Author Archives: Amy Koshoffer

The Data & Computational Science Series presents – GIS Day 2019 Nov 13th

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This year’s UC’s Celebration of National GIS Day is coming up on Nov 13th, 2019 and is organized by UC Libraries, UC Department of Geography and GIS, UC Joint Center of GIS & Spatial Analysis, UC Environmental Studies Program and the UC College of Arts and Sciences.

We invite you to come and celebrate with us.  Lunch will be provided and this event is free and open to all.

Please register at https://webapps2.uc.edu/ce/FacDev/Workshops/Details/13645.

Dr Hao Hu, Product Engineer with ESRI is the featured speaker and will present on the intersection of Machine Learning and Geographic Information Sciences (GIS) and how ESRI is addressing these opportunities in spatial applications with ArcGIS.   Dr Hao Hu is a product engineer in the Geoprocessing/Raster Analysis team at Esri, and works on large raster data processing that leverages distributed computing and storage technology. Before joining Esri, Dr. Hao completed his Doctoral degree in Geography from the University of Illinois at Urbana-Champaign (UIUC) researching on GIS and cyberinfrastructure, spatial decision support system, geospaital data uncertainty, and spatial optimization.

This talk is co-funded by the Provost Funded Data & Computational Science Series (awarded to UC Libraries and IT@UC Research and Development), the Graduate Student Association of UC and the Department of Geography – College of Arts and Science of UC.

The event will be held in 400 A-B TUC from 10 am to 2 pm

Hour Talk
10:00am Main talk (colloquium) -Machine Learning with ArcGIS
10:45am Coffee break
11:00am Practical session (Showcase) – Machine Learning in ArcGIS Platforms
1:00pm Lunch
1:30pm Link-GIS talk

 

The Data & Computational Science Series Presents: Research Computing: A View from the Trenches 

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Posted on behalf of Amy Latessa,  Research Coordinator for IT@UC Research & Development

Coming up on Thursday November 7

The Data & Computational Science Series Presents: Research Computing: A View from the Trenches 

Visualization Lab (GMP Library, 240 Braunstein Hall)

11am – 1pm: Lunch & Learn with George Turner, Chief Systems Architect for Research Technologies at the Pervasive Technologies Institute, Indiana University will give an insider’s presentation on research computing in higher education. George has helped build one of the most abundant and successful research centers in the United States and has been assisting the University of Cincinnati to set up its first ever Advanced Research Computing Cluster, now available to UC faculty and students.  His talk will address challenges in research computing and HPC and share the benefits that a successful University research computing center can have upon a research institution.

1:30pm – 3:30pm: Linux 101 Workshop: This free workshop will provide a brief introduction on the layout of the Linux operating system. It will overview Linux concepts with a few exercises and will help people to understand the paradigms and why this is important in the bigger scheme of things.
No prerequisites. No scripting. Please Bring a Laptop.

All events are free. Registration is required.

Flyer: Turner_DCSS_Nov7

Contact Amy Latessa at latessak@ucmail.uc.edu for more information

 

 

Student Research Consultant’s experience at the XSEDE Big Data Workshop

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Zhiyuan Yao is a Geography PhD candidate and a student research consultant in the Research Labs@ GMP, in the Geology-Math-Physics Library.  She is a GIS expert in the UC Libraries Research & Data Services Team and can help you with your GIS and other research data questions.  Below she describes her recent experience attending the XSEDE workshop on Big Data.

The Extreme Science and Engineering Discovery Environment (XSEDE) is an NSF-funded virtual organization that integrates and coordinates the sharing of supercomputers with researchers nationally to support science. It has five computer resource infrastructures located across the nations, and Pittsburgh Supercomputing Center (PSC) is a part of it. PSC offers workshops from time to time through the year and aims to promote advanced data analysis among a variety of research fields using its supercomputer, Bridges. Thanks to IT@UC Research & Development, Innovation and Partnerships, who cooperates with PSC to offer the free workshop to UC community. The workshop is one of many events in the Data & Computational Science Series funded by the Provost Office.  I was glad to attend the Big Data workshop and give you a glimpse of the informative workshop.

