32nd International Input-Output Association Conference
14th Edition of the International School of I-O Analysis
11th Jornadas de Análisis Input Output
22nd - 26th June 2026, Seville, Spain
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Keynote Speakers
Introduction to the Plenary Sessions
For the 2026 IIOA Conference in Seville, we will have three Keynote Speakers for the Plenary Sessions and two InspIO speakers.
Plenary Sessions
The Plenary Sessions will be on Tuesday, Wednesday and Thursday and of the conventional type. Each session will last one hour, of which 40-45 minutes will focus on the presentation followed by 15-20 minutes for questions and answers. The Keynote Speaker and chair for each Plenary Session will be:
Tuesday 23 June
Chair: Rosa Duarte (University of Saragossa, Spain)
Keynote speaker: Román Arjona (European Commission )
Title: Headwinds and Springboards for EU Industry: what evidence reveals
SHAIO Honorary Member’s Keynote
Tuesday 23 June
Chair: Rosa Duarte (University of Saragossa, Spain)
Keynote speaker: Óscar Dejuán (University Castille-La-Mancha, Spain)
Title: Financial flows and stocks in an input-output framework
Wednesday 24 June
Chair: Kirsten Wiebe (SINTEF, Norway)
Keynote speaker: Christos Makridis (Arizona State University, United States )
Title: From Leontief to Space Launch: Input-Output Analysis and the New Measurement Agenda for Strategic Industries
InspIO speaker: Sanjiv Mahajan (ONS, United Kingdom)
Title: Introduction to 2025 SNA & BPM 7 Communication and Dissemination
Thursday 25 June
Chair: Cuihong Yang (Chinese Academy of Sciences, China)
Keynote speaker: Anke Mönnig (GWS, Germany )
Title: Artificial Intelligence –Measuring Potential Impacts on the Labour Market. The case of Germany
InspIO speaker: Michael L. Lahr (Rutgers University, United States)
Title: The Magic of Universal Gravity and Mining: Space Cadets & Interregional Trade Estimating
Background to the Keynote Speakers
It is the honour of the IIOA, the LOC Chair and the SPC Chair to welcome all guest speakers to the 32nd IIOA Conference. More details on their career profiles and presentation themes are provided below.
Román Arjona – Career profile
Román Arjona is Chief Economist at the Directorate-General for Internal Market, Industry, Entrepreneurship and SMEs of the European Commission (DG GROW). In addition to his role, he is Vice-Chair of the OECD’s Committee for Industry, Innovation and Entrepreneurship (CIIE), and a member of CEPR’s European Economic Policy Network.
Formerly, he was Chief Economist and Head of Strategy and Foresight at the Directorate-General for Research & Innovation of the European Commission, and Vice-Chair of the OECD’s Committee for Science and Technology Policy (CSTP). He served in the Spanish government as Secretary-General for Science, Technology and Innovation, and before joining the Commission he was an adviser to the Spanish State Secretary and the Spanish Minister for Science and Technology.
Mr Arjona worked for the European Investment Bank and the International Monetary Fund as well as for the OECD as an Economist. He is a former member of the World Economic Forum’s High-Level Advisory Group of the Europe Inclusive Growth and Competitiveness Lab, and of its Global Agenda Council on New Growth Models.
Román graduated in Economics at the University of Valencia with a special distinction and holds a Masters’ degree in European Economic Studies from the College of Europe in Bruges and a PhD in Economics from the European University Institute in Florence.
Román’s presentation theme
Headwinds and Springboards for EU Industry: what evidence reveals
European industry operates in a context of structural and geo-economic shifts that influence how firms compete and how policymakers design their responses. Román will provide a snapshot of some of the main developments that affect this changing landscape. He will sketch the context, characterized by substantial shifts in trade patterns, the global rise of more assertive industrial policies, and a vividly intensifying rivalry in technology. He will then highlight a set of important challenges for EU industries, including pressures on traditional industries, supply-chain choke points, and investment needs that largely exceed present trajectories. Finally, he will point to areas where there lie clear opportunities for adjustment and renewal, notably through the deepening of the EU Single Market, evolving economic security tools, a refocused EU budget, and new approaches to industrial policy.
He will illustrate this by using recent economic analyses and business insights from the Chief Economist and Business Intelligence Team of the European Commission’s DG GROW, which he is leading, including by showcasing how input-output analysis and input-output modelling (i.e. FIDELIO model) enriches the team’s evidence base.
