Resources

Advanced Research Computing (ARC) offers Scientific Computing and Research Consulting Services. The service provides assistance with regard to data workflows, data analytics, machine learning and programming. Users will be consulted on the basics of scientific computing, including but not limited to code optimization, parallel, and high performance computing. The team can help with the identification and facilitation of research collaborations and user communities, and/or assist the writing of grant proposals. Consultants can be hired for short-term programming jobs. The service is also available to assist data collection, curation, processing and analysis needs in support of current COVID-19 research. For more information or to set up a consult, contact [email protected].

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!)

Michigan Research Cores offers a searchable database of research groups ranging from biomedical to behavioral sciences to health policy. Interested research faculty and staff across the U-M community can submit a core to be included on their website. 

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.

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).

The Michigan Institute for Data Science (MIDAS) at the University of Michigan coordinates working groups to bring attention to important research topics that cut across traditional disciplines. The working groups foster interaction between theorists and application scientists, enable innovative ideas and new collaborations to elevate the quality of data science research at U-M. MIDAS particularly encourages researcher-initiated interdisciplinary working groups and workshops that identify novel research themes and develop original research ideas in pursuit of major collaborative grant proposals. For researcher-initiated working groups, MIDAS can help coordinate activities and connect researchers from all U-M units with diverse backgrounds and expertise. To join a current working group or submit an idea for a new group, please email [email protected]. 

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.

In response to the COVID-19 pandemic, U-M Tech Transfer supports U-M researchers move relevant technologies into the marketplace more quickly, and helps direct regional activities in support of front-line health care workers. Tech Transfer has built a significant network to help facilitate research and technology collaborations, is maintaining a portfolio of potentially promising technologies to assist the fight against COVID-19, and is compiling a list of resources for U-M startups and small businesses. For more information, please see here.

Advanced Research Computing (ARC) consults on and provides members of the University of Michigan with High Performance Computing (HPC) resources and data storage solutions. ARC 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 submit a service request ticket by emailing [email protected].

Advanced Research Computing (ARC) 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 submit a service request ticket by emailing [email protected].

Advanced Research Computing (ARC) offers Scientific Computing and Research Consulting Services. The service provides assistance with regard to data workflows, data analytics, machine learning and programming. Users will be consulted on the basics of scientific computing, including but not limited to code optimization, parallel, and high performance computing. The team can help with the identification and facilitation of research collaborations and user communities, and/or assist the writing of grant proposals. Consultants can be hired for short-term programming jobs. The service is also available to assist data collection, curation, processing and analysis needs in support of current COVID-19 research. For more information or to set up a consult, contact [email protected].

All members of the U-M community – faculty, staff, and students – are invited to join weekly virtual CoderSpaces to get support with research methodology, statistics, data science applications, and computational programming for research. CoderSpaces hosts have a wide set of methodological and technological expertise. The weekly virtual office hours provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level. For available times each term, please check the CoderSpaces events page.

Michigan Research Cores offers a searchable database of research groups ranging from biomedical to behavioral sciences to health policy. Interested research faculty and staff across the U-M community can submit a core to be included on their website. 

The Michigan Institute for Clinical & Health Research (MICHR) launched a COVID-19 Rapid Response Research Registry to offer a centralized clinical characterization and management resource of what the scientific and health care community has learned through the public health pandemic. The Registry will gather data from coronavirus patients in order to inform front-line clinical care decisions in real-time, trends in treatments, hospital-level projections, and future research designs. For an overview of MICHR COVID-19 related services, see here. For a free consultation, contact the MICHR COVID-19 Rapid Response Research Registry team here.

The Michigan Institute for Data Science (MIDAS) at the University of Michigan supports U-M investigators’ grant proposals through a number of outlets including facilities and resources, letters of support, and “red team reviews” to provide feedback on grant proposals. If a research team needs a staff data scientist to be on the grant proposal, MIDAS will work together with CSCAR (Consulting for Statistics, Computing and Analytics Research) to help identify such personnel. Please send your inquiry to [email protected].

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.

Michigan Medicine created the Research Project Lifecycle, which provides an overview of the resources available not only within the Medical School Office of Research but also across the University. Resources are categorized by funding and proposals, regulatory compliance, project management, cores, and training. 

