Community Health Improvement Plan (CHIP)
Workgroup:
Inequity, Discrimination and Bias (IDB)
Participating Organizations:
Monroe County Health Department (MCHD); IU Health Bloomington; Monroe Fire Protection District; CJAM; BTCC; Youth Services Bureau (YSB); Bloomington Police Department; Anthem Medicaid; Housing and Eviction Prevention Project; Bloomington Human Rights Commission
Primary Topics:
FindHelp program claim rate goals; Helping Bloomington Monroe platform; DEIA tools and resources; implicit bias training; complaint filing resources; community accountability principles; SMART goals planning
Goal Deadline:
December 31, 2024
Next Meeting Date:
May 8, 2023
Year:
2020
Region / City:
Canada
Topic:
Systemic Racism, Wrongful Convictions, Bias, Criminal Justice
Document Type:
Report, Webinar Resources
Organ / Institution:
Federal-Provincial-Territorial Heads of Prosecutions Committee
Author:
Bruce MacFarlane, Joshua Sealy-Harrington, Reakash Walters, Anthony Morgan, Lorna Fadden, Amanda Carling, Kenneth Jackson
Target Audience:
Legal Professionals, Law Students, Criminal Justice Reform Advocates
Period of Validity:
Not specified
Approval Date:
December 10, 2020
Date of Changes:
Not specified
Context:
A report and webinar resources detailing systemic racism, biases, and their impact on wrongful convictions, with contributions from multiple legal professionals and experts.
Year:
2024
Region / city:
Seattle, WA
Topic:
Behavioral Risk Factor Surveillance, Transgender Reproductive Health
Document type:
Research Article
Organization / institution:
University of Washington, Fred Hutchinson Cancer Research Center
Author:
Diana M Tordoff, Michele Andrasik, Anjum Hajat
Target audience:
Researchers, Public Health Professionals, Transgender Health Advocates
Period of validity:
Not specified
Approval date:
Not specified
Date of amendments:
Not specified
Year:
2023
Region / city:
NERC region
Topic:
Frequency Response, Compliance Monitoring
Document Type:
Compliance Audit Worksheet
Organization:
NERC
Author:
Compliance Enforcement Authority
Target Audience:
Registered entities and auditors
Period of Validity:
[Insert period]
Approval Date:
[Insert date]
Modification Date:
[Insert date]
Context:
A compliance audit worksheet for entities subject to the BAL-003-2 reliability standard, evaluating frequency response and bias setting in energy systems.
Name:
3.5 Practice - Sampling and Surveys Forms of Bias
Subject:
Statistics
Topic:
Sampling and survey bias
Type of document:
Educational worksheet
Educational level:
Secondary or introductory college statistics
Number of questions:
12
Concepts covered:
Undercoverage, Nonresponse bias, Response bias, Wording effects
Geographic references:
United States; El Paso, Texas
Related activities:
Survey design and bias analysis exercises
Purpose:
Analysis of bias in sampling and survey methods
Type of document:
Supplemental table
Subject:
Risk of bias assessment
Scope:
Included studies in a systematic review
Assessment domains:
Selection bias; Performance bias; Attrition bias; Detection bias; Statistical analysis; Applicability to patient group
Checklist items:
1.2–1.14
Studies assessed:
59 studies (Abelha 2012 – Yoshitaka 2013)
Study design categories:
Cohort
Rating symbols:
●; ○; ?; n/a
Quality grading:
++; +; −
Publication period of included studies:
2001–2016
Year:
2024
Region / city:
Australia, Canberra
Theme:
Health equity, gender and sex bias in healthcare
Document type:
Literature review
Organization:
Department of Health and Aged Care, Commonwealth of Australia
Authors:
Dr Maggie Kirkman, Dr Tomoko Honda, Professor Jane Fisher, Steve McDonald, Lorena Romero, Professor Sally Green, Professor Karen Walker-Bone, Professor Ingrid Winship
Target audience:
Health policymakers, researchers, clinicians
Scope:
Analysis of sex and gender disparities in Australian health system, including barriers, clinical guidelines, interventions, and data gaps
Publication date:
2024
References included:
Yes, with appendices covering methodology, data extraction, and guidelines
Language:
English
Format:
Report with summary, recommendations, results, and appendices
Contextual description:
Systematic review and analysis of published studies, policies, and guidelines to identify and address sex and gender bias in healthcare delivery and research in Australia.
Year:
2026
Region / City:
N/A
Topic:
Galaxy Clustering, Astrophysics
Document Type:
Research Paper
Institution:
3D-HST Survey, CANDELS
Author:
Alena Casella, Cullen Abelson, William Bowman, Donghui Jeong, Robin Ciardullo
Target Audience:
Researchers, Astrophysicists
Period of Activity:
N/A
Approval Date:
N/A
Date of Changes:
N/A
Year:
2023
Region / city:
International
Topic:
Diagnostic accuracy studies
Document type:
Guidance document
Author:
Unknown
Target audience:
Researchers, healthcare professionals
Effective period:
Ongoing
Approval date:
Not specified
Date of changes:
Not specified
Note:
Year
Topic:
Educational Strategies, Mathematics
Document Type:
Instructional Guide
Target Audience:
Educators, Teachers
Note:
Year