Óscar Dejuán – Career profile
Óscar Dejuán Asenjo is Full Professor of Economics (Fundamentals of Economic Analysis) at the University of Castilla‑La Mancha (UCLM), where he has been based since 1991. He has played a central role in the institutional development of economics at UCLM, serving as the first Dean of the Faculty of Economics and Business Administration in Albacete (1993–1999) and later as Founding Director of the Department of Economic Analysis and Finance (2006–2014).
His academic work has positioned him as a leading figure in post‑Keynesian economics, particularly in the development and consolidation of the supermultiplier approach to economic growth and in the application of input‑output analysis to issues of productive structure, energy, and environmental policy. These contributions have been published extensively in internationally recognized journals and books, including recent monographs with Edward Elgar and articles in journals such as Cambridge Journal of Economics, Economic Systems Research, and Review of Political Economy.
In recognition of his sustained intellectual leadership and his role in building the Spanish‑speaking input‑output research community, he was appointed Honorary Member of the Hispanic American Input‑Output Analysis Society (SHAIO) in 2026. He has been actively involved in this community for more than four decades, contributing to the training of young researchers and the organization of international conferences and long‑running academic seminars.
Professor Dejuán holds dual doctoral training. He earned a PhD in Law from the University of Barcelona, with a dissertation on the Spanish economic constitution that received the Award of the Spanish Congress of Deputies, and later a PhD in Economics from the New School for Social Research (New York). He also holds degrees in Law and Economics from the University of Barcelona.
Throughout his career, he has combined theoretical rigor with applied research, including policy‑oriented projects using input‑output and multiplier‑accelerator models for the analysis of growth, crisis, energy demand, and decarbonization. His work is widely cited and continues to influence contemporary debates in macroeconomics, economic policy, and the history of economic thought.
Óscar’s presentation theme
Financial flows and stocks in an input-output framework
Since its inception, “impact analysis” has been one of the central topics of input-output analysis. Dejuán, Portella, and Ortiz (2022), for example, examine the impact on VA, employment, and CO2 emissions of a massive investment in solar panels and wind turbines to generate the bulk of electricity in the EU. Without denying the importance of these issues, it is worth clarifying how these investments have to be financed and what effects an excessive increase in debt or liquidity might have on specific industries and the general economy.
For this purpose, it looks convenient to construct input-output tables capable of identifying the financial requirements of economic agents, as well as the liabilities intended to meet them. In this lecture, we aim to provide useful insights for integrating finance into a Social Accounting Matrix. We rely on a post-Keynesian stock-flow consistent model and the endogenous money hypothesis.
Michael L. Lahr – Career profile
Michael L. Lahr is the former Director of Rutgers Economic Advisory Service (R/ECON™). As Distinguished Research Professor, Emeritus of Planning and Public Policy at Rutgers University, he holds a Ph.D. in Regional Science from the University of Pennsylvania. At the Bloustein School Dr. Lahr taught courses on Global Analytics and occasionally an advanced course on applied statistical methods and economic modeling that is designed for PhD students.
Since 1995, Dr. Lahr supervised R/ECON™ research on a broad array of public policy issues in the fields of housing, economic development, program evaluation, and fiscal and economic impact analysis. He has published over 50 articles in journals and edited volumes on economic modeling techniques; development economics; and the economics of various planning and fiscal issues.
Lahr sits on the editorial board of Papers in Regional Science, Journal of Economic Structures, and the Brazilian Review of Regional Studies, He has co-edited four books and two journal special issues. He is presently Treasurer of the Benjamin H. Stevens Graduate Fellowship of the North American Regional Science Council. Lahr also has been Vice President of the International-Input Output Association, Chair of the North American Regional Council, and President of the Southern Regional Science Association, and sat on the Editorial Boards of the Journal of Regional Science and Economic Systems Research. He has received service awards from the North American Regional Science Association International and the Southern Regional Science Association. He has also been proclaimed a Research Fellow of the Southern Regional Science Association.