Statistics in the Community (STATCOM) at the University of Michigan is a community outreach program provided by graduate students in the Departments of Biostatistics, Statistics, and the Program for Survey Methodology at University of Michigan. The program offers statistics expertise to non-profit governmental and community organizations in the areas of data organization, analysis, and interpretation free of charge.

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.

The University of Michigan Library has consultants who specialize in data workflows. These consultants can assist with retrieving research data from their current location (a researcher’s hard-drive, server, sensor, flash drive, etc.) to another location from where it can be published and/or shared.

The University of Michigan Library maintains a digital preservation program. Available consultants can assist with research, policy development, testing and risk assessment of file formats, web archiving, and outreach to promote best practices for personal and professional digital archiving. 

The University of Michigan Library offers a variety of data-oriented resources, including metadata management and consulting, text and data mining, data preservation, and data visualization. Resource and consultation inquiries may be directed to [email protected].

The Staff Collective for Data Science (SCDS) is a community of University of Michigan staff who are active or interested in data science and artificial intelligence. The collective pools U-M research staff expertise to extend resource access and augment research innovation and capacity on campus. SCDS offers networking, training and professional development opportunities to support the career advancement of its members. Send any inquiries to [email protected].

In response to the COVID-19 pandemic, U-M Tech Transfer supports U-M researchers move relevant technologies into the marketplace more quickly, and helps direct regional activities in support of front-line health care workers. Tech Transfer has built a significant network to help facilitate research and technology collaborations, is maintaining a portfolio of potentially promising technologies to assist the fight against COVID-19, and is compiling a list of resources for U-M startups and small businesses. For more information, please see here.

Advanced Research Computing (ARC) offers Scientific Computing and Research Consulting Services. The service provides assistance with regard to data workflows, data analytics, machine learning and programming. Users will be consulted on the basics of scientific computing, including but not limited to code optimization, parallel, and high performance computing. The team can help with the identification and facilitation of research collaborations and user communities, and/or assist the writing of grant proposals. Consultants can be hired for short-term programming jobs. The service is also available to assist data collection, curation, processing and analysis needs in support of current COVID-19 research. For more information or to set up a consult, contact [email protected].

Amazon Web Services (AWS) Data Exchange makes it easy to find, subscribe to, and use third-party data in the Amazon cloud. The initiative sources third-party data to help academics, researchers, and the healthcare community triage COVID-19 related issues. The data is derived from public records, foot traffic and business visitation patterns, economic activity, and more. Review COVID-19 related data products available on AWS Data Exchange here. Click here to browse all COVID-19 related data on AWS Data Exchange.

The COVID-19 High Performance Computing Consortium is a joint initiative by the federal U.S. government, industry, and academic leaders to provide access to the world’s most powerful high-performance computing resources in support of complex computational COVID-19 research programs. The Consortium seeks to support research in areas such as bioinformatics, epidemiology, and molecular modeling to understand the threat faced by the novel Coronavirus, as well as to develop strategies to address it. Interested research are invited to submit COVID-19 related research proposals to the consortium via the online portal. Proposals will be reviewed for matching with computing resources from one of the partner institutions.

Digital Science is making freely available all COVID-19 related published articles, preprints, datasets and clinical trials from Dimensions. The file is available as as a csv file hosted on figshare and contains the details of (and links to) all relevant research items. The content has been exported from Dimensions using a query in the openly accessible Dimensions application, accessible at https://covid-19.dimensions.ai/. Dimensions is updated once every 24 hours, so the latest research can be viewed alongside existing information.

The Michigan Institute for Clinical & Health Research (MICHR) launched a COVID-19 Rapid Response Research Registry to offer a centralized clinical characterization and management resource of what the scientific and health care community has learned through the public health pandemic. The Registry will gather data from coronavirus patients in order to inform front-line clinical care decisions in real-time, trends in treatments, hospital-level projections, and future research designs. For an overview of MICHR COVID-19 related services, see here. For a free consultation, contact the MICHR COVID-19 Rapid Response Research Registry team here.

