Natural Language Processing

Natural language processing, or NLP, refers to computer aided analysis of text data. Because text data is typically generated by humans and intended for human audiences, it poses unique challenges for computational analysis. All the contextual information humans use to understand the ambiguities in one another’s speech are very difficult to reproduce for computers. However, recent advances in NLP tools and related technologies such as artificial intelligence and machine learning have not only made them extremely sophisticated and powerful, but also far more accessible for researchers in all disciplines.


An Interview with the Center for High Throughput Computing (CHTC)

We spoke with Lauren Michael, a Research Computing Facilitator with CHTC, to learn more about the center and how their role supports researchers at UW-Madison.

Can you tell us a little bit about the CHTC? Its history and purposes?

The Center for High Throughput Computing (CHTC) serves as UW-Madison’s core research computing center, leveraging a long history of international contributions to the field of parallel computing as the pioneer of high-throughput computing (HTC) principles. This work has included decades of ongoing development of HTC technologies like the HTCondor software suite and many others that are used by companies, research institutions, and major research collaborations. Within the department of Computer Sciences, the CHTC was established in 2006 around this work, led by Director Miron Livny, professor of Computer Sciences and Chief Technology Officer for both the Wisconsin Institute for Discovery and Morgridge Institute for Research (in the Discovery building). 


DMPTool Resource Updates

One of the primary services RDS offers to researchers on campus is guidance for generating Data Management Plans as part of grant applications. RDS experts are available to help you write your DMP at any stage of the process. Contact us here

To further help researchers, UW-Madison is a member institution in DMPTool, which is a powerful resource for helping you write your DMP. DMPTool provides instructions and resources for every stage of the writing process, custom guidance, and the ability to share the DMP with your collaborators, and get feedback from RDS. 

We have updated our resources for DMPs and the DMPTool. Below we have listed the improvements and we hope you find them helpful. 


Racial Bias in Data and Algorithms

On June 10, 2020 researchers across campuses and universities around the world, including at UW-Madison, took part in #ShutDownAcademia, #ShutDownSTEM, and #Strike4BlackLives in order to interrupt “business as usual” and take deliberate action necessary to eradicate anti-Black racism in academia and STEM. The effort was a collaboration between ShutDownStem, Particles for Justice, and VanguardSTEM.   

From ShutDownSTEM: “Our responsibility starts with our role in society. In academia, our thoughts and words turn into new ways of knowing. Our research papers turn into media releases, books, and legislation that reinforces anti-Black narratives. In STEM, we create technologies that affect every part of our society and are routinely weaponized against Black people.” 


Link Roundup – June 2020

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Cameron Cook

In this episode of The Flagship podcast, Vice Chancellor of Research, Steve Ackerman, provides an overview of research at the University of Wisconsin-Madison–from securing highly competitive federal grants to the innovations that improve lives across the world.

Jennifer Patiño

UW-Madison is beginning Research Reboot – Return to Research Phase 1. Follow the link to find information about the application process for returning to research activities and how the university plans to minimize any further COVID-19 impacts.

On June 10 researchers from around the world participated in #ShutDownSTEM and #ShutDownAcademia, efforts to address systemic anti-Black racism in science and academia. To view some of UW-Madison’s contributions, read the UWMadSciences blog which provides resources on challenging biases and centering Black and underrepresented voices in the sciences and academia.

Kent Emerson

Science to Street Art, an initiative that pairs scientists with street artists to create murals in Madison, is putting out a call for artists to create augmented reality or other social distancing-friendly exhibits to promote the murals.

As part of their partnership with the UW-Madison Data Science Institute, American Family Insurance is accepting applications for funding for research in artificial intelligence, machine learning, and data science for the Fall 2020 semester. The deadline to apply is July 8 at 5 pm.