Data Science and Human Behavior
August 5th – August 7th, 2019
eLUCID8 will feature presentations, panels and keynote talks intended to discuss research and current issues related to machine learning, human behavior and education. The conference will bring together our non-academic partners from industry, non-profit organizations and governmental agencies; academic collaborators; and also be open to community members interested in this research.
Register
What to expect
Agenda
Sessions
Who should come to eLUCID8
For communication during the conference (your questions, announcements and evaluation links) please sign up for eLUCID on Slack: Slack
Where: Aug 5th events (3-5p; 6:30-8:30p) will be held at the Wisconsin Institutes for Discovery Building on 330 N Orchard St. in the H.F. DeLuca Forum (1st floor).
Aug 6th & 7th events (9a-5p) will be held Education Building, 1000 Bascom Mall in the Wisconsin Ideas Room (room 159).
Examples of topics:
- How AI is affecting Education
- How Machine Learning can be used to combat the opioid crisis
- How behaviors can be nudged to avoid crippling student loan debt
- How big data is changing our understanding of reproductive health
- and a host of other issues of critical import to our society
If you just want to get a sense of who is doing what in this space, both within and outside UW, join us at eLUCID8!
What to expect:
eLUCID8 is a conference designed to connect people interested in data science and human behavior, both within and outside the University of Wisconsin-Madison. eLUCID8 provides a venue for presenting or hearing about new research, for learning about particular problems or challenges faced by applications of this research to contemporary real-world problems, and for brainstorming new opportunities for basic and applied research.The meeting will feature:
KEYNOTES:
- Jordan Ellenberg, UW Professor and author of the acclaimed book How Not to be Wrong–the most compelling book on mathematics and society you are likely to read.
- Patrick Shafto, director of the Cognitive and Data Science Lab at Rutgers University and a leading expert on the ways that machine learning and cognitive science can impact education.
- Bob Mankoff humor and cartoon editor of the Esquire and founder of Botnik Studios, a startup that aims to foster creativity via human-machine collaboration.
PANEL DISCUSSIONS:
- What’s causing the diversity crisis in data science
- Understanding science denialism
FEATURED SESSIONS:
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The latest UW research connecting data science and human behavior and exploring human and machine collaboration.
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New projects, problems, and opportunities faced by partners in industry, health, and non-profit sectors
The event is free for presenters and attendees alike, and is funded by the LUCID graduate training program as part of the NSF’s National Research Traineeship program. It will be held at the Wisconsin Institute for Discovery, Madison WI, on August 5th and at the Education Building in the Wisconsin Ideas Room on August 6th and 7th.
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Agenda
Monday August 5th | Wisconsin Institutes for Discovery, H.F. DeLuca Forum
3:00-5:00 Data Blitz in Human Behavior Research
6:30-7:30 Welcome Reception (appetizers and cash bar)
7:30-8:30 PUBLIC KEYNOTE: Jordan Ellenberg
Tuesday August 6th | Education Building, Wisconsin Ideas Room
9:00-11:00 Hot off the Press: New Data Science & Human Behavior Research
11:00-12:00 What’s Causing the Diversity Crisis In Data Science?
12:00-1:00 Lunch Break
1:00-3:30 LUCID Speaks: Connecting Data Science & Human Behavior
3:30-4:00 Networking Break
4:00-5:00 KEYNOTE: Patrick Shafto
Wednesday August 7th | Education Building, Wisconsin Ideas Room
9:00-9:30 Welcome from LUCID Director, Tim Rogers
9:30-11:30 Data Science in the Wild: Allying Research with Government and Industry
11:30-12:30 Networking Lunch
12:30-2:00 Understanding Science Denialism
2:00-3:30 LUCID talks: Exploring Human and Machine Collaboration
4:00-5:00 KEYNOTE: Bob Mankoff
Sessions
Data Blitz in Human Behavior Research, Aug 5th 3-5p Discovery Building
This session will be 7 short talks from Psychology Research Experience Program (PREP) alumni. PREP provides mentoring and experience in scientific research to undergraduates from historically underrepresented populations and first generation college students who have an interest in a career in scientific psychology. PREP alumni will be joining us from University of Iowa, Emory University, University of Alabama at Birmingham, University of Michigan, University of Arizona, Wright State University and Alma College and University of Nebraska-Lincoln.
Speakers and talk titles:
| Josie Ullsperger | “A Biopsychosocial Exploration of Early Pubertal Timing Effects on Adolescent Psychopathology: Are Personality Traits the Missing Links?” |
| Derek Novacek | “Psychosis-risk among Black American youth: The role of stressful experiences and cognitive schemas” |
| Omar Maximo | “Duration of Untreated Psychosis Correlates with Brain Connectivity and Morphology in Antipsychotic-Naïve Patients with First Episode Psychosis” |
| Imani Burris | What Doesn’t Kill You’: Making Meaning of Adversity Through Challenge Mindset |
| Ariana Stickel | “The impact of hypertension on cognitive aging among late middle age and older Hispanics and non-Hispanic Whites” |
| Michelle Wang | “The effect of cueing on target localization in noise: ID vs Location” |
| Monica Rosen | “The relationship between eye-movements and memory performance during scene viewing is influenced by viewing mode” |
Hot off the Press: New Data Science & Human Behavior Research, Aug 6th 9-11a Education Building rm 159
This session will be 7 short talks from current students in Psychology Research Experience Program (PREP). PREP provides mentoring and experience in scientific research to undergraduates from historically underrepresented populations and first generation college students who have an interest in a career in scientific psychology.
