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Dear all,

we are seeking engaging, relevant, interactive data visualizations of science and technology developments that help people make smarter decisions in their personal and professional lives. The Call for Submissions has been posted at scimaps.org/call and we welcome your help in spreading the word. This year’s submissions are due by January 31, 2017.

More information on maps and macroscopes included in the exhibit can be found at http://scimaps.org/iteration;  interviews with select map and macroscope makers can be found at http://scimaps.org/mapmakers.html. The exhibit currently features 100 framed maps, 12 macroscopes, an award-winning short film, touch screen interactives, and sculptural elements created by more than 230 leading experts in the natural, physical, and social sciences, visual arts, and the humanities. It has been displayed in various formats in 28 countries on six continents and exhibit materials are available in five languages.

Thank you and kind regards,

Dr. Katy Bӧrner & Lisel Record

CNS, SICE

Indiana University

1320 E. 10th St.

Bloomington, IN 47405

812-856-7034

scimaps.org

 

 

About the Places & Spaces exhibition: Drawing from across cultures and across scholarly disciplines, Places & Spaces: Mapping Science demonstrates the power of maps to address vital questions about the contours and content of human knowledge. An interdisciplinary and international advisory board chose each one of the works in the Places & Spaces: Mapping Science exhibit as an outstanding example of how visualization can bring patterns in scientific data into focus. The exhibit is curated by the Cyberinfrastructure for Network Science Center at Indiana University. The exhibit has been on display at over 350 venues in 28 countries on 6 continents. It showcases the work of 239 mapmakers that hail from 17 different countries. For further information, please visit our website at scimaps.org.

 

About the Cyberinfrastructure for Network Science Center (CNS): CNS is a research center at Indiana University’s School of Informatics, Computing, and Engineering in Bloomington, Indiana (http://cns.iu.edu/). For more than 20 years, CNS has played a leading role in the field of data visualization, developing open source tools for the creation of data visualizations, offering the IVMOOC, co-organizing international workshops and conferences, and promoting network science and visualization through international initiatives. CNS’s research, teaching, and software development efforts benefit from long-term collaborations with colleagues in academia, government, and industry.

 

 

--

Katy Borner

Victor H. Yngve Distinguished Professor of Engineering and Information Science

Director, CI for Network Science Center, http://cns.iu.edu

Curator, Mapping Science exhibit, http://scimaps.org

 

ISE and ILS, School of Informatics and Computing, Indiana University

Wells Library 021, 1320 E. Tenth Street, Bloomington, IN 47405, USA

Phone: (812) 855-3256  Fax: -6166

 

From: Borner, Katy
Sent: Tuesday, November 21, 2017 10:58 PM
To: [log in to unmask]; [log in to unmask]; ASIS&T Special Interest Group on Metrics <[log in to unmask]>; [log in to unmask]; [log in to unmask] <[log in to unmask]>; [log in to unmask] <[log in to unmask]>; [log in to unmask]
Subject: New deadline: January 1st. NSF-NRT PhD Fellowship in Complex Networks and Systems at IU

 

Dear all,

Please share the below Fellowship opportunity with interested students.

Happy Thanksgiving everyone,

k

 

 

 

From: Rocha, Luis M.
Sent: Monday, November 20, 2017 11:34 AM
Subject: [CNS-NRT-Faculty] New deadline: January 1st. NSF-NRT PhD Fellowship in Complex Networks and Systems

 

NEW DEADLINE: Applications Due January 1, 2018

 

Interdisciplinary Training in Complex Networks and Systems

 

Understanding complex networked systems is key to solving some of the most vexing problems confronting humankind, from discovering how dynamic brain connections give rise to thoughts and behaviors, to detecting and preventing the spread of misinformation or unhealthy behaviors across a population. Graduate training, however, typically occurs in one of two dimensions: experimental and observational methods in a specific area such as biology and sociology, or in general methodologies such as machine learning and data science.

 

With more and more students seeking to gain sufficient expertise in mathematical and computational methods on top of domain-specific laboratory and social analysis methodologies, a greater demand for more efficient interdisciplinary training is emerging. The Indiana University National Science Foundation Research Traineeship (NRT) addresses this growing need with an integrated dual PhD program that trains students to be “bidisciplinary” in Complex Networks and Systems (CNS) and another discipline of their choosing from the natural and social sciences. It will seamlessly integrate traditional education with interdisciplinary hands-on research in a culture of academic and human diversity.

The training program capitalizes on the new Indiana University Network Science Institute (IUNI). The Institute's 165+ faculty members will serve in interdisciplinary PhD program committees to be co-chaired by research mentors from both CNS and the target empirical domain. Project-driven, team-based research at IUNI will seamlessly integrate academic education with interdisciplinary hands-on scientific and industrial research. Trainees will learn to connect the general-purpose, computational expertise of CNS to the deep, domain-specific research methodologies of the natural, behavioral, and social sciences thus bridging the gap between distinct training cultures. They will be a new breed of STEM scientists that escapes the silos of disciplinary training to address the complex problems of the 21st century.

 

NEW DEADLINE: Applications Due January 1, 2018

 

For more information on how to apply please contact: [log in to unmask]. For information about research and academic components, please see our website https://cns-nrt.indiana.edu, contact the program director Prof. Luis M Rocha, or other members of the executive committee:

 

CNS-NRT Animated LogoExecutive Committee

·        Luis M. Rocha, Director

·        Katy Börner, Evaluation Committee Chair

·        Bernice Pescosolido, Colloquia and Outreach Committee Chair

·        Armando Razo, Education and Training Committee Chair

·        Olaf Sporns, Recruiting and Admissions Committee Chair

·        Tara Holbrook, Project Coordinator

 

Research Themes

Complex networks and systems

Network neuroscience

Social network science

Health & health care

Science of science

Finance and economy networks

Biological and chemical networks

Many others

 

Program Benefits

$34,000 stipend on prestigious NSF Fellowship

Tuition and health insurance

Develop dual proficiency

Interdisciplinary training

Early integration in research via Indiana University Network Science Institute (IUNI)

National and international internships

Academic and industrial professional development including travel support

Diverse, collaborative cohorts

Interaction with world-renowned external board members and speakers

NSF fellow must be US citizens residents. IU fellowships and NRT affiliates available for international students.

 

Academics

Dual PhD program in CNS and another domain such as Biology, Chemistry, Cognitive Science, Economics, Psychological and Brain Sciences, Sociology, Political Science, Physics, etc. Hands-on training in general-purpose methodologies of CNS, computational and data science, as well domain-specific methodologies of a chosen natural, behavioral, or social science.

 

______________________________________________________

 

Luis Mateus Rocha, Professor of Informatics and Cognitive Science

Director, NSF-NRT Interdisciplinary Training in Complex Networks and Systems

Center for Complex Networks and Systems Research

School of Informatics, Computing, and Engineering

Indiana University, 919 E. 10th St

Bloomington IN, 47408, USA

http://informatics.indiana.edu/rocha

 

and

 

Instituto Gulbenkian de Ciência, Oeiras, Portugal

http://www.igc.gulbenkian.pt/research/unit/76

______________________________________________________

Any analytical approach to understanding simplicity always turns out to be very complex. (Howard Pattee)

______________________________________________________

 

 

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