Time 2019-10-19 2019-10-20 2019-10-21 2019-10-22
Saturday Sunday Monday Tuesday
9:00 AM Workshops Coffee with a Proffie Community Planning Meeting
9:30 AM
10:00 AM Break Break
10:30 AM Invited Symposium Plenary session
(Jim Gee)
11:00 AM
11:30 AM Closing Session
12:00 PM Lunch Lunch Doctoral Consortium & Early Career Workshop
(w/Box Lunch)
12:30 PM
1:00 PM Welcome
1:30 PM Paper Panels Paper Panels
2:00 PM
2:30 PM Break Break
3:00 PM Paper Panels Paper Panels
3:30 PM
4:00 PM Doctoral Consortium & Early Career Workshop Kickoff Break Break
4:30 PM Keynote
(Dragan Gašević)
(Golnaz Arastoopour Irgens)
5:00 PM
5:30 PM Break Break
6:00 PM Early Career Get Together Poster w/ cocktails
6:30 PM Conference Dinner
7:00 PM
7:30 PM
8:00 PM

October 19, Saturday

Doctoral Consortium and Early Career Workshop Kickoff

4:00 PM – 6:00 PM

Doctoral students and early career researchers will present and discuss their research with peers and experienced researchers.

Early Career Get Together

6:00 PM – 8:00 PM

On the evening before the conference, we will reserve space in a local restaurant and invite early career participants to meet other people at the conference.

October 20, Sunday


1:00 PM – 1:30 PM

This is a chance to register, get conference materials and meeting other conference participants and our venue at UW – Madison.


9:00 AM – 12:00 PM

Important: We are not planning to have an additional charge for attending workshops because we believe these topics play an important role in community-building.

Introduction to Epistemic Network Analysis

Kamila Misiejuk and Brendan Eagan

Participants will be introduced to Epistemic Network Analysis (ENA) and use it with their own data or datasets provided to them.

Introduction to Automated Coding and nCoder

Amanda Siebert-Evenstone and Seung Bok Lee

Participants will work individually and in teams to step through the process of identifying, defining, classifying, and validating a code or set of codes using nCoder and rho.

Advanced Epistemic Network Analysis

Srecko Joksimovic, Cody Marquart, and Zach Swiecki

Participants will be introduced to and work with advanced features of Epistemic Network Analysis (ENA) in rENA and the webtool.


6:00 PM – 7:30 PM

We are planning one poster session, which will be held in a large space with catered hors d’oeuvres and an open bar. Learn about QE work in its formative stages, ask questions, give feedback and suggestions. This is a great chance to see where the QE community is headed and meet potential collaborators!

October 21, Monday

Coffee with a Proffie

9:00 AM – 10:00 AM

This session will pair more senior members in the field with up-and-coming researchers to provide guidance and advice about research and career trajectories.

Invited Symposium

10:30 AM – 12:00 PM

Chair: Simon Buckingham Shum

Panel: Karin Frey, Jun Oshima, Adam Lefstein, David Williamson Shaffer

Paper Panels

Instead of the traditional symposium where presenters give a talk about their work and then there is a short discussion at the end this symposium, we will have a carefully moderated discussion among senior scholars about this new field and its relationship to other work, other disciplines, and methods.

Each panel will have three 10-minute paper presentations including time for questions, followed by a moderated panel with the presenters where they will interact with each other’s ideas.

Conference Dinner

6:30 PM – 8:00 PM

Join your colleagues and friends, old and new, for a meal on the last evening of the conference.

October 22, Tuesday

Community Planning Meeting

9:00 AM – 10:00 AM

This event is open to all and provides a chance for attendees to meet and discuss plans for a future conference(s) and other next steps for the development of the community.

Closing Session

11:30 AM – 12:00 PM

David Williamson Shaffer will reflect on the development of our community in the context of the first International Conference of Quantitative Ethnography.

Doctoral Consortium and Early Career Workshop

12:00 PM – 3:00 PM

Doctoral students and early career researchers will meet with peers and mentors to engage in discussions about individual research projects as well as pressing issues and themes in Quantitative Ethnography.