Loading…

Sign up or log in to bookmark your favorites and sync them to your phone or calendar.

Wednesday, November 10
 

12:30pm PST

Data science for social impact in university-based programs
Slide decks are attached to this session, for call-in attendees. Some slides have been removed because permission to share could not be obtained.
See also: Dharma Dailey's slides - https://doi.org/10.5281/zenodo.5669627

https://escience.washington.edu/data-for-good-workshop/


Creating a University-Based Data for Good Program: A Decision Points Workshop
We invite you and your colleagues to apply to attend a free online workshop on designing a university-based Data for Good program offered remotely over four, 2-hour sessions between January 14 and February 4, 2022. University-hosted Data for Good (D4G) programs provide research, service, and learning opportunities to students through team-based projects run outside of normal course offerings (typically during the summer). Popular with students, D4G programs provide the opportunity to work directly with data science mentors and subject matter experts from non-profits, government agencies, community organizations, and academia. Those interested in starting a program are invited to apply to attend the workshop. Discussions will draw on the collective experience of organizers running successful D4G programs in the US, Canada, and UK— experience shared recently in the white paper The Data for Good Growth Map. Applications close December 10th. Learn more here.

Abstract:
Making a positive social impact with data-intensive technologies requires partnerships across a range of stakeholders who can provide both technical expertise and nuanced understanding of the social issues and contexts in question. In recent years, a number of such partnerships have emerged through university-based initiatives. Data for Good summer programs are one approach that consist of fellowships for data science students to work on focused, collaborative projects with non-profit and government partners. Another approach has been to partner with research organizations working in (mostly) urban communities that have been collecting and evaluating societal data for many years.This session will have short 'roadmap' presentations on these approaches aimed at organizations interested in designing similar programs, followed by a panel session featuring leaders of various programs to draw out commonalities and challenges as well as potentially unique situations for each approach.

Chairs: Doug Hague (University of North Carolina, Charlotte) and Sarah Stone (University of Washington)

Speakers:
Dharma Dailey (University of Washington)
Amy Hawn Nelson (University of Pennsylvania)

Panelists:
Cass Dorius (Iowa State University)
Gizem Korkmaz (University of Virginia)
Rebecca Shearer (University of Miami)
Karthikeyan Umapathy (U of North Florida)
David Uminsky (University of Chicago)

Moderators
avatar for Doug Hague

Doug Hague

Executive Director, School of Data Science, UNC Charlotte
As founding Executive Director, Dr. Doug Hague established the vision for the School of Data Science, as well as manages its resources, programs, and serves as the representative to the UNC Charlotte community and external industry partners.Dr. Hague has more than 20 years of experience... Read More →
AH

Amy Hawn Nelson

University of Pennsylvania
avatar for Sarah Stone

Sarah Stone

Executive Director, eScience Institute, University of Washington

Speakers
avatar for Cass Dorius

Cass Dorius

IDS Taskforce, Iowa State University
Dr. Cassandra Dorius is an Associate Professor of Human Development and Family Studies at Iowa State University. Her research focuses on translating scholarship into practice through a broad range of state and national collaborations centered on data quality, community outreach, and... Read More →
avatar for Karthik Umapathy

Karthik Umapathy

Associate Professor, University of North Florida
avatar for David Uminsky

David Uminsky

University of Chicago
David Uminsky joined the University of Chicago in September 2020 as a senior research associate and Executive Director of Data Science. He was previously an associate professor of Mathematics and Executive Director of the Data Institute at University of San Francisco (USF). His research... Read More →
DD

Dharma Dailey

University of Washington
avatar for Gizem Korkmaz

Gizem Korkmaz

Research Associate Professor, Co-Director of Data Science for the Public Good Young Scholars Program, University of Virginia
Gizem Korkmaz is an Associate Professor at the Social and Decision Analytics Division (SDAD) of the Biocomplexity Institute and Initiative at the University of Virginia. She is also an Adjunct Assistant Professor in the Department of Agricultural and Applied Economics at Virginia... Read More →
RS

Rebecca Shearer

University of Miami



Wednesday November 10, 2021 12:30pm - 2:00pm PST
Virtual Zoom link coming soon!
 
