Patent elucidation for clil and vice versa understanding the inventor´s mind

In this paper we present an English-medium instruction (EMI) team-teaching initiative to be soon implemented within the Agronomic Engineering masters programme at the Technical University of Madrid (UPM). Through the patent genre we not only intend to teach specific agronomical syllabi contents synchronically and diachronically, but also broaden our students’ academic and professional literacies, help them practice and improve their communication abilities in English as a lingua franca, and motivate them as future autonomous professionals while fostering the exercise of higher-level transversal skills—critical thinking, creativity, cooperation, and entrepreneurship. We begin by introducing the current mobility trends in higher education contexts and the common misconceptions surrounding the notion of patent, and get on to describe the design and evaluation procedures of the course. To conclude, we recapitulate the main benefits of our pedagogical proposal and open windows onto further didactic applications.

Patents and Economic Activity: The Need to Develop Prediction Methods for Patent Applications

Since the decade of the 1980’s the literature on economic development began paying attention to the cases of countries which were industrialized after the first industrial revolution. One of the most relevant aspects analyzed has been the role of technology as a factor which promotes or delays the process of catching up with technology leaders. As result of this interest, new and more adequate indicators were identified to provide a coherent explanation for technological activities and their relationship with economic efficiency. Although the earliest studies focused on analyzing the activities of research and development (R&D), recently the focus of analysis has shifted to another type of variables, more oriented towards the processes of innovation and the gathering of knowledge and capabilities, in which patents provide relevant information.

Understanding the inventor’s mind through patent analysis: a clil team-teaching experience at the Technical University of Madrid

Describimos una iniciativa de enseñanza en equipo, basada en la metodología CLIL y aplicada recientemente en la Escuela Técnica Superior de Ingenieros Agrónomos de la Universidad Politécnica de Madrid. Dos profesoras—una ingeniera agrónoma y una lingüista, junto con cerca de 20 estudiantes de máster, analizamos una patente contrastándola con un artículo de investigación homólogo, escrito por los mismos autores sobre el mismo objeto tecnológico, y examinando sus diferentes contextos y consecuencias sociales. Con una duración de siete horas y media y un carácter eminentemente práctico, el seminario impartido no sólo se ha diseñado para proporcionar contenidos disciplinarios (agronómicos) y procedimentales (las estrategias propias de la escritura de patentes), sino también para suscitar sensibilidad hacia el lector y fomentar competencias transversales

The policy dilemma of the unitary patent. Bruegel Working Paper 2014/13, 27 November 2014

This paper provides new evidence about the budgetary consequences – for patent offices – of the coexistence of the forthcoming Unitary Patent (UP) with the current European Patent (EP). Simulation results illustrate a dilemma between (1) high UP renewal fees to ensure enough financial income for all national patent offices (NPOs) and (2) low UP renewal fees to make the UP system affordable, with very few NPOs losing on financial revenues. The simulations help to understand the positions of several patent offices, and underline an alternative way to proceed with the negotiations while reducing financial risks for the whole system.

A flexible, scaleable approach to the international patent 'name game'. Bruegel Working Paper 2014/10i, September 2014

The inventors in PATSTAT are often duplicates: the same person or company may be split into multiple entries in PATSTAT, each associated to different patents. In this paper, we address this problem with an algorithm that efficiently de-duplicates the data. It needs minimal manual input and works well even on consumer-grade computers. Comparisons between entries are not limited to their names, and thus this algorithm is an improvement over earlier ones that required extensive manual work or overly cautious clean-up of the names.