№ files_lp_4_process_3_127613
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10-month academic role on a funded project analyzing social, ethical, and technical aspects of Covid-19 data-driven interventions, including survey development, qualitative research, and report contributions.
Year:
2021
Institution:
National University of Singapore Law (NUSL)
Faculty/Department:
Faculty of Engineering and Environment / Computer and Information Sciences
Position Type:
Fixed-term Research Fellow
Funding Source:
AHRC
Location:
Remote with limited UK travel
Contract Duration:
10 months (January–October 2021)
Work Hours:
Full-time
Reports To:
Mark Warner, Guangquan Li, Matthew Higgs
Required Qualifications:
PhD or pursuing PhD in HCI, computer science, statistics, data science, or related discipline
Skills:
Survey design, statistical analysis, data protection knowledge, qualitative research, IT proficiency
Experience:
Interdisciplinary research projects, social computing research
Target Audience:
Researchers and practitioners in data-driven Covid-19 approaches
Background Checks:
DBS not required
Price: 8 / 10 USD
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Year:
2021
Geographical Scope:
East, Central and Southern Africa
Countries Involved:
16 COSECSA-affiliated countries
Thematic Area:
Laparoscopic surgery and surgical capacity
Type of Document:
Multinational cross-sectional research study
Organization:
College of Surgeons of East, Central and Southern Africa (COSECSA)
Participating Institutions:
Accredited training hospitals affiliated with COSECSA
Authors:
Martin Nyundo; Nathalie Umugwaneza; Abebe Bekele; Laston Chikoya; Julien Gashegu; Olivier Detry
Affiliations:
University Teaching Hospital of Kigali; University of Rwanda; University of Global Health Equity; Levy Mwanawasa Medical University; CHU Liege, University of Liege
Study Period:
January 2021 – October 2021
Sample Size:
94 surgeons from 44 hospitals
Ethical Approval:
COSECSA Institutional Review Board (IRB Registration Number: 00011122)
Funding:
None
Methodology:
Structured questionnaire-based survey with quantitative and qualitative components
Target Population:
Surgeons working in COSECSA-accredited training hospitals
Key Topics:
Equipment availability; surgical volume; insurance coverage; training capacity; barriers to laparoscopy
Document type:
Instructional protocol
Assessment framework:
DIBELS
Educational context:
Literacy instruction
Intended users:
Teachers and instructional leaders
Professional setting:
Professional learning communities (PLC)
Education levels:
Pre-K through Grade 4+
Instructional focus:
Reading development and phonological skills
Process structure:
Eight-step data analysis cycle
Example data source:
Nonsense Word Fluency (NWF)
Referenced organization:
Springboard Collaborative
Components included:
Protocol steps, think-aloud example, teacher planning sheet
Year:
2017
Region / City:
N/A
Subject:
Integrated Plan, Student Success, Data Analysis
Document Type:
Official Report
Agency/Institution:
Chancellor’s Office
Author:
N/A
Target Audience:
Community Colleges, Educational Administrators
Effective Period:
2017-2019
Approval Date:
N/A
Date of Last Update:
N/A
Year:
2021
Region:
Chakwal District, Punjab, Pakistan
Topic:
Groundwater Resource Assessment
Document Type:
Research Article
Institution:
Department of Geography / Environmental Studies
Authors:
Kanwal Ishfaq, Ehtisham Wajid
Methodology:
GIS-based Analytical Hierarchy Process (AHP) and Weighted Overlay Analysis
Validation:
Well depth observations, R² = 0.764
Study Area:
Pothohar Plateau, semi-arid region
Groundwater Potential Zones:
Very High, High, Moderate, Low, Very Low
Climate:
Semi-arid, variable rainfall
Key Variables:
Lithology, slope, drainage density, soil type, land use/land cover, rainfall
End-users:
Water resource managers, policymakers, researchers
Scope:
Regional assessment of groundwater recharge potential
Year:
2023
Region / City:
Washington, DC
Topic:
Data-driven program improvement
Document type:
Worksheet
