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SSP On-Demand: Webinars

AI: The Scholarly Ally – From Open Science to Global Dissemination

59:39

October 2024, Jamie Devereaux, Daniel Berger, Deepika Bajaj, Marianne Calilhanna

Artificial Intelligence is impacting the world of scholarly publishing from all angles: shaping research and scientific methods to writing manuscripts to peer review and publication. Today we hear from 3 distinct voices across the scientific publishing spectrum—a professor and principal investigator leading AI in open science and governance methods using AI; an industry service provider on AI technologies combined with XML and production; and a publisher’s perspective on AI in publishing with an eye on the author experience. The group will also discuss their views on what the near future will hold.
On-Demand Meetings

Tools for Early Career Professionals: Connect With Confidence

58:56

2022 | Jun 02, Emily Davies, Maria Stanton, Rachel E. Scott, Gregg Taylor, Sarah Andrus, Marianne Calilhanna, Whitney Rauenhorst, Qiana Johnson, Ashley Warren

Publishing can be a tough industry to break into, and scholarly publishing can feel particularly insular and unwelcoming to newcomers. In response, many industry organizations provide mentorship/development programs to support early-career professionals. This session will provide viewers with the information and tools they need to identify and participate in mentoring programs and strategies to develop a replicable framework for career development. To frame our conversation, we will review SSP's Professional Survey and Skills Map to help viewers understand how to use the map. Panelists representing several mentorship programs will discuss how to get the best out of a mentor/mentee relationship, discuss approaches to developing your "elevator pitch," and share ideas for less formal networking. Viewers will hear from individuals who have participated in various programs to help further demystify how mentoring works and how it helped their careers. The session will run as a lightly scripted live podcast. || Learning Level: Mixed-Learning