Resources

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Collaborators
ARC-TS Data Science Consulting Service

Advanced Research Computing – Technology Services (ARC-TS) offers a data science consulting service. The service provides assistance with regard to data workflows, data analytics, machine learning and programming. In addition, users will be consulted on the basics of scientific computing, including but not limited to code optimization, parallel, and high performance computing. Data science consultants can also help with the identification and facilitation of research collaborations and user communities, or be hired for short-term programming jobs. For more information or to request a consult, email arcts-consulting@umich.edu.

ISR Data Science Portal People Profiles

To help identify potential collaborators for research, consulting or expertise, the ISR Data Science Portal features profiles of ISR faculty and staff interested or engaged in big data and/or data science research. The People database can be searched by name, keyword, and filtered by expertise in social science domains, methods and programming skills.

ISR-affiliated faculty and staff interested or engaged in data science related activities can add their personal profile and project information to the People and Project pages following this process:

  • Register HERE.
  • Check your email inbox for your credentials
  • Login
  • Create your profile and add your expertise and data science projects, if any (The more info the better!)
ISR Data Science Slack Space

The ISR Data Science Slack space was created for the ISR community (faculty, staff, students) interested/engaged in big data and data science research. The slack space provides information on events, funding opportunities, different programming languages and other content users wish to share. Users can sign up automatically using their umich email address. They can join existing channels of interest or create new channels (public or private).

Michigan Research Experts Database

Michigan Research Experts is a searchable database of research expertise across the University of Michigan, developed by the Medical School Office of Research and custom-tailored for the U-M research community to foster collaboration on campus and around the world. In addition to finding collaborators, the tool can be used to identify funding sources, as well as, to track engagement metrics and patents. U-M faculty and staff can create their own profile to be featured.

MIDAS Affiliated Faculty

The website of the Michigan Institute for Data Science (MIDAS) at the University of Michigan features a searchable database of affiliated faculty. The database can be searched by name, department, or keyword, and/or filtered by methodology or research domain (application).

Survey Methodology Program

The Survey Methodology Program (SMP) within the Survey Research Center (SRC) at the Institute for Social Research (ISR) comprises a multidisciplinary team of research faculty and research scientists originating from various academic fields, including social psychology, cognitive psychology, sociology, statistics, and computer science. SMP members share a scientific focus on research methodology and are open to collaborating with researchers worldwide on methodological projects and research proposals related to survey research, data collection, and analysis of survey data. For a list of SMP’s core and associated faculty, please see here.

Consulting
ARC-TS Data Science Consulting Service

Advanced Research Computing – Technology Services (ARC-TS) offers a data science consulting service. The service provides assistance with regard to data workflows, data analytics, machine learning and programming. In addition, users will be consulted on the basics of scientific computing, including but not limited to code optimization, parallel, and high performance computing. Data science consultants can also help with the identification and facilitation of research collaborations and user communities, or be hired for short-term programming jobs. For more information or to request a consult, email arcts-consulting@umich.edu.

ARC-TS High Performance Computing and Data Storage Solutions

Advanced Research Computing – Technology Services (ARC-TS) consults on and provides members of the University of Michigan with High Performance Computing (HPC) resources and data storage solutions. ARC-TS maintains the Great Lakes Slurm HPC Cluster, the Armis2 HPC Cluster for Sensitive Data (HIPAA), the Cavium ThunderX Cluster (Hadoop), as well as the Yottabyte Research Cloud for sensitive data that are highly classified. For storage solutions, Turbo Research Storage, Locker Large File Storage, and Data Den Research Archive are available. For assistance, please email hpc-support@umich.edu

ARC-TS Proposal Support

Advanced Research Computing – Technology Services (ARC-TS) assists with the development of technology-related sections of grant proposals, e.g., by helping to plan, describe and budget the technological components of intended research projects, such as High Performance Computing and Data Storage Solutions. For assistance, please email hpc-support@umich.edu.

CoderSpaces

Hosted by members of the U-M community, CoderSpaces – or weekly Data Science Hubs – provide an opportunity to meet, connect with and learn from other coders in a friendly social setting. Participation is open to anyone across the U-M campus who is interested in code/programming, computational social science, data science, engineering, etc. Everyone is welcome regardless of their skill or level of expertise. To participate, bring a laptop and some coding work, or just come and hang out to socialize and assist others. For available times each term, please check the CoderSpaces events page.

