September 28th, 2017

Debartolo Hall Room 140

3:30 - 4:30 PM

Software Citation and Software Reproducibility 

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Abstract:

 

Software is a critical part of modern research and yet there is little support across the scholarly ecosystem for its citation. Inspired by the activities of the FORCE11 working group focused on data citation, the FORCE11 Software Citation Working Group has published a set Software Citation Principles (https://doi.org/10.7717/peerj-cs.86) in September 2016. This has the goal of encouraging broad adoption of a consistent policy for software citation across disciplines and venues. This presentation will discuss the principles (in brief, importance, credit and attribution, unique identification, persistence, accessibility, and specificity), how they will impact the practice of research, and they can be implemented by researchers, publishers, librarians and others who build and maintain repositories, scholars of science, university administrators, and research funders.  In addition, reproducibility of software intensive projects has a set of challenges and obstacles that are different than other projects, and this talk with also discuss the aspects of software that make reproducibility challenging.

Bio:


Daniel S. Katz has co-led the FORCE11 Software Citation Working Group and is a founding topic editor of the Journal of Open Source Software. At the University of Illinois Urbana-Champaign, he is Assistant Director for Scientific Software and Applications at the National Center for Supercomputing Applications (NCSA) and Research Associate Professor in Computer Science, Electrical and Computer Engineering, and the School of Information Sciences (iSchool). He formerly led the Software Cluster in the Division of Advanced Cyberinfrastructure as a National Science Foundation program officer. He is interested in promoting the development and use of cyberintrastructure, focused on software, to solve challenging research problems.  For more information about Daniel S. Katz, see http://danielskatz.org 

 

Presentation Slides: Click Here

July 26th, 2017

102 DeBartolo Hall

1:00 PM - 2:00 PM

Mobile Phone-Credit Scoring in Africa

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Abstract:

Mobile Money platforms are gaining traction across developing markets as a convenient way of sending and receiving money over mobile phones.  These systems operate on low-cost feature phones and do not require users to have a bank account.  These low barriers-to-entry make mobile money platforms excellent tools for financial inclusion of the poor.  Additional financial services, such as saving and lending products, are now being offered over these mobile money channels.  In this work, we demonstrate how boosted decision trees (Adaboost) may be used to create credit scores (probability of repaying a low-value, short-term loan) for under-banked populations, allowing them to access credit that was previously unavailable due to a lack of financial data.  The boosted tree model demonstrated significant results over the original model used by the bank.  We show a 55% reduction in default rates while simultaneously offering credit opportunities to a million customers that were given a 0 credit limit in the bank’s original model.

Bio:

Skyler Speakman is a Research Scientist at IBM Research -- Africa.  His projects use data science to impact the lives of millions of people on the continent.  He believes that data collected through phones and drones will fundamentally change service delivery and African development in the next decade.  Skyler completed a Ph.D. in Information Systems at Carnegie Mellon University as well as a M.S. in Machine Learning.  He also holds masters in Mathematics, Statistics, and Public Policy.  He lives in Nairobi, Kenya with his wife and two young sons.

 

Presentation Slides: Click Here

Published: April 12, 2017

Author: Brandi Klingerman

Click for Full Article

April 20th, 2017

101 DeBartolo Hall

1:00 PM - 2:30 PM

 

What We Have Learned About Using Software Engineering Practices in Scientific Software

 

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Abstract: 

 

The increase in the importance of Scientific Software motivates the need to identify and understand which software engineering (SE) practices are appropriate. Because of the uniqueness of the scientific software domain, existing SE tools and techniques developed for the business/IT community are often not efficient or effective. Appropriate SE solutions must account for the salient characteristics of the scientific software development environment. To identify these solutions, members of the SE community must interact with members of the scientific software community. This presentation will discuss the findings from a series of case studies of scientific software projects, an ongoing workshop series, and the results of interactions between my research group and scientific software projects.

