Conference 2025

3rd Annual Conference of Advanced Quantitative Methods and Analytics for Public Policy Support (AQMAPPS)

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AQMAPPS Conference

 

October 23rd to 25th, 2025

The third workshop on “Advanced Quantitative Methods and Analytics for Public Policy Support” (AQMAPPS) aims to improve public policy through advanced data modeling techniques, following the previous editions in Milan (2023) and Amsterdam (2024). The workshop builds on a collaboration of educational scientists and organized by Teachers College, Columbia University (USA), Vrije Universiteit Amsterdam (the Netherlands), Politecnico di Milano (Italy), and KU Leuven (Belgium).

Scientific Committee
  • Tommaso Agasisti (Politecnico di Milano)
  • Alex Bowers (Teachers College – Columbia University)
  • Ilja Cornelisz (Vrije Universiteit Amsterdam)
  • Chris van Klaveren (Vrije Universiteit Amsterdam)
  • Kristof de Witte (KU Leuven)

Dr. Alex J. Bowers

Alex J. Bowers is a Professor of Education Leadership at Teachers College, Columbia University, where he works to help school leaders use the data they already collect in schools more effectively to help direct the limited resources of schools and districts to specific student needs. His research focuses on the intersection of effective school and district leadership, organization and HR, data-driven decision-making, student grades and test scores, student persistence, and dropouts. His work also considers the influence of school finance, facilities, and technology on student achievement. Dr. Bowers studies these domains by applying data science and big data analytics, such as data visualization analytics, multilevel and growth mixture modeling, and cluster analysis heatmap data dashboards.

Dr. Elias Bareinboim

Elias Bareinboim is a associate professor in the Department of Computer Science and the director of the Causal Artificial Intelligence (CausalAI) Laboratory at Columbia University. His center affiliations are the Foundations of Data Science and Health Analytics. To learn more, visit his profile on the Data Science Institute website.

Join the dialogue and contribute to this insightful discussion at the forefront of quantitative methods and analytics for public policy support. We invite scholars from various social science disciplines—including education, health, crime, economics, political science, sociology, and public administration—to share their expertise and perspectives on how advanced quantitative methods and analytics can drive effective and efficient decision-making in public good policies. A specific feature of the workshop involves scholars and researchers from different countries, from both sides of the Atlantic. 

 

Call for papers deadline has been extended to July 8, 2025 

Conference Call for Papers 2025

Join us for our upcoming conference on the 23rd, 24th, and 25th of October. Here's a glimpse of our preliminary program:

Thursday 23rd of October:

  • 09:00 am Registration
  • 09:30 - 10:30 Keynote 1:
  • 10:30 - 10:45 Coffee break
  • 10:45 - 1:00 Session 1
  • 1:00 - 2:00 Lunch break
  • 2:00 - 3:00  Session 2
  • 6:00 pm Social dinner.

 Friday 24th of October: 

  • 09:30 - 10:30 Keynote 2: 
  • 10:30 - 10:45 Coffee break
  • 10:45 - 1:00 Session 3
  • 1:00 - 2:00 Lunch break
  • 2:00 - 3:30 Session 4
  • Evening: (optional) social event

 Saturday 25th of October:  

  • 09:00 - 10:00 Keynote 3: 
  • 10:00 - 10:20 Coffee break
  • 10:20 - 12:35 Session 5
  • 12:35 Closing lunch & awards

We look forward to your participation in this enriching event.

Excellence in Quantitative Policy Analysis Award

This award recognizes outstanding research demonstrating the most innovative and effective application of quantitative methods to address pressing policy challenges. It celebrates excellence in using analytics to drive positive change and inform decision-making in the public sector.

Data Dynamo Award

This award celebrates the individual who brings the most energy, creativity, and enthusiasm to the conference discussions and activities related to quantitative methods and analytics. Whether through insightful questions, engaging presentations, or simply spreading positive vibes, the Data Dynamo embodies the spirit of collaboration and innovation in public policy.

 

Regular fee $395

Doctoral student fee $295

Registration for this meeting will open after the review of proposals and notification will be sent to accepted authors

Please keep in mind that any particular property or service outside Teachers College cannot be endorsed if they are not affiliated with Teachers College. The list is provided by the Office of Residential Services and serves as a resource. 

TC Options

Columbia Options

Other Options

Contact Us

aqmapps@tc.columbia.edu

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