CSCAR
Consulting for Statistics, Computing, and Analytics Research (CSCAR) provides individualized support to U-M researchers from all disciplines, working closely with researchers to overcome challenges that arise in their investigations. CSCAR consulting services are available for data science, statistics, and advanced research computation. Graduate students, research staff, and faculty are welcome to contact CSCAR directly to discuss their research. Many services are free to members of the U-M research community.
CSCAR Grant Proposal Support

Consulting for Statistics, Computing and Analytics Research (CSCAR) consultants have extensive experience with proposals for research funding, and can advise clients on how to effectively present the aspects of a proposal relating to data collection, analysis, and computation.

ISR Big Data and Data Science Program

ISR faculty, staff and students are supported by ISR Program Manager Jule Krüger on questions related to big data and/or data science research. This includes help with accessing resources, identifying potential collaborators in other U-M departments/units, issues related to training and building user communities. To request assistance, email julianek[at]umich.edu.

MIDAS Proposal Support

MIDAS Proposal Support assists U-M investigators in improving the data science component of grant proposals in many different ways, ranging from a simple description of MIDAS facilities and resources to substantial collaborative research.  Inquiries should be sent to: midas-research@umich.edu.

Population Dynamics and Health Program

The Population Dynamics and Health Program (PDHP) within the Population Studies Center (PSC) at the Institute for Social Research (ISR) provides resources and services that support innovative approaches to data collection and analysis and the development of early-career population scientists, as well as research on significant and emergent issues in population dynamics and health. Among the resources offered are a mentoring program, consulting on proposal development, methodological and technical issues, workshops, and a small grants program. The latter offers four types of small grants — (1) Pilot Project Seed Grants, (2) Methods Development Small Grants, (3) Mini Seed Grants for Project Development, and (4) Mini Grants for Computing and Secure Data Analysis.

Statistical Design Group

The Statistical Design Group (SDG) within the Survey Research Center (SRC) at the Institute for Social Research (ISR) takes on questions from all over campus related to study design and methodological issues. Faculty and staff interested in using this service can present their design problems to the SDG team, and will receive a wealth of advice on the best possible design approaches to solving the problems under discussion. This is a free service.

Data Sources
ICPSR

The Inter-university Consortium for Political and Social Research (ICPSR) is an international consortium of more than 750 academic institutions and research organizations that provides leadership and training in data access, curation, and methods of analysis for the social science research community.

ICPSR maintains a data archive of more than 250,000 files of research in the social and behavioral sciences. It hosts 21 specialized collections of data in education, aging, criminal justice, substance abuse, terrorism, and other fields.

Access Data from ICPSR

Research Datasets collated by MIDAS

The Michigan Institute for Data Science (MIDAS) is collating a growing collection of research datasets available to the U-M Community that relate to financial transactions, transportation, genomics, Twitter data, and more. See this page for more information.

U-M Library Data Grants Program

University of Michigan affiliated researchers, including faculty, staff, postdocs, graduate and undergraduate students can apply to the Library Data Grants Program to solicit library-licensed acquisition of access to data sets for their research projects. If a proposal is successful, the Library will acquire the data and/or conduct the negotiations with the data provider, handle the license agreements, and make the data accessible (if the applicant already has the funding to acquire the data). The Library Data Grants Program can be used to cover the entire cost of ownership, or, to subscribe to data for the first year. However, the Library will only consider negotiating the purchase and disbursing the funds to the data vendor if the data that can be licensed campus-wide, and the licensing agreements conform with University purchasing policy.

Events
CoderSpaces

Hosted by members of the U-M community, CoderSpaces – or weekly Data Science Hubs – provide an opportunity to meet, connect with and learn from other coders in a friendly social setting. Participation is open to anyone across the U-M campus who is interested in code/programming, computational social science, data science, engineering, etc. Everyone is welcome regardless of their skill or level of expertise. To participate, bring a laptop and some coding work, or just come and hang out to socialize and assist others. For available times each term, please check the CoderSpaces events page.

CSCAR Workshops

Consulting for Statistics, Computing and Analytics Research (CSCAR) offers a variety of workshops, the majority of them free of charge to the U-M community. Click here for a list of upcoming workshop events.