The Big Data workshop was held on Oct 1st to Oct 2nd, from 11: 00 AM to 5: 30 PM. The workshop was well organized and followed a working flow: introducing background information, providing examples, and doing exercises. I really appreciated the background information introduced in this workshop, since it provided a holistic view of this workshop which was friendly to beginners. Besides, this workshop talked about several programs for big data analysis, such as Hadoop and Spark, and Tensorflow. The Big data workshop is one of PSC HPC workshop series, such as MPI, OpenMP, OpenACC, et al. If you are interested in one of these workshops, you can check if IT@UC offers this workshop at Workshops & Trainings in Faculty OneStop.

lunch options at the XSEDE workshop

Besides the free knowledge, you also have free lunch! IT@UC Research & Development, Innovation and Partnerships offered the yummy lunch through the Data & Computational Science Series funded by the Provost Office. If you are interested in learning things about high performance computing, please come and take advantage of the free resources and the yummy lunch!

 

The next XSEDE event is coming up soon:

XSEDE Monthly HPC Workshop: OpenMP

Tuesday November 5, 2019 – 11:00am to 5:00pm
Langsam Library Room 475

Research Labs @ GMP Library News update – Zhiyuan Yao Attends the AAG-UIUC Summer School

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Zhiyuan Yao is one of two GIS support students working in the Research & Data Service research labs at the Geology Math and Physics Library.  The Data & GIS collab is open to students, staff and faculty seeking help with their geospatial data needs, and the Visualization lab is open for data visualization consultations and collaborative work.  Email us at ASKData@ucmail.uc.edu for more information.  

Great learning and collaboration experience in AAG-UIUC Summer School

This summer in July, I was honored to be offered the opportunity to attend AAG-UIUC 2019 Summer School, which focused on Reproducible Problem Solving with Cyber GIS and Geospatial Data Science. During the one-week summer camp, I met many scholars, got access to the supercomputer Virtual Roger through CyberGIS-Jupter, learned the cutting-edge advances regarding geospatial data science, and got a deeper understanding about reproducibility and replicability. I absolutely had a wonderful time there, and this experience provoked me to think more about how we could develop novel solutions to complex problems.

 

Participants in the AAG-UIUC summer school with mentor Diana Sinton (Ex Director of UCGIS in the  green shirt) in the middle.

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XSEDE High Performance Computing (HPC) Boot Camp

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Posted on behalf of Amy Latessa,  Research Coordinator for IT@UC Research & Development

The Data & Computational Science Series presents:
XSEDE High Performance Computing (HPC) Boot Camp

Free Registration (required)

Description: This 4-day event will include MPI, OpenMP, OpenACC and accelerators. This event will be presented using the Wide Area Classroom(WAC) training platform and will conclude with a special hybrid exercise contest that will challenge the students to apply their skills over the following 3 weeks and be awarded the Fifth Annual XSEDE Summer Boot Camp Championship Trophy.  In addition, an XSEDE Badge will be available to those who complete the Challenge.

Tentative Agenda

When: June 3-6, 2019

Location: Langsam Library room 462

2911 Woodside Drive
Cincinnati, OH 45221

 

Note: You need an XSEDE account to register Create Account

Parking: Woodside Avenue Garage

Special Instructions: Participants should bring their own laptop, lunch will be provided.

Questions? Contact Amy Latessa 

XSEDE (eXtreme Science and Engineering Discovery Environment) is a virtual system that provides compute resources for scientists and researchers from all over the country. Its mission is to facilitate research collaboration among institutions, enhance research productivity, provide remote data transfer, and enable remote instrumentation. XSEDE is funded by National Science Foundation (NSF).  Getting Started Guide for XSEDE.

 

 

News from the RDS Research Labs @ GMP

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As we begin the UC Maymester session, we are excited to share news about our students working in the Research and Data Services Research Labs @ the Geology Math and Physics Library.

We say farewell to one of our students working in the labs.  Sobiya George will return to the Chemistry Department for the summer and continue her research projects in Dr. Anna Gudmundsdottir’s lab.  We appreciate Sobiya’s hard work on the ImageJ and Zotero workshops, and wish her luck on her research.

Zhiyuan Yao, Sobiya George, and Jenny Latessa

And we offer many congratulations to Zhiyuan Yao on her acceptance to the AAG-UCGIS Summer School 2019.   Through this NSF supported program, Zhiyuan will be working with “30 graduate students and early career scholars to learn and collaborate in developing novel solutions to complex problems and to take advantage of geospatial data science and cutting-edge scientific advances and technical capabilities of cyberGIS (e.g., CyberGIS-Jupyter and Virtual ROGER: cybergis.illinois.edu/infrastructures). Participants will experience the types of collaborative and professional interactions that are key to addressing reproducible geospatial problem solving in the context of computation- and/or data-intensive research involving confidential geospatial data.”  This is an amazing opportunity for Zhiyuan to grow her skills and meet other researchers in the GIS field.  To learn more about this program, visit their website.  Good luck and enjoy the program.