Michael’s presentation theme
The Magic of Universal Gravity and Mining: Space Cadets & Interregional Trade Estimating
Trade between regions of a single country has re-emerged as a central topic in spatial and international economics. Although intra-national flows nearly always exceed international flows in volume, they have received less attention since the rise in interest in global value chains in the mid-1990s. This is likely because consistent data for subnational interregional trade are scarce and some of the usual suspects causing trade frictions—tariffs, language, currency—are absent or attenuated within national borders. Thus, understanding the causes and effects of subnational trade flows demands wizardly skills and deep knowledge. The wizard must be steeped in spatial economic theory that understands multilateral trade resistances as well as market structure. S/he also must grasp a breadth of mathematical techniques to handle issues of data sparsity in a universe of network dependence, as well as more mundane problems like statistical endogeneity. For these reasons, I report on theories and methods used to identify international trade flows that translate to subnational settings. Indeed, over the past three decades many substantive findings have accumulated with implications to interregional trade. I argue that subnational trade research has matured into a distinctive field with its own identification strategies, datasets, and policy questions, while remaining tightly linked to advances in international trade, economic geography, and spatial econometrics. Following the above review, I impart visually some unusual facts pertaining to information on subnational trade flows. I subsequently close with an agenda for future work, emphasizing the integration of firm-level data, network methods, and dynamic models capable of addressing questions of regional convergence, resilience, and adjustment to large shocks.
Sanjiv Mahajan – Career profile
Sanjiv Mahajan is currently the Head of Methods and Research Engagement in the UK Office for National Statistics (ONS).
Sanjiv gained a BSc Honours Degree in Mathematics from Royal Holloway College, University of London before working in the private sector (as a stockbroker and a retail manager) and then the public sector. Sanjiv joined the then ONS in 1988 and has developed a unique blend of knowledge and experience gained by working in various posts across the UK Economic Accounts reflecting practical compilation, balancing the accounts, conceptual development, articles, pushing through EU statistical legislation and leading the introduction and implementation of many new initiatives improving UK economic statistics.
Sanjiv has been elected to various notable posts, examples include Member of the United Nations Advisory Expert Group (AEG) on National Accounts in 2017 and a Council Member of the International Input-Output Association (IIOA) since 2012 and becoming the President of the IIOA, 2022-24.
Sanjiv was the Chief Editor of the UN Handbook on Supply and Use Tables and Input-Output Tables with Extensions and Applications web-published in 2018.
Sanjiv was the Chair of the Local Organising Committee bringing the IIOA Conference to the UK for the first time ever in Glasgow, Scotland in 2019 as well as leading the IIOA Conference preparation in Male’, Maldives in 2025.
Sanjiv was the Chair of the UN Communication Task Team in 2020 overseeing the development of world-wide recommendations and tools aimed to improve the way economic statistics and accounts are communicated and presented to a diverse set of users as well as generating a new chapter in the 2025 SNA and BPM 7.
Sanjiv was one of the Supporting Editors in producing the 2025 SNA.
Sanjiv’s presentation theme
Introduction to 2025 SNA & BPM 7 Communication and Dissemination
The way in which macroeconomic statistics are communicated has a significant impact on users’ understanding; their use of the data; and knock-on effects. Statistics compilers are encouraged to better communicate with all users to provide information which helps to maximise comparability, usefulness, quality, etc. UNECE Generic Statistical Business Process Model recognises the role and importance of dissemination and communication as part of the statistical value chain. UNSC (2020) endorsed a new chapter on communication to be included in the new SNA2025 and BPM7. The chapter highlights importance and role of dissemination and communication in the production chain of official statistics and help producers of macroeconomic statistics communicate the statistics to their users and improve comparability.
Christos A. Makridis – Career profile
Christos A. Makridis serves as an Associate Research Professor at the W. P. Carey School of Business and Senior Researcher at Gallup, as well as Associate Faculty at the Complexity Science Hub in Vienna, a Digital Fellow at the Digital Economy Lab in Stanford University, a Non-resident Fellow at the Institute for Religious Studies at Baylor University, Visiting Faculty at University of Nicosia, and term member on the Council on Foreign Relations.
Christos previously served as a Senior Adviser at the National Artificial Intelligence Institute at the Department of Veterans Affairs, and on the White House Council of Economic Advisers managing the cybersecurity, technology, and space activities. He has also been an Adjunct Scholar at the Manhattan Institute, a Non-resident Fellow at the Cyber Security Project in the Harvard Kennedy School of Government, and a Digital Fellow at the Initiative at the Digital Economy in the MIT Sloan School of Management.
Christos’ primary academic research is in the intersection labor economics, the digital economy, and human flourishing, publishing over 120 articles in leading journals. He has also written over 300 stories in the popular press. Christos earned a bachelor’s in economics and minor in mathematics at Arizona State University, as well as dual Masters and PhDs in Economics and Management Science & Engineering at Stanford University.