Wednesday, November 17
 

12:30pm PST

Data Science Conversations: Montgomery College and Wake Technical Community College
Register, free, now:
https://us02web.zoom.us/meeting/register/tZApf-2rrDgjHd0ospyCLEL7r2KSG3oif4de

Join us! We will hear 5 min lightning talks from Montgomery College and Wake Technical Community College followed by moderated discussion and audience Q&A. The focus will be on approaches and challenges of implementing data science programs at 2 years colleges.

Montgomery College is a two-year college located outside of Washington, D.C., ranked Most Diverse TYC (in continental US) by Chronicle of Higher Ed, and has an enrollment of approximately 55,000 total students across three campuses. The first cohort to join the College’s Data Science Certificate program in 2017 included 30 students. To date, we have over 200 students who are either currently enrolled in or have taken data classes in the past.

Wake Tech is North Carolina’s largest community college, serving more than 70,000 adults annually, with six campuses, three training centers, multiple community sites, and a comprehensive array of online learning options. Wake Tech is accredited and offers more than 200 associate degrees, diplomas, and certificates that prepare students for university transfer or immediate employment. WTCC's Associate of Applied Science degree, in Data Science and Programming Support Services, prepares learners to design and develop desktop and web application with an emphasis on business logic and data‐driven applications.


The discussion will focus on the questions:
  1. Who are the students we serve?
  2. What are the academic and career goals of these students in terms of our data science courses?
  3. How can we fill data science needs in our community?
  4. What are the skills needed from data science faculty?



Moderators
avatar for Nicholas Horton

Nicholas Horton

Professor of Statistics and Data Science, Amherst College
I'm interested in statistics and data science education at the undergraduate and associates level as well as data science pathways from K-12 to college/university.

Speakers
avatar for Norene Kemp

Norene Kemp

Department Head Programming & Information Sciences, Wake Technical Community College
I am the Department Head of Programming and Information Sciences.  I am responsible for three programs within the Information Technology Division.  Those programs are Business Analytics, Computer Programming and Development, & Data Science Programming and Support Services.  I have... Read More →
avatar for Rachel Saidi

Rachel Saidi

Associate Professor & Data Science Certificate Program Coordinator, Department of Mathematics, Statistics, and Data Scie, Montgomery College
I am a faculty member in the Math, Statistics, and Data Science Department at Montgomery College. I am the incoming chair for AMATYC's Data Science Sub Committee , and I am the Data Science Program Coordinator for Montgomery College's three programs, which include a Data Science Certificate... Read More →



Wednesday November 17, 2021 12:30pm - 1:30pm PST
 
Wednesday, December 1
 

12:30pm PST

Emerging AI Technologies for Inclusion of Underserved Populations
Register, free, here:
https://us02web.zoom.us/webinar/register/WN_Rrb9GIAZQpWLE3BsI8ZyVg

Abstract:
The development of AI models has often been siloed and associated with lack of representative data samples across different social classes and cultures. Conventional deep learning models often do not perform well when there is such undersampling of data. This can impact marginalized populations as the data curation is not representative or inclusive of all groups. In this panel, we discuss how curating new datasets and corpora representing the Hispanic population, can contribute to inclusive AI systems that mitigates biases towards underserved populations and move towards democratizing AI. The panel group will discuss this across different case studies in: long-term health tracking, disease classification in dementia and its subtypes, and population diversity in biological models, and cognitive behavioral changes from wearable sensors across diverse demographics.

Chair: Dhireesha Kudithipudi (UT San Antonio)

Panelists:
Mohamad Habes (UT Health, San Antonio)
Dhireesha Kudithipudi (UT San Antonio)
Paula Kay Shireman (UT Health, San Antonio)
Amina Qutub (UT San Antonio)

Moderators
avatar for Dhireesha Kudithipudi

Dhireesha Kudithipudi

University of Texas at San Antonio

Speakers
AQ

Amina Qutub

UT San Antonio
avatar for Mohamad Habes

Mohamad Habes

UT Health, San Antonio
PK

Paula Kay Shireman

UT Health, San Antonio


Wednesday December 1, 2021 12:30pm - 1:30pm PST
Virtual Zoom link coming soon!
 