Zhiyuan Yao in the Data & GIS Collab

Zhiyuan Yao

The lab will be open for consultations and workshops over the summer.  Check the Research Labs website  for the latest information on hours and any closures due to vacations.  Please note that many changes are coming to the libraries website as part of the greater UC website refresh.  For now, one easy way to find the Research Labs website is to visit the library libguide page and type in GIS.  The parent RDS website can now be found under the Research tab on the main Libraries.uc.edu website.  Email AskData@UC.edu if you have any questions.

Reflections of UC Data Day 2019 –

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Article Written by Rebecca Olson – Social Science and Business Informationist.

On April 1, 2019, UC Libraries hosted the 4th annual Data Day Conference. A celebration of research being held on campus, in the local area, and on the national and international level, this year’s focus was on Diversity, Equity, and Inclusion in data.

The first keynote speaker, Amanda J. Wilson, detailed the All of Us program the National Library of Medicine and National institute of Health have funded and promoted. Individuals are allowed to take charge of their health by participating in and directing research. Parts of the program include providing access to resources at libraries, community centers, and laundromats to reach the broadest population.

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Workshop on Research Reproducibility and Data Visualization using R.

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Join UCLibraries and IT@UC for a workshop on Research Reproducibility and Data Visualization using R (part of the Data and Computational Science Series (funded by the Provost Office through a universal provider grant).

 

On April 16th, Dr. Mine Cetinkaya-Rundel, Associate Professor at Duke University and Data Scientist & Professional Educator at RStudio will be on campus to give a presentation about Reproducible Research and conduct a workshop on Data Visualization in R.

The day’s schedule is below.  The venue will be the Data Visualization Space in the Geology-Math-Physics Library – 240H Braunstein Hall.

10:00 am to 11:00 am  Presentation – Reproducible Research

11:00 am to 12:00 pm  Meet and Greet with Dr. Cetinkaya-Rundel  (Lunch provided)

12:00 pm to 2:00 pm  Workshop – Data Visualization in R with ggplot2 and gganimate

 

These events are free and open to all.

Visit the Faculty One Stop website to register.

More information about the DCSS 2019 series can be found on the DCSS website .

Flyer: DCS2 Word flyer_Rstudio

Workshop on Text mining HathiTrust Resources with python

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Eleanor Dickson Koehl, digital scholarship librarian with the HathiTrust will visit UC Libraries to give a presentation on the HathiTrust Research Center and conduct a workshop on text mining using HathiTrust Resources and python.  The talk will be Tuesday Feb 26th from 3- 4 pm and the workshop will be Wednesday Morning from 9am -12pm with a luncheon afterwards from 12 pm-1 pm.  Please join for one or both events which will be held in the Vis Lab 240H Braunstein Hall – inside the Geology-Math and Physics Library.  These events are free and open to all.  We request that attendees of the text mining workshop complete registration through the faculty one stop system.

For more information please refer to the DCS2 Word flyer_hathi_2019.

XSEDE HPC Workshop on Big Data – Feb 12-13

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XSEDE monthly HPC workshop: Big Data

Free Registration (required)

Tentative Agenda

Description:                   This workshop will introduce scalable data analytics and machine learning.

It is a two-day, hands-on workshop using Hadoop, Spark and TensorFlow.

No prerequisites, although some familiarity with Python would be helpful.

When:                              Tuesday Feb 12th and Wednesday Feb 13th from 11 am to 5 pm.

Location:                         Teachers-Dyer Complex – CECH Library Room 320

2610 McMicken Circle – Cincinnati OH 45221

Note:                                You need an XSEDE account to register Create Account

Parking:                          CCM parking garage or the Stratford Heights parking garage

Special Instructions:   Participants should bring their own laptop, lunch will be provided.

Questions?                    Contact Amy Latessa latessak@uc.edu

XSEDE (eXtreme Science and Engineering Discovery Environment) is a virtual system that provides compute resources for scientists and researchers from all over the country. Its mission is to facilitate research collaboration among institutions, enhance research productivity, provide remote data transfer, and enable remote instrumentation. XSEDE is funded by National Science Foundation (NSF).  Getting Started Guide for XSEDE.

Flyers: BigData_workshopflyer_Feb2019 DCSS flyer_xsede Big Data