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Friday, January 24
 

08:00 CST

Breakfast and Registration
Friday January 24, 2020 08:00 - 09:30 CST
Outside Deluca Forum/Atrium

08:30 CST

Introduction / Orientation
- Michael Ferris, Director, Data Science Hub, Wisconsin Institute for Discovery
- Brian Yandell, Director, American Family Insurance Data Science Institute
- Tom Erickson, Director, School of Computing, Data, and Information Sciences

Speakers
avatar for Michael Ferris

Michael Ferris

Professor, University of Wisconsin-Madison
Michael C. Ferris holds the John P. Morgridge Chair in Computer Sciences, and is the Jacques-Louis Lions Professor of Computer Sciences at the University of Wisconsin, Madison, USA. He is the Director of the Data Sciences Hub within the Wisconsin Institutes for Discovery.Dr. Ferris... Read More →


Friday January 24, 2020 08:30 - 09:00 CST
Deluca Forum 330 N. Orchard St., Madison, WI

09:00 CST

Lightning Talks: Round 1
Discover, Collaborate, and Empower 

These three minute talks will allow the community to hear about 1) new and existing data science resources on campus, 2) data science applications for researchers in a variety of research domains, and 3) requests for new data science research collaborations. At the end of the session, participants will have the opportunity to talk with presenters to further discover opportunities, establish new collaborations and empower data rich research.

Lightning Talks in Round 1

Social Science Computing Cooperative: Resources for Data Science 
Russell Dimond, UW Social Science Computing Cooperative

Recover Analog and Digital Data 
Dorothea Salo, UW Information School

Machine Learning for Medical Imaging
Diego Hernando, UW Radiology and Medical Physics

What Works for Health: A Resource for Decision Makers 
Amanda Gatewood, UW Population Health Institute

Undergraduate Research with the Informatics Skunkworks
Dane Morgan, UW Informatics Skunkworks

Investigating Why Some Foreign Words Are Harder to Learn Than Others Using Duolingo
Elise Hopman, UW Psychology

Building a Community of Practice
Nathaniel Schleif, UW Plant Breeding and Genetics

Sharing Resources: Introduction to Semantic Technologies
Nancy Wiegand, UW Space Science Engineering Center

National Health Ambulatory Medical Care Survey
Ross Andrew, UW School of Medicine and Public Health Department of Radiology

Speakers
DM

Dane Morgan

University of Wisconsin Madison
avatar for Diego Hernando

Diego Hernando

Assistant Professor, UW-Madison
NW

Nancy Wiegand

UW-Madison
avatar for Dorothea Salo

Dorothea Salo

Distinguished Faculty Associate, Information School, University of Wisconsin-Madison
Salo teaches organization of information, library technology, scholarly communication and library publishing, and research-data management for the ALA-accredited iSchool at the University of Wisconsin-Madison. She is also a librarian specializing in research-data management, digital... Read More →
avatar for Ross Andrew

Ross Andrew

UW School of Medicine and Public Health -- Dept. of Radiology
Musculoskeletal radiologist interested in population health research using large existing databases.
NS

Nathaniel Schleif

University of Wisconsin - Madison
avatar for Elise Hopman

Elise Hopman

PhD student, Psychology Department, UW-Madison
PhD student in Psychology researching second language learning
avatar for Amanda Gatewood

Amanda Gatewood

Associate Researcher, Population Health Institute
What Works for HealthCounty Health Rankings & Roadmaps
RD

Russell Dimond

Associate Director, Social Science Computing Cooperative


Friday January 24, 2020 09:00 - 09:30 CST
Deluca Forum 330 N. Orchard St., Madison, WI

09:30 CST

Lightning Discussions: Connect and Collaborate
Friday January 24, 2020 09:30 - 10:00 CST
Deluca Forum 330 N. Orchard St., Madison, WI

10:00 CST

Lightning Talks: Round 2
Discover, Collaborate, and Empower 

These three minute talks will allow the community to hear about 1) new and existing data science resources on campus, 2) data science applications for researchers in a variety of research domains, and 3) requests for new data science research collaborations. At the end of the session, participants will have the opportunity to talk with presenters to further discover opportunities, establish new collaborations and empower data rich research.

