Summer School in Experimental Methods & Simulations in Social and Cognitive Sciences (EMS-SCS 2021)

Saint Petersburg, Russia
July 13–22, 2021

Call for Participation
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Summer School in Experimental Methods & Simulations in Social and Cognitive Sciences (EMS-SCS 2021)

Saint Petersburg, Russia
July 13–22, 2021

Call for Participation

Graduation Hat About the school

Focus

EMS-SCS Summer School will introduce participants to applications of experimental methods across social, behavioral and cognitive sciences while also providing hands-on training in a number of state-of-the-art experimental and simulation tools and techniques.

The School will consist of up to nine courses and tutorials including both theoretical lectures and practical workshops. The working language of the School is English.

Audience

The school is designed to accommodate both seasoned scholars of social and cognitive sciences looking to sharpen their methodological skills, and early-career researchers who are relatively new to experimentation and simulation. Advanced PhD students are also welcome.

HSE sign Organizers

National Research University Higher School of Economics (HSE, Russia), and Laboratory for Social and Cognitive Informatics (SCILA).

Participation

Location and format

The summer school will be held in a mixed format. Most activities will be online, but those willing and able to attend in person will have an opportunity to take classes and socialize on the campus of the Higher School of Economics in Saint Petersburg, Russia. One workshop will be offline-only; an alternative online activity will be scheduled for the same time slot for those attending virtually.

We will ensure that both online and offline participants have equal opportunity to be involved in the discussion.

How to apply?

To apply, please submit the following Google Form. Applications not accompanied by a CV will not be considered. After reviewing the applications, we will notify the participants about the acceptance.

Payment link will be sent to the participants via email after the reviewing process is finished.

Fees

We use a triple-tiered fee structure based on the World Bank's indicators of Gross National Income. You can read more about tier system.

Tier A Tier B Tier C
Non-academic 350 € 300 € 250 €
Academic 300 € 250 € 200 €
Students* 250 € 200 € 150 €

* Proof of enrollment during the Spring 2021 semester must be provided at the time of registration.

We will provide one merit-based scholarship in the amount of the participation fee to an applicant based in Russia who is currently enrolled as a full-time PhD student. All eligible applicants will be automatically considered for this tuition waiver, which will be awarded based on the evaluation of motivation letters.

Important dates
  • May 16 — application deadline.
  • May 26 — notification of acceptance.
  • June 16 — payment deadline.
  • July 1 — cancellation deadline (refund — 50% of the payment).

If you are willing to participate in person and you need a visa to enter Russia, we strongly recommend applying for it as soon as possible since it might require up to three months for the paperwork to be processed. Furthermore, amid the pandemic-induced uncertainty there can be no assurance that travel will go back to normal by July. If you pay the participation fee but ultimately find yourself unable to travel to St. Petersburg, you will be automatically enrolled as an online participant. More on the mixed format of the School and travel.

Prerequisites

Participants must be fluent in English, the working language of the School, and have a command of the basics of quantitative social science research. Please note that hands-on workshops may have individual coding prerequisites. Participation in the (offline-only) eye tracker tutorial requires proficiency with R, and those taking the O-Tree online tutorial are expected to be familiar with Python.

Cancellation rules

If you need to cancel your registration, send us an email (do not forget to include your full name). Please be aware of our refund policy:

  • Refund until July 1: 50% of payment.
  • Cancellation/withdrawals received after July 1 will not be eligible for a refund.

Newspaper News

The course schedule is available now!
April 1, 2021 new!
You can find the detailed plan for each Summer school day. It is possible to automatically switch timezone for the schedule!
Meet the instructors of the EMS-SCS’21
March 9, 2021
We are glad to announce the instructors of the Summer School in Experimental Methods and Simulations in Social and Cognitive Sciences. Our School brings together scholars from leading universities around the world that have profound expertise in research methodology. The full list of instructors is available here; the detailed description of the courses and tutorials will be available shortly.
Apply for the Summer School in Experimental Methods & Simulations in Social and Cognitive Science
March 1, 2021
We are delighted to announce the first call for participation in the EMS-SCS Summer School, scheduled for July 13-22, 2021. You can apply using this Google Form. Please check out information on the requirements and program.

