In this twelfth episode, we discuss the roles of successful data science and informatics leaders in academia. We review a paper on the challenges and opportunities of electronic health records and informatics for dealing with national emergencies. We discuss preparing graduate students for non-academic careers. We also review a number of interesting news items.

Links are available on the show's site :http://bmipodcast.org/podcast/episode-11-leadership-roles/

In this twelfth episode, we discuss the roles of successful data science and informatics leaders in academia. We review a paper on the challenges and opportunities of electronic health records and informatics for dealing with national emergencies. We discuss preparing graduate students for non-academic careers. We also review a number of interesting news items.

Links are available on the show's site :http://bmipodcast.org/podcast/episode-11-leadership-roles/

In this eleventh episode, we discuss federated versus centralized data for collaborative projects across institutions. We review a paper using a federated model for data analytics to address the COVID-19 pandemic and provide advice to junior faculty for hiring graduate students and postdocs. We also review a number of interesting news items.

Links to the resources and news pieces mentioned in the episode are on the podcast site: http://bmipodcast.org/podcast/episode-10-federated-data/

In this eleventh episode, we discuss federated versus centralized data for collaborative projects across institutions. We review a paper using a federated model for data analytics to address the COVID-19 pandemic and provide advice to junior faculty for hiring graduate students and postdocs. We also review a number of interesting news items.

Links to the resources and news pieces mentioned in the episode are on the podcast site: http://bmipodcast.org/podcast/episode-10-federated-data/

In this tenth episode, we feature guest host Dr. Kevin Johnson from Vanderbilt University who leads a discussion on the value of leadership coaching. We review a paper about teaching artificial intelligence to medical students and provide some tips for science communication via twitter during our training segment. We also review a number of news items.

In this tenth episode, we feature guest host Dr. Kevin Johnson from Vanderbilt University who leads a discussion on the value of leadership coaching. We review a paper about teaching artificial intelligence to medical students and provide some tips for science communication via twitter during our training segment. We also review a number of news items.

In this ninth episode, we discuss the analysis of COVID-19 testing and surveillance data with guest host Dr. Jeff Morris from the University of Pennsylvania who is the founder and author of the popular COVID-19 Data Science blog. We also discuss several high-profile papers retracted from the New England Journal of Medicine and The Lancet for possible data fraud. Finally, we discuss different philosophical approaches to running a research lab. We include our usual news and items of interest.

Show notes and links

http://bmipodcast.org/podcast/episode-8-covid-19-data-science/

In this ninth episode, we discuss the analysis of COVID-19 testing and surveillance data with guest host Dr. Jeff Morris from the University of Pennsylvania who is the founder and author of the popular COVID-19 Data Science blog. We also discuss several high-profile papers retracted from the New England Journal of Medicine and The Lancet for possible data fraud. Finally, we discuss different philosophical approaches to running a research lab. We include our usual news and items of interest.

Show notes and links

http://bmipodcast.org/podcast/episode-8-covid-19-data-science/

In this eighth episode, we discuss the pros and cons of participating in research consortia. Our journal club segment features a paper from Nature Machine Intelligence on machine learning analysis of COVID-19 data. We present the sci-kit learning resource in our software segment and present a nice source of open data for COVID-19. We also cover a number of news items. Finally, we discuss 10 tips for giving a great scientific presentation in our training segment.

Show notes:

http://bmipodcast.org/podcast/episode-7-informatics-consortia/

In this eighth episode, we discuss the pros and cons of participating in research consortia. Our journal club segment features a paper from Nature Machine Intelligence on machine learning analysis of COVID-19 data. We present the sci-kit learning resource in our software segment and present a nice source of open data for COVID-19. We also cover a number of news items. Finally, we discuss 10 tips for giving a great scientific presentation in our training segment.

Show notes:

http://bmipodcast.org/podcast/episode-7-informatics-consortia/