Lightning Talks in Round 2

Using Machine Learning to Automate the Discovery of Microbial Viruses from Sequencing Data
Kristopher Kieft, UW Bacteriology

Using Citizen Data Successfully
Phil Henrickson, AE Business Solutions

GeoData@Wisconsin and the B1G Academic Alliance Geoportal
Jaime Martindale, UW Geography

Is the Public Cloud a Destination for Your Research? 
Joe Johnson, UW Division of Information Technology

Leveraging Software Development  and Data Science to Make Your Research Have More Impact
Steven Wangen, UW Wisconsin Institute for Discovery

Efficient Data Collection for Optimization
Yuji Saikai, UW Agriculture and Applied Economics

Deep Learning for Weather Satellite Imagery
John Cintineo, UW Space Science and Engineering Center

Creating a Culture of Cooperation 
Steve Goldstein, UW Botany

Resource: Center for High Throughput Computing
Lauren Michael, CHTC

Speakers
avatar for Steven Wangen

Steven Wangen

Scientist, University of Wisconsin - Madison
Steve is a scientist at the Wisconsin Institute for Discovery whose work focuses on integrating software development, data management, and data science to research programs across various domains.
avatar for Joe Johnson

Joe Johnson

Director of Cloud Strategy, University of Wisconsin - Madison
Joe Johnson is a senior IT leader with nearly 30 years of experience developing and implementing strategic technology solutions in large enterprise environments. For the last six years, Joe has helped lead the introduction of cloud computing services into large organizations; initially... Read More →
avatar for Jaime Martindale

Jaime Martindale

Map and Geospatial Data Librarian, Department of Geography - Robinson Map Library
Jaime has been the Map & Geospatial Data Librarian at the Robinson Map Library since November 2003. Jaime is responsible for assisting with discovery and access to all library collections including maps, aerial photos, and digital geospatial data
KK

Kristopher Kieft

University of Wisconsin-Madison
JC

John Cintineo

University of Wisconsin -- Madison
avatar for Phil Henrickson

Phil Henrickson

Data Scientist, AE Business Solutions
I am a member of the Business Intelligence & Analytics team at AE Business Solutions, where we advise and aid organizations with every step of their analytics journey. My personal background is in predictive modeling and causal inference, and I am interested in equipping organizations... Read More →
SG

Steve Goldstein

UW Madison Botany Department
YS

Yuji Saikai

UW-Madison


Friday January 24, 2020 10:00 - 10:30 CST
Deluca Forum 330 N. Orchard St., Madison, WI

10:30 CST

Lightning Discussions: Connect and Collaborate
Friday January 24, 2020 10:30 - 11:00 CST
Deluca Forum 330 N. Orchard St., Madison, WI

11:00 CST

Lightning Talks: Round 3
Discover, Collaborate, and Empower 

These three minute talks will allow the community to hear about 1) new and existing data science resources on campus, 2) data science applications for researchers in a variety of research domains, and 3) requests for new data science research collaborations. At the end of the session, participants will have the opportunity to talk with presenters to further discover opportunities, establish new collaborations and empower data rich research.

