_posts/2022-02-10-HIM-trimester.md

+---
+layout: post
+author: mkohlhase
+title: "Special Trimester on \"Prospects of Formalized Mathematics\" at the Hausdorff Institute of Mathematics in Bonn"
+tags:
+  - Announcements
+---
+The [Hausdorff Institute of Mathematics](https://www.him.uni-bonn.de/) will offer a
+Special [Trimester on "Prospects of Formalized Mathematics"](https://www.him.uni-bonn.de/programs/future-programs/future-trimester-programs/prospects-of-formal-mathematics/description/) May-August 2024.
+[Prof. Kohlhase](https://kwarc.info/kohlhase) coordinates the organization. 

_posts/2022-02-27-sTeX3@CTAN.md

+---
+layout: post
+author: mkohlhase
+title: "sTeX3 Release on CTAN"
+tags:
+  - Announcements
+---
+[sTeX3](https://github.com/slatex/stex) is a complete rewrite of sTeX - An infrastructure
+for semantic preloading of LaTeX documents - in the LaTeX3 framework. It has just been
+released to [CTAN](https://ctan.org) the Comprehensive TeX Archive Network, and will be
+part of [TeXLive 2022](https://www.tug.org/texlive/) due out in April.  
+
+After almost 15 years, sTeX needed a complete makeover to regularize syntax, weed out
+unused and deprecated features, and synchronize it better with the
+[MMT](https://uniformal.github.io) system and functionality. 
+
+Compared to sTeX1, the new implementation does away with the need for external systems in
+the PDF workflow, allows to add sTeX functionality to arbitrary document classes, and
+completely reworks the XML-based content generation. Instead of using a
+[LaTeXML](https://math.nist.gov/~BMiller/LaTeXML/) fork we use
+[RusTeX](https://github.com/slatex/RusTeX/) a new TeX engine that directly interprets the
+sTeX3 packages and generates semantically annotated XHTML5 which can then be harvested by
+[MMT](https://uniformal.github.io) for further knowledge management services. 
+
+Further development of the sTeX ecosystem (the packages, an IDE, RusTeX, ...) will
+continue on [sLaTeX group on GitHub](https://githhub.com/sLaTeX).

_posts/2022-05-04-MMT-release-22.md

+---
+layout: post
+author: mkohlhase
+title: "MMT Release 22"
+tags:
+  - Announcements
+---
+After almost 18 months of development, [MMT](https://uniformal.github.io) - the flagship
+system of the KWARC group - has been released in [version
+22](https://github.com/UniFormal/MMT/releases/tag/v22.0.0).
+
+The long development time of this release has been a consequence of the growing
+inter-dependency of the system-near library and the system code, which led to serious
+maintenance problems in the past. Another problem was that a lot of dead code had
+accumulated over the last decade. 
+
+These problems have been addressed in version 22 (see the [release
+notes](https://github.com/UniFormal/MMT/releases/tag/v22.0.0) for details) and we hope
+that MMT can now serve as a much more stable basis for mathematical knowledge management
+and we can return to a faster release cycle for the future. 

_posts/2022-08-11-introducing-stex3.md

+---
+layout: post
+author: dmueller
+title: "Presenting sTeX3"
+tags:
+  - Announcements
+---
+[Dennis Müller](/people/dmueller)'s recent presentation on and demonstration of the [sTeX3](https://github.com/slatex/stex) system at the [TeX Users Group Conference 2022](https://tug.org/tug2022/) is now available on [YouTube](https://youtu.be/QXSO6IQ-SX4).

_posts/2022-09-14-tipes.md

+---
+layout: post
+author: frabe
+title: "Representing Scientific Knowledge"
+tags:
+  - Announcements
+---
+[Florian Rabe](https://kwarc.info/people/frabe/) gives [invited talk](https://kwarc.info/people/frabe/Research/slides/rabe_tipes_22.pdf) at the [annual meeting](https://indico.nbi.ku.dk/event/1784/) of the [TiPES project](https://www.tipes.dk/) on Tipping Points in the Earth System.