Wednesday, December 8
 

12:30pm PST

Data Science Conversations: Florida A&M University/HBCU Consortium and Johnson C. Smith University
Register, free, here:
https://us02web.zoom.us/meeting/register/tZcrfu2vqDgtGNPqaWHxgNEL4MTOkX7o012Q

Join us! We will hear 5 min lightning talks from Florida A&M University/HBCU Consortium and Johnson C. Smith University, followed by moderated discussion and audience Q&A. The focus will be on approaches and challenges of implementing data science programs at Historically Black Colleges and Universities.

Moderators
avatar for LaTanya Brown-Robertson

LaTanya Brown-Robertson

Professor of Economics, Data Science and Analytics Initiative Lead,, Bowie State University
Dr. LaTanya Brown-Robertson has led funded grants through the Carnegie and Ford Foundations to address underserved communities' issues in the United States. Dr. Brown currently serves as Principal Investigator for two Data Science and Analytics Grants and leads the Data Science Analytics... Read More →

Speakers
JT

Jason T. Black

Florida A&M University
Dr. Jason T. Black is an Associate Professor in Information Systems and Operations Management in the School of Business and Industry at FAMU. Dr. Black’s research interests include business analytics/Big Data, mobile computing, and educational technology. Additionally, Dr. Black... Read More →
avatar for Felesia Stukes

Felesia Stukes

Assistant Professor of Computer Science, Johnson C. Smith University
Dr. Felesia Stukes is an assistant professor of Computer Science at Johnson C. Smith University (JCSU). Dr. Stukes has directed two federally-funded projects to develop capacity in data science by enhancing faculty and student knowledge and research using engaging and culturally-relevant... Read More →



Wednesday December 8, 2021 12:30pm - 1:30pm PST
Virtual Zoom link coming soon!
 
Wednesday, December 15
 

12:30pm PST

Creating Inter-institutional Data Science Pathways: Streamlining Access to Data Science Education in California
Register, free, here:
https://us02web.zoom.us/webinar/register/WN_i_sHlGdHTBuqlyHYlqvYrA

Abstract:
This panel will discuss the California Alliance for Data Science Education, a new collaborative effort that spans across 150 campuses of the California Community Colleges (CCCs), California State Universities (CSUs), and the University of California (UC) systems. It aims to democratize and streamline access to Data Science Education throughout California, building access to Data Science curriculum in traditionally underserved communities in STEM. The alliance does so by synchronizing data science efforts across campuses to build a shared open-source infrastructure, create community college transfer pipelines, and empower leaders at partner campuses.

In partnership with a non-profit computing organization 2i2c and CloudBank, the team has facilitated access to fully-maintained JupyterHubs for California Community Colleges that have launched Data Science Curriculum. The board of the alliance has been focused on standardizing procedures for community college Data Science class articulation to four-year colleges in California, working with key stakeholders including campus articulation officers, the UC Office of the President, and the CCC Chancellor’s Office. Lastly, the alliance has held multiple data science education workshops and regularly holds cross-campus discussions, elaborating on the specifics of building a successful undergraduate Data Science curriculum.

Chair:
Eric Van Dusen (UC Berkeley)

Panelists:
Aaron Fraenkel (UC San Diego)
Judith Canner (CSU Monterey Bay)
Solomon Russell (El Camino College)
Kseniya Usovich (UC Berkeley)


Moderators
avatar for Eric Van Dusen

Eric Van Dusen

Tech and Outreach Lead, University of California, Berkeley
Dr. Eric Van Dusen is the Tech and Outreach Lead for the Data Science Undergraduate Studies, as well as a Lecturer for a Data Science connector course an Honors Thesis course.  Van Dusen has been lead for the Modules  and Connectors initiatives for Data Science Undergraduate Studies... Read More →

Speakers
AF

Aaron Fraenkel

University of California, San Diego
avatar for Judith Canner

Judith Canner

Professor of Statistics, California State University, Monterey Bay
Dr. Judith E. Canner received her B.S. in Mathematics from Shippensburg University, PA, in 2004 and her Ph.D. in Biomathematics and Zoology from North Carolina State University, Raleigh, NC. She joined the Mathematics and Statistics Department at CSUMB as the first Assistant Professor... Read More →
SR

Solomon Russell

El Camino College
KU

Kseniya Usovich

UC Berkeley


Wednesday December 15, 2021 12:30pm - 2:00pm PST
Virtual Zoom link coming soon!
 
