The Corresponding Author

The Corresponding Author
  • 5.0 (6)
  • SCIENCE

The Corresponding Author podcast (https://twitter.com/CorrespondAuth) with Stephanie Hicks (https://twitter.com/stephaniehicks) and John Muschelli (https://twitter.com/StrictlyStat). We discuss academic data science and issues related to that, such as funding, promotion, hiring, and what that even means.

  1. 03/23/2021

    Episode 19 - Academic Data Science Portfolios

    Stephanie and John talk about the academic data science portfolios. What are they? How are they different than industry data science portfolios or more traditional academic portfolios? Also check out the bloopers at the end! Some good links about portfolios and examples are: https://davidventuri.com/portfolio, https://www.dataquest.io/blog/build-a-data-science-portfolio/. We discuss data driven curriculum vitae (CV), including the package by Nick Strayer: https://github.com/nstrayer/datadrivencv. Additional tools are the scholar (https://cran.r-project.org/package=scholar), gcite (https://cran.r-project.org/package=gcite), and rscopus (https://cran.r-project.org/package=rscopus) packages. Disclaimer: John wrote gcite and rscopus. We acknowledge the impetus for gcite was from this blog post by Jeff Leek: https://simplystatistics.tumblr.com/post/13203811645/an-r-function-to-analyze-your-google-scholar. See John and Stephanie's CVs at https://johnmuschelli.com/CV and https://www.overleaf.com/read/zkhjvkdbbpvv. Follow us at https://twitter.com/stephaniehicks, https://twitter.com/strictlystat, and https://twitter.com/correspondauth or email us at thecorrespondingauthor@gmail.com.

    1h 14m

  2. 02/17/2021

    Episode 18: Academic Software Development

    Stephanie and John talk about what is an "Academic Data Science Portfolio". While there is a lot of great information about what are (i) data science portfolios in industry and (ii) academic portfolios, we aimed to discuss the intersection of these two, why you need one, what goes in it, and so on. Follow us at https://twitter.com/stephaniehicks, https://twitter.com/strictlystat, and https://twitter.com/correspondauth or email us at thecorrespondingauthor@gmail.com.

    1h 1m

  3. 02/04/2021

    Episode 17: Post-docs Part 2: Hiring

    Stephanie and John talk about the hiring process and outreach of a post-doc. Topics include: funding, cold emails, interviews, and negotiable items. We also discuss difficulties in choosing amongst multiple offers. Conferences discussed ENAR: https://www.enar.org/meetings/ JSM: https://www.amstat.org/ASA/Meetings/Joint-Statistical-Meetings.aspx Discussion of the "ideal worker" and a great insight into feeling overwhelmed with duties outside of work is included in: https://www.amazon.com/Overwhelmed-Work-Love-Play-When/dp/1501209981

    45 min

  4. 12/18/2020

    Episode 16: Post-docs Part 1

    Stephanie and John discuss some fun pandemic-changes, like 2 Zoom's at once. John thinks 2 Zooms at once should be a crime. We talk about choosing a post-doc, moving, and the pros and cons of post-docs vs. applying to academic positions vs. industry. We use industry in a large general bucket, though there are many different roles. We talk about how you push on a field of research, similar to the graphic here: http://matt.might.net/articles/phd-school-in-pictures/ Tweet at us at https://twitter.com/strictlystat and https://twitter.com/stephaniehicks and The Corresponding Author: https://twitter.com/correspondauth

    58 min

  5. 10/13/2020

    Episode 15: Promotion Process

    Stephanie and John discuss the paper "Documenting and Evaluating Data Science Contributions in Academic Promotion in Departments of Statistics and Biostatistics" by Lance Waller: https://doi.org/10.1080/00031305.2017.1375988 and https://www.biorxiv.org/node/29325.abstract. We discuss the promotion and tenure process and how they may be a bit different for data scientists in academia. We discuss personal statements, your CV, key publications, recommendation letters. We reference the PPM, which is the policy and procedure manual.

    48 min

  6. 06/02/2020

    Episode 14: Our COVID-19 Episode

    Stephanie and John talk about COVID19/SARS-CoV-2 and all that. This episode was a Zoom video (not just audio!) where we discuss the influx of COVID-related funding. Feel free to reach out to us at https://twitter.com/correspondauth, https://twitter.com/stephaniehicks, https://twitter.com/StrictlyStat, or email us at or thecorrespondingauthor@gmail.com. All podcasts will be available via https://soundcloud.com/the-corresponding-author. Link to "Strict Workflow" (https://chrome.google.com/webstore/detail/strict-workflow/cgmnfnmlficgeijcalkgnnkigkefkbhd?hl=en), which follows the Pomodoro Technique (https://francescocirillo.com/pages/pomodoro-technique).

    48 min

  7. 04/02/2020

    Episode 13: Interview with Dr. Ben Ackerman

    Stephanie and John talk to (newly minted) Dr. Ben Ackerman (https://twitter.com/backerman150), the day after his dissertation defense! They discuss Ben's research in mental health and leadership in graduate student mental health at Johns Hopkins. We wish him the best in his next endeavor! Send messages to https://twitter.com/correspondauth or thecorrespondingauthor@gmail.com for questions or requests for new episodes.

    39 min

  8. 03/09/2020

    Episode 12: Deep Learning and AI Thoughts

    Edited and Mixed by Jessica Crowell, with special thanks. John and Stephanie discuss Deep Learning and AI. They try to map out their definitions of machine learning, deep learning, and AI. John discusses his concern with AI and reproducibility, referencing his blog post https://hopstat.wordpress.com/2020/02/04/the-way-people-use-ai-is-ruining-reproducible-science-again/. They reference Geoff Hinton's prediction about Radiology: https://www.youtube.com/watch?v=2HMPRXstSvQ. We also discuss the Anil Potti Duke reproducibility case briefly: https://www.economist.com/science-and-technology/2011/09/10/an-array-of-errors Follow us at https://twitter.com/CorrespondAuth, https://twitter.com/stephaniehicks, and https://twitter.com/strictlystat.

    33 min
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Ratings & Reviews

5
out of 5
6 Ratings

About

The Corresponding Author podcast (https://twitter.com/CorrespondAuth) with Stephanie Hicks (https://twitter.com/stephaniehicks) and John Muschelli (https://twitter.com/StrictlyStat). We discuss academic data science and issues related to that, such as funding, promotion, hiring, and what that even means.

Information

  • Creator
    The Corresponding Author
  • Years Active
    2019 - 2021
  • Episodes
    19
  • Rating
    Clean
  • Copyright
    © All rights reserved
  • Show Website
    The Corresponding Author