_posts/2022-09-23-europroofnet.md

+---
+layout: post
+author: frabe
+title: "Exporting Proof Assistant Libraries"
+tags:
+  - Announcements
+---
+[Florian Rabe](https://kwarc.info/people/frabe/) gives [invited talk](https://kwarc.info/people/frabe/Research/slides/rabe_oafexp_22.pdf) at [EuroProofNet workshop](https://cicm-conference.org/2022/cicm.php?event=euproofnet&menu=general) on the development, maintenance, refactoring and search of large libraries of proofs.

_posts/2022-10-24-dagstuhl.md

+---
+layout: post
+author: frabe
+title: "Automated mathematics: integrating proofs, algorithms and data"
+tags:
+  - Announcements
+---
+[Florian Rabe](https://kwarc.info/people/frabe/) will co-organize a [Dagstuhl Seminar](https://www.dagstuhl.de/seminars/seminar-calendar/seminar-details/23401) on automated mathematics in October 2023.

_posts/2023-01-20-lean_export.md

+---
+layout: post
+author: frabe
+title: "Lean Export in MMT"
+tags:
+  - Announcements
+---
+Starting with [the most recent devel commit](https://github.com/UniFormal/MMT/commit/1c79ed7edff9ddf3af63073adaf5f33031cd0267) MMT includes an export of the Lean prover libraries (via the low-level export files as parsed by the [treppline](https://github.com/gebner/trepplein) library.

_posts/2023-01-23-hcm.md

+---
+layout: post
+author: frabe
+title: "The Future of Formalized Mathematics"
+tags:
+  - Announcements
+---
+[Florian Rabe](https://kwarc.info/people/frabe/) gives [colloquium talk](https://kwarc.info/people/frabe/Research/slides/rabe_future_23.pdf) at the [Hausdorff Center of Mathematics](https://www.hcm.uni-bonn.de/hcm-home/) in Bonn.

contact.md

@@ -8,12 +8,12 @@ For general questions, contact the head of the group:
 
 *Professur für Wissensrepräsentation und -verarbeitung*; Informatik, FAU Erlangen-Nürnberg
 
-**Office**: Martensstraße 3, 91058 Erlangen, Room11.139, tel/fax: (49) 9131-85-64052/55, <michael.kohlhase@fau.de>
+**Office**: Martensstraße 3, 91058 Erlangen, Room11.139, tel/fax: (49) 9131-85-64052/55, michael.kohlhase  [at] fau.de
 
-**Secretary**: Gabriele Schönberger, Room 11.158, tel/fax: (49) 9131-85-64052/55, <gabriele.schoenberger@fau.de>
+**Secretary**: Gabriele Schönberger, Room 11.158, tel/fax: (49) 9131-85-64052/55, gabriele.schoenberger [at] fau.de
 
 For specific questions, please contact the members of the KWARC group directly or use the mailing lists:
 
- * <core@kwarc.info> (the core group, i.e. PIs, postdocs, and Ph.D. students)
- * <group@kwarc.info> (all KWARCies, i.e. including students)
- * <admin@kwarc.info> (for systems, ...)
+ * core [at] kwarc.info (the core group, i.e. PIs, postdocs, and Ph.D. students)
+ * group [at] kwarc.info (all KWARCies, i.e. including students)
+ * admin [at] kwarc.info (for systems, ...)

courses/AIProj.md

 ---
 layout: course
 
-title: Projekt zur Künstlichen Intelligenz
+title: AI Research Project
 instructors:
     - mkohlhase
-    - dmueller
+    - frabe
 semesters: 
-    - WS19/20
-    - SS19 
-    - WS18/19
-    - SS18 
-    - WS17/18
-    - SS17 
-    - WS16/17
     - SS16
+    - WS16/17
+    - SS17 
+    - WS17/18
+    - SS18 
+    - WS18/19
+    - SS19 
+    - WS19/20
+    - SS20 
+    - WS20/21
+    - SS21 
+    - WS21/22
+    - SS22 
 ---
 The KWARC group offers guided research projects in Artificial Intelligence either at the Bachelor's level or the Master's level.
 The topics of these projects are individually tailored to the student's interest and the

courses/KRMT.md

 ---
 layout: course
-title: Logik-Basierte Wissensrepräsentation für Mathematisch/Technisches Wissen
+title: Logic-Based Representation of Mathematical/Technical Knowledge
 instructors:
-    - mkohlhase
-    - dmueller
+  - mkohlhase
+  - frabe
 semesters:
     - SS17 
     - SS18 
     - SS19 
     - SS20 
+    - SS21 
+    - SS22 
+    - SS23 
+    - SS25 
 ---
 