Speakers and talk titles:
| Quentin Wedderburn | “How children and adults update vocal emotion categories” |
| Roshni Patel | “A novel training program to improve children’s rating of facial emotion intensity” |
| Isley Jean-Pierre | “Children’s Multicultural Literature: A Content Analysis” |
| Jennifer Lin | What It Is and What We Can Be: Using Social Norms to Influence Intergroup Attitudes and Behaviors |
| Miles Stroud | “Social support, strain and the aging brain” |
| Urszula Oszczapinska | Individual differences in perceptual adaptation, perceptuo-motor adaptation, and perceptual learning’ |
| Kendra Pauquette | “Machine-assisted prediction of alcohol use disorder severity from Facebook” |
What’s Causing the Diversity Crisis in Data Science?, Aug 6th 11a-12p Education Building
This panel will discuss Diversity Crisis in STEM fields, specifically Data Science. Hear from Lavar Charleston, Associate Dean for Diversity and Inclusion at the School of Education; Percival Matthews, Professor in Educational Psychology and Faculty Diversity Liaison, Pablo Caceras, a LUCID graduate student from Chile; Ariana Stickel, a PREP alumni and current graduate student at Arizona State and Michelle Wang, a PREP alumni and current graduate student at Wright State University.
LUCID Speaks: Connecting Data Science & Human Behavior, Aug 6th 1-3:30p
Hear from our LUCID students and faculty about current research and projects.
| Martina Rau | Using Machine Learning to Overcome the Expert Blind Spot for Perceptual Fluency Trainings |
| Edward Hubbard | The Development of Notation-Independent Representations of Fractions |
| Rui Meng | Interpretation of Covariation Data: Effect of Variable Symmetry |
| Scott Sievert | Resource allocation for mini-batch SGD |
| Sarah Sant’Ana | Classifying Alcohol Use Disorder with Social Media: A Passive, Scalable approach. |
| Owen Levin | Adversarial examples: optical illusions for machine learning algorithms |
| Raymond Doudlah | Biologically plausible neural models for 3D orientation perception |
| Emily Ward | Exploring Perceptual Illusions in Deep Neural Networks |
Data Science in the Wild: Allying Research with Government and Industry, Aug 7th 9:30-11:30a
We invited research partners in industry, government, non-profit agencies and non-traditional research collaborators to speak about collaborative research projects. Hear from Glenn Fung, Artificial Inteligence and Machine Learning Research Director at American Family Insurance; Alyssa Adams, Labs Director & Data Scientist at Veda Data Solutions; Mesrob Ohannessian, Research Professor at Toyota Technological Institute at Chicago; Jenna Nobles, Professor of Sociology; Rebecca Rapp, general counsel and colleagues at Great Lakes Higher Education Corporation.
Understanding Science Denialism, Aug 7th 12:30-2p
This panel will have experts in science communication discussing best practices in communicating research that can polarize audiences. Hear from Dominique Brossard, Professor of Life Sciences Communication; Cassandra Willyard, Science Journalist; Nicholas Schmuel, Scientist in UW OBGYN Reproductive and Population Health and Tim Rogers, Professor of Psychology.
LUCID Talks: Exploring Human and Machine Collaboration, Aug 7th 2-3:30p
Hear from our LUCID students and faculty about current research and projects.
Stay tuned for announcements on speakers for our sessions!
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Who Should Come to eLUCID8?
For partners outside the university: We are interested in building connections between scientists at UW with specialized knowledge and skillsets, and partners in industry, government, and nonprofit areas interested in understanding how research in data science and human behavior might benefit or impact their missions. Part of this endeavor involves information sharing. What research is happening at UW, and how does it connect to real-world issues that matter to partners? What kinds of problems are partners facing, and how might they be addressed by researchers at the University? eLUCID8 seminars and panels bring both sides up to speed in a series of short, accessible talks, open discussion, and networking opportunities. If you are thinking about ways your mission can be enhanced via collaboration with the University, have internship opportunities for students with expertise in data science and human behavior, or are just curious to hear what all the fuss is about, eLUCID8 can help.
For scientists, administrators, and thought leaders at all levels within the university: eLUCID8 is an opportunity to hear about and get involved with state of the art research connecting data science, AI, machine learning, and human behavior, both in the lab and in real-world contexts.
- If you want to know about how AI is affecting education,
- or how machine learning can be used to combat the opioid crisis,
- or how behaviors can be nudged to avoid crippling student loan debt,
- or how big data is changing our understanding of reproductive health,
- or about a host of other issues of critical import to our society, eLUCID8 can help.
If you just want to get a sense of who is doing what in this space, both within and outside UW, we can help with that as well.
For the public: Maybe you think this stuff is just cool or important or scary, and you just want to understand it better. We can help! All eLUCID8 events are free to attend and open to all.
How do I get involved? Just indicate your intent to participate by registering: Register
eLUCID8 is funded by the National Science Foundation, via the National Research Traineeship grant that funds the LUCID graduate training program.