Feature Your Data Science Event on the ISR Data Science Portal

In order to get your data science event listed on our event page, do the following:

MIDAS Events

The Michigan Institute for Data Science (MIDAS) organizes a variety of events for the University of Michigan data science community throughout the year. Click here for MIDAS event calendar on their website, or here to directly access MIDAS’ public Google Calendar for U-M Data Science Events.

Upcoming Data Science Events
Finding Staff
MIDAS Weekly Newsletter

The Michigan Institute for Data Science (MIDAS) maintains a large data science mailing list to disseminate a weekly data science newsletter (click here to subscribe). ISR faculty and staff interested in hiring students or staff for data science related positions can have their job postings published in MIDAS weekly newsletter. To be featured, email your student research opportunities and job postings to Kristin Burgard (burgardk@umich.edu), MIDAS Outreach and Partnership Manager.

Finding Students
Data Science Master’s Program Students (LSA Statistics)

The Data Science Master’s Program in the University of Michigan Department of Statistics announces research opportunities to its students. ISR faculty and staff interested in hiring students enrolled in the Data Science Master’s Program can reach out to James Schulert, Data Science Master’s Program Coordinator, via mdsprogram@umich.edu or schulert@umich.edu. You can also copy Kerby Schedden (kshedden@umich.edu), Professor in the Statistics and Biostatistics Departments, to help identify the most relevant students for a given project.

EECS Undergraduate Students

The University of Michigan Department of Electrical Engineering and Computer Science (EECS) shares weekly announcements with its undergraduate students in Computer Engineering, Computer Science, Electrical Engineering and/or Data Science. ISR faculty and staff can use this form to submit content for these email announcements. The weekly submission deadline is 5:00PM EST on Sundays.

MIDAS Weekly Newsletter

The Michigan Institute for Data Science (MIDAS) maintains a large data science mailing list to disseminate a weekly data science newsletter (click here to subscribe). ISR faculty and staff interested in hiring students or staff for data science related positions can have their job postings published in MIDAS weekly newsletter. To be featured, email your student research opportunities and job postings to Kristin Burgard (burgardk@umich.edu), MIDAS Outreach and Partnership Manager.

U-M Students

The University of Michigan Student Employment Office maintains an online portal in which students can search and apply for part-time (Work-Study) and regular (non-Work-Study) jobs. University and Work-Study Employers, as well as, Non-University Employers can use this portal to post such employment opportunities to U-M students.

UMSI Students

The University of Michigan School of Information (UMSI) maintains an online portal to help in the recruiting of their students. ISR Faculty and staff can register for an account in UMSI’s online recruiting system (iTrack) to post internship or employment opportunities.

Funding
Data Acquisition for Data Science

Data Acquisition for Data Science (DADS) supports acquisition, preparation, management, and maintenance of specialized research data sets used in current and future data science-enabled research projects across U-M, with special focus on the four challenge initiative areas pursued by the Michigan Institute for Data Science (MIDAS): transportation science, health science, social science, and learning analytics.

Data Acquisition for Data Science (DADS) funding

MICDE top-off fellowships for graduate students

Faculty can nominate U-M graduate students interested in Computational Discovery and Engineering research for the Michigan Institute for Computational Discovery and Engineering (MICDE) top-off fellowship. The fellowships are meant to augment other sources of funding and intended to help recruit top students. Fellows may use the funds to attend a conference, buy a computer, or any other approved activity that will enhance their graduate experience. Typically, fellows enroll in either the Ph.D. in Scientific Computing, the Graduate Certificate in Computational Discovery and Engineering or the Graduate Certificate in Computational Neuroscience. Separate calls for prospective incoming students and current U-M students are available. Find more information here.

Michigan Research Experts Database

Michigan Research Experts is a searchable database of research expertise across the University of Michigan, developed by the Medical School Office of Research and custom-tailored for the U-M research community to foster collaboration on campus and around the world. In addition to finding collaborators, the tool can be used to identify funding sources, as well as, to track engagement metrics and patents. U-M faculty and staff can create their own profile to be featured.

MIDAS PODS Grants

The Michigan Institute for Data Science (MIDAS) runs an annual pilot grant program – Propelling Original Data Science (PODS) Grants. This award program seeks to fund pioneering interdisciplinary data science work that is based on innovative concepts and promises high reward, major impact, promotion of public interest, and potential for major expansion; in other words, “disruptive” instead of incremental research. The primary goal is to catalyze the transformative use of data science in a wide range of disciplines to achieve lasting societal impact.