-Dieser Kurs behandelt Grundlagen der Mathematik, Modulare Formalisierung in
-Theoriegraphen, Narrative Strukturen in informellen mathematisch/technischen Dokumenten,
-Formalisierung von Logiksprachen in Metalogiken.
+This course covers the foundations of mathematics, modular formalizations in theory graphs,
+narrative structures in informal mathematical/technical documents, and the formalization
+of logical languages in meta-logical frameworks. 
 
-Da wir nur wenige Studenten erwarten, wollen wir diesen Kurs sehr interaktiv und
-Projektorientiert aufbauen. Im wesentlichen werden wir gemeinsam mathematisches Wissen und
-Beschreibungssprachen in [OMDoc/MMT](http://uniformal.github.io) formalisieren.
+This is (tradictionally) a small course, so we can make it very interactive and
+project-like. The contents are split between 
+* lectures, where we discuss the concepts and
+* labs, where we jointly formalize mathematical knowledge and representation languages in
+  [OMDoc/MMT](http://uniformal.github.io).
 
-Materialien:
+Materials:
 
-* [Course Notes, Hausaufgaben](http://kwarc.info/teaching/KRMT)
-* [Tutorial zur Formalisierung](https://gl.mathhub.info/Tutorials/Mathematicians/blob/master/tutorial/mmt-math-tutorial.pdf)
-* [Formalisierungen des letzten Kurses](https://gl.mathhub.info/Teaching/KRMT/tree/master/source)
-
-Diskussionen finden auf dem
-[FSI Forum KRMT](https://fsi.cs.fau.de/forum/150-Logikbasierte-Wissensrepraesentation) statt. Dies ist
-eine wichtige Quelle von Rat und Tat. Wir bemühen uns, auf dem Forum präsent zu sein, und
-schnell auf Fragen zu antworten. Also das Forum abonnieren! 
+* [KRMT on StudOn](https://www.studon.fau.de/crs4499012.html)
+* [Course on zoom](Https://fau.zoom.us/j/65839665250)
+* [Videos on FAU.tv](Https://www.fau.tv/course/id/3065)
+* [Course Notes, Resources](http://kwarc.info/teaching/KRMT)
+* [Formalization Tutorialz](https://gl.mathhub.info/Tutorials/Mathematicians/blob/master/tutorial/mmt-math-tutorial.pdf)
+* [Formalizations of the last years](https://gl.mathhub.info/Teaching/KRMT/tree/master/source)
  

courses/ai1.md

 ---
 layout: course
 
-title: Künstliche Intelligenz I
+title: Artificial Intelligence I
 instructors:
     - mkohlhase
 
@@ -9,9 +9,40 @@ semesters:
     - WS16/17
     - WS17/18
     - WS18/19
-    - WS19/20
+    - WS19/20 
+    - WS20/21 
+    - WS21/22 
+    - WS22/23 
+    - WS23/24
+    - WS24/25 
 ---
 
+This course is the first part of a two-semester introduction into the field of Artificial
+Intelligence (AI). It introduces the foundations of symbolic AI, in particular: 
+
+* Agent Models as foundation of AI
+* Logic Programming in Prolog
+* Heuristic Search as a methdod for problem solving
+* Adversarial Search (automating board games) via heuristic search
+* Constraint Propagation
+* Logical Languages for knowledge representation
+* Inference and automated theorem proving
+* Classical Planning
+* Planning and Acting in the real world. 
+
+The course follows the book
+[Artificial Intelligence: A Modern Approach](https://www.pearson.com/us/higher-education/program/Russell-Artificial-Intelligence-A-Modern-Approach-3rd-Edition/PGM156683.html)
+by Stuart Russell und Peter Norvig. We use the third edition. 
+
+The course materials (e.g. [Course Notes](http://kwarc.info/teaching/AI/notes.pdf) or
+[Assignments](http://kwarc.info/teaching/AI/assignments.pdf), but also old exams and
+(some) solutions) are [here](http://kwarc.info/teaching/AI/). 
+
+The course forum on [StudOn](https://studon.fau.de) is an important source for advice and
+discussions. The instrutor and tutors try to be present to help. 
+
+### German Version (possibly out of date)
+
 Diese Vorlesung ist der erste Teil einer zwei-semestrigen Einführung in die Künstlichen
 Intelligenz (KI). Sie beschäftigt sich mit den Grundlagen der symbolischen KI,
 insbesondere
@@ -35,6 +66,6 @@ Die Kursmaterialien (z.B. [Course Notes](http://kwarc.info/teaching/AI/notes.pdf
 finden sich in [hier](http://kwarc.info/teaching/AI/). 
 