Program

Instructors

Meghan Sanders
Meghan Sanders
Associate Professor and Director of Media Effects Lab at Manship School of Mass Communication, Louisiana State University, USA
Reinhold Kliegl
Reinhold Kliegl
Senior Professor at the Division of Training and Movement Science, former chair of the Division of Cognitive Psychology, University of Potsdam, Germany
Martin Lukac
Martin Lukac
LSE Fellow in Computational Social Science in Methodology Department, London School of Economics, UK
Elena Gorbunova
Elena Gorbunova
Director of Laboratory for Cognitive Psychology of Digital Interface Users, Higher School of Economics, Moscow, Russia
Amalia Álvarez Benjumea
Amalia Álvarez Benjumea
Senior Research Fellow at Max Planck Institute for Research on Collective Goods, Bonn, Germany
Svetlana Alexeeva
Svetlana Alexeeva
Senior Researcher at the Institute for Cognitive Studies, Saint Petersburg State University, Russia
Maximilian Rabe
Maximilian Rabe
Research Assistant in Experimental and Biological Psychology, University of Potsdam, Germany

Courses

Introduction to experiments with examples from psychology
Elena Gorbunova Elena Gorbunova

This course will cover the basics of experimental planning and execution, including theoretical questions, types of experimental designs and their comparative advantages and disadvantages, experimental validity, etc. When it comes to social sciences experimentation, a lot of difficult questions arise. How do I formulate the hypotheses of my experimental study? How do I choose the most appropriate design? What is the best way to define a sample? How to create the stimuli? Should I keep my experiment as simple as possible or should I try a complex design? We will review the aspects of experimental planning relevant for all social sciences, with the focus on studies in psychology.

Online experiments with examples from sociology and political science
Amalia Álvarez Benjumea Amalia Álvarez Benjumea

This course will cover the design of online experiments, specifically focusing on the implementation of online treatments and measurement of attitudinal and behavioral variables online. We will discuss the advantages of web-based designs for collecting data on a large scale, as well as for implementing the lab-in-the-field and natural experiments. The course will use examples from the existing research, but also give students a chance to participate in a real online experiment. Furthermore, the course will cover common problems and limitations of online experimentations and strategies of dealing with them. Specifically, we will talk about possible issues with data quality and participant motivation. Best practices of online research will also be discussed.

This course will have a section introducing students to causal inference from experimental and quasi-experimental designs. Particularly, students will learn how to collect the data so as to establish that the relationship in question is causal.

Experiments in media and consumer studies
Meghan Sanders Meghan Sanders

The course will cover a selection of specific topics, including repeated messages experimental designs, facial expression capture and eye-tracking for webpage perception research.

A more detailed description will be provided shortly.

Agent-based modeling
Martin Lukac Martin Lukac

The course will introduce the students to simulation as a research approach and make an overview of NetLogo simulation environment, as well as touch the aspects of complexity theory that are relevant for simulation.

A more detailed description will be provided shortly.

Eye-Movement tracking for reading research (guest lecture)
Reinhold Kliegl Reinhold Kliegl

The lecture will cover the basic assumptions and rationale of eye-tracking research of reading, introduce the students to its main experimental paradigms and the basic approaches to data collection and reduction.

Practical training session with an eye-tracker (offline only)
Svetlana Alexeeva Svetlana Alexeeva

This workshop will consist of a series of hands-on sessions designed to help learners incorporate eye-tracking methodologies in their research. The first section is an introduction to eye tracking covering eye physiology, basic eye movements and oculomotor events measured. The second section will cover eye-tracking hardware, focusing on types of equipment and participant setup. The third practical training session will focus on recording eye movements of participants scanning social media webpages. The final session will cover data export and analysis.

Online experiments: PsychoPy & Pavlovia tutorial
Reinhold Kliegl Elena Gorbunova

Online experimentation has enabled relatively cheap and fast data collection on a massive scale, making familiarity with various toolkits for online experiments an indispensable skill for researchers. This tutorial offers an overview of one such platform, Pavlovia, which is based on the PsychoPy software package. Students will practice building their own experiments in PsychoPy and transferring them to Pavlovia.

Contrast analysis of experimental data with regression modeling: A tutorial on hypr R package
Maximilian Rabe Maximilian Rabe

Comparison of groups receiving different treatments is the core of experimental data analysis and is usually addressed with ANOVA. While the latter is derived from the same statistical framework as linear regression, in ANOVA hypothesis testing is relatively limited. Linear regression allows more specific hypothesis testing, but its specification and interpretation requires some understanding of the concept of contrasts. In this hands-on workshop, we will look at this concept and common contrast coding schemes more closely. The hypr package in R will aid our exploration of the link between statistical hypotheses and contrast codes. During the course, we will talk about different contrasts, how to validate the underlying statistical hypotheses of a given contrast coding scheme, and how to derive contrasts for testing our own hypotheses in a linear regression.

Calendar Schedule

School time is shown for DST (UTC-5) WEST (UTC+1) CEST (UTC+2) MSK (UTC+3) CST (UTC+8) timezone.

