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IEEE eScience 2024

Workshop: Impact from eScience

Sharing experiences of specific case studies and programs that have been designed to increase impact outside of academia.

Calendar - Bootcamp


Monday 16th - Friday 20th September 2024

Location - Bootcamp


Osaka, Japan


eScience has had a major impact on research in science, engineering, healthcare and (increasingly) the humanities. However, there is enormous potential to use the skills, expertise, and tools of eScience researchers to also have a major impact on the economy and society.

For example, all organisations are drowning in data, but most lack the skills to extract value from it to gain insights into their work, to improve productivity and to create new profitable data-driven products and services.

In contrast, eScience researchers have highly relevant experience in solving real-world problems by unlocking the value held in data.

The aim of the workshop will be to increase the impact from eScience by sharing experiences of specific impact case studies, and of programs that have been designed to increase impact outside of academia. The workshop is timely, and research funders world-wide are increasing the emphasis on the need to show impact outside of research and academia.

This workshop is suited to those already driving impact and those interested in learning lessons on how to do so.

Whether you are deeply embedded in data science and scientific inquiry, crafting innovative solutions from data-informed insights, or seeking to amplify your organisation’s impact through collaborative partnerships and exploration, this workshop is designed to share practical knowledge and actionable strategies for harnessing the power of eScience to drive and sustain a positive impact.

The workshop will include presentations and discussion on topics including case studies and reflections on:

  • Collaborative Impact: Explore case studies where partnerships between academia, private industry, and government entities are driving positive change, sustainable growth and societal benefits using eScience. Delve into the strategies and frameworks that enable successful and sustainable collaboration and impact.

  • Entrepreneurial Impact: Discover the transformative power of entrepreneurial activities, including the creation of spin-offs, in bringing data science innovations to market. Learn from the journeys of those who have navigated the path from concept to impact, highlighting the challenges and triumphs encountered along the way.

  • Foundations for Impact: Unpack the design and implementation of programs, methods, centres, and organisations dedicated to maximising the impact of eScience. From theoretical underpinnings to practical applications, gain insights into building and scaling efforts that deliver tangible outcomes and measurable impact.

We are requesting 3-page papers summarising your work in any of these (or related) areas. Those selected by referees will be presented at the workshop.

Note: Papers can only be published in the proceedings if the authors register and attend the Workshop.

Paper submission deadline: initial submission for papers June 24th, 2024

Notification of Paper Acceptance: July 8th, 2024

Camera Ready Copy Deadline: 12th August, 2024

Use the links provided to submit your papers through the portal. Successful papers will be published in the eScience 2024 proceedings.


Programme Committee:

  • Paul Watson, (Co-Organiser), Director, National Innovation Centre for Data, UK
  • Rhetta Chappel, (Co-Organiser) Data Scientist & Partnerships Lead, Industry & External Engagement, Relational Insights Data Lab (RIDL), Griffith University, Australia
  • Brendan McGinty, Director of Industry, National Center for Supercomputing Applications, US
  • Robert Schuler, Senior Computer Scientist, Lead Scientist, USC Information Sciences Institute, US
  • André Santanchè, Associate Professor at the Institute of Computing (IC) - UNICAMP, Brazil
  • Barry Hodgson, Director of Strategy, National Innovation Centre for Data, UK
  • Beth Plale, Bicentennial Professor of Computer Engineering, Director, - Data to Insight Center, Indianna University