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Towards Responsible Data-driven Decision Making in Score-Based Systems
2019
IEEE Data Engineering Bulletin
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Human decision makers often receive assistance from data-driven algorithmic systems that provide a score for evaluating the quality of items such as products, services, or individuals. ...
The scores can be used for different evaluation purposes such as ranking or classification. In this paper, we view the design of these scores through the lens of responsibility. ...
Final Remarks In this article we explained our results towards responsible data-driven decision making in score-based systems. ...
dblp:journals/debu/AsudehJS19
fatcat:hfrvdqq3ojdtpblymatk6wbrhe
TransFAT: Translating Fairness, Accountably and Transparency into Data Science Practice
2019
International Conference on Advanced Information Systems Engineering
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I then highlight some ongoing work that makes part of the Data, Responsibly project, aiming to operationalize fairness, diversity, accountability, transparency, and data protection at all stages of the ...
In this paper I discuss an ongoing regulatory effort in New York City, where the goal is to develop a methodology for enabling responsible use of algorithms and data in city agencies. ...
Towards a Data Transparency Framework New York City is the first municipality in the United States to attempt to regulate the use of data-driven algorithmic decision making in government. ...
dblp:conf/caise/Stoyanovich19
fatcat:7wcfl2te4je6taezot2pwvxgf4
Progress towards clinically informative data-driven decision support tools in psychotherapy
2021
The Lancet Digital Health
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Progress towards clinically informative data-driven decision support tools in psychotherapy Timely identification of patients receiving psychotherapy who are elevated risk of a poor outcome can enable ...
Prospective evaluation of a clinical decision support system in psychological therapy. J Consult Clin Psychol (in press). ...
doi:10.1016/s2589-7500(21)00042-x
fatcat:j2evvvdr3nhqblhns6bcz5v73a
Data-driven asset management in urban water pipe networks: a proposed conceptual framework
2021
Journal of Hydroinformatics
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This study proposes a framework to enable increased data-driven asset management in pipe networks. ...
levels, which may hinder the implementation of data-driven asset management. ...
data IAM decision-making. ...
doi:10.2166/hydro.2021.068
fatcat:txijwvkf4zgt5f2e5awt4awalm
The 'golden view': data-driven governance in the scoring society
2019
Internet Policy Review
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Drawing on the first comprehensive investigation into the uses of data analytics in UK public services, this article outlines developments and practices surrounding the upsurge in data-driven forms of ...
Described by practitioners as a way to achieve a 'golden view' of populations, we argue that data systems need to be situated in this context in order to understand the wider politics of such a 'view' ...
fit a shift towards data-driven governance. ...
doi:10.14763/2019.2.1413
fatcat:oen7ce7okvavridhndd5vgvzky
Not making the transition to college: School, work, and opportunities in the lives of American youth
2011
Social Science Research
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These youth had both low math test scores and low family income, and thus closely align with regression-based analyses on college enrollment that emphasize academic and economic constraints as the central ...
The heterogeneous motives of these youth suggest that postsecondary decisions are not always guided by academic and economic barriers, but sometimes driven by previous work experience and perceptions of ...
Without data that chronicles the decision-making process as it unfolds across a long period of time, a very tall order for large-scale survey data collection endeavors, we are only able to make use of ...
doi:10.1016/j.ssresearch.2011.02.003
fatcat:rwwcwphzdva57igz5rwgua35ju
Urban Data Science Education: A Key Actor towards Improving Data-Driven Policy-Making for Solving Urban Problems
2022
Journal of Education Society and Behavioural Science
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Data along with spatial enhancement can be the driving factor towards improving data-driven policy-making for solving urban problems in smart cities. ...
With the drive to mobilize more education towards urban data science and analytics, generated data can be effectively utilized to make informed and evidence-based decisions. ...
ACKNOWLEDGEMENT The authors gratefully acknowledge the support from the Summer-Winter School (SWS) of CEPT University, Ahmedabad, India, the school's students, and the Committee on Data for Science and ...
doi:10.9734/jesbs/2022/v35i530421
fatcat:zi275ubo2bhi3k6k37mpabpbme
FACTORS RELATED TO DATA USE IN INSTRUCTIONAL LEADERSHIP: THE IMPORTANCE OF DATA LITERACY IN LEADERSHIP EDUCATION
2015
International Journal of Teaching and Education
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& Perreault, 2002) because the response of principals' data-driven decision making depends on their comfort and proficiency in the use of data (Mathews, 2002) . ...
