We use network science and data analysis to decipher collective phenomena at biological and social scales
We develop synthetic biology tools for animal model organisms like the fruit fly Drosophila melanogaster.
The Lindner team’s main efforts rely on years of investment in building an intellectual and experimental framework based on interdisciplinary approaches, harnessing physics and computer science and on welcoming young researchers to address key questions in Life Sciences with Systems and Synthetic Biology approaches, mainly focusing on Escherichia coli as the simplest (yet still not fully understood) model organism.
We develop open and citizen science projects extended from understanding ageing to drug discovery and democratizing DNA detection to supporting Open Collaborative Efforts for Autism spectrum Network (OCEAN).
The team is at the core of building the CRI Collaboratory research effort and contributes to developing the CRI undergraduate and graduate programs as well as outreach learning through research programs across the globe. For the past 12 years, the team mentored the Paris Bettencourt iGEM team.
Our team works on using data driven and collective intelligence approaches to understand antimicrobial resistance and create awareness about this global health challenge.
Selected publications :
Kirti Pandey and Monika Sharma and Iti Saarav and Swati Singh and Prasun Dutta and Anshu Bhardwaj and Sadhna Sharma Published 01-01-2016 in International journal of mycobacteriology
Persons with cognitive disabilities rely on smart apps for entertainment communication and learning, however, today most of these apps do not collect data or are closed, which makes it impossible to quantitatively evaluate their performance and combine them.
Connect is an open database aiming at simplifying the collection and sharing of anonymous, public data.
By creating the means for interconnection and transparency, we aim at making possible a virtuous circle of app improvement:
- Users will be able to chose the best apps for their needs, and participate in research.
- Developers will be able to objectively demonstrate the quality of their apps, and integrate them within the larger ecosystem of participating apps.
- Funders will be able to measure the return on their investment, and contribute not only to the development of isolated products, but to the global improvement of an ecosystem of apps.
To demonstrate the principle of Connect we are building two open source apps in addition to the main database:
MaVoix, an application for image-based communication to help non-verbal persons with cognitive disabilities. MaVoix will log the selection and usage of images, their combinations, the moment of the day when they are used, etc. This will help us build a large description of the different cognitive profiles, and a recommendation system to improve the user’s communication possibilities.
MonQuotidien, a logger application that will allow caregivers to keep track of everyday life events. Through Connect, MonQuotidien will be able to provide a context for all other participating apps, for example, it could allow us to better tune the behaviour of MaVoix based on recent events.
All our project will be designed for open, and ment to be easily appropriated by the community.
We design DNA to create beauty, knowledge and positive change in the world.
Millions of teachers learn daily by experimenting teaching methods. However, they largely do so individually, isolated.
To be effective, teachers need reflectiveness about the effects of their experimentations, build upon each other’s successes and failures, thus integrating into a community of “teacher-researchers”.
This research group aims at catalysing their collective intelligence to co-construct digital tools and communities that will empower their collective to ever-evolve the way they teach.
We use the principles of commons-based peer-production to create knowledge from bottom-up citizen science projects.