National Institutes of Health

The National Institutes of Health (NIH) offers funding for many types of grants, contracts, and even programs that help repay loans for researchers. Learn about these programs, as well as about NIH’s budget process, grant funding strategies, and policies, and more.

NIH Funding Opportunities

National Science Foundation

The National Science Foundation (NSF) funds research and education in most fields of science and engineering. It does this through grants, and cooperative agreements to more than 2,000 colleges, universities, K-12 school systems, businesses, informal science organizations and other research organizations throughout the United States. The Foundation accounts for about one-fourth of federal support to academic institutions for basic research.

NSF Grant Opportunities

Population Dynamics and Health Program

The Population Dynamics and Health Program (PDHP) within the Population Studies Center (PSC) at the Institute for Social Research (ISR) provides resources and services that support innovative approaches to data collection and analysis and the development of early-career population scientists, as well as research on significant and emergent issues in population dynamics and health. Among the resources offered are a mentoring program, consulting on proposal development, methodological and technical issues, workshops, and a small grants program. The latter offers four types of small grants — (1) Pilot Project Seed Grants, (2) Methods Development Small Grants, (3) Mini Seed Grants for Project Development, and (4) Mini Grants for Computing and Secure Data Analysis.

Proposal Development
ARC-TS Proposal Support

Advanced Research Computing – Technology Services (ARC-TS) assists with the development of technology-related sections of grant proposals, e.g., by helping to plan, describe and budget the technological components of intended research projects, such as High Performance Computing and Data Storage Solutions. For assistance, please email hpc-support@umich.edu.

CSCAR Grant Proposal Support

Consulting for Statistics, Computing and Analytics Research (CSCAR) consultants have extensive experience with proposals for research funding, and can advise clients on how to effectively present the aspects of a proposal relating to data collection, analysis, and computation.

MIDAS Proposal Support

MIDAS Proposal Support assists U-M investigators in improving the data science component of grant proposals in many different ways, ranging from a simple description of MIDAS facilities and resources to substantial collaborative research.  Inquiries should be sent to: midas-research@umich.edu.

Population Dynamics and Health Program

The Population Dynamics and Health Program (PDHP) within the Population Studies Center (PSC) at the Institute for Social Research (ISR) provides resources and services that support innovative approaches to data collection and analysis and the development of early-career population scientists, as well as research on significant and emergent issues in population dynamics and health. Among the resources offered are a mentoring program, consulting on proposal development, methodological and technical issues, workshops, and a small grants program. The latter offers four types of small grants — (1) Pilot Project Seed Grants, (2) Methods Development Small Grants, (3) Mini Seed Grants for Project Development, and (4) Mini Grants for Computing and Secure Data Analysis.

Statistical Design Group

The Statistical Design Group (SDG) within the Survey Research Center (SRC) at the Institute for Social Research (ISR) takes on questions from all over campus related to study design and methodological issues. Faculty and staff interested in using this service can present their design problems to the SDG team, and will receive a wealth of advice on the best possible design approaches to solving the problems under discussion. This is a free service.

Technology
ARC-TS High Performance Computing and Data Storage Solutions

Advanced Research Computing – Technology Services (ARC-TS) consults on and provides members of the University of Michigan with High Performance Computing (HPC) resources and data storage solutions. ARC-TS maintains the Great Lakes Slurm HPC Cluster, the Armis2 HPC Cluster for Sensitive Data (HIPAA), the Cavium ThunderX Cluster (Hadoop), as well as the Yottabyte Research Cloud for sensitive data that are highly classified. For storage solutions, Turbo Research Storage, Locker Large File Storage, and Data Den Research Archive are available. For assistance, please email hpc-support@umich.edu

Likert Cluster

The Likert Statistics Cluster of the Survey Research Center (SRC) is a high performance computing cluster available at no charge to ISR faculty, staff, and students as an incubator for unfunded, underfunded, or prototypical research. It is made up of a head node and ten compute nodes. The head node can be used for “light computing tasks” and to access the power of the compute nodes. Users submit batch jobs to the Slurm Scheduler from the head node to the compute nodes. To gain access to the cluster, please contact the ISR helpdesk.

