More info to come soon about the speaking slot…

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Visit us at Booth #1 to discover how Digital Science products can enhance your publication strategy for greater efficiency and impact. Mike Taylor, Head of Data Insights at Digital Science will also be presenting a parallel session alongside Bhatia Radika, Global Head of Scientific Communication Excellence at UCB.

Our session

From Metrics to Meaning: Using Advanced Analytics to Evaluate Scientific Exchange

09:55 – 10:40, Wednesday 28 January 2026

Measuring the impact of scientific exchange offers significant benefits for pharmaceutical companies, yet many remain in the dark because their content is not designed for performance tracking at the point of publication. Without the right infrastructure, it is difficult to assess whether materials truly resonate with key stakeholders or contribute to meaningful scientific exchange.

Advanced analytics now make it possible to go far beyond traditional metrics, providing insights into how scientific content is consumed, shared, and perceived across audiences. Persistent identifiers such as DOIs are a crucial enabler of this process, allowing content to be linked with stakeholder-specific engagement data, sentiment signals, and usage patterns that reveal a fuller picture of communication impact.

This workshop will introduce participants to the possibilities of advanced analytics in scientific exchange. Through case-based examples, the session will explore how metrics such as audience segmentation (clinicians, policymakers, patients), sentiment analysis, and geographic reach can illuminate patterns of engagement. Participants will also discuss how to integrate these methods into strategy and planning at different points in the product lifecycle – from launch preparation through to ongoing evaluation of stakeholder engagement.

By the end, attendees will have practical knowledge of how to set up content for tracking and apply advanced data-driven insights, with DOI tagging highlighted as a key step to unlocking these capabilities.

Objectives

• Understand the role of advanced analytics in scientific exchange – Gain awareness of how persistent identifiers such as DOIs enable deeper measurement of engagement, sentiment, and reach across diverse stakeholder groups.

• Apply metrics across the product lifecycle – Learn how to integrate content performance tracking into pre-launch planning, peri-launch execution, and post-launch evaluation to inform strategy and optimize engagement.

• Critically assess and apply insights – Develop the ability to distinguish between data that generates actionable improvements in content strategy versus metrics that add noise, and explore best practices for using analytics to align scientific content with HCP and patient needs.

Meet our speaker

Mike Taylor

Mike is Head of Data Insights at Digital Science, where he works with publishers and research enterprises to understand the impact of their journals and research.

Mike is an innovator in scholarly metrics and social impact. Prior to the development of altmetrics, he was working to understand how researchers were using emerging social media networks and other platforms to exchange information. Mike has conducted much research and has published papers and presentations on altmetrics and other forms of impact. He is working towards a PhD with Mike Thelwall at Wolverhampton University on Open Access publishing and social impact.

He has been involved in many open initiatives during his career, most notably contributing to the architecture of the Orcid repository and API prior to its launch during his time at Elsevier Labs.

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Digital Science is proud to be exhibiting at this year’s vendor showcase taking place on November 4 from 10:00am to 5:30pm at the Charleston Gaillard Center. Stop by Booth 4 to learn more about our products.

Andrew Mckenna-Foster, Head of Pre-Sales Solutions – Academic/Publisher, will be hosting a session on November 5 at 2:40pm in Salon 2 of the Gaillard Center. Please see details of his session below:

Title: Future-Proofing Research Support with Digital Science: A Unified Approach for Librarians and Administrators

Description: The digital environment is transforming how we conduct and share research. The systems we use to support research must evolve to keep pace. In this talk we will show how three powerful tools—Altmetric, Dimensions, and Figshare—work together to future-proof and transform research support from a manual, siloed process into a dynamic, connected workflow.

Dimensions is a linked research database that includes publication, grant, clinical trial, and patent data, with powerful dashboards and APIs for analyzing funding and research output. It enables data-driven analysis and strategic business insights. Altmetric tracks the real-time digital attention research receives from news, social media, policy, and blogs, offering a broader view of a project’s reach and impact beyond academia. Figshare is a repository that provides a discoverable home for all research outputs, from all disciplines, giving visibility to works outside traditional publishing so that they can be tracked by solutions like Dimensions and Altmetric.

While each of these platforms is powerful on its own, when used together they bring adaptability and agility to your research infrastructure, supporting everyone from researchers to administrators. Additionally, these platforms are all part of Digital Science and institutions benefit from cross platform integrations, easier vendor management, and a better overall user experience.

Join us to see examples of how Dimensions, Altmetric and Figshare can be used together to support your institution’s research.

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If you are attending SSP 2026 as well, we would love to see you. Please drop by our booth or make an appointment with one of the team.

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At Digital Science, we empower your strategic CI team by cutting through the immense volume of scientific literature, patent filings, grant data, and clinical trial results. We deliver the precise, actionable intelligence you need to make critical, high-stakes decisions that truly impact your pipeline. Visit us at our booth in the exhibition hall to learn more about how Digital Science’s powerful platforms can enable your team to transform fragmented data into a holistic, forward-looking view of the pharmaceutical landscape.

