Concept

Team building

Related publications (22)

Equity ownership and identification with the founding team

Founders benefit from identifying with their founding teams because identification facilitates cooperation in the team, aligns founders' actions with the norms and interests of the team, and, ultimately, enhances team performance. High identification with ...

Hoboken2024

How to Support Students to Cultivate Psychological Safety in their Teams

Francesco Mondada, Yousef Jalali

The importance of psychological safety in teams has been demonstrated in different settings. Team performance improves when team climate allows team members to be their authentic selves, to ask questions and raise concerns comfortably. However, it is less ...

EPFL2024

FROM GROUP WORK TO TEAM WORK: COMPARATIVE ANALYSIS IN THREE EUROPEAN INSTITUTIONS

Stéphane Perrin

Addressing the complex challenges of sustainability demands for good teamwork abilities for future technicians and engineers. In our three institutions we adopted project-based learning to facilitate the development of these skills – but is this enough? Si ...

2023

Logical Team Q-learning: An approach towards factored policies in cooperative MARL

Ali H. Sayed, Lucas Cesar Eduardo Cassano

We address the challenge of learning factored policies in cooperative MARL scenarios. In particular, we consider the situation in which a team of agents collaborates to optimize a common cost. The goal is to obtain factored policies that determine the indi ...

MICROTOME PUBLISHING2021

Developing STEM and Team-working Skills Through Collaborative Space Robotics Missions

Francesco Mondada, Evgeniia Bonnet

Building on the success of the first North-South cross-continental collaborative educational robotics mission held in November 2015 [1], this paper presents a practical model for scaling the event up into a program for developing countries, particularly th ...

IEEE2021

Team Policy Learning For Multi-Agent Reinforcement Learning

Ali H. Sayed, Sulaiman A S A E Alghunaim, Lucas Cesar Eduardo Cassano

This work presents a fully distributed algorithm for learning the optimal policy in a multi-agent cooperative reinforcement learning scenario. We focus on games that can only be solved through coordinated team work. We consider situations in which K player ...

IEEE2019

At the Origins of Learning: Absorbing Knowledge Flows from within the Team

Fabiana Visentin, Charles Chadi Ayoubi, Michele Pezzoni

Empirical studies document a positive effect of collaboration on team productivity. However, little has been done to assess how knowledge flows among team members. Our study addresses this issue by exploring unique rich data on a Swiss funding program prom ...

Elsevier2017

R&D Team Diversity and Performance in Hypercompetitive Environment

Marc Gruber, Annamaria Conti

Research summary: This article examines the effects of an R&D team's composition on its performance outcomes in hypercompetition. The fundamental feature of firms in hypercompetitive settings is that they are constantly challenged to improve their competit ...

2017

Information Structure Design in Team Decision Problems

Maryam Kamgarpour, Tyler Summers

We consider a problem of information structure design in team decision problems and team games. We propose simple, scalable greedy algorithms for adding a set of extra information links to optimize team performance and resilience to non-cooperative and adv ...

2017

The symmetry of partner modelling

Pierre Dillenbourg, Nicolas Nova, Séverin Lemaignan, Mirweis Sangin, Gaëlle Molinari

Collaborative learning has often been associated with the construction of a shared understanding of the situation at hand. The psycholinguistics mechanisms at work while establishing common grounds are the object of scientific controversy. We postulate tha ...

Springer2016

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