Efficient and timely processing and disseminating of data in school systems and states provide the necessary capacity for principals to make data-driven instructional decisions (Thorn, 2002) . ...
Appendix A: Survey Instrument: Data-Driven Decision making Index for Instructional Leadership Please read each statement carefully. ...
doi:10.20472/te.2015.3.1.003
fatcat:blaruocs3nha3piddkjyo2bfy4
Causal effect of racial bias in data and machine learning algorithms on user persuasiveness discriminatory decision making: An Empirical Study
[article]
2022
arXiv
pre-print
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The paper bridges the gap across the harm caused in establishing poor customer trustworthiness due to an inequitable system design and provides strong support for researchers, policymakers, and data scientists ...
The motivation of the study is to investigate how AI systems imbibe bias from data and produce unexplainable discriminatory outcomes and influence an individual's articulateness of system outcome due to ...
articulate post-deployment impact in decision-making scenarios. ...
arXiv:2202.00471v2
fatcat:powtrxoyxbaihjnn4tmwiat6tq
Editorial
2021
Journal of Extreme Anthropology
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in the name of efficiency, cost-effectiveness, data-driven decision making and forecasting, and streamlining of the workflow in public administration and services; in this sense, the technologies embody ...
work becomes transformed into big data which in turn enables data-driven governance. ...
doi:10.5617/jea.9038
fatcat:zxny5kyuejbhzpjvi5extunesm
Trust, Automation Bias and Aversion: Algorithmic Decision-Making in the Context of Credit Scoring
2021
Interdisciplinary Description of Complex Systems
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Algorithmic decision-making (ADM) systems increasingly take on crucial roles in our technology-driven society, making decisions, for instance, concerning employment, education, finances, and public services ...
This article aims to identify peoples' attitudes towards ADM systems and ensuing behaviours when dealing with ADM systems as identified in the literature and in relation to credit scoring. ...
More recently, automation complacency has been observed in decision-making systems based on machine learning. ...
doi:10.7906/indecs.19.4.7
fatcat:nxcaous2qnh6halpuvk4dkopk4
The Political Dilemmas of Formative Assessment
2010
Exceptional children
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formative-assessment data, for analysis, and for responses to the data. ...
The literature base on using formative assessment for instructional and intervention decisions is formidable, but the history of the practice of formative assessment is spotty. ...
Despite the language about "data-driven decision making," is the public ready for a school system whose core values and practices revolve around decision making? ...
doi:10.1177/001440291007600305
fatcat:hjmq5muofzhl3okclxyd2w4ev4
An ethical decision-making framework with serious gaming: a smart water case study on flooding
2021
Journal of Hydroinformatics
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The methodology and 'proof-of-concept' system presented here are a step toward building a framework to engage people with algorithmic decision making in cases where ethical preferences are considered. ...
Likewise, humans will continue to cede direct decision-making powers to decision-support technologies, e.g. data algorithms. ...
The application of AI, ML, and data-driven techniques to water sector problems does not alone make a system 'smart'. ...
doi:10.2166/hydro.2021.097
fatcat:4tm7wdskhbgx7barfjidnlt5oe
Teachers' Attitude to Test-driven Accountability; Developing a Comprehensive Approach to Assessment
2012
Procedia - Social and Behavioral Sciences
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In Iran, like most other educational systems, a test-driven accountability system (TDAS) has been used. Teachers believe that TDAS is not a comprehensive assessment tool for this purpose. ...
Quantitative data showed that teachers had slightly positive attitude toward TDAS. ...
They may also be involved in school decision making (market) (p. 3). ...
doi:10.1016/j.sbspro.2012.12.097
fatcat:vbjjjuv4pjgofapqgehbrm3ofy
Strengthening country-led water and sanitation services monitoring and data use for decision-making: lessons from WaterAid experience in four countries
2022
H2Open Journal
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and data use to inform decision-making in WASH service delivery. ...
To fulfil these human rights and drive progress towards universal and sustainable access to WASH services, government service-level monitoring processes and data use are vital for effective decision-making ...
ACKNOWLEDGEMENTS Funding for WaterAid to support the monitoring systems interventions described in this paper was provided by the Water Supply and Sanitation Development Programme (a World Bank concession ...
doi:10.2166/h2oj.2022.028
fatcat:3ucp4ux2drejjjgfo5nrqdlz3i
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