Evidence Synthesis Infrastructure Collaborative (ESIC)

The Evidence Synthesis Infrastructure Collaborative (ESIC) is a ‘community of communities’ committed to a collective impact approach to learning from others – using evidence synthesis – to improve lives. ESIC’s communities range from 45 UN entities and the world’s largest producers of evidence synthesis to key networks of evidence intermediaries (including science advisors and evidence-support units) and 35+ funders (research, philanthropic, government, and international assistance). ESIC builds on the momentum created by the Global Commission on Evidence to Address Societal Challenges to create a step-change improvement in how we use evidence to address societal challenges.

We’re proud to be part of this initiative, contributing to better using evidence to support decision-making and improve lives. Maureen Smith, our citizen strategy and engagement partner, has been appointed to ESIC’s Communities council. She had previously served as a member of the ESIC Governance planning group. The Forum’s Mike Wilson and Kerry Waddell were actively involved in working groups in the lead-up to and at the Cape Town Consensus meeting. Our director, John Lavis, facilitates ESIC’s steering group and Communities council.

McMaster Forum’s role in ESIC

ESIC year 1 foundational investments

McMaster Forum’s contributions

Sectoral hubs

Leading a nascent spoke for health emergencies in the health hub and exploring participating in other spokes, including for health-system arrangements 

Regional hubs

Contributing insights as a national and local evidence intermediary

Open data system

Gearing up to contribute data from Health Systems Evidence, Social Systems Evidence and McMaster Forum’s evidence syntheses

Living inventory of AI-DESTs

Keen to be an early adopter of AI-DESTs as part of Canadian domestic intermediary role

Monitoring, evaluation and learning (MEL) infrastructure

Prepared to contribute data that supports learning and improvement cycles

ESIC preparatory work

McMaster Forum’s contributions

Methods for policy-scale, AI-enabled LESs

Contributing to discussions on developing methods for policy-scale, AI-enabled syntheses