Course description

The workshop intends to assemble free-spirited students, and researchers from broad scientific backgrounds to conceive creative projects at the interface with Life, Learning and Digital Sciences.

The CIRP workshop attempts to provide the primary basis for collegiality and communication through dialogue and brainstorming on open questions in Life Sciences, Education Design, Entrepreneurship...

Course objective

• Focus on an important question and to define the means to approach it from different angles.
• Zoom out (have a broader view) and zoom in (be precise and define the key points)
• Think and express your ideas more clearly.
• Gain confidence in your ideas.
• Discuss, reject or accept ideas.
• Learn to take constructive scientific criticisms
• Learn how to write a research proposal.
• Discuss the questions thoroughly.
• Learn to interact with people from different backgrounds.

Key concepts

Seminars; Groupe work; Icebreaking

Course description

This course is built of a series of seminars, each prepared by two students from different backgrounds, presenting in detail an interdisciplinary research paper. The explicit or underlying hypothesis, background and the results are discussed in detail and the different techniques explained. In addition, the students are asked to integrate questions coming from the other students on the online course forum and suggest further experimental/modeling approaches with respect to their conclusions from the paper at stake. All students participate weekly in the course forum, contributing their insight and questions on the article at hand.

Course objective

• Understand the format of a scientific article;
• Develop interdisciplinary critical reading habits;
• Share methods and concepts and develop a common;
• Understand how researchers use the scientific literature;
• Develop self-confidence (intuitions, search for coherence, in-depth questions) and develop his - her research capacity and scientific culture through exchange and peer-to-peer training.

Key concepts

Scientific reading; Critical discussion; Methodology; Epistemology; State of art

Skills

Knowledge skills

• Explore current topics of research, in the Digital sciences field
• Acquire the form of scientific reasoning and its formatting in a published paper
• Be able to reproduce the pattern and the type of rational arguments (data-based, evidence-based, modelization…)

Operational skills

• Be able to discuss the value of a dataset, in a specific context and using an explicit processing method
• To practice assessing the reproducibility of scientific exploration (as summarized in an article)
• To know how to dialogue (in peer to peer, with teachers), to experience the heuristic and learning value of the discussion on articles

Reflective skills

• Identify and formulate questions: performance of techniques and ethical and social values; social value of connected objects...
• Identify links between your concerns (areas of interest, project, scientific and technical questions) and the themes illustrated by the articles
• Take ownership of key topics, from the perspective of your own research, and start to build the literature review from these strength lines

Course objective

Develop students' ability to (i) find relevant and broad literature on a scientific subject of their choice, (ii) deepen the background of this subject, (iii)) prepare a state of the art, useful to the thesis project or personal research project, (iv) experiment the reviewing, (v) experiment new ways to represent a complex information (data visualization).

Key concepts

Bibliographic research methods; Annotation; Peer to peer review

Skills

Knowledge skills

• experiment with documentary research methods based on metadata and query languages
• learn through critical commentary and open contribution

Operational skills

• arrange a bibliographic search (table, list, writing, visual representation)
• organize the sharing of open resources (choice of a publication mode open for reuse)
• explore peer-reviewed titles, search scientific data in open data, open-source and open-access databases

Reflective skills

• understand the debates on open access
• manipulate complex information (written, summarized, reduced to data and links...)
• advance in his/her understanding of interdisciplinary sciences

Cooperative skills

• understand Peer to Peer as the foundation of scientific communities

Course description

The Advanced Computing module is organised as a set of different courses and workshops supervised by specialists so that students can have a theoretical and hands-on overview of important digital topics.

The topics covered can be fundamental subjects to know for computer scientists (modelisation, databases, security, network...) or much more advanced topics (quantum computing, blockchain, IoT...)

Students who wish to explore one or more specific themes will have later the opportunity to do so with a mentor during projects or internships.

Course objective

Students must acquire and develop the intellectual agility so they can discover and implement new concepts, either simple or advanced, in digital sciences.

Key concepts

IT concepts and practise: fundamental and advanced

Course description

The course as part of the Student Development Courses unit, is a 3-month program to discover the basics and key challenges of entrepreneurship. Taught by entrepreneurs and experts, you will have an extensive description of all the indicators one should monitor when launching a new company.

Course objective

The students will improve their knowledge of entrepreneurship and project development. There are 3 major objectives of the course: be able to build a business model, design a proof of concept or minimum viable product and elaborate a budget.

Key concepts

Entrepreneurship; Business model generation; Agile methodology; Scale-up & industrialization; Product development; IP strategy

Skills

Knowledge skills

• Knowledge of entrepreneurship
• Knowledge of deep tech ecosystem
• Knowledge of Intellectual property

Operational skills

• Be able to build a business model
• Design a proof of concept or minimum viable product
• Elaborate a budget

Course description

The Advanced Computing module is organised as a set of different courses and workshops supervised by specialists so that students can have a theoretical and hands-on overview of important digital topics.

The topics covered can be fundamental subjects to know for computer scientists (modelisation, databases, security, network...) or much more advanced topics (quantum computing, blockchain, IoT...)

