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WELCOME TO THE CS2 DATALAB

To know who we are, we must understand how we are connected

–N. Christakis and J. Fowler


OUR LAB


WHAT IS THE CS2 DATALAB?

The Computational Social Science DataLab (CS2 DataLab) is an interdisciplinary
laboratory where professors, researchers, and MSc/PhD students coming from
different disciplines and diverse methodological background tackle similar
social problems through the use of computational methods and a complex systems
perspective. CS2 DataLab is an innovative research environment, which is aimed
to promote computational social science research and doctoral training, but also
transference and social impact activities.


WHO WE ARE?

Our team is composed by professors, researchers, and students from different
departments that are part of the University Institute of Research for Social
Sustainable Development (INDESS) at the University of Cadiz (UCA). CS2 DataLab
has been conceived as an open-access multidisciplinary research laboratory on
computational social science, where social and behavioural scientists,
mathematicians, health researchers, humanities scientists, physicists, and
computer scientists share knowledge and cooperate side-by-side to come up with
innovative solutions and theory- grounded models to explain complex social
phenomena.


WHAT WE DO?

The role of the CS2 DataLab aims to address the Big Problems of contemporary
society, but also to increase social equity and efficiency through better policy
planning and delivery of community services. Our team brings together a new
collaboration from across the INDESS and other external research institutions,
with expertise in computational social science and decision analytics. We
facilitate evidence-based decision making across all societal levels, including
local, regional, national and international. CS2 DataLab applies innovative
approaches to social data analysis and visualisation for advancing social and
health research and policy planning. We also develop research tools to help
policy makers and private companies in complex social issues and advanced
problem solving.




MAIN RESEARCH LINES

COMPUTATIONAL SOCIAL SCIENCE

We use cutting-edge computational techniques oriented to the study of the Social
and Behavioural Sciences (such as social network analysis, simulations, machine
learning, text mining and sentiment analysis, among other tools), including a
particular focus on social dynamics that may affect population health and
wellbeing. 

SOCIAL AND HEALTH DATA SCIENCE

Our team combines theoretical concepts from the social and health sciences with
statistics and computer science to find new answers and uncover actionable
insights hidden in complex, unstructured, and high-dimensional data.

SOCIAL NETWORKS AND ANALYSIS OF COMPLEX SYSTEMS

We use complex systems and network science approaches to explain social and
health phenomena in contemporary societies, paying special attention to the
structure and dynamics of urban environments and health information systems.


OUR TEAM

Dedication + Expertise + Passion

Our core team, led by Dr. Javier Alvarez-Galvez, is formed by a young team of
researchers with research experience in various areas of science (social
sciences, health sciences, statistics, computer science and humanities). The
multidisciplinary and interdisciplinary character of our group allows us to
tackle complex problems of very diverse nature, as well as to face new
challenges and problems.

CS2 DataLab director

Javier Álvarez-Gálvez, PhD

javier.alvarezgalvez@uca.es

+34 956 019 080

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ResearchGate


PhD Student

Esther Ortega-Martín

esther.ortega@uca.es

+34 956 019 080

 * 
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ResearchGate


PhD Student

Begoña Ramos-Fiol

begona.ramos@uca.es

+34 956 019 080

 * 
 * 

ResearchGate


PhD Student

Víctor Suárez-Lledó

victor.sanz@uca.es

+34 956 019 080

 * 
 * 

ResearchGate


MSc Student

Blanca Lozano-Chacón

blanca.lozano@uca.es

+34 956 019 080

 * 
 * 

ResearchGate


PhD Student

Jesús Carretero-Bravo

jesus.carretero@uca.es

+34 956 019 080

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 * 

ResearchGate


Research collaborator (postdoc)

Maribel Serrano-Macías

isabel.serrano@uca.es

+34 956 019 080

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 * 

ResearchGate


BSc Student

María Rojas-Ariza

maria.rojasariza@alum.uca.es

+34 956 019 080

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 * 

ResearchGate


Project manager

Rosa Quintero

rosa.quintero@uca.es

123-456-7890

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ResearchGate


External Collaborator

Araceli Calle (Hosp. Móstoles)

araceli.calle@uca.es

123-456-7890

 * 
 * 

ResearchGate


External Collaborator

Ilaria Stanzani (Uni. Genova)

ila.stanzani@gmail.com

123-456-7890

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ResearchGate


External Collaborator

Álvaro Suárez-Vergne (UCM)

alvaro.suarez@uca.es

123-456-7890

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ResearchGate



OUR RESEARCH PROJECTS

Collective dynamics of health opinion contagion: the COVID-19 infodemic and its
effects on decision making processes

DCODES

Read More


Determinants of physical and mental multimorbidity patterns by neighborhoods

DEMMOCAD

Read More


Social determinants of health and health inequalitites

SDoH

Read More


Prevalence and spread of health misinformation in social media

PRESYHM

Read More


Modeling the Emergence and Reproduction of Social Inequalities in Health

MERSIH

Read More


The persistence of digital divides in the use of health information

eDIVIDES

Read More



SERVICES

At CS2 DataLab we offer services ranging from data capture and collection to
analysis and interpretation of qualitative and quantitative data, although we
also offer technical-methodological and educational consulting services by
providing specialised teaching at all levels, offering both introductory and
advanced courses in the latest data capture and analysis techniques.

 

If you have any questions please contact us so we can help you!

DATA

Data collection and capture

ANALYSIS

Methodology and data analysis

TEACHING

Training and education

ASSISTANCE

Consulting and solutions




COME TO MEET US


WHERE ARE WE?

If you prefer, you can directly come to our lab and meet us at the University
Institute for Research in Sustainable Social Development.

Read More


CONTACT

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Email

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cs2datalab@gmail.com

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