University of Michigan Foundation Relations is maintaining a page on COVID-19 funding opportunities available to U-M faculty from various foundations. To access the web page, U-M affiliates need to sign in using their U-M login information.

The Institute for Healthcare Policy and Innovation (IHPI) is maintaining a web page on COVID-19 related news and resources. U-M affiliates can access a spreadsheet on available resources for COVID-19 research using their Level-1 login.

The University of Michigan Library has put together a research guide on the COVID-19 pandemic/novel coronavirus. To access the research guide, follow this link. Access to some of the listed resources may be limited to U-M affiliates.

In response to the COVID-19 pandemic, U-M Tech Transfer supports U-M researchers move relevant technologies into the marketplace more quickly, and helps direct regional activities in support of front-line health care workers. Tech Transfer has built a significant network to help facilitate research and technology collaborations, is maintaining a portfolio of potentially promising technologies to assist the fight against COVID-19, and is compiling a list of resources for U-M startups and small businesses. For more information, please see here.

Amazon Web Services (AWS) Data Exchange makes it easy to find, subscribe to, and use third-party data in the Amazon cloud. The initiative sources third-party data to help academics, researchers, and the healthcare community triage COVID-19 related issues. The data is derived from public records, foot traffic and business visitation patterns, economic activity, and more. Review COVID-19 related data products available on AWS Data Exchange here. Click here to browse all COVID-19 related data on AWS Data Exchange.

Digital Science is making freely available all COVID-19 related published articles, preprints, datasets and clinical trials from Dimensions. The file is available as as a csv file hosted on figshare and contains the details of (and links to) all relevant research items. The content has been exported from Dimensions using a query in the openly accessible Dimensions application, accessible at https://covid-19.dimensions.ai/. Dimensions is updated once every 24 hours, so the latest research can be viewed alongside existing information.

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

The Michigan Institute for Clinical & Health Research (MICHR) launched a COVID-19 Rapid Response Research Registry to offer a centralized clinical characterization and management resource of what the scientific and health care community has learned through the public health pandemic. The Registry will gather data from coronavirus patients in order to inform front-line clinical care decisions in real-time, trends in treatments, hospital-level projections, and future research designs. For an overview of MICHR COVID-19 related services, see here. For a free consultation, contact the MICHR COVID-19 Rapid Response Research Registry team here.

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.

University of Michigan researchers can access a compilation of tweets known as the “Twitter Decahose”, a 10% sample of all tweets, without charge. MIDAS, CSCAR and ARC together manage and support the use of this data repository, including the historical archive of Decahose tweets and ongoing collection. Learn about requesting access from MIDAS. This user guide describes how to access and use the Twitter Decahose using PySpark. Check out this query tool for Twitter Decahose data availability at the University of Michigan.

The Institute for Healthcare Policy and Innovation (IHPI) is maintaining a web page on COVID-19 related news and resources. U-M affiliates can access a spreadsheet on available resources for COVID-19 research using their Level-1 login.

The University of Michigan Library has put together a research guide on the COVID-19 pandemic/novel coronavirus. To access the research guide, follow this link. Access to some of the listed resources may be limited to U-M affiliates.

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.

The University of Michigan Library offers a variety of data-oriented resources, including metadata management and consulting, text and data mining, data preservation, and data visualization. Resource and consultation inquiries may be directed to [email protected].

All members of the U-M community – faculty, staff, and students – are invited to join weekly virtual CoderSpaces to get support with research methodology, statistics, data science applications, and computational programming for research. CoderSpaces hosts have a wide set of methodological and technological expertise. The weekly virtual office hours provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level. For available times each term, please check the CoderSpaces events page.

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.

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

• Add the event to the “Happening @ Michigan” University of Michigan Event Calendar
• Tag your event with “Data Science”

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.

Michigan Research Cores offers a searchable database of research groups ranging from biomedical to behavioral sciences to health policy. Interested research faculty and staff across the U-M community can submit a core to be included on their website. 

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 the MIDAS weekly newsletter. To be featured, email your student research opportunities and job postings to James Walsh ([email protected]), MIDAS Communications Officer and Operations Coordinator.