Lightning Talks in Round 3

What Every Data Scientist Needs to Know about Cybersecurity
Bob Turner, UW Office of Cybersecurity

Data Services - Supporting Public Library Stories
Jody Hoesly, South Central Library System

County Health Rankings: Using Data (Science) for Action
Courtney Blomme, UW Population Health Institute

Technology for Social Change
Harshita Bhatt, Coding for Good

Engineering Proteins Faster Using Machine Learning Driven Method: MLProScape
Sanjan Gupta, UW Chemical and Biological Engineering

Applying Cloud Technology to Enhance Public Health Pathogen Surveillance
Kelsey Florek, WI State Lab for Hygiene

Geospatial Datascience Lab @ UW Madison
Song Gao, UW Geospatial Data Science Lab

Research Opportunities with the Survey of the Health of Wisconsin 
Jacquie Cronin, Survey of the Health of WI

The Environmental Data Initiative’s Approach to Environmental Data Curation and Publishing
Corinna Gries and Colin Smith, UW Environmental Data Initiative

Speakers
HB

Harshita Bhatt

Coding for Good
avatar for Colin Smith

Colin Smith

Information Manager/Developer, Environmental Data Initiative
BT

Bob Turner

University of Wisconsin - Madison
avatar for Corinna Gries

Corinna Gries

Environmental Data Initiative
JC

Jacquie Cronin

Survey of the Health of Wisconsin, UW-Madison
SG

Song Gao

Director of the Geospatial Data Science Lab at UW-Madison
avatar for Courtney Blomme

Courtney Blomme

Analytic Lead, County Health Rankings, UW Population Health Institute
I am Analytic Lead at County Health Rankings & Roadmaps, a data-to-action platform that is collaboration between the UW Population Health Institute and Robert Wood Johnson Foundation. I am a data enthusiast who loves talking methods, data visualizations, and health.
avatar for Kelsey Florek

Kelsey Florek

Wisconsin State Laboratory of Hygiene
Kelsey works as the Bioinformatics Regional Resource for the Midwest region of the US. Her work supports the integration of bioinformatics analyses in public health laboratories. She facilitates training of laboratory staff in the usage and interpretation of newly developed sequencing... Read More →
avatar for Sanjan Gupta

Sanjan Gupta

PhD student, AI + Bio-engineering, University of Wisconsin Madison
My doctoral thesis work is focused on development and application of machine learning methods for engineering bio-molecules : proteins, mRNA and DNA. I have a cumulative of ~7 yrs experience working on research projects spanning the areas of machine learning, computational systems... Read More →
avatar for Jody Hoesly

Jody Hoesly

Data Services Consultant, South Central Library System (SCLS)
I brand myself as an "information Engineer", joining 10 years of experience in the library profession with over 10 years of experience as a mechanical engineer. In my current position, I love using Tableau products (including Tableau Public public.tableau.com/profile/scls) to wrangle... Read More →


Friday January 24, 2020 11:00 - 11:30 CST
Deluca Forum 330 N. Orchard St., Madison, WI

11:30 CST

Lightning Discussions: Connect and Collaborate
Friday January 24, 2020 11:30 - 12:00 CST
Deluca Forum 330 N. Orchard St., Madison, WI

12:00 CST

Barriers and Opportunities for Geospatial Support at UW-Madison
Geospatial data users exist in every discipline, and training to support the work is currently met by various courses, workshops, and online resources. Yet, many users cannot access this material, or desire further support for their geospatial projects. To meet the needs of students and researchers across campus, there is interest in developing new geospatial opportunities for the UW-Madison community. The proposed concurrent session is a platform to hear from the community about improving geospatial training and consultation on campus. Through facilitated small and large group conversations, this session will identify campus needs and make connections with individuals in the community who wish to actively support this endeavor. The intended audience is campus geospatial data users, educators, and explorers.
RSVP: https://www.sco.wisc.edu/uw-geo/research-bazaar-rsvp/

Speakers
avatar for Jim Lacy

Jim Lacy

Associate State Cartographer, UW-Madison - Department of Geography
Jim Lacy joined the SCO in 2004 as the Associate State Cartographer. He provides technical and managerial leadership for projects in the SCO Office, and frequently answers public inquiries on mapping-related topics. In addition, he coordinates many print and Web publications.
avatar for Jaime Martindale

