More themed sessions will be announced soon. If you are interested in proposing additional themed sessions, please send your proposal through the submissions platform. Proposals will be assessed on a rolling basis.

- Frontiers in empirical trademark research, open to submissions

Organizers: Carolina Castaldi (Utrecht University) and Shukhrat Nasirov (De Montfort University)

Summary: Trademarks are the most widely used intellectual property rights, but they have been largely neglected in economic, innovation, and geography research for a long time. This is now changing, and we are seeing great momentum in trademark research, largely owing to such initiatives as special issues (in Industry and Innovation and Regional Studies) and to more data becoming available from several offices (USPTO, EUIPO, and IP Australia). Still, the full potential of trademark data for original empirical research is yet to be exploited.
We aim to attract contributions that are at the forefront of empirical trademark research in such disciplines as economics, geography, management, and legal studies.
Topics that we aim to cover are:
→ empirical studies investigating motives for trademarking and/or trademark strategies for specific types of firms/innovation/industries;
→ empirical studies exploiting the richness of trademark records (e.g., goods and service descriptions, oppositions, monetization);
→ empirical studies reconstructing bundling strategies where trademarks play a key role;
→ empirical studies aiming at measuring the societal returns of trademarks;
→ methodological studies on technical aspects associated with trademark data.

Speakers: Open to submissions

- Data science for innovation and science data, open to submissions

Organizers: Dominique Guellec (Hcéres-OST)

Summary: New quantitative methods are increasingly being applied to patent data, enabled by new approaches, powerful computers and big databases. Such methods include notably machine learning (for classification, natural language processing etc.) and graph analysis. They complement traditional techniques, notably econometrics. The use of these techniques allows to revisit issues already addressed with traditional techniques like the connection between science and technology, knowledge spillovers, technology diffusion, the value and impact of inventions etc.; it also allows to investigate quantitatively new issues like the facets and determinants of novelty in inventions, the genesis and evolution of specific technical ideas etc. Traditional techniques exploit mainly the metadata that are generated by the patenting process: dates, authors/inventors, assignees, technical classes, journals, citations. New semantic techniques, in addition, allow the use of text: This has been facilitated notably by progress in natural language processing, with the development of text embeddings, syntactic analysis etc. Other techniques infer deep structures in data, e.g. graph-based models allow to capture complex patterns of distant influence between entities, akin to knowledge circulation.

We aim to gather presentations making use of new quantitative methods applied to patent and other IP data for addressing innovation and science related issues.

Topics that we aim to cover include:
→ New developments in quantitative techniques relevant to IP data and analysis.
→ Use of NLP and graph analysis to map science-technology relations.
→ Use of NLP and graph analysis to measure basic feature of science and technology dynamics: novelty, externalities, coherence etc.
→ Use of NLP and graph analysis to analyse IP strategies and the value of patents.
→ Use of NLP and graph analysis to improve data quality (e.g. disambiguation of names or places, matching with other data).

Speakers: Open to submissions

- IP and International Trade, on invitation

Organizers: Marco Grazzi, Universitá Cattolica del Sacro Cuore, Milano (Italy) and Daniele Moschella, Scuola Superiore Sant’Anna, Pisa (Italy)

Summary: Intellectual Property (IP) rights and trade flows are deeply intertwined. This is supported both on the basis of theoretical and empirical ground. The direction of causality is not always easy to be singled out and most likely it runs in both directions over different time horizon. On the one side, higher IP protection in the destination countries of export might foster larger trade flows, as exporting firms bear a smaller risk of being imitated. On the other side, and probably on a longer time span, an increase in the size of the market, both in a given destination as well globally, is likely to increase the incentive of firms to invest in R&D, introduce new products and resort to IP. The works gathered in this proposed session contribute to the debate in different but complementary manners, by combining theoretical and empirical analyses on the relation between IP (both trademarks and patents) and international trade.The invited contributions are i) International trademarking and exports: A predictive analysis, by Stephen Petrie, Trevor Kollmann, Alexandru Codoreanu, Russell Thomson and Elizabeth Webster (Swinburne University of Technology, Australia); ii) Intellectual Property-Related Preferential Trade Agreements and the Composition of Trade, by Keith E. Maskus (University of Colorado Boulder, Department of Economics) and William Ridley (University of Illinois at Urbana- Champaign, Department of Agricultural and Consumer Economics); iii) International Patenting with Heterogeneous Firms, by Nikolas Zolas (U.S. Census Bureau); iv) The effect of international patent protection on trade, by Gaétan de Rassenfosse (EPFL, Lausanne), Marco Grazzi (Univ. Cattolica, Milano), Daniele Moschella (Sant’Anna School, Pisa), Gabriele Pellegrino (EPFL, Lausanne).

Speakers: On invitation

- Intellectual Property for Sustainability Transitions, on invitation

Organizers: Dr Frank Tietze, Innovation and IP Management (IIPM) Lab, University of Cambridge (UK), Prof. Anjula Gurtoo, Indian Institute of Science Bangalore (India), Dr Pratheeba Vimalnath, Innovation and IP Management (IIPM) Lab, University of Cambridge (UK)

Summary: The transition to global sustainable development is an urgent challenge. In 2015, countries globally adopted the Sustainable Development Goals to end poverty, protect the planet, and ensure prosperity for all as part of a new sustainable development agenda. Effective transitions to sustainability require innovations with complex diffusion and adoption processes. The accompanied evolutionary technology development processes involve complex and intertwined IP related issues. The role of IP for effective transitions to sustainability however remains insufficiently understood. This session brings together partners from the IPACST project – IP Models for Accelerating Sustainability Transitions (www.ip4sustainability.org) involving leading IP and sustainability researchers from UK, German, Swedish and Indian universities. IPACST is a major, three-year international and interdisciplinary research project that started in 2018 and brings together the fields of sustainability, IP and innovation management, together with political sciences and engineering to transform our understanding of the role played by different Intellectual Property (IP) models in sustainability transitions. This project contributes to the integration of these fields through frameworks that conceptualize (i) which, (ii) how and under (iii) what conditions IP models accelerate sustainable transitions, in connection with sustainable business models and empirical analysis.

Speakers: On invitation