The Staff Collective for Data Science (SCDS) is a community of University of Michigan staff who are active or interested in data science and artificial intelligence. The collective pools U-M research staff expertise to extend resource access and augment research innovation and capacity on campus. SCDS offers networking, training and professional development opportunities to support the career advancement of its members. Send any inquiries to [email protected].

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 the Data Science Master’s Program Coordinator, via [email protected] or available through the LSA Statistics directory. You can also copy Kerby Schedden ([email protected]), Professor in the Statistics and Biostatistics Departments, to help identify the most relevant students for a given project.

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.

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 the MIDAS weekly newsletter. To be featured, email your student research opportunities and job postings to James Walsh ([email protected]), MIDAS Communications Officer and Operations Coordinator.

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.

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.

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

The Institute for Social Research (ISR) at the University of Michigan provides a number of scholarship opportunities available to graduate students, research fellows and faculty, and emerging scholars in the social sciences. All applications are unique in terms of timelines and eligibility, but most close by the summer and restart in January.

The Michigan Institute for Computational Discovery & Engineering (MICDE) at the University of Michigan seeks proposals for innovative research projects in computational science that combine elements of mathematics, computer science, and cyberinfrastructure for their annual Catalyst Grants. Interested faculty submit a letter of intent to MICDE by early May of each calendar year. To stay up to date, you can subscribe to MICDE’s regular newsletter on their website.

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 Cores offers a searchable database of research groups ranging from biomedical to behavioral sciences to health policy. Interested research faculty and staff across the U-M community can submit a core to be included on their website. 

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.

The Michigan Institute for Data Science (MIDAS) is offering a special round of PODS mini-grant funding for COVID-19 research projects. The proposals should have a central data science component and address critical issues of the COVID-19 pandemic from any research perspective, including, but not limited to understanding the disease mechanism, drug discovery, improving treatment and care, maintaining societal wellbeing during the crisis, evidence-based guidance for individual and government actions, strategies for recovery of the economy and normal life, and monitoring for future waves of infection. For more information see here.

MIDAS and U-M Information and Technology Services (ITS) partner with Microsoft Azure and Google (GCP) to offer cloud computing credits to U-M faculty members for both research and teaching projects. Either platform is eligible for up to $20,000 in computing credits. For questions about proposal submission, please contact: [email protected]. For help with budgeting and questions about GCP, please contact [email protected].

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.

Please contact [email protected] for more information.

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

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

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.

Michigan Medicine created the Research Project Lifecycle, which provides an overview of the resources available not only within the Medical School Office of Research but also across the University. Resources are categorized by funding and proposals, regulatory compliance, project management, cores, and training. 

University of Michigan Foundation Relations is maintaining a page on COVID-19 funding opportunities available to U-M faculty from various foundations. To access the web page, U-M affiliates need to sign in using their U-M login information.

Advanced Research Computing (ARC) 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 submit a service request ticket by emailing [email protected].

Advanced Research Computing (ARC) offers Scientific Computing and Research Consulting Services. The service provides assistance with regard to data workflows, data analytics, machine learning and programming. Users will be consulted on the basics of scientific computing, including but not limited to code optimization, parallel, and high performance computing. The team can help with the identification and facilitation of research collaborations and user communities, and/or assist the writing of grant proposals. Consultants can be hired for short-term programming jobs. The service is also available to assist data collection, curation, processing and analysis needs in support of current COVID-19 research. For more information or to set up a consult, contact [email protected].

Michigan Research Cores offers a searchable database of research groups ranging from biomedical to behavioral sciences to health policy. Interested research faculty and staff across the U-M community can submit a core to be included on their website. 

The Michigan Institute for Clinical & Health Research (MICHR) launched a COVID-19 Rapid Response Research Registry to offer a centralized clinical characterization and management resource of what the scientific and health care community has learned through the public health pandemic. The Registry will gather data from coronavirus patients in order to inform front-line clinical care decisions in real-time, trends in treatments, hospital-level projections, and future research designs. For an overview of MICHR COVID-19 related services, see here. For a free consultation, contact the MICHR COVID-19 Rapid Response Research Registry team here.