Jaime Martindale

Map and Geospatial Data Librarian, Department of Geography - Robinson Map Library
Jaime has been the Map & Geospatial Data Librarian at the Robinson Map Library since November 2003. Jaime is responsible for assisting with discovery and access to all library collections including maps, aerial photos, and digital geospatial data
avatar for Sarah Graves

Sarah Graves

Graduate Program Coordinator, UW Nelson Institute
I manage a Master of Science program in Environmental Observation & Informatics that is focused on environmental applications of remote sensing data and technology and spatial data analysis. I am always looking to connect with prospective students who are exploring geospatial graduate... Read More →


Friday January 24, 2020 12:00 - 13:30 CST
Orchard View Room 330 N. Orchard St. Madison, WI

12:00 CST

Data Science in Action: What is the Role of Government in Making Predictions?
Government agency staff have the knowledge and skills to analyze data using complex techniques like natural language processing and machine learning. We can use this data to predict which zip codes will have the highest mortality rates, or the most crime. However using these results can have far more drastic implications for the public sector than in the private sector.

I would like to bring together data scientists from state agencies to talk about how to ethically make predictions using our state data in a way that insures we are appropriately handling the data that our constituents allow us to use.

This discussion would support data scientists to appropriately use available data and techniques to help Wisconsin residents, providing caution and optimism for how state agencies can use new technologies for state improvements.

Speakers
LC

Lynne Cotter

Research Scientist, WI Department of Health Services
Email me to connect @ lynne.cotter@dhs.wisconsin.gov.


Friday January 24, 2020 12:00 - 13:30 CST
Deluca Forum 330 N. Orchard St., Madison, WI

12:00 CST

Electronic Lab Notebooks at UW Madison: Current and Prospective Users
Electronic lab notebooks (ELNs) are data storage, preservation, and management tools; they fit into every part of the research life cycle, and they promote good data management practices and reproducible research. Over 100 labs on campus actively use LabArchives as their ELN. The ELN Service Team would like to provide these users with an opportunity to discuss how they use the notebook, what works, what could be better, and just generally begin to build a user community.

Speakers
avatar for Ariel Andrea

Ariel Andrea

Chemistry Librarian, University of Wisconsin - Madison


Friday January 24, 2020 12:00 - 13:30 CST
1170 Discovery

12:00 CST

Learning Analytics Community of Practice
The Learning Analytics Community of Practice was recently launched to provide instructors and instructional staff an opportunity to discuss and share how they are using (or might use) learning analytics. Recent LACoP topics include the pilot Learner Engagement Analytics Dashboard (LEAD) and Kaltura MediaWorks analytics. Are you using learning analytics in your course(s), and what lessons have you learned that you can share with others? What topics are you interested in exploring or discussing further? This informal community is welcoming new members, whether you have experience with learning analytics or want to learn more - please come join the conversation!

Speakers
KJ

Kari Jordahl

UW-Madison


Friday January 24, 2020 12:00 - 13:30 CST
Researcher's Link

12:00 CST

Tell DoIT What Research IT Services You Need
Researchers today are faced with unprecedented data challenges that will only grow in scope and scale in the coming years. Managing born digital data, storing and transferring large files, and the necessity of high performance computing capabilities, combined with changing funder and publisher requirements necessitate an entirely new research skill set than ever before. The Office of Research Cyberinfrastructure wants to help you with these new challenges by designing new research-focused IT services. In this session, we will present a broad overview of what this newly-minted office provides now and solicit your feedback on what types of services we should consider providing in the future. Researchers from all fields are encouraged to attend.

Speakers
TM

Tobin Magle

Office of Research Cyberinfrastructure


Friday January 24, 2020 12:00 - 13:30 CST
Hub Central

13:30 CST

Computational Aspects of Genotyping By Sequencing
GBS analysis presents a range of computational challenges.  Among them are technical challenges (e.g. wrangling large NGS data files and acquiring and administering the computational hardware necessary or accessing the campus shared resources), software engineering issues (e.g. deploying and maintaining pipelines) and research questions.  Also, we continually need to train scientists to use these analysis pipelines. 

