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Practical pursuit in stem cell biology: Innovation, translation, and incomplete theorization
1Graduate School of Science and Technology Policy, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea.
Studies in History and Philosophy of Science
|November 26, 2022
Summary
Induced pluripotent stem cell (iPSC) research faced challenges due to conflicting values. This study examines how non-epistemic factors influenced the pursuit-worthiness of iPSC technology in translational science.
Area of Science:
- Stem cell biology
- Translational science
- Biomedical innovation policy
Background:
- Induced pluripotent stem cell (iPSC) research emerged as an alternative to human embryonic stem cell research.
- iPSC research faced ethical and regulatory hurdles, influencing its initial assessment.
- Public policy framed biomedical innovation, impacting the practical pursuit of iPSCs.
Purpose of the Study:
- To analyze the practical pursuit-worthiness of induced pluripotent stem cell (iPSC) research.
- To investigate the influence of non-epistemic values on translational science assessment.
- To understand how conflicting values shape the appraisal of emerging science and technology.
Main Methods:
- Case study analysis of therapeutic stem cell biology.
- Examination of heuristic assessment and public policy framing of innovation.
- Appraisal of epistemic standards versus non-epistemic values in research pursuit.
Main Results:
- Non-epistemic values significantly impacted the assessment of iPSC research pursuit-worthiness.
- The framing of innovation in public policy led to "incompletely theorized" approaches, masking value conflicts.
- Conflicts between epistemic standards and non-epistemic values arose during preclinical pursuit.
Conclusions:
- Non-epistemic values can impede or shape the direction of translational science.
- Background assumptions about innovation influence practical research decisions.
- Conflicting values necessitate careful appraisal of emerging science, technology, and policy for effective resource allocation.
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