TLS: Revealing Innovation Pathways

新兴科学技术的创新潜力巨大，但也充满了不确定性。选择适当的创新途径是至关重要的，以便发展追求在技术方面以及满足市场和社会需要方面最有希望的应用。该项目开发了一个方法框架和相关工具来分析nest，以帮助政策制定者和研发经理做出决策。特别关注的是分子诊断和纳米增强药物输送系统、知识价值：该项目建立在先前推进科学、技术和创新（STI）数据、STI指标和科学制图的文本挖掘工作的基础上（见www.idr.gatech.edu）。这些方法和工具已被证明在研究评估，特别是跨学科研究中是有用的。该项目调整了这些工具，允许使用定量和定性方法对技术应用进行前瞻性分析，以阐明正在研究的新兴技术的潜在创新途径。所使用的特殊方法是一种多视角映射方法，它将科学发展与推动技术创新的愿景联系起来。更广泛的影响这项研究的设计是为了吸引一系列利益相关者、政策制定者和研发经理——特别是那些从事nest和生物医学研究的人。其中一个目标是通过提供新颖和可访问的生物医学研究地图（基于NIH描述符）和技术地图（基于专利类别）来增强创新过程的视觉表现，使用户能够在STI景观中定位研发活动。NEST的两个案例研究改善了将生物医学研究转化为医疗保健成果的过程。总之，这些工具帮助科学决策者和技术管理者设计和执行有效的技术发展战略。

The innovation potential of New and Emerging Sciences and Technologies (NESTs) is great, but also fraught with uncertainty. The choice of appropriate innovation pathways is crucial so that development pursues the most promising applications, both in technological terms and to meet market and societal needs. This project develops a methodological framework and associated tools to analyze NESTs to help policy makers and R&D managers make decisions. The particular focus is on Molecular Diagnostics and Nano-enhanced Drug Delivery Systems, Intellectual Merit: The project builds on previous work advancing text mining of Science, Technology & Innovation (STI) data, STI indicators, and science mapping (see www.idr.gatech.edu). These approaches and tools have proven useful in research assessments, particularly of interdisciplinary research. The project adapts these tools to permit prospective analyses of technological applications using both quantitative and qualitative approaches to illuminate potential innovation pathways for emerging technologies under study. The particular approach used is a multi-perspective mapping methodology that connects the scientific developments and the visions that drive technological innovation. Broader impactThe design of the study is to engage a range of stakeholders, policy-makers, and R&D managers -- specifically those engaged with NESTs and in biomedical research. One aim is to enhance visual representations of innovation processes by providing novel and accessible biomedical research maps (based on NIH descriptors) and technology maps (based on patent classes) to enable users to locate R&D activities in the STI landscape. The two NEST case studies improve the translation of biomedical research into healthcare gains. In sum, the tools help science policy-makers, and technology managers devise and execute effective technology development strategies.