About us

Launched in 2023, Impact Labs is Monash Business School’s major interdisciplinary vehicle for external outreach and impact, consistent with Monash University’s strategic plan, Impact 2030. Through seven specialised labs and expert networks, Impact Labs fosters innovative research by connecting diverse groups of change makers. These labs serve as hubs for collaboration, knowledge exchange, and practical solutions, driving meaningful and lasting impact across communities and industries.

• Digital Lab is a leading research and policy hub focused on digital markets, competition policy, platform design, and data and privacy. It brings together researchers and industry to explore how digital technologies are reshaping markets, regulation, and the broader economy.
• Energy Lab collaborates with industry and government to enhance research and policy impact in areas including competition policy, market design, and energy transition financing.
• FinTech Lab addresses critical challenges in financial technology through applied, policy-relevant projects and partnerships that explore how emerging technologies are reshaping financial systems in the Asia-Pacific region.
• Green Lab is an interdisciplinary research hub for climate change and sustainability that fosters collaborations between experts in economics, finance, and law, and engagement with government and industry partners.
• Mutual Value Lab is a hub for social impact measurement and evaluation, with a focus on social business models (i.e. co-operative and mutual enterprises, and social enterprises). MVL develops insights on the value and impact of these organisational models for stakeholders and communities.
• Opportunity Tech Lab advises on emerging and equitable digital technologies. OTL innovates digital solutions and co-designs inclusion strategies to enhance productivity, diversity, and inclusion.
• SoDa Labs delivers insights for business, government, and not-for-profit organisations by combining AI, machine learning, causal inference and data science methods with large and alternative data sources such as satellite imagery, text-as-data, and digital footprint data.