My research focusses on the analyses of technological change, income distribution, and economic dynamics at micro, meso, and macro levels, as well as the history of economic thought. The overall endeavour includes four main domains. 

Thematic A is about the economics of science and it explores the increasing deployment of AI technologies in the scientific arena. This theme aims at enhancing our understanding of the diffusion of AI in science and its impact on the scientific development process. The main objective is to provide new perspectives on the broader question of how the adoption of AI shapes the process of knowledge creation and dissemination.

Thematic B focusses on the economics of innovation and technical change, as well as the current challenges that the European Union faces in terms of science policies and Social Development Goals (SDGs). The research analyses the potential trade-offs that may arise when European countries pursue symmetrical or asymmetrical science and technology policies.

Thematic C concerns to the long-term dynamics of capitalist systems, including productivity growth, rates of innovation, structural change, and income distribution. The debate on secular stagnation in the United States is pivotal and analysed with both theoretical and empirical approaches.

Finally, Thematic D is about the economics of innovation and technological change from a historical perspective. The research questions and methodologies applied are various, but I analyse the emergence and development of innovation systems. This research offers a variety of methodological approaches, including theoretical agent-based modelling, numerical simulations, and empirical models using statistical and econometric tools. Additionally, a historical and epistemological approach is taken.

What follows lists relevant contribution by Thematic.

Borsato, A. , & Llerena, P. (2024). The US university-industry link via AI: Back to the origins?. BETA Working Paper #2024-46; url: https://www.beta-economics.fr/working-papers/2024-46/ 

Borsato, A., & Lorentz, A. (2023). Data production and the coevolving AI trajectories: an attempted evolutionary model. J Evol Econ 33, 1427–1472. https://doi.org/10.1007/s00191-023-00837-3 

Borsato, A., & Lorentz, A. (2023). The Kaldor-Verdoorn Law at the age of robots and AI. Research Policy, Vol. 52(10). https://doi.org/10.1016/j.respol.2023.104873 

Borsato, A., Lorentz, A. & Vannuccini, S. (work-in-progress). Modelling AI&Science.

Borsato, A., Lorentz, A., (2025), Public science vs. mission-oriented policies in long-run growth: An agent-based model. Structural Change and Economic Dynamics, https://doi.org/10.1016/j.strueco.2025.03.001 

Borsato, A., Erasmo, V., & Lorentz, A. (2024). The University and the Prince: Public funds shaping university trajectories. BETA Working Paper #2024-51; url: https://www.beta-economics.fr/working-papers/2024-51/ 

Abbonato, D.,  Borsato, A. (work-in-progress). Trends in Mission-Oriented Innovation Policies: A Bibliometric Survey.

Borsato, A. & Lorentz, A. (2023), Open Science vs. Mission-oriented Policies and the Long-run Dynamics of Integrated Economies: An Agent-based Model with a Kaldorian Flavour. BETA Working Paper #2023-17; url: https://www.beta-economics.fr/working-papers/2023-17/ 

Borsato, A., Compagnoni, M., Lorentz, A. & Savona, M. (work-in-progress). Innovation dynamics and structural change in the recycling sector.

Erasmo, V., & Borsato, A. (work-in-progress). From excellence to diversity: promoting complexity, innovation and pluralism in economics.

Borsato, A. (2023). Does the Secular Stagnation hypothesis match the data? Evidence from the USA. Journal of Post Keynesian Economics, 47(2), 346–374. https://doi.org/10.1080/01603477.2023.2242346 

Borsato, A. (2022) An agent-based model for Secular Stagnation in the USA: theory and empirical evidence. J Evol Econ 32, 1345–1389. https://doi.org/10.1007/s00191-022-00772-9 

Borsato, A. (2021). Simple Matching Protocols for Agent-Based Models. BETA Working Paper #2021-35; url: https://www.beta-economics.fr/working-papers/2021-35/ 

Borsato, A. (2021). Essays on Secular Stagnation in the USA. PhD Thesis, Department of Economics and Statistics, University of Siena. https://dx.doi.org/10.25434/borsato-andrea_phd2021

Borsato, A. (2020). Secular Stagnation and innovation dynamics: an agent-based SFC model. Part I. Quaderni del Dipartimento di Economia Politica e Statistica, n° 840, Department of Economics and Statistics, University of Siena; url: https://www.deps.unisi.it/it/ricerca/pubblicazioni-deps/quaderni-deps/anno-2020-da-n818-n848/840-secular-stagnation-and 

Borsato, A., & Llerena, P. (2025). Inside the Biotech: A dialogue between Rosenberg, Babbage, Smith, and Schumpeter. Economics of Innovation and New Technology.  url: https://www.tandfonline.com/doi/full/10.1080/10438599.2025.2526525?src=exp-la

Lorentz, A. & Borsato, A. (2023). Nicholas Kaldor: Faits stylisés, Progrès Technique et Croissance Cumulative. Les Grands Auteurs en Management de l’Innovation, T. Burger-Helmchen, P. Cohendet, C.Hussler (eds.), Ch. XIV, Edition II, Editions Management et Société. https://doi.org/10.3917/ems.burge.2023.01.0265