The Michigan Institute for Data Science (MIDAS) at the University of Michigan supports U-M investigators’ grant proposals through a number of outlets including facilities and resources, letters of support, and “red team reviews” to provide feedback on grant proposals. If a research team needs a staff data scientist to be on the grant proposal, MIDAS will work together with CSCAR (Consulting for Statistics, Computing and Analytics Research) to help identify such personnel. Please send your inquiry to [email protected].

The Michigan Institute for Data Science (MIDAS) at the University of Michigan coordinates working groups to bring attention to important research topics that cut across traditional disciplines. The working groups foster interaction between theorists and application scientists, enable innovative ideas and new collaborations to elevate the quality of data science research at U-M. MIDAS particularly encourages researcher-initiated interdisciplinary working groups and workshops that identify novel research themes and develop original research ideas in pursuit of major collaborative grant proposals. For researcher-initiated working groups, MIDAS can help coordinate activities and connect researchers from all U-M units with diverse backgrounds and expertise. To join a current working group or submit an idea for a new group, please email [email protected]. 

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.

Michigan Medicine created the Research Project Lifecycle, which provides an overview of the resources available not only within the Medical School Office of Research but also across the University. Resources are categorized by funding and proposals, regulatory compliance, project management, cores, and training. 

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.

Deep Blue Repositories provide safe and permanent access to research materials, including documents and data. Deep Blue Documents offer repositories for articles, chapters, dissertations, conference presentations, media, and other work produced by the U-M community. The majority of documents are searchable and viewable by everyone, though authors can apply some access restrictions. Deep Blue Data provides access to digital research data that were developed or used in support of research activities at U-M. Repository data are available for anyone to download without restriction. Deep Blue encourages users to share and preserve their work in a repository. The repositories come with a stable URL, usage statistics, as well indexing in search engine abilities like Google Scholar.

Michigan Research Cores offers a searchable database of research groups ranging from biomedical to behavioral sciences to health policy. Interested research faculty and staff across the U-M community can submit a core to be included on their website. 

The U-M Research Data Stewardship Initiative (RDSI) has been launched to help the U-M research community navigate the evolving research data landscape. RSDI offers a guide to best practices for data stewardship, a listing of resources concerning U-M policy and accepted data cycle definitions, and answers to FAQ. The initiative supports U-M researchers in managing and sharing their research data to improve the transparency, rigor and impact of academic research.

Michigan Medicine created the Research Project Lifecycle, which provides an overview of the resources available not only within the Medical School Office of Research but also across the University. Resources are categorized by funding and proposals, regulatory compliance, project management, cores, and training. 

The University of Michigan Library has consultants who specialize in data workflows. These consultants can assist with retrieving research data from their current location (a researcher’s hard-drive, server, sensor, flash drive, etc.) to another location from where it can be published and/or shared.

The University of Michigan Library maintains a digital preservation program. Available consultants can assist with research, policy development, testing and risk assessment of file formats, web archiving, and outreach to promote best practices for personal and professional digital archiving. 

The University of Michigan Library offers a variety of data-oriented resources, including metadata management and consulting, text and data mining, data preservation, and data visualization. Resource and consultation inquiries may be directed to [email protected].

Advanced Research Computing (ARC) consults on and provides members of the University of Michigan with High Performance Computing (HPC) resources and data storage solutions. ARC 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 submit a service request ticket by emailing [email protected].

The COVID-19 High Performance Computing Consortium is a joint initiative by the federal U.S. government, industry, and academic leaders to provide access to the world’s most powerful high-performance computing resources in support of complex computational COVID-19 research programs. The Consortium seeks to support research in areas such as bioinformatics, epidemiology, and molecular modeling to understand the threat faced by the novel Coronavirus, as well as to develop strategies to address it. Interested research are invited to submit COVID-19 related research proposals to the consortium via the online portal. Proposals will be reviewed for matching with computing resources from one of the partner institutions.

Deep Blue Repositories provide safe and permanent access to research materials, including documents and data. Deep Blue Documents offer repositories for articles, chapters, dissertations, conference presentations, media, and other work produced by the U-M community. The majority of documents are searchable and viewable by everyone, though authors can apply some access restrictions. Deep Blue Data provides access to digital research data that were developed or used in support of research activities at U-M. Repository data are available for anyone to download without restriction. Deep Blue encourages users to share and preserve their work in a repository. The repositories come with a stable URL, usage statistics, as well indexing in search engine abilities like Google Scholar.