 Diskussionen finden auf dem
-[FSI Forum KI-I](https://fsi.cs.fau.de/forum/144-Kuenstliche-Intelligenz) statt. Dies ist
+[StudOn](https://studon.fau.de) statt. Dies ist
 eine wichtige Quelle von Rat und Tat. Wir bemühen uns, auf dem Forum präsent zu sein, und
 schnell auf Fragen zu antworten. Also das Forum abonnieren! 

courses/ai2.md

 ---
 layout: course
 
-title: Künstliche Intelligenz II
+title: Artificial Intelligence II
 instructors:
     - mkohlhase
 
@@ -10,8 +10,37 @@ semesters:
     - SS18 
     - SS19 
     - SS20 
+    - SS21 
+    - SS22 
+    - SS23 
+    - SS24 
 ---
 
+This course is the second part of a two-semester introduction into the field of Artificial
+Intelligence (AI). It introducers the foundations of inference under uncertainty, machine
+learning and language understanding. The course builds on and continues the course 
+[Artificial Intelligence I](/courses/ai1/) from the winter semester. In particular, the course 
+covers
+
+* Inference under Uncertainty
+* Bayesian Networks
+* Rational Decision Theory (MDPs and POMDPs)
+* Machine Learning and Neural Networks
+* Natural Language Processing
+
+The course follows the book
+[Artificial Intelligence: A Modern Approach](https://www.pearson.com/us/higher-education/program/Russell-Artificial-Intelligence-A-Modern-Approach-3rd-Edition/PGM156683.html)
+by Stuart Russell und Peter Norvig. We use the third edition. 
+
+The course materials (e.g. [Course Notes](http://kwarc.info/teaching/AI/notes.pdf) or
+[Assignments](http://kwarc.info/teaching/AI/assignments.pdf), but also old exams and
+(some) solutions) are [here](http://kwarc.info/teaching/AI/). 
+
+The course forum on [StudOn](https://studon.fau.de) is an important source for advice and
+discussions. The instrutor and tutors try to be present to help. 
+
+### German Version (possibly out of date)
+
 Diese Vorlesung ist der zweite Teil einer zwei-semestrigen Einführung in die Künstlichen
 Intelligenz (KI). Sie beschäftigt sich mit den Grundlagen des Schliessens unter
 Unsicherheit, des maschinellen Lernens und des Sprachverstehens.  Der Kurs baut auf der