Session: Extracting Actionable Intelligence from Fragmented Pharma Data: Moving Beyond Data Overload to Strategic Foresight

Wednesday 17 September, 16:10, Track B

Competitive intelligence professionals are drowning in fragmented data. This session offers practical frameworks for integrating and harmonizing disparate pharmaceutical data sources, helping you establish a “single source of truth.” Learn to identify critical intelligence needs and leverage metadata and ontologies to transform noise into actionable insights for robust strategic decision-making.

Meet our speaker

Robert McGrath

Co-founder & CEO, ReadCube

Before joining Digital Science, Robert worked on various software engineering projects at Microsoft, Franklin Templeton Investments, and early-stage software startups. He earned a degree in Computer Science from Harvard University.

ReadCube is a leader in scalable literature workflow solutions enhancing research driven teams by transforming the way scholarly literature is accessed, analyzed, monitored and interpreted. ReadCube’s adaptive suite of solutions, including the Papers reference manager, have helped millions of individuals and thousands of organizations globally. As a Digital Science solution, an AI-focused technology company providing innovative solutions to complex challenges, ReadCube works in partnership to advance global research for the benefit of society.

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The 2025 edition of the summit will convene senior leaders and innovators from higher education institutions and industry to explore approaches within research, policy and workforce development to ensure a secure future for all.

Digital Science is excited to be supporting this year’s event as a Content Partner – look out for more details of our session taking place on 19 November, 15:15 to 15:45, which we will deliver as part of the programme. You can also visit our Academic Sales Team at our stand if you want to find out more about our products and how they help advance research.

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Don’t miss our keynote “AI and the Perpetual Research Cycle: Accelerating Drug Discovery through Enhanced Literature Analysis” by Mark Hahnel, Vice President of Open Research, Digital Science, at 08:30 – 09:00AM. 

Abstract:

This talk explores the transformative impact of Artificial Intelligence (AI) on the research lifecycle, with a focus on its application in accelerating drug discovery. It introduces the concept of the “Perpetual Research Cycle,” where AI facilitates the continuous flow from data to papers and knowledge, driving innovation in scientific research. The discussion will highlight how AI tools enhance critical stages of this cycle, particularly in literature analysis and review, which are fundamental to drug discovery.

The presentation will showcase specific AI-driven solutions that streamline systematic literature reviews, enable continuous monitoring of relevant publications, and enhance the precision and efficiency of data extraction from scientific literature. By automating and accelerating these processes, AI empowers researchers to derive deeper insights from vast amounts of scientific data, ultimately leading to faster and more effective drug discovery. The talk will also address key considerations for responsible AI implementation in research, ensuring trust, accuracy, and reliability in the quest for new therapies.

Meet our speaker

Mark Hahnel

Mark Hahnel is the VP of Open Research at Digital Science. He is the founder of Figshare, which he created whilst completing his PhD in stem cell biology at Imperial College London. He is passionate about open science and the potential it has to revolutionize the research community. Mark sits on the board of DataCite and the advisory board for Directory of Open Access Journals (DOAJ) and re3data.

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From Hashtags to Insights: monitoring congress conversations online

In this session, we will discuss:

• Gain insights into how healthcare professionals, patients, and stakeholders engage in online conversations around medical congresses, uncovering key themes and sentiment trends
• Discover cutting-edge tools and techniques to monitor and analyze online discussions, transforming raw data into actionable insights for Medical Affairs strategies
• Learn how to translate online conversation analysis into measurable outcomes, driving better KOL and DOL engagement, informed decision-making, and improved scientific communication

Mike Taylor

Head of Data Insights, Digital Science

Mike Taylor

Head of Data Insights, Digital Science

Mike Taylor is Head of Metrics at Digital Science, where he specialises in quantitative and qualitative analyses of academic trends using Dimensions, Altmetric and other data sources. Before joining Digital Science, Mike spent many years working in Elsevier’s R&D group and in the Metrics and Analytics Team.  He works with many community groups, including FORCE11, RDA and NISO, and is well known in the scholarly metrics community. It was his love of books that originally attracted him to publishing, and this continues to fuel his enthusiasm for books as a key part of the scholarly record.

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Sharpen communication strategies at speed: Can we unlock new insights from “alternative metrics”?

In this session, we will discuss:

• What the meaningful and actionable indicators looks like in publication success and impact assessment
• Moving on from the JIF and H index – how to make Alternative Metrics work for you
• Whether it’s all about the article or if Publication Extenders matter too
• What HCPs really think and what the best places online are to connect with them
• How unified metrics and solutions impact timely decisions and actions

Mike Taylor

Head of Data Insights, Digital Science

Mike Taylor is Head of Metrics at Digital Science, where he specialises in quantitative and qualitative analyses of academic trends using Dimensions, Altmetric and other data sources. Before joining Digital Science, Mike spent many years working in Elsevier’s R&D group and in the Metrics and Analytics Team.  He works with many community groups, including FORCE11, RDA and NISO, and is well known in the scholarly metrics community. It was his love of books that originally attracted him to publishing, and this continues to fuel his enthusiasm for books as a key part of the scholarly record.