Typically, research groups on campus deal with these challenges in isolation. The focus of this session will be on the question: What can we do better by working together? The desired outcome is to identify a specific project (or projects) that will be mutually beneficial and to set a project plan in motion.

Speakers
SG

Steve Goldstein

UW Madison Botany Department


Friday January 24, 2020 13:30 - 15:00 CST
1360 Biotech/Genetics

13:30 CST

Data Science in the City of Madison
The City of Madison passed an Open Data Ordinance in 2012 (https://www.cityofmadison.com/news/new-city-of-madison-open-data-ordinance).  Since then, the city has published a wealth of data to their open portal.  Laura Larsen (LLarsen@cityofmadison.com) and others at the City of Madison have collaborated with me to get students involved in projects based on this data (https://wisc-ds-projects.github.io/f19/index.html).  We are proposing a join session with the following content: (1) a tour of the data portal by a presenter from the City of Madison, (2) a couple short talks by students about their projects based on the data, and (3) a tutorial session by myself on how to use the data to create maps and animations.

Speakers
TC

Tyler Caraza-Harter

University of Wisconsin-Madison


Friday January 24, 2020 13:30 - 15:00 CST
Researcher's Link

13:30 CST

Data, Algorithms, and Equity: Combating Bias in the Use and Dissemination of Health Data
Participants—please bring a laptop with internet access to this session, along with any software (R, Python, SAS, Excel, etc) that you usually use to explore a dataset.  

This concurrent session will focus on how data and algorithms can undermine equity and perpetuate bias in the fields of public health and criminal justice. Topics could include bias in algorithms, such as the COMPAS Recidivism Algorithm, as well as the dissemination of health data in ways that confer blame on individuals. The audience is people who work with, write about, or use health and/or criminal justice data, and the goal would be for everyone to leave with an understanding of how to combat bias in the use and dissemination of health data, a vital skill in the data science community.

Speakers
RK

Rachel Kulikoff

UW- Madison & Public Health Madison & Dane County


Friday January 24, 2020 13:30 - 15:00 CST
133 SMI (Service Memorial Institute)

13:30 CST

Designing an Escape Room Game to Present Research Data Management Topics
Games have many elements that promote active learning and engage learners more deeply in the topic. These games will provide an opportunity for players to explore and implement what they have learned in a fun, risk-free environment and engage users in new ways.To incorporate this trend into Research Data Management instruction, we are designing an escape room game that will motivate researchers to acquire, advocate for, and apply research data management best practices. In this presentation, we will explain our process and lead a play-testing activity for puzzles from the escape room game.

Speakers
avatar for Trisha Adamus

Trisha Adamus

Research Data Librarian, University of Wisconsin - Madison
TM

Tobin Magle

Office of Research Cyberinfrastructure


Friday January 24, 2020 13:30 - 15:00 CST
McArdle Building, Room 1109

13:30 CST

Handling Data: Data Management Techniques
Openness and sharing of information are fundamental to the progress of science and to the effective functioning of the research enterprise. The free flow of information enables the research community to scrutinize scientific claims and to gain confidence over time in results and inferences that have stood up to repeated testing. Central to these topics are good data management practices that elevate data to first class research products that are citable and are attributed to creators. This workshop focuses on data management best practices occurring throughout the research life cycle and will focus on:

- Data management planning
- Collecting data
- Storing and sharing data during the research project
- Data quality management
- Metadata
- Data curation and publishing

Bring your questions so we can address all your data management challenges and use cases, and consider bringing a dataset. We find learning within the context of your own data is helpful.