courses/aisysproj.md

+---
+layout: course
+
+title: AI 1/2 Systems Project
+instructors:
+    - mkohlhase
+    - jfschaefer
+semesters:
+    - WS21/22 
+    - WS22/23 
+    - WS23/24 
+    - WS24/25 
+    - SS22
+    - SS23
+    - SS24
+    - SS25
+    - SS26
+---
+
+
+##### AI-1 and AI-2 systems project
+The AI systems projects are designed to provide hands-on experience for the topics covered in the AI lectures.
+The AI-1 Systems Project focuses on the symbolic methods discussed in the [AI-1 lecture](https://kwarc.info/courses/ai1/) (search, SAT solving, semantic web, planning, ...)
+and the AI-2 Systems Project focuses on the subsymbolic methods covered by the [AI-2 lecture](https://kwarc.info/courses/ai2/) (Bayesian networks, (hidden) markov problems, machine learning, ...).
+Each AI systems project is worth 10 ECTS.
+Generally, you can pick whichever project sounds more interesting to you/is more relevant for your studies.
+If you need two projects, you can also take both, but you cannot start both at the same time.
+
+**Requirements:** There are no formal requirements, but we strongly recommend
+that you either have taken the AI lecture or will take it in parallel.
+Furthermore, you should have substantial programming experience (the programming language is not important) because you will have to program a lot.
+In particular, the AI systems project is not a programming course, i.e. we expect that you are already proficient.
+
+##### What happens in the project?
+The project will consist of several large problems (≈6), which you will work on individually or in small teams.
+Each problem will require a substantial amount of programming work - after all the project is worth 10 ECTS.
+You can take a look at the [problems from the previous iterations](https://kwarc.info/teaching/AISysProj/) to get a first impression.
+The first problem is a warm-up problem, which you have to solve alone, so that you can judge whether the project works for you.
+The remaining problems are intended to be solved in teams of size 2.
+Furthermore, you will have to write a report on one of the problems and have a small presentation (or rather, a section of a presentation together with other people).
+The details will be discussed in the admin meeting.
+
+
+##### Sign-up
+You can sign up for the AI systems project via [StudOn](https://www.studon.fau.de/crs6243066.html)
+(sign-up is independent of whether you are interested in the AI-1 or AI-2 systems project).
+You will probably be placed on a waiting list (this is normal; demand is high). We first accept people from the waiting list of the previous semester, so the course may already be fuller than indicated.
+However, we will regularly accept new people throughtout the semester,
+whenever students have finished or dropped out.
+The project is designed in a way that you can join at any point, including in the middle of the semester.
+In that case your project would simply continue for a while after the semester ends.
+
+**Important: Make sure to regularly check if you have been admitted (you should also get an email notification).
+If you miss some of the early deadlines, we assume that you are not interested in the project and will remove you to give other students a chance.**
+
+
+##### Timeline
+The project timeline is quite flexible:
+
+* You can request to join the project at any time, and at regular intervals we will admit new people (the capacity is limited, so you might have to wait).
+* Once we have admitted you, we will have an admin meeting, in which we will discuss more details about the project.
+    Check the StudOn forum for information on the time of the next admin meeting.
+    Afterwards, you should follow the onboarding guide (posted on StudOn).
+    You can still drop the project later on.
+* Then you can get started with the warm-up problem.
+    The warm-up problem has to be solved individually and is a requirement to take the project.
+    It is also an opportunity for you to see if the project works for you. You can still decide to drop the project after starting the warm-up problem.
+* Once you have solved the warm-up problem, you can sign up to solve the other ≈5 problems. These are intended to be solved in teams of size two,
+    but currently we also allow teams of size one (that might change at any point though).
+    Each problem is offered once a semester. It's up to you if you want to do all of them in one semester or e.g. spread it over two semesters.
+* You will have to give a presentation on one of the problems. We will use some sort of sign-up process for that as well.
+* You will have to write a report on one of the problems (can be the one you present). Furthermore, we will simulate double-blind peer review,
+    which means that you will have to write 3 anonymous reviews for other students' reports.
+
+**Important:**
+You will have to take initiative to finish the project.
+That means actively following the announcements (e.g. about new problems or available presentation slots), making sure that you sign up for problems and reach out if you need anything.
+Simply joining the StudOn course is not enough.
+**As the number of spaces in the project is limited, we will remove students from the project who do not finish the on-boarding procedure in time or who do not submit a preliminary solution to the warm-up problem on time.**
+If you have been removed, you can join the waiting list again.
+
+
+##### It's different from "Projekt zur Künstlichen Intelligenz"
+You might also find references to "Projekt zur Künstlichen Intelligenz (P KI)".
+Despite the similar names, they are very different:
+The systems project (as described on this page) is organized more like a course, parallel to the AI lecture,
+and every student will work on the same set of problems.
+"P KI", on the other hand, is an individual research project with the kwarc group.
+In the AI Master you need two projects, so you could even take both (then taking the systems project first is probably a good idea).
+
+
+##### Contact
+If you have any questions, feel free to send an email to `"jan frederik schaefer".replace(' ', '.') + "@fau.de"`.
+Note that sending an email will not get you accepted into the project faster.
+You can also join [our public AISysProj matrix room](https://matrix.to/#/#aisysproj-non-members:fau.de).
+Matrix is a communications platform that is supported by FAU. We will use it to communicate during the AI systems project.
+You can find instructions for joining Matrix at FAU [here](https://www.anleitungen.rrze.fau.de/serverdienste/matrix-an-der-fau/erste-schritte/) (only in German, unfortunately).
+

courses/iwgs1.md

@@ -8,6 +8,12 @@ instructors:
 semesters:
     - WS18/19
     - WS19/20
+    - WS20/21
+    - WS21/22
+    - WS22/23 
+    - WS23/24 
+    - WS24/25 
+    - WS25/26 
 ---
 