 

Bio:

 

Dr. Jeffrey Carver is an Associate Professor in the Department of Computer Science at the University of Alabama. He earned his PhD in Computer Science from the University of Maryland. His main research interests include empirical software engineering, software engineering for science, software quality, human factors in software engineering, and software process improvement. He has been the primary organizer of the SE4Science workshop series (http://www.SE4Science.org) focused on Software Engineering and Computational Science. He is a Senior Member of the IEEE Computer Society and a Senior Member of the ACM. Contact him at This email address is being protected from spambots. You need JavaScript enabled to view it..

 

Presentation Slides: Click Here

 

Published: March 07, 2017

Author: Brandi Klingerman

Click for Full Article

Author: Tara O'Leary

Imls

The University of Notre Dame Hesburgh Libraries received a grant from the Institute of Museum and Library Services (IMLS) National Leadership Grants for Libraries Program to conduct a collaborative planning effort to develop an open source Research Data & Software Preservation Quality Tool that addresses a universal need for preserving data and software.

As computation is increasingly interwoven with science, today’s researchers can explore and analyze data and possible scenarios more quickly than ever before. The associated software, data, and platforms of these scientific endeavors can foster rapid progress when shared between scientists and information systems. However, preserving and sharing the massive volume of research has become an increasingly challenging effort, and existing solutions are disjointed and vary dramatically across institutions and disciplines. This collaborative project will garner broad institutional and researcher input toward creating a framework of new and existing tools that addresses the critical need for data and software preservation.

The Notre Dame research team is led by Zheng (John) Wang, Associate University Librarian for the Hesburgh Libraries. Wang will be supported by co-PIs Richard Johnson, Co-Director of Digital Initiatives and Scholarship, and Natalie K. Meyers, E-Research Librarian, of the Hesburgh Libraries as well as co-PI Sandra Gesing, Ph.D. Computational Scientist, of Notre Dame’s Center for Research Computing (CRC).

“The digital age presents significant challenges for libraries and their partners across the research enterprise when it comes to preserving and sharing data and related software in a timely and streamlined manner,” said Wang. “It is imperative that Libraries take a collaborative leadership role with research faculty to develop open source tools that integrate research workflows and library processes to preserve data, software, and methods throughout the research lifecycle.”

The proposed Research Data & Software Preservation Quality Tool will allow reuse of preserved software applications, improve technical infrastructure, and build upon existing data preservation services. Additional outcomes include: captured digital workflows and methods, improved data and software provenance, automatically enhanced metadata, and improved file format recognition and data integrity. The planning design allows for input, consensus building, and support from regional, domestic, and international stakeholders. This collaborative approach will ensure that the tool will be flexible to fit a wide range of existing preservation tools and workflow systems. It will also broaden the awareness and adoption of across user communities.

“The project promises to strengthen international opportunities for collaborative software development, help like-minded organizations develop solutions across national and disciplinary borders, and empower the research data repository.” said Sandra Gesing.

The Center for Open Science (COS) joins the project team as a dedicated partner organization. The center’s role will be focused on reproducibility and interoperable data sharing aspects of the project. COS will also provision and support the project’s use of the Open Science Framework (OSF) to store, share, and collaborate on project components. “Data sharing, access and collaboration among researchers are some of our most important priorities at COS," said Rusty Speidel, Marketing Director at COS. "We are pleased to be involved in developing these critical tools and in furthering the preservation and sharing of open and transparent research."

Several organizations are project participants, including: the Scientific Information Service at CERN, The Research Data Alliance (RDA) Interest Group on Virtual Research Environments (VRE IG), RDA Interest Group on Metadata (Metadata IG), the Science Automation Technology Laboratory at the USC Information Sciences Institute, as well as Cal Poly’s Project Jupyter. The project team is pleased to have pledges of participation from the Confederation of Open Access Repositories (COAR), SHARE, DataCite, re3data.org registry of research data repositories, the Digital Research and Curation Center at Johns Hopkins University, Yale Libraries, and NCSA’s Midwest Big Data Hub.