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 (you need to be logged in to the ISR Network either onsite or via VPN for the helpdesk link to work).

Michigan Research Cores offers a searchable database of research groups ranging from biomedical to behavioral sciences to health policy. Interested research faculty and staff across the U-M community can submit a core to be included on their website. 

MIDAS and U-M Information and Technology Services (ITS) partner with Microsoft Azure and Google (GCP) to offer cloud computing credits to U-M faculty members for both research and teaching projects. Either platform is eligible for up to $20,000 in computing credits. For questions about proposal submission, please contact: [email protected]. For help with budgeting and questions about GCP, please contact [email protected].

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 an online course index.

The University of Michigan Library has consultants who specialize in data workflows. These consultants can assist with retrieving research data from their current location (a researcher’s hard-drive, server, sensor, flash drive, etc.) to another location from where it can be published and/or shared.

The University of Michigan Library offers a variety of data-oriented resources, including metadata management and consulting, text and data mining, data preservation, and data visualization. Resource and consultation inquiries may be directed to [email protected].

In response to the COVID-19 pandemic, U-M Tech Transfer supports U-M researchers move relevant technologies into the marketplace more quickly, and helps direct regional activities in support of front-line health care workers. Tech Transfer has built a significant network to help facilitate research and technology collaborations, is maintaining a portfolio of potentially promising technologies to assist the fight against COVID-19, and is compiling a list of resources for U-M startups and small businesses. For more information, please see here.

All members of the U-M community – faculty, staff, and students – are invited to join weekly virtual CoderSpaces to get support with research methodology, statistics, data science applications, and computational programming for research. CoderSpaces hosts have a wide set of methodological and technological expertise. The weekly virtual office hours provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level. For available times each term, please check the CoderSpaces events page.

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.

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.

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 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.

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 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 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

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.

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 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).

Michigan Research Cores offers a searchable database of research groups ranging from biomedical to behavioral sciences to health policy. Interested research faculty and staff across the U-M community can submit a core to be included on their website. 

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.

Michigan Medicine created the Research Project Lifecycle, which provides an overview of the resources available not only within the Medical School Office of Research but also across the University. Resources are categorized by funding and proposals, regulatory compliance, project management, cores, and training. 

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.

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 an online course index.

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 Teaching and Technology Collaborative in the College of Literature, Science and the Arts at the University of Michigan offers ongoing sessions on a variety of educational topics, including data science and programming, in the format of talks, workshops and training opportunities. Contact [email protected] for more information, including the opportunity to feature your own events on the platform.

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.

The Staff Collective for Data Science (SCDS) is a community of University of Michigan staff who are active or interested in data science and artificial intelligence. The collective pools U-M research staff expertise to extend resource access and augment research innovation and capacity on campus. SCDS offers networking, training and professional development opportunities to support the career advancement of its members. Send any inquiries to [email protected].

Women in Science and Engineering (WISE) is a campus wide community of faculty, staff and students that work together to ensure all women and non-binary students and postdoctoral scholars at U-M have the support they need to thrive in science, technology, engineering, and mathematics (STEM). While WISE programs are specifically designed for girls, women and non-binary individuals, they are open to all.

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.

A2 Data Dive is a UMSI student-run program that offers collaboration, practical education, and service events to increase data literacy. A2D2 spreads a spirit of shared learning by bringing together data professionals, faculty, students and local nonprofit organizations. Participants in the annual Data Dive event increase their data skills and expand their professional network. A2 Data Dive aims to facilitate long-term relationships between local nonprofits and data professionals in Southeast Michigan.

AnitaB.org (formerly Anita Borg Institute) provides women and non-binary technologists with year-round opportunities to connect with and inspire one another, develop their professional skills, find mentors, and gain recognition. AnitaB.org communities, events, and programs offer women the resources they need to build rewarding technology careers.

