
Citizen Science
Code: 106962Credits: 6
| Degree programme | Type | Course |
|---|---|---|
| Management of Smart and Sustainable Cities | OP | 4 |
Contact lecturer
- Name :
- Fernando Luis Vilariño Freire
- Email :
- fernandoluis.vilarino@uab.cat
Group languages
You can consult this information at the end of the document.
Prerequisites
There are no prerequisites for this subject.
Objectives
In the subject "Models of Urban Innovation and Citizen Science", a set of practical case studies will be developed by the students. The course delves and deepens into the Open Innovation methodologies and tools, which will be applied in the case studies developed in the territory. It is a subject with a practical vision that studies real examples of multi-stakeholder citizen-centric Open Innovation, and its connection with the generation of knowledge through Citizen Science. Students will have the possibility of using the framework fof the subject to develop action research, particularly in the context of the social impact of the digital transformation, using Living Labs and Citizen Science as the main reference in course.
The specific objectives are:
- To deepen into the theoretical corpus on open innovation.
- To develop the analytical capacity of students on the challenges of innovation in cities and rural areas from a sustainability perspective.
- To provide a critical approach, from a practical perspective, on the processes of transformation of cities -mainly the digital transformation- and its consequences of social transformation.
- To develop a critical approach about the impact of innovation on the citizen, and on the role of the citizen in the innovation processes through a multi-stakeholder citizen-centric approach.
- To provide students with the context of development, tools, and experience for the design, management and the scaling-up of the results of Citizen Science processes.
- To develop the ability of students to design, develop and scale up the results of the tasks associated with open innovation processes, in the context of Living Labs as research and innovation infrastructures.
The generic objectives are:
- To prepare future leaders and managers responsible for the development of open innovation processes from a perspective of technical quality.
- To provide the future leaders of urban innovation processes with a critical vision of the role of the citizen and the socio-economic transforming power of multi-stakeholder citizen-centric innovation.
- To provide a practical basis for thelearning framework of students around innovation management processes.
Learning outcomes
- CM24 (Propose projects and actions whose evaluation includes not only the potential economic benefits but also the social and environmental ones.) Propose projects and actions whose evaluation includes not only the potential economic benefits but also the social and environmental ones.
- KM30 (Identify the roles of citizens as actors in city innovation, as well as those of the administration and companies.) Identify the roles of citizens as actors in city innovation, as well as those of the administration and companies.
- SM29 (Argue one's own projects including equity and sustainability in the evaluation criteria of the expected results.) Argue one's own projects including equity and sustainability in the evaluation criteria of the expected results.
Contents
Lecture 1: Building blocks of Citizen Science
Lecture 2: Public engagement in Science. A challenge-based research perspective
Lecture 3: Approaches, typology and modern trends
Lecture 4: Analysis in depth: Expected impact(s) from citizen engagement
Lecture 5: Multidisciplinarity of citizen science projects. Citizen social science
Lecture 6: Designing a citizen science project: lifecycle
Lecture 7: Analysis in depth: The art of designing a citizen science project
Lecture 8: Crowdsourcing for citizen science. Data management, regulation and ethical dimension
Lecture 9: Volunteer engagement, motivation, rewards, management and care
Lecture 10: Analysis in depth: Deploying the project in the field
Lecture 11: The marriage of citizen science and Living labs: From knowledge to innovation
Lecture 12: Evaluation and impact assessment of citizen science projects
Lecture 13: Analysis in depth: Measuring and evaluating
Deliverable: Presentations of the Assignments from the Students
Learning activities and methodology
| Title | Hours | ECTS | Learning outcomes |
|---|---|---|---|
| Analysis of the Case Studies | 10 | 0.4 | KM30 |
| Lectures of Theoretical Foundations | 15 | 0.6 | CM24, KM30, SM29 |
| Open Debates with Specialists | 10 | 0.4 | KM30, SM29 |
| Project Development | 18 | 0.72 | CM24 |
| Development of the Case Studies (individual and collective) | 37 | 1.48 | CM24, SM29 |
| Impact Analysis of the Innovation Process (individual and collective) | 30 | 1.2 | KM30, SM29 |
| Individual Estudi | 20 | 0.8 | CM24, KM30, SM29 |
The course is based on a practical implementation aimed at challenge-based porblem solving and learning.
The teaching will be based around representative cases of urban innovation processes. The students will receive the theoretical contents contextualized in these cases. Renowned experts will provide open discussions during class hours with the aim of generating a modern and real-world critical vision.
Students will participate actively through field trips, in real open innovation and citizen science projects in urban environments, through the case studies. Students will participate in all parts of the project's life-cycle, and will have assigned specific roles, so that their teaching experience will be implemented in a living lab model approach.
From these actions, students will perform a sprint process based on agile methodologies to generate a delivarable for each case study, interacting with stakeholders under the supervision of the teaching staff. The student must support the case studies with individual and group work in order to obtain 2 deliverables that will be evaluated separately. From these deliverables, an evaluation of contents and impact of the project will be carried out, in such a way that students must demonstrate their ability to manage the innovation process, and measure its socio-economic and transformation impact.