Information gathered during the grant-funded work and a detailed project development proposal will be shared transparently using the Open Science Framework (https://osf.io/d3jx7) DOI: 10.17605/OSF.IO/D3JX7 and be archived at project’s end at Notre Dame’s research repository, CurateND (curate.nd.edu).

Contact: Natalie Meyers, Hesburgh Libraries, 574-631-1546, This email address is being protected from spambots. You need JavaScript enabled to view it.


About the Hesburgh Libraries

The Hesburgh Libraries is a diverse system of libraries and specialty centers that supports teaching, learning and research at the University of Notre Dame. Digital library services include CurateND and the Hesburgh Libraries’ Center for Digital Scholarship (CDS). The Hesburgh Libraries is committed to the preservation and sharing of research data. Through research, development, and community collaboration the libraries create tools and services that can be reused by like-minded institutions and contribute to local and national efforts that advance open knowledge sharing. Efforts at Notre Dame integrates data management consultation, data curation, and the development of new technologies to serve all disciplines and streamline the research lifecycle.

About Center for Research Computing

The Center for Research Computing at the University of Notre Dame is an innovative and multidisciplinary research environment that supports collaboration to facilitate discoveries in science and engineering, the arts, humanities and social sciences, through advanced computation, data analysis and other digital research tools. The Center enhances the University’s cyberinfrastructure, provides support for interdisciplinary research and education, and conducts computational research.

About Center for Open Science

The Center for Open Science (COS) is a non-profit technology startup founded in 2013 with a mission to increase openness, integrity, and reproducibility of scientific research. COS pursues this mission by building communities around open science practices, supporting metascience research, and developing and maintaining free, open source software tools. The Open Science Framework (OSF), COS’s flagship product, is a web application that connects and supports the research workflow, enabling scientists to increase the efficiency and effectiveness of their research. Researchers use the OSF to collaborate, document, archive, share, and register research projects, materials, and data. Learn more at cos.io and osf.io.

About the Institute of Museum and Library Services

The Institute of Museum and Library Services is the primary source of federal support for the nation’s 123,000 libraries and 35,000 museums. The mission of IMLS is to inspire libraries and museums to advance innovation, lifelong learning, and cultural and civic engagement. National Leadership Grants for Libraries (NLG) support projects that address challenges faced by the library and archive fields. Successful projects have the potential to improve library services nationwide. Grantees generate results such as new tools, research findings, models, services, practices, or alliances that can be widely used, adapted, scaled, or replicated to extend the benefits of federal investment. For more information about IMLS, visit www.imls.gov

Originally published by Tara O’Leary at conductorshare.nd.edu on December 12, 2016.

October 24th, 2016

105 Pasquerilla Center

3:30 pm - 4:30 pm

Reproducibility in Computational Science: A Computable Scholarly Record

 

Victoria Stodden

Associate Professor School of Information Sciences, University of Illinois at Urbana-Champaign

 

Imagine querying the scholarly record for all image compression algorithms that have been applied to the famous “Barbara” picture in the last five years (with citations), or all articles published using the well-known Acute Lymphoblastic Leukemia dataset from Golub et al. (1999). Queries such as these are natural questions for researchers, and are as yet effectively impossible. The scholarly community is taking steps to link data, code, workflows and other artifacts that support and enable the verification of the claims made in the scholarly record. In this talk I will frame a motivation for this effort, resolving reproducibility in computational science, and discuss recent steps to add this layer to the scholarly record including a recently funded NSF project, “Merging Science and Cyberinfrastructure Pathways: The Whole Tale” (joint with Jarek Nabrzyski and others).

Victoria Stodden

About Victoria Stodden

Victoria is an associate professor in the School of Information Sciences at the University of Illinois at Urbana-Champaign, with affiliate appointments in the School of Law, the Department of Computer Science, the Department of Statistics, the Coordinated Science Laboratory, and the National Center for SuperComputing Applications. She completed both her PhD in statistics and her law degree at Stanford University.