Organization / Institution:
Mathematica
Author:
Hannah McInerney, Annie Buonaspina
Target Audience:
HMRF grant recipients, data managers
Effective period:
Not specified
Approval date:
Not specified
Modification date:
Not specified
Author:
Melissa Medica
Institution:
Kennesaw State University
Supervising Professor:
Dr. Matthew Wilson
Type of Document:
Capstone Project Proposal
Date:
December 2019
Revision Date:
December 2020
Setting:
Allgood Elementary School, Dallas, Georgia
School District:
Paulding County School District
School Status:
Title I School
Student Population:
914 students (Pre-K through Fifth Grade)
Demographics:
57% White/Caucasian, 31% Black/African-American, 10% Hispanic, 7% Multiracial, 1% Asian or Pacific Islander
Free and Reduced Lunch Rate:
59.4%
Disability Population:
13%
English Language Learners:
6%
Focus Area:
Data-Driven Instruction and Educational Technology
Technology Platform:
Microsoft Excel
Project Scope:
Teacher coaching and implementation of collaborative grade-level data spreadsheets
Purpose:
Improvement of student data organization and instructional decision-making
Assessment Context:
Georgia Milestones Assessment and CCRPI Reports
Year:
2018
Region:
Kimberley, Western Australia, Australia
Topic:
Environmental health and Aboriginal health
Document type:
Presentation
Organization:
Kimberley Aboriginal Health Planning Forum (KAHPF)
Author:
Prof Jeanette Ward
Target audience:
Health professionals, policymakers, Aboriginal communities
Period covered:
2014–2018
Date presented:
2018
References:
Holman CDJH 2014; KAHPF 2018; McMullen et al. 2016; O’Donnell et al. 2016; WA Health 2019; Ward 2018
Methodology:
Evaluation of environmental attributable fractions (KEAF), survey and expert consensus
Key findings:
Estimation of hospitalisation costs for preventable diseases with environmental causes, importance of housing conditions
Presentation type:
PowerPoint
Affiliation:
Nulungu Research Institute / Nirrumbuk Environmental Health & Services
Note:
Year
Region / City:
South Sudan
Topic:
Education, Crisis, Data Systems
Document Type:
Proposal
Organization:
UNESCO
Year:
2025
Region / City:
Urbana-Champaign, IL
Theme:
Transportation Infrastructure, Bridge Durability, Environmental Stressors
Document Type:
Research Report
Organization / Institution:
University of Illinois at Urbana-Champaign
Author:
Eun Jeong Cha
Target Audience:
Transportation Agencies, Civil Engineers, Environmental Researchers
Period of Action:
2023-2025
Approval Date:
N/A
Date of Changes:
N/A
Year:
2026
Region / City:
Kaiserslautern, Germany; Natal, Brazil
Subject:
Digital Twin modeling in manufacturing
Document Type:
Research article
Institution:
University of Kaiserslautern-Landau; Federal University of Rio Grande do Norte
Author:
Marcel Wagner, Fábio J. P. Sousa, Matthias Klar, Jan C. Aurich
Target Audience:
Researchers and professionals in manufacturing and digital modeling
Keywords:
Hybrid models, Physics-based models, Data-driven models, Digital Twins, Model performance comparison
Case Study:
Stoneware floor tile polishing process
Performance Metrics:
R² comparison among PBM, DDM, and hybrid models
Abstract Summary:
Comparison of model approaches under identical input resources, demonstrating hybrid models’ superior predictive performance
Publication Date:
2026
Email Contact:
[email protected]
Provides:
Theoretical framework linking model quality to knowledge, expertise, and data quality
Year:
2022
Region / City:
Ohio, USA
Topic:
Data-driven models, Machine learning, Model validation
Document Type:
Research paper
Author:
Dr. Anthony Sgambellone
Target Audience:
Model developers, Data scientists, Researchers
Period of validity:
N/A
Approval Date:
18 August 2022
Modification Date:
N/A
Year:
2023
Region / City:
Americas
Theme:
Data Analytics, Product Management, AI Impact
Document Type:
Webinar Transcript
Organization:
Mixpanel
Author:
Michael Armstrong, Blake Kerensky, Patrick Mackle
Target Audience:
Product and Data Teams
Period of Validity:
Event Date
Approval Date:
2023-12-10
Date of Changes:
None