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IMPRS LSHO Welcome (Back) Day 2022 - 4 November 2022

In September the new term 2022/2023 of the Leipzig School of Human Origins begins and on behalf of the directors we want to welcome (back) all members of the International Max Planck Research School „The Leipzig School of Human Origins” to the Max Planck Institute for Evolutionary Anthropology (MPI EVA) and to Leipzig. We have scheduled several events and invite you to participate in the Welcome Day Program.

Friday, 4 November 2022

10 am              Welcome and Introduction - Richard McElreath
(MPI EVA Lecture hall, 2nd floor)

11 am             Getting to know MPI EVA - PhD representatives and others

1 pm               Lunch Break

2 pm               MPI EVA Library Introduction

3 pm               Institute Tour with Dustin Eirdosh
                        (we meet next to the reception)

4 pm               Get together & BBQ* 
                        (Institute Hall & outside the Cafeteria)

Please register until October 31, 2022 by sending an email to leipzig-school@[>>> Please remove the text! <<<]eva.mpg.de.

RESEARCH SEMINAR on “Very Little Evolutionary Game Theory”

Instructor: Richard McElreath
Location: MPI-EVA Leipzig, Main lecture hall (seminar room 4th floor on 1 Nov)
Time: Tuesdays 10am-12pm
Dates: 4 Oct, 11 Oct, 1 Nov, 8 Nov, 15 Nov
Topical outline:
Lecture 1. The evolution of conflict
Lecture 2. The evolution of cooperation
Lecture 3. The evolution of relationships
Lecture 4. The evolution of families
Lecture 5. The evolution of societies

Summary: Five 2-hour lectures demonstrating how simple models of
strategic interaction illuminate important topics in the evolution of animal
behavior.

Specifics: Lectures will be chalk-on-slate and show the construction and
solution of the most basic and famous results of evolutionary game theory.
I'll provide extensive notes to accompany the lectures, but you'll still want
a notebook to copy the board work during class. There will be algebra. But
no calculus or advanced math required.

Audience: Students and researchers at MPI-EVA and iDiv. If there is space,
other Leipzig folks welcome.

Credit: There will be a single homework problem each week that will help
you solidify the lecture material and practice extending it. Students who
complete all of the assignments can earn 1 ECTS course credit.

Dates for the Core Seminar Weeks in 2022

Core Seminar Week: Functional Genomics and Paleogenomics
Monday, 30 May - Friday, 03 June 2022
Click here for more information, including the schedule.

Core Seminar Week: Human Evolutionary Ecology and Cultural Evolution
Date: to be announced

IMPRS PhD retreat

Place: Harnack House, Ihnestraße 16-20, Berlin
Date: 04-06 May 2022
Organizers: PhD representatives
Contact: leipzig-school@[>>> Please remove the text! <<<]eva.mpg.de or phd_representatives@[>>> Please remove the text! <<<]eva.mpg.de

Statistical Rethinking 2022

Tuesday, 4 January to Friday, 11 March 2022

Instructor: Prof. Dr. Richard McElreath
Lectures: Uploaded and pre-recorded, two per week
Discussion: Online, Fridays 3pm-4pm Central European Time

This course teaches data analysis, but it focuses on scientific models first. The unfortunate truth about data is that nothing much can be done with it, until we say what caused it. We will prioritize conceptual, causal models and precise questions about those models. We will use Bayesian data analysis to connect scientific models to evidence. And we will learn powerful computational tools for coping with high-dimension, imperfect data of the kind that biologists and social scientists face.

Format: Online, flipped instruction. The lectures are pre-recorded. We'll meet online once a week for an hour to work through the solutions to the assigned problems. We'll use the 2nd edition of my book, <Statistical Rethinking>. I'll provide a PDF of the book to enrolled students.

Course info: https://github.com/rmcelreath/stat_rethinking_2022
Sign-up: https://www.eventbrite.co.uk/e/statistical-rethinking-2022-tickets-207786975437

For participating regularly and doing all homework sets, PhD students can get 2 ECTS.