Speakers
avatar for Colin Smith

Colin Smith

Information Manager/Developer, Environmental Data Initiative


Friday January 24, 2020 13:30 - 15:00 CST
Deluca Forum 330 N. Orchard St., Madison, WI

13:30 CST

Uncharted Territory: Identifying "Place" in Student Datasets
Geospatial analysis is often underutilized in the social sciences and in higher education administration. In this session, learn how analysts at any skill level can use the free software QGIS to take advantage of the latent geographic information that goes unused in so many datasets. Learn how QGIS can be used for feature engineering, classification, and smarter aggregation. Then, in a real-world example, see how OSFA uses it to identify target populations among enrolled students and understand their distribution across campus.

Speakers
avatar for Andrew Hahn

Andrew Hahn

Data Visualization Specialist, University of Wisconsin-Madison Office of Student Financial Aid - Office of Student Financial Aid


Friday January 24, 2020 13:30 - 15:00 CST
Hub Central

15:30 CST

Poster Session, Marketplace, and Reception

Friday January 24, 2020 15:30 - 18:00 CST
Open Court 330 N. Orchard St., Madison WI
 
Saturday, January 25
 

08:00 CST

Breakfast and Check-In
Saturday January 25, 2020 08:00 - 09:00 CST
Open Court 330 N. Orchard St., Madison WI

09:00 CST

A Gentle Introduction to Extracting Text Features for Machine Learning Models using Python
This workshop will be an introduction to generating features for machine learning models from text. Text analytics, ranging from simple text features to more complex ones learned by neural networks, is a highly effective means of taking advantage of freeform written responses that researchers collect in surveys, scrape from the internet, or gather in the lab. These methods are therefore highly relevant to researchers at the Bazaar. Working with text data is also an invaluable skill in industry data science positions. The workshop will cover an introduction to different ways of characterizing text data, to extracting simple features from text data (e.g. bag-of-words), to more complex features that have proven themselves useful over time (e.g. word embeddings). We will cover a real-world application of these methods, focusing on a document classification model. Some knowledge of Python or another programming language will be useful. This workshop will use Python in Jupyter notebooks and will be platform-agnostic.

Note to workshop attendees:
Some exercises will be in Python 3, so attendees who wish to follow along with the provided exercises during the workshop should install nltk,scikit-learn, numpy, pandas, and scipy, ideally within a virtual environment (virtualenv or conda). Optionally, attendees may install thetransformers package. We will install additional packages during a designated break.

Speakers
CJ

Cassandra Jacobs

Research Associate, University of Wisconsin, Madison


Saturday January 25, 2020 09:00 - 11:30 CST
Deluca Forum 330 N. Orchard St., Madison, WI

09:00 CST

Epistemic Network Analysis: Constructing Computational Models of Rich Qualitative Data for Quantitative Ethnography

Participants should bring a laptop with Internet access, but they will not need to install any software prior to the workshop.

This workshop will introduce participants to epistemic network analysis (ENA), a powerful technique for modeling, visualizing, and comparing conceptual networks. ENA, which is available as both a free online webtool and as a package for the R statistical computing platform, was originally developed to model cognitive networks: the patterns of association between knowledge, skills, decision-making processes, and other elements that characterize complex or collaborative thinking in some domain. However, ENA is a versatile method that can be used to model patterns of association in any system characterized by a complex set of dynamic relationships among a relatively small, fixed set of elements. ENA is particularly well suited to analyzing online discussions, writing, and collaboration, but it has also been used to analyze eye-tracking data, fMRI data, and more.

In this workshop, participants will (a) learn about the theoretical and statistical foundations of ENA (30 mins), (b) work with their own data or with provided datasets (e.g., Shakespearian plays, political debate transcripts, &c.) to create epistemic network models (90 mins), and (c) discuss in small groups and more generally the affordances and limitations of ENA as a statistical and data visualization technique (30 mins). Participants do not need any prior experience in data science or network analysis, and the workshop is designed for researchers who want to develop models using large sets of rich qualitative data.