SOCR MOOCS

The Statistics Online Computational Resource (SOCR) designs, validates and freely disseminates knowledge. Specifically, SOCR provides portable online aids for probability, statistics and health science education, promotes technology-enhanced instruction, supports efficient statistical computing, and advances predictive big data analytics. The SOCR platform includes a repository of interactive applets, computational webapps, graphing tools, instructional resources, learning materials, and curricular components. See here for the massive open online course (MOOCs) index.

Training
CoderSpaces

Hosted by members of the U-M community, CoderSpaces – or weekly Data Science Hubs – provide an opportunity to meet, connect with and learn from other coders in a friendly social setting. Participation is open to anyone across the U-M campus who is interested in code/programming, computational social science, data science, engineering, etc. Everyone is welcome regardless of their skill or level of expertise. To participate, bring a laptop and some coding work, or just come and hang out to socialize and assist others. For available times each term, please check the CoderSpaces events page.

CSCAR Workshops

Consulting for Statistics, Computing and Analytics Research (CSCAR) offers a variety of workshops, the majority of them free of charge to the U-M community. Click here for a list of upcoming workshop events.

Data Science Certificate and Degree Programs at University of Michigan

The Michigan Institute for Data Science (MIDAS) maintains an overview of the various data science certificate and degree programs available across the three U-M campuses. See here for more information.

Data Science Courses at University of Michigan

The Michigan Institute for Data Science (MIDAS) maintains a database of data science courses taught at the University of Michigan that are approved for completing the U-M Data Science Certificate. See here for more information.

DataCamp For The Classroom

DataCamp offers six-months of free access to its premium content for academic instructors and their students under its DataCamp For The Classroom program. Academic instructors can sign up their class and use DataCamp content to support their teaching, bootcamps, as well as to strengthen their own data science skills. To apply for DataCamp’s free classroom plan, fill in this form.

ICPSR Summer Program in Quantitative Methods of Social Research

The Inter-university Consortium for Political and Social Research (ICPSR) offers an annual ICPSR Summer Program in Quantitative Methods of Social Research. The program provides rigorous, hands-on training in statistical techniques, research methodologies, and data analysis. The broad curriculum is designed to fulfill the needs of researchers across the social, behavioral, and medical sciences throughout their careers.

Khan Academy: Free Online Training

Khan Academy offers free online training in math, science & engineering, computing, economics & finance, and other subjects, starting at all skill levels. To start learning, users can sign up here.

LinkedIn Learning

LinkedIn Learning is an online platform for e-courses in a variety of subject matters, spanning the fields of Business, Technology and Professional Development.

Members of the University of Michigan are able to create a free LinkedIn Learning account:

  1. Visit linkedinlearning.umich.edu
  2. You will be redirected to umich weblogin
  3. Use your university credentials (uniqname and level one password) to login
  4. (optional) Enter your LinkedIn account login and password, if you wish to link your learning record with your personal LinkedIn profile
MICDE top-off fellowships for graduate students

Faculty can nominate U-M graduate students interested in Computational Discovery and Engineering research for the Michigan Institute for Computational Discovery and Engineering (MICDE) top-off fellowship. The fellowships are meant to augment other sources of funding and intended to help recruit top students. Fellows may use the funds to attend a conference, buy a computer, or any other approved activity that will enhance their graduate experience. Typically, fellows enroll in either the Ph.D. in Scientific Computing, the Graduate Certificate in Computational Discovery and Engineering or the Graduate Certificate in Computational Neuroscience. Separate calls for prospective incoming students and current U-M students are available. Find more information here.

Michigan Data Science Fellows

The Michigan Institute for Data Science (MIDAS) recruits annually for its Michigan Data Science Fellows postdoc program. The two-year Fellows Program accepts recent PhDs who excel in their respective fields and whose work is in data science. Fellows work at the boundaries of data science methods and domain sciences in an intellectually vibrant environment, and develop collaborative relationships with the U-M data science community.

Michigan Online: Data Science and Technology Classes

Michigan Online offers free courses to the U-M community, including courses and course series specifically related to data science or technology. The data science series include Python for Everybody, Python 3 Programming, Statistics with Python, and Applied Data Science with Python. Technology-related series include User Experience Research and Design, Web Applications for Everybody, and Web Design for Everybody. To get free access, U-M faculty, staff and students need to chose the “U-M login option” on the Michigan Online login page, and enter their U-M uniqname and password. For free course enrollment, U-M users need to choose the “U-M Free Access” enrollment link. This will ensure free access to *most* of the learning experiences (there are a few exceptions when a course has University credit associated with it).