Wednesday, January 5
 

12:30pm PST

Data Science Conversations: Jackson State University and Fisk University
Register, free, here:
https://us02web.zoom.us/meeting/register/tZ0tfumurjgiE9f97iXYa3MJvYtIhIBZEzXi

Join us! We will hear 5 min lightning talks from Jackson State University and Fisk University, followed by moderated discussion and audience Q&A. The focus will be on approaches and challenges of implementing data science programs at Historically Black Colleges and Universities.

Moderators
avatar for Talitha Washington

Talitha Washington

Director, Atlanta University Center Data Science Initiative
Dr. Talitha Washington is the inaugural Director of the Atlanta University Center Data Science Initiative. This new initiative seeks to provide data-driven solutions to current and emerging societal problems, especially as it pertains to the African American community. Poised to bring... Read More →

Speakers
SH

Sajid Hussain

Fisk University
VM

Venkata Melapu

Jackson State University



Wednesday January 5, 2022 12:30pm - 1:30pm PST
Virtual Zoom link coming soon!
 
Wednesday, January 12
 

12:30pm PST

Data Science Conversations: University of Michigan and University of Washington
Register, free, here:
https://us02web.zoom.us/meeting/register/tZ0lcO-qqzwrHtLWrxAkv04mHtoHD4w-93ft

Join us! We will hear 5 min lightning talks from University of Michigan and University of Washington, followed by moderated discussion and audience Q&A. The focus will be on approaches and challenges of implementing data science programs.

Moderators
AB

Andreas Berlind

Professor and Director of Graduate Studies, Astrophysics, Vanderbilt University

Speakers
JL

Jing Liu

Managing Director, MIDAS, University of Michigan
avatar for Sarah Stone

Sarah Stone

Executive Director, eScience Institute, University of Washington
HJ

H.V. Jagadish

Director, MIDAS, University of Michigan
AC

Andrew Connolly

Director, eScience Institute, University of Washington



Wednesday January 12, 2022 12:30pm - 1:30pm PST
Virtual Zoom link coming soon!
 
Wednesday, January 19
 

12:30pm PST

Data Science Conversations: New Jersey Institute of Technology and University of Arizona
Register, free, here:
https://us02web.zoom.us/meeting/register/tZcvde6gpzIuE9AX_HY59eXewkfA-jTqlxa-

Join us! We will hear 5 min lightning talks from New Jersey Institute of Technology and University of Arizona, followed by moderated discussion and audience Q&A. The focus will be on approaches and challenges of implementing data science programs.

Moderators
AW

Amy Wagler

Associate Professor of Mathematical Sciences, Director of Data Analytics Lab, University of Texas, El Paso
Dr. Amy Wagler is an Associate Professor and Associate Chair of Mathematical Sciences at the University of Texas at El Paso (UTEP). She directs the Border Biomedical Research Center Biostatistics Unit and Data Analytics Lab at UTEP. She also directs a new PhD in Data Science program... Read More →

Speakers
avatar for Joe Watkins

Joe Watkins

Director, Data Sciences Academy, University of Arizona
Joseph Watkins is a professor in the Department of Mathematics and Director of the Data Sciences Academy at the University of Arizona. His research training is in probability theory and he has collaborated with scholars in anthropology, biochemistry, bacteriology, computer science... Read More →
avatar for David Bader

David Bader

Distinguished Professor, New Jersey Institute of Technology
David A. Bader is a Distinguished Professor in the Department of Computer Science and founder of the Department of Data Science and inaugural Director of the Institute for Data Science at New Jersey Institute of Technology. Prior to this, he served as founding Professor and Chair... Read More →



Wednesday January 19, 2022 12:30pm - 1:30pm PST
Virtual Zoom link coming soon!
 
Wednesday, January 26
 

12:30pm PST

Non-Ableist Data Science
Register, free, here:
https://us02web.zoom.us/webinar/register/WN_SABMML7rRiimunQeRQtAMA

Abstract: Data science is increasingly important in producing knowledge and technologies that impact us daily. How we analyze data, design analysis tools, deploy algorithmic systems, and publish data-driven conclusions matters to real lives. When data science ignores variations and disparities in the human experience, it can bias decision-making and outcomes that negatively affect people with disabilities.