Students who wish to explore one or more specific themes will have later the opportunity to do so with a mentor during projects or internships.

Course objective

Students must acquire and develop the intellectual agility so they can discover and implement new concepts, either simple or advanced, in digital sciences.

Key concepts

IT concepts and practise: fundamental and advanced

Course description

This course proposes to acquire the “scientific approach” for digital projects. You will have to describe a research protocol (from a computer sciences approach) in order to prove the effectiveness of your tools, methods, used in your digital project. This course will combine theoretical and project-based learning.

Course objective

At the end of this course, the student will know how to build a research protocol, and how to write a scientific paper, and to submit papers for computer sciences conferences. The student will also have written a research protocol associated with their own Master thesis project, or/and PhD or professional project.

Key concepts

Scientific methods; Research protocol; Scientific approach; Scientific tools

Skills

Knowledge skills

• follow a scientific protocol from different scientific domain
• process scientific data
• write a scientific article

Operational skills

• describe a research protocol
• set-up a scientific experimentation
• retrieve and analyze experimental data
• translate the results into a scientific article

Reflective skills

• implement a scientific approach into your project
• develop a scientific and technical state-of-the-art
• adapt a proper research protocol

Cooperative skills

• develop a communication plan
• generate discussion about the scientific protocol
• generate discussion about the results
• organize discussion groups and scientific talks

Course description

This course allows students to review the knowledge required for project management:

• requirement analysis
• design thinking methodology
• specifications (analysis, writing, evaluation…)
• technical and business writing
• acceptance phase
• risk management
• agile methodologies
• quality management
• maintenance
• testing tools and methodologies
• cost, human resources, tasks, time management
• security, ethics by design
• managing a projects portfolio
• methodological and IT tools
• etc.

Research, product or service type projects will be discussed.

Course objective

Students will be familiar of the main lines of project management so they can apply what they have learned to their own projects or those in which they will participate.

This course will therefore include a theoretical but above all practical part, in the form of use cases, serious games or follow-up sessions on students' real projects.

The management of multiple projects will also be discussed.

Key concepts

Project management

Course description

Masterclasses in Digital Sciences will be organized by the students according to their interests.

Course objective

In addition to discovering or deepening the subjects discussed by the invited speakers, students will develop their skills related to the organisation of an event.

Key concepts

Event organisation; misc. subjects

• This is the first of the two mandatory internships in our M2, and it must be performed in the Parisian area as it is mandatory to follow first semester courses at CRI. It is an internship of 4 or 5 months in the company/lab/NGO of your choice, and you will defend it with an oral presentation during a public event that you will organise with your M2 colleagues and with students from the FIRE doctoral school: the Thematic Workshops.
• Students entering directly into Master 2 may follow all or part of the Semester 1 courses instead of having one internship in Semester 3.

This is the second mandatory internship that you will have to perform in M2. It can be done abroad. It is an internship of 4 or 5 months in the company/lab/NGO of your choice, and you will defend it at the end of the year in late June - early July with a poster presentation.

Teaching modules and a full immersion into biotech, medtech and eHealth technological entrepreneurship. Students acquire tools to undertake entrepreneurial projects they start to develop during the training. First period from October to December is organized as follows:

· Upon arrival, students are assigned (by choice) in groups to hospital services where they will audit the service in which they will be immersed for two weeks. This design thinking phase will be supervised by Schoolab (https://theschoolab.com/) and will last three weeks. At the end of this phase, each group will have a specific project on which the evaluations of the theoretical courses will be based. In addition, the implementation of a solution to this project will have to be proposed and studied, in particular its commercial aspect, and will be evaluated at the end of the first period (P1).

· Statistics and computer vision: The content of this course will be adapted to the profile of the students. Two parallel courses could be considered with different teachers, one for non-scientists and a more advanced course for students already familiar with statistics and signal analysis and processing.

· A specific course on the scientific aspects of biotechnologies, adapted to the students' profile.

· Drug discovery process and antibody therapy : Jean-Philippe Annereau and Luis Briseno-Roa (Co-founders of MedetIA and former Director and Deputy Director of Alexion Research France)

· Health economics : Nicolas Sirven (MdC Faculté d’économie et de droit de Paris-Descartes).

· Health legislation : Clémentine Lequillerier (MdC Faculté d’économie et de droit de Paris-Descartes).

· Deeptech ecosystem, fundraising, HR issues, feedback from successful star-ups : Robert Marino (Co-founder & director at Deeptech Founders) as part of the partnership with DeepTech Founders.

· Entrepreneurial finance and legal management of innovation (creation, IP, business plan, etc) : Nicolas Ivaldi (Attorney, EY ventury).

The second period (P2) from January to September is organised as follows:

· Ethical and industrial aspects of entrepreneurship.

Two options possible for students :

· A classic internship in a structure related to health entrepreneurship (incubator, start-up, etc...)

· The « Imagine bioentrepreneurs launchpad » organised by Imagine institute.

Students will be encouraged to apply for the Chair of innovation management and healthcare performance by Gregory Katz to complete their training.