Victoria is an affiliate scholar with the Center for Internet and Society at Stanford Law School. She is also a faculty affiliate of the Meta-Research Innovation Center at Stanford (METRICS).

The National Science Foundation has awarded a consortium of 28 universities, led by Clemson University, a $750,000 grant to fund a Research Coordination Network to set up a national forum for the exchange and dissemination of best practices, expertise, and technologies to enable the advancement of campus-based research computing activities.

The project, entitled "RCN: Advancing Research and Education Through a National Network of Campus Research Computing Infrastructures - The CaRC Consortium,” is designed to bring together a wide range of campuses and community stakeholders to form a novel, yet complementary, element of an evolving and expanding national cyberinfrastructure ecosystem.

Jarek Nabrzyski, Director of the Center for Research Computing at the University of Notre Dame will lead the efforts at Notre Dame.

“The CaRC Consortium embodies many opportunities to leverage knowledge, expertise and technologies already in existence in campus research computing endeavors and will help create common practices for campus-based research areas that are evolving. This unique network will lend a hand in advancing research discoveries using computational resources across the country and this is why Notre Dame's Center for Research Computing is proud to be part of this initiative.”

The project’s initial collaborating institutions are: Arizona State University, Brandeis University, Clemson University, Florida Atlantic University, Harvard University, Kansas State University, Montana State University, Ohio Supercomputer Center, Oklahoma State University, Stanford University, University of California-Berkeley, University of Colorado Boulder, University of Florida, University of Georgia, University of Hawaii, University of Illinois Urbana-Champaign, University of Miami, University of Minnesota, University of Missouri, University of Nebraska-Lincoln, University of North Carolina Chapel Hill, University of Notre Dame, University of Oklahoma, University of Southern California, University of Utah, University of Virginia, University of Wisconsin-Madison, and Yale University.

To read the full release visit Clemson University’s website.

 

Published: September 28, 2016
Author: Brandi Klingerman

Notre Dame Enhancing Data Sciences Infrastructure for Social Sciences Research

The Center for Research Computing and Center for Social Research to Merge

Notre Dame Research has embarked on an initiative in this academic year to identify the infrastructure support needs for social scientists across campus and to find approaches to fill these needs. Information gathering has begun and the Vice President for Research welcomes the thoughts of faculty and students about how the University can advance its social sciences programs of research and scholarship. 

One area of importance, which is expected to continue to grow as a priority, is gaining access to and using large data sets, so-called “big data,” as well as identifying trends and information within these data. This kind of information is becoming increasingly common for all areas of research, but especially for social scientists. As a first step to achieve this, the Center for Social Research (CSR) will be integrated with the Center for Research Computing (CRC) in order to streamline the University’s data science research services. This partnership will provide faculty and students with the integrated cyberinfrastructure for the big data era.

In discussing the benefits of merging the centers, Kate Mueller, Managing Director of the CSR, said, “This merger will enhance the level of support we can offer to members of the Notre Dame community. Importantly, our social science researchers will especially see a difference in the breadth of services the CSR can now provide because of this partnership. The CSR is looking forward to working closely with the CRC in order continually improve and enhance the research support we provide on campus.”

The Center for Social Research will continue to serve social science researchers by supporting statistical analysis, survey design, and implementation, as well as data acquisition and data management. As the CSR integrates into the CRC, it will have the ability to leverage the CRC’s three complementary groups: high performance computing, cyberinfrastructure development, and research software development. Through the streamlined – and improved – infrastructure and with new assets and services added to the CSR’s portfolio, Notre Dame’s social scientists will have easier access to resources and equipment for evaluating and understanding their research data, including visualization support, geographic information systems, cyberinfrastructure development, and more.

"This move will greatly benefit our faculty, as social scientists are constantly using more sophisticated methods to analyze data sets that are larger and more complex," said John T. McGreevy, the I.A. O'Shaughnessy Dean of the College of Arts and Letters. "The collaboration of the CSR and CRC will give us the expertise we need to help our faculty stay at the leading edge of data science and help us to provide the best possible training for our graduate and undergraduate students." 