In this hands-on workshop, we adopt an equity lens to ask how data scientists can confront ableism, which is systemic bias that privileges people with “typical” abilities. Our breakout teams will be guided through the following activities: (1) explore data science as a practice that includes planning, building, and deploying; (2) identify patterns of ability-based bias in data science; (3) analyze particular cases of ableism in data science; and (4) develop tools that can guide data science practitioners in avoiding the most common ableist pitfalls.

Chair: Anat Caspi (University of Washington)

Speakers
avatar for Anat Caspi

Anat Caspi

University of Washington
Established in 2014, the Taskar Center for Accessible Technology (TCAT) strives to promote independence, quality of life and inclusion for people with physical and speech impairments. We aim to enhance access to everyday technologies through the development of user-focused novel interfaces... Read More →


Wednesday January 26, 2022 12:30pm - 2:00pm PST
Virtual Zoom link coming soon!
 
Wednesday, February 2
 

12:30pm PST

Data Science Conversations: Boston University and University of Chicago
Register, free, here:
https://us02web.zoom.us/meeting/register/tZAkde2gqzIiEtEkqKRR2bB4lqXlPCaMr5fZ

Join us! We will hear 5 min lightning talks from Boston University and University of Chicago, followed by moderated discussion and audience Q&A. The focus will be on approaches and challenges of implementing data science programs.

Moderators
avatar for Phil Bourne

Phil Bourne

Dean and Professor, School of Data Science, University of Virginia
Philip E. Bourne, PhD, FACMI is the Stephenson Dean of Data Science, Professor of Data Science and a Professor in the Department of Biomedical Engineering at the University of Virginia.

Speakers
avatar for Azer Bestavros

Azer Bestavros

Boston University
Azer Bestavros is BU’s inaugural Associate Provost for Computing & Data Sciences and the William Fairfield Warren Distinguished Professor of Computer Science in the College of Arts & Sciences. Working closely with the Provost and with senior academic leaders, he is responsible for... Read More →
avatar for David Uminsky

David Uminsky

University of Chicago
David Uminsky joined the University of Chicago in September 2020 as a senior research associate and Executive Director of Data Science. He was previously an associate professor of Mathematics and Executive Director of the Data Institute at University of San Francisco (USF). His research... Read More →



Wednesday February 2, 2022 12:30pm - 1:30pm PST
Virtual Zoom link coming soon!
 
Friday, February 4
 

12:30pm PST

Data Science Conversations: Bowie State University and Winston-Salem State University
Register, free, here:
https://us02web.zoom.us/meeting/register/tZAocuGpqzgqGNBbXQxiJUy0GU5v6MYsXWOs

Join us! We will hear 5 min lightning talks from Bowie State University and Winston-Salem State University followed by moderated discussion and audience Q&A. The focus will be on approaches and challenges of implementing data science programs at Historically Black Colleges and Universities.

Read more about the data science programs at these two schools HERE and in the attached pdfs.
https://academicdatascience.org/leaders/dsinstitutionupdates

Moderators
avatar for LaTanya Brown-Robertson

LaTanya Brown-Robertson

Professor of Economics, Data Science and Analytics Initiative Lead,, Bowie State University
Dr. LaTanya Brown-Robertson has led funded grants through the Carnegie and Ford Foundations to address underserved communities' issues in the United States. Dr. Brown currently serves as Principal Investigator for two Data Science and Analytics Grants and leads the Data Science Analytics... Read More →

Speakers
avatar for Jill Keith

Jill Keith

Professor of Biochemistry and Interim Director Biomedical Reserach, Winston-Salem State University
Dr. Jill Keith is a Professor of Biochemistry and Interim Director of the Biomedical Research Infrastructure Center, Winston-Salem State University (WSSU) and Adjunct Professor at Wake Forest University Health Sciences in Physiology and Pharmacology. She received a BS degree from... Read More →
AZ

Azene Zenebe

Professor and Chair of Management Information Systems (MIS) department, Bowie State University
Dr. Azene Zenebe is a Full Professor of Information Systems in the College of Business at Bowie State University. He has been at Bowie State University since 2005. Dr. Zenebe has a Ph. D. in 2005 and Master of Science in Information Systems in 2003 from University of Maryland Baltimore... Read More →
avatar for Debzani Deb

Debzani Deb

Founding Director, Center for Applied Data Science (CADS), Winston-Salem State University
Dr. Debzani Deb is an Associate Professor of Computer Science at the Winston-Salem State University. She is also the founding director of the Center for Applied Data Science (CADS) at WSSU. Her research interests are in the areas of Big Data Analytics, Machine Learning, Cloud Computing, and Computer Science Education. She is the recipient of 2021 Wilveria B. Atkinson Distinguished Research Award at WSSU. She authored and coauthored over 40 referred journal... Read More →



Friday February 4, 2022 12:30pm - 1:30pm PST
Virtual Zoom link coming soon!
 
