• EBSCO Information Services pursues generative Artificial Intelligence (AI) opportunities

EBSCO Information Services, …, is embracing the power of generative artificial intelligence (AI). Recognizing the transformative potential of generative AI in the realm of academic research and libraries, EBSCO is making proactive strides to incorporate AI into the company’s products, undertaking AI pilot projects in specific environments with the goal of amplifying the effectiveness of research. …”

MORE LIBRARY AND PUBLISHING NEWS FROM A VARIETY OF SOURCES

• Open Access and Sales Revenue Can Co-Exist

• ALA Executive Director Tracie D. Hall Set to Receive the Freedom of Speech and Expression Award from the Roosevelt Institute

• Apply for ALA Carnegie-Whitney Grant by November 3

• U.S. Census Releases 2020 Data for Nearly 1,500 Detailed Race and Ethnicity Groups, Tribes and Villages

• ChatGPT Usage is Rising Again as Students Return to School (via Bloomberg)

• Andrea Jackson Gavin Appointed Inaugural Program Director of the HBCU Digital Library Trust

• Penn State Leads Big Ten Academic Alliance Project on Open Homework Systems (via Penn State Libraries)

• New PEN America Report Finds 33% Jump in School Book Bans

CONFERENCES, MEETINGS & WEBINARS

Text and Data Mining
Online Training Series (NISO)
Thursdays, 11:00 am–12:30 pm EDT (US/Canada)
October 12–December 7, 2023

Scope

According to the course description “this comprehensive course is designed to equip students with the essential skills and knowledge required to undertake text and data mining tasks. Throughout this course, students will be introduced to key concepts and tools of text and data mining, including data types, data structures, data pre-processing, text processing, data mining techniques, text mining techniques, and advanced topics in both data and text mining. Each session will include a Python component, discussing the importance of Python and its libraries in handling various aspects of text and data mining. Students are not expected to know Python, rather they will be introduced to how Python can solve key issues so that they are aware of its capabilities. By the end of the course, participants will have a solid understanding of text and data mining concepts, be proficient in using Python for text and data mining tasks, and be able to apply these skills to real-world library applications and case studies. …”