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Caroline Gao

Publications and source records attributed to Caroline Gao.

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Ethical considerations when planning, implementing and releasing health economic model software: a new proposal

Most health economic analyses are undertaken with the aid of computers. However, the research ethics of implementing health economic models as software (or computational health economic models (CHEMs)) are poorly understood. We propose that developers and funders of CHEMs should adhere to research ethics principles and pursue the goals of: (i) socially acceptable user requirements and design specifications; (ii) fit for purpose implementations; and (iii) socially beneficial post-release use. We further propose that a transparent (T), reusable (R) and updatable (U) CHEM is suggestive of a project team that has largely met these goals. We propose six criteria for assessing TRU CHEMs: (T1) software files are publicly available; (T2) developer contributions and judgments on appropriate use are easily identified; (R1) programming practices facilitate independent reuse of model components; (R2) licenses permit reuse and derivative works; (U1) maintenance infrastructure is in place; and (U2) releases are systematically retested and deprecated. Few existing CHEMs would meet all TRU criteria. Addressing these limitations will require the development of new and updated good practice guidelines and investments by governments and other research funders in enabling infrastructure and human capital.

econ.GN

Toward an Actionable Socioeconomic-Aware HCI

Although inequities for individuals in different socioeconomic situations are starting to capture widespread attention, less attention has been given to the socioeconomic inequities that saturate socioeconomic-diverse individuals' user experiences. To enable HCI practitioners to attend to such inequities and avoid unwittingly introducing them, in this paper we consider a wide body of research relevant to how an individual's socioeconomic status (SES) can affect their user experiences with technology. We synthesize this foundational research to produce a core set of 6 evidence-based SES "facets" (attribute types and value ranges) that directly relate to user experiences for individuals in different SES strata. We then harness these SES facets to produce actionable paths forward -- including a new structured method we call SocioeconomicMag -- by which HCI researchers and practitioners can bring new socioeconomic-aware practices into their everyday HCI work.

cs.HC