Week 1

Time Tue,
13 July
Wed,
14 July
Thu,
15 July
Fri,
16 July
Sat,
17 July
Elena Gorbunova
“Introduction to experiments with examples from psychology”
Martin Lukac
“Agent-based modeling”
Elena Gorbunova
“Introduction to experiments with examples from psychology”
Elena Gorbunova
“Online experiments: PsychoPy & Pavlovia tutorial”
Martin Lukac
“Agent-based modeling”
Martin Lukac
“Agent-based modeling”
Martin Lukac
“Agent-based modeling”
Elena Gorbunova
“Introduction to experiments with examples from psychology”
Elena Gorbunova
“Online experiments: PsychoPy & Pavlovia tutorial”
Martin Lukac
“Agent-based modeling”
SELF Martin Lukac
“Agent-based modeling”
Meghan Sanders
“Experiments in media and consumer studies”
Meghan Sanders
“Experiments in media and consumer studies”
Meghan Sanders
“Experiments in media and consumer studies”
Meghan Sanders
“Experiments in media and consumer studies”
Meghan Sanders
“Experiments in media and consumer studies”

Week 2

Time Mon,
19 July
Tue,
20 July
Wed,
21 July
Thu,
22 July
Amalia Álvarez Benjumea
“Online experiments with examples from sociology and political science”
Maximilian Rabe
Online elective
Maximilian Rabe
Online elective
Just-in-case Day
Amalia Álvarez Benjumea
“Online experiments with examples from sociology and political science”
Maximilian Rabe
Online elective
Maximilian Rabe
Online elective
Reinhold Kliegl
“Eye-Movement tracking for reading research (guest lecture)”
Amalia Álvarez Benjumea
“Online experiments with examples from sociology and political science”
Amalia Álvarez Benjumea
“Online experiments with examples from sociology and political science”
Svetlana Alexeeva
“Practical training session with an eye-tracker (offline only)”
Svetlana Alexeeva
“Practical training session with an eye-tracker (offline only)”
Svetlana Alexeeva
“Practical training session with an eye-tracker (offline only)”
Svetlana Alexeeva
“Practical training session with an eye-tracker (offline only)”

School time is shown for the following timezone:

Week 1

Tue, 13 July

Time Instructor
Elena Gorbunova
“Introduction to experiments with examples from psychology”
Elena Gorbunova
“Introduction to experiments with examples from psychology”
Elena Gorbunova
“Introduction to experiments with examples from psychology”
Meghan Sanders
“Experiments in media and consumer studies”

Wed, 14 July

Time Instructor
Elena Gorbunova
“Online experiments: PsychoPy & Pavlovia tutorial”
Elena Gorbunova
“Online experiments: PsychoPy & Pavlovia tutorial”
Meghan Sanders
“Experiments in media and consumer studies”

Thu, 15 July

Time Instructor
Martin Lukac
“Agent-based modeling”
Martin Lukac
“Agent-based modeling”
Meghan Sanders
“Experiments in media and consumer studies”

Fri, 16 July

Time Instructor
Martin Lukac
“Agent-based modeling”
Martin Lukac
“Agent-based modeling”
SELF
Meghan Sanders
“Experiments in media and consumer studies”

Sat, 17 July

Time Instructor
Martin Lukac
“Agent-based modeling”
Martin Lukac
“Agent-based modeling”
Meghan Sanders
“Experiments in media and consumer studies”

Week 2

Mon, 19 July

Time Instructor
Amalia Álvarez Benjumea
“Online experiments with examples from sociology and political science”
Amalia Álvarez Benjumea
“Online experiments with examples from sociology and political science”
Reinhold Kliegl
“Eye-Movement tracking for reading research (guest lecture)”

Tue, 20 July

Time Instructor
Maximilian Rabe
Online elective
Maximilian Rabe
Online elective
Amalia Álvarez Benjumea
“Online experiments with examples from sociology and political science”
Svetlana Alexeeva
“Practical training session with an eye-tracker (offline only)”
Svetlana Alexeeva
“Practical training session with an eye-tracker (offline only)”

Wed, 21 July

Time Instructor
Maximilian Rabe
Online elective
Maximilian Rabe
Online elective
Amalia Álvarez Benjumea
“Online experiments with examples from sociology and political science”
Svetlana Alexeeva
“Practical training session with an eye-tracker (offline only)”
Svetlana Alexeeva
“Practical training session with an eye-tracker (offline only)”

Thu, 22 July

Time Instructor
Just-in-case day

Travel

Due to the challenges of the global pandemic, we will be unable to provide full support with travel, accomodation, and visa application. It is also impossible to foresee what travel limitations will be in place in July 2021 and whether it will be possible to issue a visa on a short notice. Usually this process requires ten-thirteen weeks but in the present circumstances the procedure and its duration are unpredictable. Thus, if you are unsure whether you will be able to get a visa on time, we recommend that you participate online. We will be happy to answer any further questions regarding the possibility of your visit and assist to the extent possible.

Travel

Organizers

HSE logo SCILA logo

The EMS-SCS Summer School 2021 is organized by Laboratory for Social and Cognitive Informatics (SCILA) which is based at the National Research University Higher School of Economics (HSE) in Saint Petersburg, Russia. SCILA is an interdisciplinary team of researchers that studies human interactions with information, technologies, and other humans relying on social, behavioral, cognitive, and computer sciences.

Contacts