Wednesday, February 9
 

12:30pm PST

Community-Centered Benefit Sharing and New Data Equities
Register, free, here:
https://us02web.zoom.us/webinar/register/WN_y59dWOOYTW-moYfF9HheAw

Abstract:
Data collected from underrepresented communities is of utmost interest for a variety of purposes, from drug therapeutics to algorithm development. Yet, there are still no detailed regulations and guidelines around data governance and reciprocity, neither on a global scale nor in the United States. While many researchers advocate for the increased collectivization of information from public and open databases for the “greater good of research and innovation”, historically oppressed communities are concerned that such data extraction may continue existing colonial exploitative models that do not translate to direct benefit for those people from whom the data is derived.

We argue that it is imperative to create new models for data equities to encourage benefit-sharing. In recent years, new models of engagement have been developed that ensure research participants benefit from the development of new therapeutics (by receiving free or low-cost access to developed therapies); receive a share of any financial value created; and can take greater control in the data governance and analysis process through scientific capacity building. In this interactive session, we will hear perspectives on data justice from three scholars (one moderator and two speakers) from Indigenous and Black communities and two representatives (both speakers) in the industry and government sectors to learn how all areas of research and development can ethically promote data equity and empowerment.

Session Chair: Krystal Tsosie (Native BioData Consortium, Arizona State University)

Speakers:
Keolu Fox (University of California, San Diego) - Moderator
Latifa Jackson (Howard University)
Kaja Wasik (Variant Bio)
Ann McCartney (National Institutes of Health, National Human Genome Research Institute, Bioinformatics)
Krystal Tsosie (Native BioData Consortium, Arizona State University)




Moderators
avatar for Keolu Fox

Keolu Fox

University of California, San Diego
Keolu Fox is the first Native Hawaiian to receive a doctorate in genome sciences, and he is an Assistant Professor at the University of California, San Diego (UCSD), where is a co-founder and co-director of the world's first Indigenous Futures Institute. Keolu is also affiliated with... Read More →

Speakers
avatar for Latifa Jackson

Latifa Jackson

Howard University
Latifa Jackson received her PhD in Biomedical Science at Drexel University with a focus in bioinformatics and a Masters degree in Ecology & Evolutionary Biology from University of Arizona. She uses informatics and machine learning approaches to study genetic patterns that contribute... Read More →
avatar for Ann McCartney

Ann McCartney

NIH
Ann McCartney graduated top of her class in Genetics and Cell Biology and was granted an Irish Research Council Award to complete her PhD in Bioinformatics and Molecular Evolution in Dublin City University, Ireland. Her first Postdoctoral Research Fellowship for "Genomics Aotearoa... Read More →
avatar for Krystal Tsosie

Krystal Tsosie

ELSI and Policy Director / Incoming Assistant Professor, Native BioData Consortium / Arizona State University
Krystal Tsosie (Diné/Navajo Nation) is an Indigenous geneticist-bioethicist at Vanderbilt University, incoming faculty at Arizona State University. As an advocate for Indigenous genomic and data sovereignty, she co-founded the first US Indigenous-led biobank, a 501c3 nonprofit research... Read More →
avatar for Kaja Wasik

Kaja Wasik

CSO and Co-Founder, Variant Bio
Kaja Wasik is the co-founder and Chief Science Officer at Variant Bio, a Seattle-based startup developing therapies to improve global health by studying the genes of individuals and populations who are outliers for medically relevant traits. Kaja started Variant Bio because she believes... Read More →


Wednesday February 9, 2022 12:30pm - 2:00pm PST
Virtual Zoom link coming soon!
 
Wednesday, February 16
 

12:30pm PST

Data Science Conversations: University of Texas, San Antonio and University of Virginia
Register, free, here:
https://us02web.zoom.us/meeting/register/tZYlde2srDItGtZuCWrZEbHDis-SF-4nH_KV

Join us! We will hear 5 min lightning talks from University of Texas, San Antonio and University of Virginia, followed by moderated discussion and audience Q&A. The focus will be on approaches and challenges of implementing data science programs.