Our team has conducted workshops on ENA at numerous international conferences, including the International Conference for the Learning Sciences, the International Conference on Quantitative Ethnography, and the Learning Analytics and Knowledge Conference, as well as smaller events hosted by the National Library of Medicine, the National Endowment for the Humanities, the German Historical Institute, Drexel University, Pepperdine University, Senchu University, and Shizuoka University.

Speakers
AR

Andrew Ruis

Researcher, UW-Madison


Saturday January 25, 2020 09:00 - 11:30 CST
Researcher's Link

09:00 CST

Introducing Software Development Practices and Tools for Research in the Behavioral and Social Sciences
Intended audience: individuals doing (or planning to do) research in the behavioral and social sciences at all levels, in industrial, public, and/or academic settings. Basic proficiency in some programming language is assumed (Python, R, etc.)

Workshop Outline:
1. Organization: creating a simple and well-structured project file system
2. Isolation: using virtual environments
3. Record-keeping: using version control systems
4. Example 1: writing a simple reproducible data analysis script
5. Example 2: setting up machine learning experiment tracking
6. Reliability: testing your code
7. Summary and conclusions
8. Resources to learn more

Requrements:
Attendees need to bring their own personal computer.
Software requirements to be installed beforehand:
  • Python 3.7.0 up to 3.7.6 (higher or lower than that may not work properly)
  • git (https://git-scm.com/downloads)
  • VSCODE (https://code.visualstudio.com/)
  • For Windows users:
    • cygwin (https://www.cygwin.com/)
    • or the ubuntu distribution in the Windows subsystem for linux (https://docs.microsoft.com/en-us/windows/wsl/install-win10)
  • Join to the workshop's slack channel: https://bit.ly/2sWIncQ

Speakers
PC

Pablo Caceres

PhD Student and LUCID Trainee, University of Wisconsin-Madison


Saturday January 25, 2020 09:00 - 11:30 CST
McArdle Building, Room 1109

09:00 CST

Introduction to Machine Learning for Experimental Biologists
Despite its popularity among computational researchers, machine learning remains elusive to experimental biologists. Most machine learning courses and tutorials require substantial background knowledge in coding and mathematics, which many biologists may lack. Bioinformatics workshops for biologists assume less coding experience, but participants are often taught to mechanically run through a software pipeline for certain tasks without learning the best practices in various stages of the workflow. Instead, our educational objective is to equip biologists with the proper mindset when engaging with machine learning in their research and the ability to critically analyze machine learning applications in their domain. Our ml4bio workshop teaches machine learning literacy, that is, how to set up learning problems, reason about learning algorithms, assess trained models, and communicate with machine learning experts. We developed interactive software with a graphical interface and hands-on activities that explain some of the most frequently used classification algorithms in biological research. The software and interactive exercises guide participants through a full cycle of the machine learning workflow while doing proper model training, validation, selection, and testing. 

All participants should bring a laptop and install the software before coming to the workshop. No prior machine learning or coding experience is necessary. This workshop is intended for beginners in the machine learning field. The work-in-progress workshop materials and timetable can be found at https://gitter-lab.github.io/ml-bio-workshop/index.html The workshop follows The Carpentries Code of Conduct. The instructors have taught three pilot versions of the workshop, and one is a UW-Madison assistant professor.

Speakers
AG

Anthony Gitter

Assistant Professor, UW-Madison / Morgridge Institute


Saturday January 25, 2020 09:00 - 11:30 CST
Orchard View Room 330 N. Orchard St. Madison, WI

11:30 CST

Career Flash Talks (Career Session)

Qian (Jane) You, American Family Insurance 
Maureen Smith, Health Innovation Program 
Amy Yang, SuccessWorks
Tobin Magle, Division of Information Technology (DoIT)
Lauren Michael, Center for High Throughput Computing
Heather Shimon, UW Libraries
Martha Borgwardt, Epic

Saturday January 25, 2020 11:30 - 13:30 CST
Deluca Forum 330 N. Orchard St., Madison, WI
 
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