Session Details: Publish and Fund Your Research

AI-enabled research tools are rapidly changing how scientists search the literature, synthesize information, draft research materials, and manage scholarly workflows. For many researchers, the challenge is no longer simply whether to use AI, but how to determine which tools are appropriate for different tasks, how to evaluate the quality of AI-generated outputs, and how to use these technologies responsibly while preserving accuracy, transparency, and scholarly judgment.

This program will provide a practical introduction to AI tools designed to support literature review, writing, discovery, and research productivity. Through short presentations and demonstrations, participants will explore how AI can help researchers navigate large bodies of scientific information, identify relevant sources, summarize research landscapes, generate insights, and streamline aspects of the research process. The session will also address practical considerations for responsible adoption, including appropriate use cases, limitations, source transparency, confidentiality, citation practices, and the continued importance of researcher oversight.

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By the end of this program, participants will be better able to:

Describe how AI-enabled tools can support literature review, writing, and research productivity workflows
Identify appropriate use cases for AI tools in searching, summarizing, organizing, and interpreting scholarly information
Evaluate the strengths, limitations, and potential risks of using AI-generated outputs in research and scholarly communication
Apply practical strategies for critically reviewing AI-assisted literature summaries, search results, and writing support
Recognize responsible-use considerations related to accuracy, source transparency, citation practices, confidentiality, and researcher oversight

This program is designed for:

Graduate students, postdoctoral researchers, and early-career scientists seeking practical guidance on AI tools for research workflows
Faculty, research scientists, and clinicians interested in using AI tools to support literature review, writing, and research productivity
Researchers preparing manuscripts, grant proposals, reviews, presentations, or other scholarly materials
Scientists who want to better understand the capabilities and limitations of AI-enabled literature search and discovery tools
Research administrators, librarians, program staff, and research support professionals who advise scientists on scholarly tools and workflows
Participants with limited prior experience using AI tools who want an accessible introduction to current platforms and responsible-use considerations

Category	Series Rate	Individual Event Rate
Member: Student*	$25	$10
Nonmember: Student*	$65	$35
Member	$50	$20
Nonmember	$130	$50

Scientific publishing, once treated as a relatively quiet final step in the research process, has become one of the places where the future of science is being contested. Questions of evidence, trust, access, credit, ethics, business models, and technological change now converge in the systems that determine how research is evaluated, disseminated, discovered, and preserved.

This virtual event will examine how scientific publishing is changing and why those changes matter for anyone who produces, evaluates, funds, communicates, or relies on research. The discussion will consider the evolving roles of journals, editors, publishers, scholarly societies, and indexing platforms in maintaining the integrity and usefulness of the scientific record. It will also address how artificial intelligence is already affecting manuscript preparation, editorial screening, reviewer selection, literature search, research synthesis, and public access to scientific knowledge.

The session will also offer practical guidance for researchers seeking to publish their work effectively and responsibly, including how editors assess submissions, why manuscripts are rejected before peer review, how to choose journals strategically, how to respond constructively to reviewer feedback, and how to avoid common mistakes that weaken otherwise publishable work.

By the end of this program, participants will be better able to:

Describe how open access, AI, peer review pressures, preprints, paper mills, and other forces are reshaping scientific publishing
Explain the roles that journals, editors, publishers, scholarly societies, and indexing platforms play in maintaining trust in the scientific record
Recognize how AI is affecting manuscript preparation, editorial screening, reviewer selection, literature search, and research synthesis
Select appropriate journals and positioning manuscripts for successful review
Identify common reasons manuscripts are rejected before peer review
Respond constructively to reviewer feedback and editorial decisions
Avoid common publishing mistakes that can weaken otherwise publishable research

This program is designed for:

Graduate students preparing to publish their first or early research papers
Postdoctoral researchers seeking to publish more strategically and effectively
Early-career faculty and independent investigators navigating a changing publishing landscape
Scientists and research professionals who want to better understand current challenges in scientific publishing
Science communicators, funders, nonprofit professionals, and others who rely on the integrity and accessibility of the scientific record

Douglas Braaten, PhD, EMBA
Douglas Braaten, PhD, EMBA, is Chief Scientific Officer and Editor-in-Chief of 'Annals of the New York Academy of Sciences' at The New York Academy of Sciences, where he oversees the strategic development and planning of the Academy’s scholarly scientific publishing portfolio. Before moving into scientific editorial leadership, Dr. Braaten spent 23 years conducting basic research in immunology, HIV, gamma-herpesvirus biology, 'Drosophila' genetics, and cell biology, publishing more than 20 primary research articles. He began his editorial career at 'Nature Immunology' in 2005 and joined the Academy in 2009. Dr. Braaten earned his PhD in microbiology from Columbia University College of Physicians and Surgeons, a BA in biology from Washington University in St. Louis, and dual EMBA degrees from UCLA and the National University of Singapore.

Category	Series Rate	Individual Event Rate
Member: Student*	$25	$10
Nonmember: Student*	$65	$35
Member	$50	$20
Nonmember	$130	$50

As competition for traditional research funding continues to increase, many academic researchers are exploring industry partnerships as a complementary source of support for their research programs. While companies invest billions of dollars annually in external research and development collaborations, most scientists receive little formal training in how industry identifies, evaluates, and funds academic research partnerships. As a result, promising opportunities for collaboration often go unrealized.

This introductory workshop provides researchers with a practical framework for understanding how industry approaches research partnerships and what companies look for when evaluating potential collaborators. Participants will examine common barriers that hinder academia–industry engagement, including differences in communication styles, incentives, and expectations surrounding intellectual property and publication. Through real-world examples and actionable strategies, attendees will learn how to identify industry-relevant applications of their research, articulate the value of their expertise to non-academic audiences, and begin developing a plan for industry outreach. Participants will leave with a clearer understanding of how to position their research for collaboration and funding opportunities that advance both scientific and organizational goals.

This interactive workshop will be conducted via Zoom meeting. Participants will be encouraged to engage in practical discussions and activities.

This program is designed for:

Graduate students interested in understanding how academic research can translate into industry collaborations and funding opportunities
Postdoctoral researchers seeking to diversify potential funding sources and expand the impact of their research beyond academia
Early-career faculty members building research programs and exploring partnerships that can support long-term funding goals
Established investigators interested in strengthening industry engagement and developing new avenues for research support
Research administrators, technology transfer professionals, and university partnership staff who support academia–industry collaborations
Scientists and scholars across disciplines who want to better understand how industry evaluates, funds, and collaborates with academic researchers

David Giltner, PhD
Dr. David Giltner bridges the academia-industry divide from both sides. Having spent 25+ years developing cutting-edge technologies into commercial products, he understands exactly what companies need from scientific expertise.

As a hiring manager, he's interviewed hundreds of PhDs for industry positions, seeing firsthand what separates successful candidates from the rest. Through his company TurningScience, he's taught thousands of researchers to translate their scientific value into industry and business terms.

David holds seven patents and is a published author of three books for scientists who want to increase their impact by engaging with industry.

Category	Series Rate	Individual Event Rate
Member: Student*	$25	$10
Nonmember: Student*	$65	$35
Member	$50	$20
Nonmember	$130	$50

November 5, 2026 · December 9, 2026 · February 25, 2027

Virtual Webinar Series | Individual Event Registration Available