Christos’ presentation theme
From Leontief to Space Launch: Input-Output Analysis and the New Measurement Agenda for Strategic Industries
Standard economic indicators may systematically understate the footprint of sectors whose output functions primarily as an embedded input rather than a final good. The space economy offers a particularly illustrative example of this measurement failure and a productive testing ground for what a linkage-centred framework can reveal. This keynote develops a transparent, national-accounts-consistent approach to measuring the U.S. space economy using input-output total requirements tables with real gross output and value added by industry. Even under a conservative core definition, indirect activity — propagated through upstream suppliers and downstream users — exceeds direct core output in every benchmark year between 2007 and 2017, with an indirect-to-direct ratio approaching 1.6 by 2017. Forward projections to 2030, constructed using a shrinkage-pooled growth estimator and Monte Carlo uncertainty bands, place the baseline total footprint at approximately $350 billion, roughly two-thirds of which is indirect. Beyond the space sector, these results illustrate that IO total requirements tables, combined with granular industry accounts, can identify where an economy's true dependencies lie, where bottlenecks are most likely to bind, and where policy interventions will transmit most forcefully. Two diagnostics — a Space Dependency Index and an upstream winner metric — operationalize this logic for resilience planning and industrial strategy. More broadly, the keynote argues that the production-network tradition, rooted in Leontief's foundational insights, is uniquely positioned to address a growing class of measurement problems in the modern economy: sectors whose significance is invisible to conventional measures precisely because their value propagates through intermediates.
Anke M. Mönnig – Career profile
Anke Mönnig (Diploma in Economics and Master of Arts) is deputy head of the GWS division ‘Economic and Social Affairs’. Since July 2006, she is working for the GWS. Her thematic focus concentrates on industrial analysis, labor markets and structural change with an emphasis on external trade.
She is responsible for the updating and development of the German model INFORGE and the world trade model GINFORS. The forecast and simulation model INFORGE forms the basis for various model applications within the GWS. INFORGE also forms the economic core for the QINFORGE simulation model, which has been extended to include occupations and competencies and is used both within the framework of the QuBe project and in BMAS expert monitoring. Anke Mönnig is part of the QuBe project and the BMAS-Fachkräftemonitoring, in which, together with the cooperation partners (BIBB, IAB), the supply-side and demand-side modelling of the German labour market is being promoted.
Since 2006, Ms. Mönnig has also been preparing medium-term sector analyses for the DSV/DSGV – for the three core industries of mechanical engineering and the automotive industry, among others – which require both quantitative and qualitative knowledge of the sectors. Anke Mönnig shows her scientific presence through publications in peer-reviewed journals and other publications as well as on international conferences. She is a member of the International Input-Output-Association and is (co-)organiser of the German Input-Output-Workshop.
Anke’s presentation theme
Artificial Intelligence – Measuring Potential Impacts on the Labour Market. The case of Germany.
AI‑based systems employ machine learning and deep learning to automate complex tasks such as pattern recognition, language processing, trend analysis and decision‑making, relying on vast data, high‑performance computing and novel algorithms. Their adoption is expected across all sectors, with chat‑bot use already widespread. Research is mixed: the OECD (2023) foresees AI extending automation beyond routine tasks across most sectors; the IMF (2024) predicts 60 % of jobs will change, with half benefitting and the other half at risk of automation; IWK (2026) argues that AI will heavily affect white‑collar jobs but not overall employment; and PwC (2026) finds that 56 % of firms see no AI advantage, while only 12 % have cut costs or boosted sales, making a solid business case rare. CEOs anticipate AI reducing staff, especially junior roles, leaving labour‑market impacts uncertain.
To explore whether AI replaces or complements human labour in a declining‑population economy such as Germany, we built a macro‑econometric input‑output model with two scenarios: a baseline extrapolating current trends, and an “AI‑scenario” assuming a rapid AI ramp‑up. The AI assumptions span the whole AI value chain – investment in AI data centres, industry‑level AI adoption (including employee upskilling), material‑efficiency gains, import‑price effects, new business models and overall productivity growth – and vary by industry and speed of adoption.
Results suggest that, under the AI‑scenario, productivity gains can raise value creation substantially while employing roughly the same labour as the baseline. Higher added value could boost consumption, yet without further low‑emission technology uptake, emissions may rise. Overall labour‑market effects remain modest, but substantial sector‑ and skill‑level shifts are expected, intensifying as AI becomes more pervasive throughout the economy.
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