Moderators
AW

Amy Wagler

Associate Professor of Mathematical Sciences, Director of Data Analytics Lab, University of Texas, El Paso
Dr. Amy Wagler is an Associate Professor and Associate Chair of Mathematical Sciences at the University of Texas at El Paso (UTEP). She directs the Border Biomedical Research Center Biostatistics Unit and Data Analytics Lab at UTEP. She also directs a new PhD in Data Science program... Read More →

Speakers
avatar for Arlyn Burgess

Arlyn Burgess

Associate Dean for Administration, University of Virginia School of Data Science
Arlyn Burgess is the Associate Dean for Administration for the School of Data Science at the University of Virginia, which enables data science work throughout the University and coordinates educational and data-driven research programs. The School of Data Science – UVA’s 12th... Read More →
avatar for David Mongeau

David Mongeau

Director, School of Data Science, University of Texas, San Antonio
David Mongeau is Founding Director, School of Data Science and Professor of Practice, University College, at The University of Texas at San Antonio. He is accountable for leading the School of Data Science to the forefront of data science research, education, and value creation for... Read More →



Wednesday February 16, 2022 12:30pm - 1:30pm PST
Virtual Zoom link coming soon!
 
Wednesday, February 23
 

12:30pm PST

Data Science Program Accreditation
Register, free, here:
https://us02web.zoom.us/webinar/register/WN_8HHG6guhTrertotaRmr5cw


Abstract:
As of April 21, 2021, the American Statistical Association is now a full member of CSAB (https://csab.org/), joining the world’s two largest professional and technical societies for computing, the Association for Computing Machinery (ACM) and the IEEE Computer Society (IEEE-CS). As the lead ABET member society for computing, CSAB is responsible for developing accreditation criteria for a number of programs including Data Science. Programs in data science and data analytics, which have previously not fallen under ABET’s accreditation umbrella, will soon be eligible for ABET accreditation. There are two distinct ABET groups working on data science program accreditation criteria - the Applied and Natural Sciences Accreditation Commission (ANSAC) and Computing Accreditation Commission (CAC). This session will provide an update on the process and will discuss the drafting of the criteria. The session will be interactive by design to provide the participants an opportunity to share their insights and ask questions.

Chairs: Donna LaLonde (American Statistical Association), Dave Hunter (Penn State and ASA), and Kathy Ensor (Rice University and ASA)

Moderators
DL

Donna LaLonde

Director of Strategic Initiatives and Outreach, American Statistical Association

Speakers
avatar for Ron Wasserstein

Ron Wasserstein

Executive Director, American Statistical Association
DH

Dave Hunter

Penn State and ASA


Wednesday February 23, 2022 12:30pm - 2:00pm PST
Virtual Zoom link coming soon!
 
Wednesday, March 2
 

12:30pm PST

Data Science Conversations: University of Wisconsin-Madison and University of Oklahoma
Register, free, here:
https://us02web.zoom.us/meeting/register/tZYvc-iqrj0iHN1IVrDBiqvv46WUF2lTCaXA

Join us! We will hear 5 min lightning talks from University of Wisconsin-Madison and University of Oklahoma, followed by moderated discussion and audience Q&A. The focus will be on approaches and challenges of implementing data science programs.

Moderators
avatar for Phil Bourne

Phil Bourne

Dean and Professor, School of Data Science, University of Virginia
Philip E. Bourne, PhD, FACMI is the Stephenson Dean of Data Science, Professor of Data Science and a Professor in the Department of Biomedical Engineering at the University of Virginia.

Speakers
avatar for David Ebert

David Ebert

University of Oklahoma
David S. Ebert is an Associate Vice President for Research and Partnerships, the Gallogly Chair Professor of electrical and computer engineering, and Director of the Data Institute for Societal Challenges at the University of Oklahoma in Norman, OK, USA. He is the recipient of the... Read More →
KC

Kyle Cranmer

Director of the American Family Insurance Data Science Institute, University of Wisconsin-Madison
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 →



Wednesday March 2, 2022 12:30pm - 1:30pm PST
Virtual Zoom link coming soon!