Welcome to the fifty seventh ever issue of Monday Morning Data Science from the Fred Hutch Data Science Laboratory. We are excited to show you what we have been working on (Fresh from the Lab), plus links that we think you would be interested in (Our Weekly Bookmarks Bar). Part of the purpose of this newsletter is to start conversations, so if you have a question or there is something you would like to share with us please let us know by responding directly to this email.
Fresh from the Lab
[Job Posting: Data Scientist II/III] The Data Scientist II/III will support the Fred Hutch clinical data ecosystem for translational research via clinical natural language processing (NLP) to promote the use of textual information in electronic health records (EHRs) and other real-world data for observational studies. This position involves implementing rule-based and statistical/machine-learning NLP systems for electronic phenotyping and cohort identification, transformation of the output of NLP tools into structured fields and common data models, collaborations with translational researchers to guide development NLP systems and use of RWD, and building data stewardship and management skills across Fred Hutch.
Our Weekly Bookmarks Bar
[Article: The AI Trust Crisis] This article discusses the current challenges and concerns surrounding the trustworthiness of artificial intelligence (AI) systems. The piece delves into the various issues contributing to a growing lack of trust in AI, including biases in training data, the opacity of complex AI models, and the potential for malicious use of AI technology. The author emphasizes the need for increased transparency, accountability, and ethical considerations in the development and deployment of AI systems to address the trust crisis. The article provides valuable insights into the ongoing dialogue about the ethical implications of AI and calls for a concerted effort to build AI systems that prioritize transparency and fairness.
[Article: Data Science - A Systematic Treatment] In the dynamic realm of data science, our recent strides are just the tip of the iceberg! Despite the growing popularity of this field, it remains in its infancy, demanding collective efforts to shape its future. From revolutionizing health sciences with epidemic tracking to informing financial decisions through data analysis, and creating customer service chatbots via speech recognition, data science has showcased its prowess. Yet, the complete impact is yet to unfold, calling for significant enhancements in foundational aspects and integrated processes for insightful data utilization. Unfortunately, the current trend of isolated developments within subfields hampers large-scale progress, resulting in a lag in incorporating groundbreaking technologies.
As always you can contact us by replying directly to this email, you can contact the Data Science Lab at data@fredhutch.org, or you are welcome to join us on the Fred Hutch Data Slack Workspace. For more information about the Fred Hutch Data Science Lab, visit our website: https://hutchdatascience.org/. See you next week!
- The Fred Hutch Data Science Laboratory