IQVIA Research Forum 2025

2025 IQVIA Institute Research Forum

The IQVIA Institute for Human Data Science annually hosts the IQVIA Institute Research Forum, which brings together researchers based in academia and other public or private institutions to exchange perspectives and experiences in advancing the collective understanding of critical healthcare-related issues through evidence-based research.

Large Datasets in High-Impact Health Research: Applying Innovative Methodologies and Infrastructural Approaches

Sept 18-19, 2025
Boston University

In collaboration with Boston University Questrom School of Business and Boston University School of Public Health

The 2025 IQVIA Institute Research Forum (the forum) will dive deeper into the opportunities and challenges regarding the use of large datasets with a focus on applying innovative methodologies, institutional and infrastructural approaches to use large datasets in high-impact health research. Themes for the 2025 forum include:

  • Advancing Access to Data: Improving access to data through funding, sharing resources and collaboration across research teams, institutions, states and countries.
  • Linking Large Datasets: Linking and integrating diverse data and large datasets in research and building innovative federal, state and institutional infrastructures for common data collection.
  • Using AI and New Methodologies: Advancing the use of AI and other innovative methodologies in health research and translating research insights into clinical practice.

Research Forum Co-chairs

  • Rena Conti, Ph.D., Associate Professor, Questrom School of Business, Boston University and Associate Research Director of Biopharma and Public Policy, Institute for Health System Innovation and Policy
  • Murray Aitken, Executive Director, IQVIA Institute for Human Data Science and Visiting Professor in Practice, The London School of Economics and Political Science
Call for submissions
2025 IQVIA Institute Research Forum
The 2025 IQVIA Institute Research Forum – in collaboration with Boston University Questrom School of Business and Boston University School of Public Health – invites researchers to submit abstracts to be included in this year’s forum. Applicants are encouraged to focus on areas related to the main theme of the 2024 IQVIA Institute Research Forum: Large Datasets in High-Impact Health Research: Applying Innovative Methodologies and Infrastructural Approaches.

2025 IQVIA Institute Research Forum themes

The Research Forum attendees discussed the following themes:

  • Advancing Access to Data: Improving access to data through funding, sharing resources and collaboration across research teams, institutions, states and countries
  • Linking Large Datasets: Linking and integrating diverse data and large datasets in research and building innovative federal, state and institutional infrastructures for common data collection
  • Using AI and New Methodologies: Advancing the use of AI and other innovative methodologies, new data and approaches to high-impact health research encompassing large datasets

 

Agenda

Thursday, September 18

Welcome and introduction - Rena Conti and Murray Aitken
10:00 – 10:15 a.m.

Theme 1: Advancing Access to Data
10:00 – 12:15 p.m.

  • Lunch and networking
    12:15 – 1:00
  • Abstract presentations
    1:00 – 2:00

Theme 2: Linking Large Datasets
2:00 – 4:00

  • Break
    4:00 – 4:15
  • Abstract presentations
    4:15 – 5:15
  • Reception and poster presentations
    5:15 – 6:30

Friday, September 19

Breakfast and networking
8:00 – 9:00 a.m.

Opening remarks
9:00 – 9:15
 

Theme 3: Using AI and New Methodologies
9:15 – 11:15

  • Break
    11:15 – 11:30
  • Abstract presentations
    11:30 – 12:30 p.m.
  • Lunch and guest speaker
    12:30 – 1:30
  • Concluding discussion
    1:30 – 3:00
Who attends the IQVIA Institute Research Forum?
Attendees and presenters are academic researchers working at academic institutions such as colleges and universities, government and provider organizations, and the life sciences industry. The audience is global, with most coming from North America and Europe.
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