We are a research group at Indiana University and the Instituto Gulbenkian de Ciencia working on complex networks & systems. We are particularly interested in the informational properties of natural and artificial systems which enable them to adapt and evolve. This means both understanding how information is fundamental for controlling the behavior and evolutionary capabilities of complex systems, as well as abstracting principles from natural systems to produce adaptive information technology. This theoretical and applied research agenda focuses on tackling multi-level complexity involved in human health, and is organized in three main threads: complex networks & systems, computational and systems biology, and computational intelligence. Our publications are available online.

See our current roster and information on how to join our group. We are seriously interconnected with other research groups and networks: The Center for Complex Networks and Systems (CNets), the Indiana University Networks Institute, the Cognitive Science Program, the FLAD Computational Biology Collaboratorium, the Instituto Gulbenkian de Ciência, the Champalimaud Neuroscience Program, and Centre de Physique Théorique at the Aix-Marseille Université.

Meetings for Spring 2019

The CASCI lab meets every Monday @ 13:00 in Luddy Hall, room 4004

Mailing

You are welcome to join our mailing list CASCI-L by sending an email message to list@list.indiana.edu from the address you want to subscribe to the list, with subject line: subscribe CASCI-L Firstname Lastname (leave the message body blank.) More detailed instructions are available.

Academic Documents

Forms for different stages of training at the Complex Networks and Systems track of the Informatics PhD Program; there is also a dissertation proposal set of guidelines..

CASCI Group

CASCI Group

From the left: Ian B Wood; Yizhi Jing; Thomas Parmer; Jason Yoder; Santosh Manicka; (PI) Luis M. Rocha; Rion Brattig Correia; Artemy Kolchinsky; Alex J. Gates.

Picture taken in front of the School of Informatics and Computing, Bloomington, IN. © Tracey L. Theriault – 2015.

Congratulations to CASCI member Rion Brattig Correia for successfully defending his dissertation entitled "Prediction of Drug Interaction and Adverse Reactions, with data from Electronic Health Records, Clinical Reporting, Scientific Literature, and Social Media, using Complexity Science Methods" on April 12th 2019. Rion was supervised by Luis Rocha and completed his PhD degree as an affiliate of the NSF-NRT Interdisciplinary training in Complex networks and Systems. Dr. Correia’s research used network science, machine learning, and data science to uncover population-level associations of drugs and symptoms, useful for public health surveillance. His findings show that Social Media (Instagram and Twitter) and Electronic Health Records of an entire city in Southern Brazil, are very useful to reveal how the Drug interaction phenomenon varies across distinct groups. For instance, he identifying gender biases and specific communities of interest in chronic disease (e.g. Epilepsy and Depression). In addition to Complex Networks and Systems, his dissertation contributes to the fields of biomedical informatics and precision public health by leveraging heterogeneous data sources at multiple levels to understand population and individual pharmacology differences and other public health problems.





Sikander Khare








Dr. Alexander Gates

Dual-PhD dissertation in the Complex Systems track of the Informatics PhD Program as well as the Cognitive Science program: The anatomical and effective structure of complex systems. 2017, Indiana University. Currently Postdoctoral Research Associate at the Center for Complex Networks Research, Northeastern University.


Dr. Artemy Kolchinsky

PhD Dissertation in the Complex Systems track of Informatics: Measuring Scales: Integration and Modularity in Complex Systems. 2015, Indiana University. Currently Postdoctoral Research Associate at the Santa Fe Institute.


Dr. Manuel Marques-Pita

Previous Postdoctoral fellow. Currently: Lecturer at the Universidade Lusófona de Humanidades e Tecnologias, Lisbon, Portugal. See also his famous sejkko alter-ego on Instagram


Dr. Tiago Simas

PhD Dissertation in Cognitive Science: Stochastic Models And Transitivity In Complex Networks. 2012, Indiana University. Currently Senior Researcher, Telefonica Innovation Alpha

Dr. Alaa Abi-Haidar

PhD Dissertation: An adaptive document classifier inspired by T-Cell cross-regulation in the immune system. 2011, Indiana University. Currently artist/scientist-in-residency at the Instituto Gulbenkian de Ciencia


Dr. Marcio Mourao

PhD Dissertation: Reverse engineering the mechanisms and dynamical behavior of complex biochemical pathways. 2011, Indiana University. Currently: Data Science Consultant for the Consulting for Statistics, Computing and Analytics Research Center (CSCAR) at the University of Michigan.

Professor Ana Maguitman

Previous Postdoctoral fellow. Currently: Professor at the Computer Science and Engineering Department of the Universidad Nacional del Sur, Argentina


Dr. Humberto Santos

PhD Dissertation: Analysis and simulation of the innovation process from an evolutionary perspective. 2008, Universidade da Beira Interior, Portugal. Deceased.

Jasleen Kaur

MSc. Bioinformatics, Indiana University, 2007


Professor Chien-Feng Huang

Previous Postdoctoral fellow. Currently: Professor in the Department of Computer Science and Information Engineering, National University of Kaohsiung, Taiwan.

Dr. Andreas Rechtsteiner

PhD Dissertation: Multivariate Analysis of Gene Expression Data and Functional Information: Automated Methods for Functional Genomics. 2005, Portland State University. Currently: Associate Scientist at UC Santa Cruz.


Professor Anália Lourenço

Previous Postdoctoral Visitor. Currently Associate Professor at Universidade de Vigo: Ourense, Ourense, Spain.

Professor Johan Bollen

PhD Dissertation: A cognitive model of adaptive web design and navigation. Vrije Universiteit Brussel, Brussels, Belgium, 2001. Currently: Professor, Indiana University.




More

If you are interested in working in the area of Complex Adaptive Systems
and Computational Intelligence, there are several ways to study and collaborate with us. Professor Luis Rocha supervises students and works with postdoctoral and senior researchers.

Alain Barrat

Jörg Becker

Johan Bollen

Katy Börner

Paulo Navarro Costa

Joana Gonçalves-Sá

Lang Li

Wendy Miller

Hagit Shatkay

Olaf Sporns

Alfonso Valencia


Network of people

See the Indiana University Network Institute network of scientists we collaborate with


Present and Past affiliated Research Groups:

CNeTS: Center for Complex Networks and Systems @ The School of Informatics and Computing, Complex Systems & Networks @ Indiana University, NaN- the Networks and Agent Networks, Artificial Life @ Indiana University, Computational Biology @ Instituto Gulbenkian de Ciencia, Complex Systems Modeling Team @ Los Alamos National Laboratory

Towards Understanding the Multi-Level Complexity of Human Health: From Drug Interaction to Human Reproduction Cycles

Centro de Ciencias de la Complejidad C3
January 31, 2018

Watch

Das redes sociais aos comportamentos biológicos (in PT)

Jardim de Verão, Fundação Calouste Gulbenkian
FB Post. July 15, 2017

Part: 1 2 3 4 5

Redundancy and Control in Complex Networks

Mathematical Biosciences Institute
April 11, 2016

Watch

Redundancy, control and collective computation in network dynamics

Indiana University Network Science Institute Talk Series
October 13, 2014

Watch

Turing’s Tape and the Cybernetics of Biocomplexity

The Alan Turing Centenary Symposium
October 13, 2014

Watch

Dynamics in Complex Networks: Preserving robustness in a hyper-connected World

Invited Lecture at Everything Is Connected Conference @ GreenFest, Estoril, Portugal.
September 18, 2009

Watch