This merger is part of Notre Dame Research’s commitment to building an essential infrastructure for social science research as well as the University’s wider commitment to improving and enhancing data science research and support across campus. To learn more about the CRC, please visit crc.nd.edu. For information about the CSR, please see csr.nd.edu.

The full story is available here: https://research.nd.edu/news/70133-notre-dame-enhancing-data-sciences-infrastructure-for-social-sciences-research/


Contact:

Kallie O’Connell / Communications Specialist

Center for Research Computing / University of Notre Dame

This email address is being protected from spambots. You need JavaScript enabled to view it. / 574.631.4009

crc.nd.edu / @UNDResearch

 

About Notre Dame Research:

The University of Notre Dame is a private research and teaching university inspired by its Catholic mission. Located in South Bend, Indiana, its researchers are advancing human understanding through research, scholarship, education, and creative endeavor in order to be a repository for knowledge and a powerful means for doing good in the world. For more information, please see research.nd.edu or @UNDResearch.

Notre Dame Research opens Application Period for Internal Grants

Author: Brandi Klingerman

Faculty are encouraged to apply

Notre Dame Research has opened its annual internal grants competition and is now inviting faculty to apply. The deadline to apply is Monday, October 24, 2016 at 11:59 P.M. EST.

There are two different types of awards currently open for applications:

 Faculty Research Support Initiation Grant: This award provides seed funding to established faculty initiating new programs of research, scholarship, or creative endeavor or to new faculty beginning their research programs. The priority for these grants include projects of basic scholarship, research, or creative endeavor appropriate to the applicant's background and academic appointment as well as special projects for which other research funds are not available.

Faculty Research Support Regular Grant: This award provides funds to support outstanding research, scholarship, or creative endeavor that will make a major contribution in any field of study. Grants ranging from $25,000 to $100,000 of total funding, as appropriate to the research proposal, over three years are available through this program.

In discussing the benefits of the awards, Hildegund Müller, associate vice president for research and associate professor of classics, said, “Last year, Notre Dame Research was able to award more than 20 grants through this program. These awards allowed us to provide funding to those with new ideas for research or those who wanted to expand on the current scope of their work. I encourage faculty from all Colleges and Schools to apply to these grant opportunities and look forward to learning about the exciting research these awards produce.”

To find guidelines regarding eligibility, proposal format and submission, acceptance conditions, and more, including additional internal grant opportunities that will be announced in the coming months, please visit https://research.nd.edu/our-services/funding-opportunities/faculty/internal-grants-programs/.

Contact:

Hildegund Müller / Associate Professor of Classics

Associate Vice President for Research / University of Notre Dame

This email address is being protected from spambots. You need JavaScript enabled to view it. / 574.631.7692

research.nd.edu / @UNDResearch

About Notre Dame Research:

The University of Notre Dame is a private research and teaching university inspired by its Catholic mission. Located in South Bend, Indiana, its researchers are advancing human understanding through research, scholarship, education, and creative endeavor in order to be a repository for knowledge and a powerful means for doing good in the world. For more information, please see research.nd.edu or @UNDResearch.

One-day event will offer presentations and discussion, plus tour of new McCourtney Hall

Researchers from Indiana University, Purdue University, and the University of Notre Dame will be attending the Indiana Clinical and Translational Sciences Institute (Indiana CTSI) retreat hosted at the University of Notre Dame on Friday, October 21, 2016. 

During the event, faculty, students, and other researchers will have the opportunity to present posters and hear from colleagues throughout Indiana. In addition, keynote speaker James Inglese, Principal Investigator of the Division of Pre-Clinical Innovation at the National Center for Advancing Translational Sciences, will speak on the design and implementation of assays for chemical biology and drug discovery. Mark Fox, Dean of the Indiana University School of Medicine – South Bend, will also speak at the event.

Read the full announcement here.