The City of Dallas has made the Data Science Institute aware of three employment opportunities. Please see below for more information!
Sr Data Science Analyst
System Administrator
Data Training and License Manager
Dan Millimet blogs about measurement error
Professor Dan Millimet, Dept. of Economics, discusses the problem with noisy data, and the problems it causes in making inferences
https://causalscience.org/blog/measurement-error-can-be-a-serious-problem-for-causal-inference
Sachs Summer Scholars Event
The Data Science Institute is proud to invite you to the Parkland Center for Clinical Innovation’s Summer Scholars Presentation. For the last three years, SMU has participated in PCCI’s Women in Data Science and Technology Summer Internship program. This summer, three of SMU’s Data Science students worked alongside PCCI mentors on important applications of data science to public health problems right here in Dallas County. The end-of-summer symposium presenting the work of the Summer Scholars will be held on August 6, 2021 from 10:00 to 12:30. All are welcome to attend to hear about their work. (The Zoom link is below, following the Agenda.)
| Women in Data Science and Technology Summer Internship 2021
Parkland Center for Clinical Innovation (PCCI) Program Agenda August 06, 2021 – 10:00AM – 12:30PM 10:00: Introduction: Steve Miff, CEO & President PCCI 10:10: Guest Speaker Greetings: Kaci Anderson 2020 Sachs Summer Scholar 10:20: Presentation: Lu Zhang – “iFHIR” Development of an EHR agnostic, smart on FHIR API application that identifies a patient’s social determinants using clinical notes and an NLP model deployed on PCCI’s Isthmus Platform. 10:35: Presentation: Olayide Adejumobi – “Impact of Social Determinates on Patients with Cancer” The projects highlights SDOH screening approaches and journey mapping for patients with cancer to identify opportunities for improvement in patient outcomes. 10:50: Presentation: Karen Mendoza – “Validation of COVID-19 Vaccine Efficacy” Validation of COVID-19 vaccine efficacy claims made by Pfizer, Moderna and Johnson & Johnson of their respective vaccines, using Dallas County COVID-19 vaccination data from DCHHS. 11:10: Comfort Break 11:20: Presentation: Ashley Edison (SMU Ph.D. student in Statistical Science) De – “Know Thy Patient: Social Determinants for ED Patients” Identifying characteristics of Emergency Department utilizers and their relationship to ED visits. 11:35: Presentation: Teresa Acosta (SMU, Biology) – “Homeless Ethics Liaison Project (HELP)” The Homeless Ethics Liaison Project (HELP) identifies the scope and acuity of the needs of homeless individuals for whom an ethics consult has been conducted at Parkland Health and Hospital System. 11:50: Presentation: Sandra Chrzaszcz – “From Illness to Wellness” Analyzing the top expensive chronic conditions to design a new program that will lower costs and improve health outcomes. 12:05: Presentation: Sharon Park (SMU Ph.D. student in Biostatistics) – “Social Determinate of Health Factors for Pediatric Asthma Patients” Effect of multiple determinants to address PCCI’s asthma risk prediction in the pediatric patient population. |
12:20: Closing: Steve Miff
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To join the Symposium on Friday, August 6 from 10 – 12:30, join on Zoom at this link:
https://smu.zoom.us/j/91275496334?pwd=Z3BvUWlPK2JIeDB4d1ZWSVhPRWp0QT09
Meeting ID: 912 7549 6334
Passcode: 369811
One tap mobile
+13462487799,,91275496334# US (Houston)
+12532158782,,91275496334# US (Tacoma)
Human Rights and Data Science Conference Agenda
https://smu.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=5cfd68ba-4fe4-456a-a0b3-ace9014bec93
This virtual conference was a kick-off event for the Data Science Institute at SMU. For two afternoons, we heard speakers from across the country and close to home, working in non-profits and academia, applying data science tools to complex human rights and social justice problems. Videos of the talks and discussion are accessible below.
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https://smu.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=5cfd68ba-4fe4-456a-a0b3-ace9014bec93
Session 1: Thursday, February 25, 2021, 2:00 PM – 3:30 PM CST
- Megan Price (Keynote speaker), Executive Director, Human Rights Data Analysis Group
- How do we achieve the most good and the least harm?
- Caitlin Augustin, Senior Director, DataKind
- Art of the Possible – using data science, machine learning, and AI to advance positive social impact
- Shannon Loomis, Founder and CTO, Community Lattice
- Using Data Science to Promote Environmental Justice
- David Corliss, Founder, Data Scientist, Chrysler Fiat and Founder, Peace-Work
- Measuring Bias in Machine Learning Algorithms
Session 2: Thursday, February 25, 2021, 3:45 PM – 4:30 PM CST
Q&A with Leaders in Human Rights and Social Good Non-profits/Volunteer organizations, including HRDAG, DataKind, Community Lattice, Peace-Work, and Statistics Without Borders
Session 3: Friday, February 26, 2021, 1:00 PM – 2:15 PM CST
- Andrew Davies, Victoria Smiegocki, & Gregory Guggenmos, Deason Criminal Justice Reform Center, SMU Law School
- Data Science Approaches to Criminal Justice Research at the Deason Center
- Robin Mejia, Director of the Statistics and Human Rights Program, Center for Human Rights Science, Carnegie Mellon University
- Understanding mortality in correctional institutions: From description to assessment
- Idean Salehyan, Dept. of Political Science, University of North Texas
- Coding Protest Event Data with Incomplete and Conflicting Media Coverage
Session 4: Friday, February 26, 2021, 2:30 PM – 4:00 PM CST
- Tony Ng, Dept. of Statistical Science, SMU
- Data-Driven Network Predictive Modelling for Human Trafficking Network
- Davina Durgana, American University and Vice Chair, Statistics without Borders
- Finding Today’s Slaves: Lessons Learned From Over A Decade of Measurement in Modern Slavery
- Vanessa Bouche, Dept. of Political Science, Texas Christian University
- Mining Human Trafficking Prosecutions Data: Insights from structuring the unstructured
Eric Godat and Rob Kalescky discuss how they helped get us back on campus during Fall 2020 in the midst of Covid
Dr. Eric Godat and Dr. Rob Kalesky, both of SMU’s Office of Information Technology, were given the job of determining how to schedule classes in available rooms on campus in Fall 2020,while allowing students and faculty to maintain social distancing. They discuss the scheduling algorithm they developed to meet the criteria set by the administration.
Shen Yin and Sherry Wang discuss their research on normalizing RNA data and their collaboration with medical scientists
Shen Yin recently successfully defended his dissertation for the Ph.D. in Biostatistics under the direction of Professor Sherry Wang of the Statistical Science Department. Dr. Shen and Dr. Wang developed a new method to process RNA from tissues that do not have to be kept frozen, making them cheaper and easier to maintain and transport to labs (Yin, S., Wang, X., Jia, G., and Xie, Y. (2020). MIXnorm: Normalizing Gene Expression Data from RNA Sequencing of Formalin-Fixed Paraffin-Embedded Samples. Bioinformatics). Their method produces more accurate results about gene expression from the RNA than other methods currently available. Extracting gene expression information has proven useful in understanding and treating many conditions in humans, so is of critical importance in medical research. Listen to Shen and Sherry describe their research, the process of interdisciplinary collaboration, and provide a tour of their tool that performs the processing.