Data Science and Innovation for Impact
Objectives
In the current context of accelerated change, the development of new products and services is fundamental to sustaining a company¿s long-term competitive advantage. Also, firms and their managers have to rapidly adapt to the evolution of their business environments in order to survive. Yet, the most successful firms go beyond an adaptive behavior and are able to innovate and to stimulate corporate entrepreneurship within their firm. The course aims at understanding the multiple dimensions and perspectives on innovation (including incremental and radical, disruptive, revolutionary, open, user, collaborative, design-driven, service, process and product, etc), as well as the different contexts where the innovations are developed, e.g. by firms as an instrument of competition, by non-profits organizations as an instrument for the improvement of their services or for reducing their costs, by users with the objective of being used. At the same time, the speed in which technology is advancing increases day by day. Artificial intelligence, robotics, and big data have made an impact across all industries. As technology evolves, companies are exploring new ways to improve their offerings and revolutionize their industry. In all these different contexts innovations are shaped by economic factors affecting the way they are conceived, developed, implemented or accepted by their markets and its users.
This course enables students to understand the fundamental principles and main concepts of managing innovation, including some fundamental management frameworks, as well as the different ways of developing and managing an innovative culture, with a focus on the healthcare context. It will also provide students with a set of tools that will allow them to analyze innovations and contribute to their managerial decision processes from this economic perspective.
General characterization
Code
2625
Credits
7
Responsible teacher
Pedro Oliveira | Leid Zejnilovic
Hours
Weekly - Available soon
Total - Available soon
Teaching language
English
Prerequisites
n/a
Bibliography
Bibliography is detailed for each of the lectures.
Teaching method
This course includes lectures, case-studies, presentations by and interactions with practitioners, project supervision. The course is project-based. Students, organized in groups, will address a specific innovation challenge or societal problem (or alternatively focus on the projects that started in the 1 semester); st Lectures will be the predominant form of presentation and will be complemented by a variety of teaching approaches including discussion of case studies and in-class exercises; A full interchange between the instructor and the participant is expected. Preparation before class is of crucial importance; The course will also benefit from guest lecturers who will visit the class to share their experience in managing innovation.
Evaluation method
The final grade is based on the group project (65%) and a final individual exam (35%).
Subject matter
This course has three core components, two theoretical, and one related to the application of knowledge:
1. Innovation for Social Impact
2. Data Science for Social Impact
3. Project