Team formation algorithms
How to form teams that perform efficiently, are sustainable, and ensure their members' well-being?
In the heart of efficient team formation, lies an optimization problem: who should be paired with whom? And, who should work on which part of the team project? To address this, we design algorithms and methods that bring together more harmonious and performant teams, by harnessing key behavioral and social characteristics of the candidate teammates (like personality, group dynamics, or interpersonal preferences), as well as teammate skills, availability and project preference.
In the heart of efficient team formation, lies an optimization problem: who should be paired with whom? And, who should work on which part of the team project? To address this, we design algorithms and methods that bring together more harmonious and performant teams, by harnessing key behavioral and social characteristics of the candidate teammates (like personality, group dynamics, or interpersonal preferences), as well as teammate skills, availability and project preference.
A Hierarchical Integer Linear Programming Approach for Optimizing Team Formation in Education
arXiv
Online Sequencing of Non-Decomposable Macrotasks in Expert Crowdsourcing
ACM Transactions on Social Computing
Optimizing Team Formation in Educational Settings
AAAI Conference on Human Computation and Crowdsourcing
Team Dating Leads to Better Online Ad Hoc Collaborations
ACM Conference on Computer Supported Cooperative Work
Personality Matters: Balancing for Personality Types Leads to Better Outcomes for Crowd Teams
ACM Conference on Computer Supported Cooperative Work
Task assignment optimization in knowledge-intensive crowdsourcing
VLDB journal
arXiv
Online Sequencing of Non-Decomposable Macrotasks in Expert Crowdsourcing
ACM Transactions on Social Computing
Optimizing Team Formation in Educational Settings
AAAI Conference on Human Computation and Crowdsourcing
Team Dating Leads to Better Online Ad Hoc Collaborations
ACM Conference on Computer Supported Cooperative Work
Personality Matters: Balancing for Personality Types Leads to Better Outcomes for Crowd Teams
ACM Conference on Computer Supported Cooperative Work
Task assignment optimization in knowledge-intensive crowdsourcing
VLDB journal
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Human agency over AI decision-making
How to design AI systems and algorithms that give users control while maintaining performance?
Giving users autonomy over algorithmic decision-making improves performance and satisfaction, especially in creative and open-ended collaborative work. It also permits users to adapt their strategy in handling the task, increase intrinsic motivation, and give personal meaning to work.
We actively explore integrating human agency into algorithms, particularly those designed to support team processes, eventually developing novel user-centered, and bottom-up or hybrid solutions.
Giving users autonomy over algorithmic decision-making improves performance and satisfaction, especially in creative and open-ended collaborative work. It also permits users to adapt their strategy in handling the task, increase intrinsic motivation, and give personal meaning to work.
We actively explore integrating human agency into algorithms, particularly those designed to support team processes, eventually developing novel user-centered, and bottom-up or hybrid solutions.
From explainable to interactive AI: A literature review on current trends in human-AI interaction
International Journal of Human-Computer Studies
Self-Organization in Online Collaborative Work Settings
SAGE/ACM Collective Intelligence
Crowdsourcing Team Formation with Worker-Centered Modeling
Frontiers in AI
International Journal of Human-Computer Studies
Self-Organization in Online Collaborative Work Settings
SAGE/ACM Collective Intelligence
Crowdsourcing Team Formation with Worker-Centered Modeling
Frontiers in AI
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Novel forms of collaboration
What is the next generation of collaborative systems?
Emerging paradigms like platform work and crowdsourcing give room to new forms of collaboration. We study how people use these new paradigms to connect, upskill, reskill, and leverage their collective potential.
Emerging paradigms like platform work and crowdsourcing give room to new forms of collaboration. We study how people use these new paradigms to connect, upskill, reskill, and leverage their collective potential.
The Dawn of Crowdfarms
Communications of the ACM
Macrotask Crowdsourcing: Engaging the Crowds to Address Complex Problems
Springer
Macrotask Crowdsourcing: An Integrated Definition
Springer
The Changing Landscape of Crowdsourcing in China: From Individual Crowdworkers to Crowdfarms
Computer Supported Cooperative Work and Social Computing
Unleashing the Potential of Crowd Work: The Need for a Post-Taylorism Crowdsourcing Model
M@n@gement
In Their Shoes: A Structured Analysis of Job Demands, Resources, Work Experiences, and Platform Commitment of Crowdworkers in China
GROUP
Communications of the ACM
Macrotask Crowdsourcing: Engaging the Crowds to Address Complex Problems
Springer
Macrotask Crowdsourcing: An Integrated Definition
Springer
The Changing Landscape of Crowdsourcing in China: From Individual Crowdworkers to Crowdfarms
Computer Supported Cooperative Work and Social Computing
Unleashing the Potential of Crowd Work: The Need for a Post-Taylorism Crowdsourcing Model
M@n@gement
In Their Shoes: A Structured Analysis of Job Demands, Resources, Work Experiences, and Platform Commitment of Crowdworkers in China
GROUP
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Collaborative innovation
How can technology strengthen the innovation capacity of teams and help them think better outside the box?
The majority of the tasks our algorithms are designed to optimize are creative, ill-structured, and open-ended.
The majority of the tasks our algorithms are designed to optimize are creative, ill-structured, and open-ended.
Modular Crowd Workflows for Open Innovation.
Managing Digital Open Innovation
When Crowds Give You Lemons: Filtering Innovative Ideas using a Diverse-Bag-of-Lemons Strategy,
ACM CSCW
Innovation Labs: 10 Defining Features
Stanford Social Innovation Review
Innovation Labs: Leveraging Openness for Radical Innovation?
SSRN
Managing Digital Open Innovation
When Crowds Give You Lemons: Filtering Innovative Ideas using a Diverse-Bag-of-Lemons Strategy,
ACM CSCW
Innovation Labs: 10 Defining Features
Stanford Social Innovation Review
Innovation Labs: Leveraging Openness for Radical Innovation?
SSRN
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Human-AI collaboration
What can mixed human-AI teams produce? What roles can AI play in empowering human teams and augmenting their collaborative capabilities?
Bike-Bench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints
NeurIPS
Prompting for Products: Investigating Design Space Exploration Strategies for Text-to-Image Generative Models
Design Science
Beyond "Just" Text: Can an AI-Generated Graphic Novel Enhance the Reading Experience of Non-Native English Readers?
Mensch und Computer
Cad-prompted generative models: A pathway to feasible and novel engineering designs
ASME 2024 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference
Crowd-AI Teams for Engineering Product Design
Project funded by the MIT-Netherlands Lockheed Martin Seed Fund
In collaboration with the MIT Decode lab and UCSD Protolab, in this project we work on developing novel Human-AI collaborative methods for product design, using an approach that combines deep generative machine learning with human-centered design.
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NeurIPS
Prompting for Products: Investigating Design Space Exploration Strategies for Text-to-Image Generative Models
Design Science
Beyond "Just" Text: Can an AI-Generated Graphic Novel Enhance the Reading Experience of Non-Native English Readers?
Mensch und Computer
Cad-prompted generative models: A pathway to feasible and novel engineering designs
ASME 2024 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference
Crowd-AI Teams for Engineering Product Design
Project funded by the MIT-Netherlands Lockheed Martin Seed Fund
In collaboration with the MIT Decode lab and UCSD Protolab, in this project we work on developing novel Human-AI collaborative methods for product design, using an approach that combines deep generative machine learning with human-centered design.
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