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Digital Science are looking forward to exhibiting at this event. Metaphacts, a Digital Science solution, will also be presenting a track talk at the conference.

Time/date: TBC

Accelerate AI initiatives with a data-centric Enterprise (Information) Architecture  

From documents to data-driven insights

Today’s Enterprise (Information) Architecture solutions lack the agility needed to accelerate AI initiatives. They do not deliver the required transparency over an organization’s information landscape, information architecture and data journeys, and fail to connect business needs to IT changes. 

Imagine what your organization could accomplish with a complete and comprehensive digital representation of its entire IT structure, all centered around the data that is available in these systems. This would include mapping information (such as the applications and physical systems used for the business), linking to business processes, as well as roles, departments and the individuals who fill them. 

In this session, we will explore how the implementation of a data-driven Enterprise (Information) Architecture can enable you to deliver the required transparency across business and IT, simplify data discovery, and, ultimately, support AI initiatives. As such, this will help your organization transition from mere systems documentation to an enterprise-wide semantic layer, weaving together:

• Business glossaries 
• Data catalogs
• Governance risk and compliance
• Configuration and service management
• Enterprise architecture repository
• API and streaming service publishing 
• And much more! 

We will dive into how this approach will enable all stakeholders, from management and business users to data owners, data stewards and IT, to participate in a collaborative process, and will discuss how this approach can be scaled to an enterprise-wide practice. 

Join us to learn why building a semantic layer for your Enterprise Information Architecture is an integral part of becoming data-centric and AI-ready!

Sebastian Schmidt

CEO, metaphacts

With over 20 years of experience in the IT industry, Sebastian Schmidt has built a distinguished career leading innovative teams in software engineering, consulting and product management. As the CEO of metaphacts, he is responsible for steering the company’s strategic vision and overseeing all business aspects, ensuring alignment with business goals and market demands. Sebastian spearheads initiatives that drive digital transformation for clients across Europe, North America, and Asia, cultivating strong partnerships and enhancing customer engagement. His leadership focuses on delivering exceptional value and fostering a culture of innovation, positioning metaphacts at the forefront of technological advancement.

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Dr. Leslie McIntosh, Digital Science’s VP of Research Integrity, will be presenting a talk within Session 039, which is focused on the impact of AI-based tools on research integrity and scholarly publishing, listing the challenges as well as recommendations to tackle these challenges and highlighting the emerging opportunities.

SESSION 039: The Impact of Artificial Intelligence-Based Tools on Research Integrity and Scholarly Publishing: A Boon or a Peril

Tuesday, April 23, 2024 • 2:00 PM – 5:00 PM (ET)

3:30 PM – 4:15 PM: Research Integrity Indicators in the Age of Artificial Intelligence

Leslie McIntosh PhD, MPH

VP of Research Integrity

Dr Leslie McIntosh PhD, MPH is the VP of Research Integrity at Digital Science and dedicates her work to improving research and investigating and reducing mis- and disinformation in science.

As an academic turned entrepreneur, she founded Ripeta in 2017 to improve research quality and integrity. Now part of Digital Science, the Ripeta algorithms lead in detecting trust markers of research manuscripts. She works around the globe with governments, publishers, institutions, and companies to improve research and scientific decision-making. She has given hundreds of talks including to the US-NIH, NASA, and World Congress on Research Integrity, and consulted with the US, Canadian, and European governments.

Dr. McIntosh’s work was the most-read RetractionWatch post of 2022.

Now based in London, Dr McIntosh holds a Master’s and PhD in public health with concentrations in biostatistics and epidemiology from Saint Louis University, and a Certificate in Women’s Leadership Forum from Washington University Olin’s School of Business.

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The theme of this year’s conference is Storytelling: Its Art and Power. People are more likely to remember information conveyed through stories compared with dry facts and statistics alone. Storytelling can distill complex concepts, making them more understandable and easier to digest, fostering empathy, establishing trust and helping to dispel stigmas and misinformation.

Digital Science are delighted to be exhibiting once again at this conference, come and visit us at stand 31 in the exhibit hall.

You can also check out our parallel session:

“What’s a “good” journal anyway?”

10:45 AM – 11:30 AM on Tuesday 30th April

In this interactive, enlightening, and hopefully entertaining, workshop, you’ll get to discuss ideas of what makes a good journal – and even paper. Dive into the maths of some of the world’s best known journal indicators, learn why they’re not fit for purpose and discuss the future of journal selection.

Learning objectives:

• What makes a good journal
• The restraints of current journal indicators
• The future of journal selection

Mike Taylor

Head of Data Insights, Digital Science

Mike Taylor is Head of Metrics at Digital Science, where he specialises in quantitative and qualitative analyses of academic trends using Dimensions, Altmetric and other data sources.

Before joining Digital Science, Mike spent many years working in Elsevier’s R&D group and in the Metrics and Analytics Team. He works with many community groups, including FORCE11, RDA and NISO, and is well known in the scholarly metrics community.

It was his love of books that originally attracted him to publishing, and this continues to fuel his enthusiasm for books as a key part of the scholarly record.

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