Objectifs :
Develop and refine your project development skills by mastering techniques to:
• Identify the pertinent questions
• Recognize the relevant facets of a question
• Reduce the complexity of problems
• Break down complex projects into independent modules while preserving a clear view of overall goals and their interconnections
• Identify efficient solving strategies
• Facilitate effective brainstorming sessions
• Communicate your reflections and decisions efficiently to your supervisor, and colleagues

Programme :
A PhD is a challenging journey in which efficient problem-solving is key to making it both productive and fulfilling. Your objective is not only to answer your scientific questions but also to address broader challenges, such as effectively communicating your vision for complex problems and solutions, aligning stakeholders, and preventing or resolving frictions during project development. Mastering clear and effective problem-solving techniques will help you achieve these goals, accelerate the progress of your scientific projects, and help you navigate similar challenges in the future.
During this training, you will learn how to:
• identify, formally analyze, and communicate both scientific and non-scientific problems
• evaluate different strategies for solving these problems
• facilitate and effectively integrate insights (e.g., colleagues’ input) into your strategies
We will illustrate these techniques through actual use cases that you may currently face or encounter in the future, ranging from experimental design strategies to career choices, as well as one of your own real problems.
This training will equip you with essential skills to enhance your PhD experience and effectively develop projects in any environment.

Content
• Day 1 (in person from 9:00 to 16:00)
o What makes a question relevant?
o Why is it important to define the domains and social structures of problems?
o How can you move from broad objectives to operational objectives and concrete actions?
o How to systematically document and communicate the current understanding of a problem and adapt this understanding as changes occur?
o How do you select the best course of action?
• Day 2 (in person from 9:00 to 16:00)
o Summary of the entire procedure
o Practice on one of student’s real projects
• One-to-one online meeting (optional)
o After the in-person sessions, we can discuss your project in a one-to-one online meeting lasting about 20 to 30 minutes.

Pré-requis :
non

Equipe pédagogique :
Company: Arthur Breuil and Julien Massoni set up Lekiro to develop training programs focused on data analytics and their application in analytical thinking and decision making. Their partnership bridges industry and academic cultures to develop projects at the interface of these two worlds. Arthur has a background in software engineering within the tech industry, with experience in Information Technology and green finance. Julien has a background in biology and specializes in data analytics to address scientific questions and more rational decision-making. Instructor: Julien Massoni will be the instructor for the following course. In his work at Lekiro and ETH Zurich, he aims to identify important concepts in data analytics that are often misunderstood or underused despite their significance for facilitating more efficient decision-making in project development and teamwork. He is searching for the most effective ways to teach these concepts and techniques to a wide audience, including those with and without a scientific background.

Méthode pédagogique :
Participants in the course will engage in group discussions, individual tests, and case studies to understand the various challenges of problem-solving and solutions to address them. The goal is to provide attendees with the opportunity to personally experience the usage of these solutions rather than presenting them as theoretical concepts.
The training will be delivered by a member of the company Lekiro (https://www.lekiro.com).

Compétences acquises à l'issue de la formation :
• identify, formally analyze, and communicate both scientific and non-scientific problems
• evaluate different strategies for solving these problems
• facilitate and effectively integrate both objective data analyses and subjective insights (e.g., colleagues’ input) into your strategies.

Les Compétences et capacités visées à l'issue de la formation (fiches RNCP)

Arrêté du 22 février 2019 définissant les compétences des diplômés du doctorat et inscrivant le doctorat au répertoire national de la certification professionnelle. https://www.legifrance.gouv.fr/loda/id/JORFTEXT000038200990/

Bloc 1 : Conception et élaboration d’une démarche de recherche et développement, d’études et prospective

- Identifier et résoudre des problèmes complexes et nouveaux impliquant une pluralité de domaines, en mobilisant les connaissances et les savoir-faire les plus avancés

Compétences sociales

- Adaptation ; Persévérance ; Résilience ; Gestion du changement et de l'échec ; Engagement

- Créativité, capacité à imaginer et formuler des idées originales ; Souplesse d'esprit et ouverture à la nouveauté

La formation participe à l'objectif suivant :être directement utile pour la réalisation des travaux personnels de recherche