Black Women in Computing (BWiC)  provides community, support and resources focused on increasing the number of black women and other underrepresented groups in computing related fields. BWiC is the product of the GHC2010 Women of Color luncheon themed, “Building Our Community: Moving Vision into Reality”. The group was launched in 2011 with the help of the Anita Borg Institute (ABI).  

The Center for Minorities and People with Disabilities in IT (CMD-IT) has a mission to ensure that its target communities – African Americans/Blacks, Native Americans/Indigenous People, Hispanics/Latinx, and People with Disabilities – are fully engaged in computing and information technologies. The Center promotes innovation via professional development, community enrichment and information dissemination to enrich, enhance, and enable its target communities, such that more equitable and sustainable contributions are possible by all.

All members of the U-M community – faculty, staff, and students – are invited to join weekly virtual CoderSpaces to get support with research methodology, statistics, data science applications, and computational programming for research. CoderSpaces hosts have a wide set of methodological and technological expertise. The weekly virtual office hours provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level. For available times each term, please check the CoderSpaces events page.

Computing Research Association – Widening Participation (CRA-WP) programs, people, and materials provide mentoring and support at every level of the research pipeline for undergraduate students, graduate students, as well as, faculty, government and industry researchers. CRA-WP strives for their activities to have a positive impact on all underrepresented groups in computer science and engineering. CRA-WP is committed to improving the working environment and increasing the success of all computer scientists and engineers, without regard for gender, race, sexual orientation or socioeconomic background.

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.

Data for Black Lives (d4bl) is a movement of activists, organizers, and mathematicians committed to the mission of using data science to create concrete and measurable change in the lives of Black people. The user community explores the ability of high-tech, computing, big data and algorithms to both empower and oppress communities of color by way of statistical modeling, data visualization, and crowd-sourcing, but also predictive policing, risk-based sentencing, and predatory lending. The group organizes regular conferences available here.

Girl Develop It (gdi) is a nonprofit organization that creates welcoming, supportive opportunities for adult women and non-binary individuals to learn tech skills. The organization provides affordable programs on web and software development in a judgement free environment. The group has a local chapter in Detroit, Michigan.

Michigan Research Cores offers a searchable database of research groups ranging from biomedical to behavioral sciences to health policy. Interested research faculty and staff across the U-M community can submit a core to be included on their website. 

The Michigan Institute for Data Science (MIDAS) at the University of Michigan coordinates working groups to bring attention to important research topics that cut across traditional disciplines. The working groups foster interaction between theorists and application scientists, enable innovative ideas and new collaborations to elevate the quality of data science research at U-M. MIDAS particularly encourages researcher-initiated interdisciplinary working groups and workshops that identify novel research themes and develop original research ideas in pursuit of major collaborative grant proposals. For researcher-initiated working groups, MIDAS can help coordinate activities and connect researchers from all U-M units with diverse backgrounds and expertise. To join a current working group or submit an idea for a new group, please email [email protected]. 

Statistics in the Community (STATCOM) at the University of Michigan is a community outreach program provided by graduate students in the Departments of Biostatistics, Statistics, and the Program for Survey Methodology at University of Michigan. The program offers statistics expertise to non-profit governmental and community organizations in the areas of data organization, analysis, and interpretation free of charge.

tech[inclusive] is a local Ann Arbor meetup group dedicated to fostering professional growth for underrepresented people in tech, and empowering allies to become advocates. The group helps companies and individuals improve through creating an inclusive, supportive community, and providing low-barrier, safe learning opportunities and networking events. The group runs monthly Code & Coffee as well as Queer Techie meetup opportunities, in addition to themed seminars and workshops. All skill levels and career paths are welcome.

The Staff Collective for Data Science (SCDS) is a community of University of Michigan staff who are active or interested in data science and artificial intelligence. The collective pools U-M research staff expertise to extend resource access and augment research innovation and capacity on campus. SCDS offers networking, training and professional development opportunities to support the career advancement of its members. Send any inquiries to [email protected].

Women in Science and Engineering (WISE) is a campus wide community of faculty, staff and students that work together to ensure all women and non-binary students and postdoctoral scholars at U-M have the support they need to thrive in science, technology, engineering, and mathematics (STEM). While WISE programs are specifically designed for girls, women and non-binary individuals, they are open to all.