This methodological vision allows working cooperatively in complex or uncertain environments and with limited resources, in a multidisciplinary context, assuming and respecting the role of the different members of the team.
The analysis of the case studies will allow developing creativity, initiative, and sensitivity towards social and environmental issues. The high practical content allows generating innovative and competitive proposals in their future professional activities, since all the processes are carried out within projects of real cities and rural surroundings. This allows to preventand solve problems, adapt to unforeseen situations, make decisions, and critically assess the work done demonstrating a spirit of improvement to develop innovation-led growth and positive social transformation hand in hand. The inclusion of social impacts of AI (including the responsible use of AI tools for professional-quality deliverables), as well as the role of women and gender perspective will be highly considered.
Leading figures in the field will be identified and invited to give talks in class, including a gender perspective in the debates.
The use of all technologies will be encouraged, including advanced artificial intelligence systems.
Assessment
Continuous assessment activities
| Title | Weight | Hours | ECTS | Learning outcomes |
|---|---|---|---|---|
| Deliverable of the state of the art (SoA) | 30% | 4 | 0.16 | KM30 |
| Deliverable of the paper with the innovation proposal (PI) | 50% | 4 | 0.16 | CM24, KM30, SM29 |
| Final presentation (Pr) | 20% | 2 | 0.08 | SM29 |
There will be 2 deliverables for evaluation:
- Deliverable of the state of the art (SoA).
- Deliverable of the article on the innovation proposal (IP).
- Final presentation (Pr).
The final grade will be the result of applying the following formula:
FINAL SCORE = SoA*0.30 + PI*0.50 + Pr*0.20
To pass, it is necessary that the evaluation of each of the parties exceeds the minimum required (5) and that the total evaluation exceeds 5 points. In case of not passing the subject, the numerical note of the student's file will be the lower value between 4.5 and the weighted average of the notes. There is no option for single evluation.
Positive contributions in the discussions will round up the decimals. To qualify for the Matrícula d'Honor (with honors) it is necessary to have a participative attitude in the class discussions. The maximum number of Matrículas d'Honor is restricted by the UAB regulation to a maximum of 5% of the students enrolled in the subject. They can only be granted to students who have obtained a final grade equal to or greater than 9.
In case of not passing in any of the deliveries, the student will have the opportunity to recover the partial mark by sending back the corrected document before the day determined by the teacher. Repeating students may validate the parts approved in previous years.
A student will be considered non-assessable if he or she does not complete SoA or PI.
The dates for continuous evaluation and submission of works will be published on the website Caronte (http://caronte.uab.es) and may be subject to changes for reasons of adaptation to possibleincidents. Caronte will always inform about thesechanges since it is understood that the Caronte website is the usual mechanism for exchanging informationbetween teacher and students.
For each evaluation activity, a place, date and time of revision in which the student can review the activity with the teacher will be indicated. In this context, claims may be made on the activity grade, which will be evaluated by the faculty responsible for the subject. If the student does not appear in this review, this activity will not be reviewed later.
Without prejudice to other disciplinary measures deemed appropriate, and in accordance with current academic regulations, any irregularities carried out by the student that could lead to a variation of the grade of an evaluation act will be scored with a zero. Thus, plagiarizing, copying or allowing a document to be copied or any other evaluation activity will involve failing with a zero and will not be able to be passed in the same academic year.
Bibliography
- Eric von Hippel. Democratizing Innovation. MIT Press 2005.
- Henry Chesbrough, Wim Vanhaverbeke and Joel West. Open Innovation: researching a new paradigm. Oxford University Press. 2006.
- Ash Maurya. Running Lean. O'Reilly 2012.
- Tim Brown. Change by Design. Harper Collins, 2009.
- Thomas Lockwood. Design Thinking. Integrating Innovation, Costumer Experience, and Brand Value. Alworth Press. 2009.
- Anna Ståhlbröst and Marita Holst. The Living Lab Methodology Handbook. Luleå University Press. 2012.
- Penny Evans, Dimitri Schuurman, Anna Ståhlbröst and Koen Vervoort. Living Lab Methodology Handbook. U4IoT Consortium. 2017.
- Citizen Science: Innovation in Open Science, Society and Policy. UCL Press. 2018.
Software
- LaTeX: Software for professional text processing. https://www.latex-project.org
- Overleaf: Web tool for LaTeX edition. https://www.overleaf.com
Course groups and languages
The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE
| Type of teaching | Group | Language | Semester | Shift |
|---|---|---|---|---|
| (TE) Theory | 61 | Catalan | second semester | morning-mixed |
| (PLAB) Practical laboratories | 61 | Catalan | second semester | morning-mixed |
| (PCAM) Field practices | 61 | Catalan | second semester | morning-mixed |