Faced with dwindling revenues due to Plan S and digital disruption, academic societies, and publishers are under tremendous pressure to innovate. The problem is that their marketing teams are predominantly still catering to Baby Boomers and Gen X, whereas their real target audience is millennials and Gen Z researchers, who are tech-savvy, digitally inclined, and mobile-first. To meet these early-career researchers where they are, publisher and society marketing teams need to understand their digital consumption preferences and then use strategies like multiformat and omnichannel digital outreach that have proven immensely successful in other content-centric industries. In this session, we will share an in-depth analysis of how early career researchers across geographies are using social media for science communication. Further, panelists will share tactical marketing strategies and real case studies to help publishers and societies reel in early-career researchers and see their membership and engagement grow like never before. || Speakers: Nikesh Gosalia; Charlie Rapple; Jennifer Regala

Usage of Large Language Models (LLMs) and Generative AI is widespread, but building this first generation relied on large-scale scraping from scholarly publishers. As the AI market matures, LLM companies are beginning to understand that the most valuable use cases, which have real business and societal impact, depend on outputs that are accurate, reliable, and trustworthy. Delivering that level of quality requires training content that is curated, verified, and contextualized, placing scholarly publishers in a stronger, more strategic position as use of LLMs moves from novelty to infrastructure. In this webinar, we’ll put forward a deliberately utopian vision of collaboration between publishers and LLM companies, asking what it would take to move from friction to partnership. Together, we will set out the conditions, incentives, and shared responsibilities that will make high-quality, publisher-anchored AI not just possible, but sustainable. We’ll examine: Where publisher content delivers unique, defensible value in AI workflows How trust, provenance, and curation become competitive advantages in LLM outputs What meaningful collaboration between publishers and AI companies could look like in practice The strategic choices publishers face now to shape the next phase of AI development This session will think practically about the steps needed to get from today's tensions to tomorrow’s opportunities.