New publication – Social Networks for Archaeological Research

A new review paper by Stefani Crabtree, a Short-term Fellow at CRI Research, and collaborators just appeared in the Springer Encyclopedia of Global Archaeology. It discusses the use of network science by archeologists. You can find the full text here


Archaeologists reconstruct the activities and interactions of individuals using the accumulated material culture of the past, yet detecting these interactions can be difficult using traditional archaeological analytical tools. The development of a methodological framework emerging from graph theory, coupled with the growth of computational power and a growing multidisciplinary theoretical framework aimed at interpreting these analyses, have eased the difficulties of uncover ing, analyzing, and interpreting networks in the past. From examining physical locations of sites and how they interact together to examining trade routes and migration pathways, and the exchange of ideas across time and space, network approaches have infiltrated archaeology and grown exponentially in published studies. As computational power increases, and the use of large datasets that have unequal structure or resolution become easier and more common, network studies will undoubtedly shed further light on the archaeological past. These approaches may well herald new interdisciplinary collaborations and allow archaeologists to use these models of past social networks to understand our present and future.

New publication – ageing in bacteria

A new paper on ageing in bacteria by former (Ulrich K. Steiner, Ming Ni, Peipei Chen, Xiaohu Song) and current (François Taddei, Ariel B. Lindner) researchers from CRI. It used experimental data and mathematical approaches to show that the pattern of ageing in bacteria (specifically E. coli) can be explained by two stochastic processes.  

The full text of the study is available here  


Despite advances in ageing research, a multitude of ageing models, and empirical evidence for diverse senescence patterns, understanding of the biological processes that shape senescence is lacking. This work shows that senescence of an isogenic Escherichia coli bacterial population results from two stochastic processes. The first process is a random deterioration process within the cell, such as generated by random accumulation of damage.  The second process relates to the stochastic asymmetric transmission at cell fission of an unknown factor that influences mortality. The work calls for exploration of similar stochastic influences that shape ageing patterns beyond simple organisms.

New Publication – Fragility of meta-analyses

A new study by Ignacio Atal, a Long-term Fellow at CRI Research, and collaborators from Hôpital Hôtel-Dieu, just appeared in the Journal of Clinical Epidemiology. It shows how the statistical significance of meta-analyses can be fragile if you modify single events in the studies included in the meta-analysis. 

The full text of the study is available here

Meta-analyses inform clinical practice by summarising treatment effect using results from multiple trials. However, the statistical significance of such meta-analysis, may rely on the outcome of only a few patients from specific trials included. The study evaluates this effect by defining the Fragility Index of meta-analyses, simply a minimal number of changes in the patient outcome (e.g. cured vs. not cured), that would change the study conclusions. Among 906 meta-analyses considered, the median Fragility Index was 12, but for about 30% of studies it was 5 or less. This indicates overall fragility of the outcomes of meta-analysis to small changes in the specific studies considered. 

The authors also created a website that allows other scientists to evaluate the fragility of their meta-analyses. 

New Publication: Wearable devices in medicine

A new study by Anirudh Krishnakumar, a PhD student at CRI research, and collaborators from Child Mind Institute and Nathan S. Kline Institute for Psychiatric Research in New York, just appeared in npj Digital Medicine. 

The full text of the study is available here

The study examines wearable devices for tracking hand position in relation to the head, which can be used to monitor body-focused repetitive behaviors (BFRBs), recurrent, injurious behaviors directed toward the body, such as nail biting and hair pulling. The researchers found that using a new device, called Tingle, which includes thermal sensors achieves significantly higher accuracy in position tracking than past methods. These results demonstrate the importance of thermal sensors for position tracking and the suggest future applications of the Tingle wearable device in a wide variety of settings. 

12 month post-doc, bioinformatics against antimicrobial resistance, available now

We are looking for a motivated post-doc to work on an innovative project about understanding molecular determinants of antimicrobial resistance (AMR) in non-tubercular mycobacteria.

You will specifically focus on:

(i) developing bioinformatics/statistics methods to create marker panels for mycobacteria and genotype-phenotype correlation studies for multi-drug resistance.

(ii) multi-omic disease network analysis to understand emergence of AMR.

(iii) developing a pipeline and workflow system for species and strain delineation and variant clustering.

You can read more about the project here.

The project is led by Dr. Anshu Bhardwaj, a Long-term Fellow at the Center for Research and Interdisciplinarity. Besides working within her team, you will be embedded an exciting new research collaboratory (collaborative laboratory), on the interface of life, learning and digital sciences. We are located in the center of Paris, at the Center for Research and Interdisciplinarity.

Essential Requirements:

  • PhD in Bioinformatics, computational biology, datamining, biostatistics, population and/or statistical genetics, or equivalent.
  • Good programming skills (perl/python/java/C++ etc, SQL, R), proficiency in Unix/Linux and cluster experience.
  • Prior experience working with omics data analysis (WGS  metagenomics, RNA-seq, genotyping data),or machine learning or systems biology, as demonstrated through past research accomplishments, would be ideal.
  • Good communication skills

Desirables: Experience in data mining/machine learning, biomarker detection is a plus. Knowledge of infectious disease biology will be added advantage.

Timeline: The position is available right now and will be open till a suitable candidate is identified.

How to apply: Send you CV to