Population Dynamics and Health Program

The Population Dynamics and Health Program (PDHP) within the Population Studies Center (PSC) at the Institute for Social Research (ISR) provides resources and services that support innovative approaches to data collection and analysis and the development of early-career population scientists, as well as research on significant and emergent issues in population dynamics and health. Among the resources offered are a mentoring program, consulting on proposal development, methodological and technical issues, workshops, and a small grants program. The latter offers four types of small grants — (1) Pilot Project Seed Grants, (2) Methods Development Small Grants, (3) Mini Seed Grants for Project Development, and (4) Mini Grants for Computing and Secure Data Analysis.

Responsive Survey Design Research Education Program

The Responsive Survey Design (RSD) Research Education Program offers training in specialized techniques for increasing the efficiency of survey data collections. All courses are offered in a live webinar format to make them accessible to participants worldwide. Information about financial support opportunities is available here.

SOCR MOOCS

The Statistics Online Computational Resource (SOCR) designs, validates and freely disseminates knowledge. Specifically, SOCR provides portable online aids for probability, statistics and health science education, promotes technology-enhanced instruction, supports efficient statistical computing, and advances predictive big data analytics. The SOCR platform includes a repository of interactive applets, computational webapps, graphing tools, instructional resources, learning materials, and curricular components. See here for the massive open online course (MOOCs) index.

Summer Institute in Survey Research Techniques

The Summer Institute in Survey Research Techniques (SISRT) is a teaching program of the Survey Research Center (SRC) at the Institute for Social Research (ISR). SISRT offers an annual in-depth professional training program on all aspects of survey design and data collection. Every spring, interested participants can register for summer courses offered in a variety of different formats. Information about fellowship opportunities is available here.

The Carpentries at the University of Michigan

The Carpentries at the University of Michigan is a group of University of Michigan (U-M) students, postdocs, staff and faculty who are committed to building a U-M community of excellence around the area of reproducible data analysis. As a Carpentries Partner Organization, the group offers two-day Software Carpentry and Data Carpentry workshops to help members of the U-M community grow in their computer programming skills.

University of Michigan MOOCs on edX

A variety of free massive open online courses (MOOCs) related to data science are offered from the University of Michigan on the edX platform. Available data science related MOOCs include Data Science Ethics, Programming for Everybody (Getting Started With Python), Python Data Structures, and Introduction to Data Analytics for Managers.

User Communities
CoderSpaces

Hosted by members of the U-M community, CoderSpaces – or weekly Data Science Hubs – provide an opportunity to meet, connect with and learn from other coders in a friendly social setting. Participation is open to anyone across the U-M campus who is interested in code/programming, computational social science, data science, engineering, etc. Everyone is welcome regardless of their skill or level of expertise. To participate, bring a laptop and some coding work, or just come and hang out to socialize and assist others. For available times each term, please check the CoderSpaces events page.

DANG!

The Data Analysis Networking Group (DANG!) is a forum for University of Michigan post-docs, grad students, and other researchers to discuss how to analyze, present, and visualize their data. Monthly meetings cover requested topics or specific problems and solutions that members have encountered.

Discussion Board: DATA SCIENCE RESEARCH METHODS IN PYTHON

The Michigan Institute for Data Science (MIDAS) and Consulting for Statistics, Computing and Analytics Research (CSCAR) jointly support a discussion board geared for beginning Python users. The discussion board provides for a friendly environment for beginners to ask questions regarding data science methods implemented in Python. This discussion board is open to all University of Michigan members and welcomes all questions. Users of the group as well as consultants at CSCAR will respond to questions. Questions not addressed here can be addressed through in-person consultation sessions with CSCAR. To enroll in the discussion board, click here.

ISR Data Science Slack Space

The ISR Data Science Slack space was created for the ISR community (faculty, staff, students) interested/engaged in big data and data science research. The slack space provides information on events, funding opportunities, different programming languages and other content users wish to share. Users can sign up automatically using their umich email address. They can join existing channels of interest or create new channels (public or private).