 Diese Vorlesung ist der erste Teil einer zwei-semestrigen Einführung. 

courses/iwgs2.md

@@ -8,6 +8,11 @@ instructors:
 semesters:
     - SS19
     - SS20
+    - SS21
+    - SS22 
+    - SS23 
+    - SS24 
+    - SS25 
 ---
 
 Diese Vorlesung ist der zweite Teil einer zwei-semestrigen Einführung

courses/lbs.md

@@ -3,11 +3,16 @@ layout: course
 title: Logik-Basierte Sprachverarbeitung (LBS)
 instructors:
     - mkohlhase
-    - dmueller
+    - jfschaefer
 semesters:
-    - WS19/20
-    - WS18/19
     - WS17/18
+    - WS18/19 
+    - WS19/20 
+    - WS20/21 
+    - WS21/22
+    - WS22/23
+    - WS23/24
+    - WS24/25
 ---
 
 Dieser Kurs behandelt Grundlagen der logikbasierten Sprachverarbeitung - Syntax,
@@ -32,6 +37,6 @@ finden sich [hier](https://kwarc.info/teaching/LBS/). Die Resourcen des LBS Labs
 im [LBS Lab Repository](https://gl.mathhub.info/Teaching/LBS) auf [MathHub](http://mathhub.info).
 
 Diskussionen finden auf dem
-[FSI Forum LBS](https://fsi.cs.fau.de/forum/152-Logik-Basierte-Sprachverarbeitung) statt. Dies ist
+StudOn-Forum statt. Dies ist
 eine wichtige Quelle von Rat und Tat. Wir bemühen uns, auf dem Forum präsent zu sein, und
 schnell auf Fragen zu antworten. Also das Forum abonnieren! 

courses/mathdata.md

+---
+layout: course
+
+title: Seminar for mathematical data
+instructors:
+semesters:
+    - SS20
+---
+
+This seminar grew out of the planned April 2020 [bilateral](https://kwarc.info/projects/mdh/)
+workshop on mathematical data from Ljubljana to an online setting.
+
+The main goal is to build and interconnect the community of people
+interested in data generated within mathematical research as well as data related 
+to mathematics in other ways.
+
+The seminar will aim for a relaxed atmosphere and shorter talks, with plenty of 
+time for discussion.
+
+- Time: Fridays, 14:00-15:30 (12:00-13:30 UTC)
+- Zoom ID of the seminar will be posted with each announcement.
+
+Announcements will be posted on the [KWARC mathematical data mailing list](http://lists.informatik.uni-erlangen.de/mailman/listinfo/math-data).
+
+### Upcoming seminars:
+
+#### ICMS discussion
+
+- *Time*: Friday, July 24, 2020 from 14:00 to 15:30 (Central European Summer Time, UTC+2)
+- *Location*: online at Zoom, ID 933 8933 3092
+- *Speaker*: roundtable
+
+**Abstract.** We will discuss talks and discussions from the International Congress on Mathematical Software,
+especially the two sessions related to data in mathematics.
+
+
+### Past seminars:
+
+##### The Knowledge of Mathematics
+
+- *Time*: Friday, July 3, 2020 from 14:00 to 15:30 (Central European Summer Time, UTC+2)
+- *Location*: online at Zoom ID: 960 8031 7108
+- *Speaker*: Patrick Ion (Mathematical Reviews (retd.), University of Michigan, Ann Arbor, MI)
+
+**Abstract.** Mathematics is a body of knowledge, and it has many representations.  A
+library is traditionally a repository of materials that provide access to knowledge.
+The idea of a universal library, or of one just for mathematics, has long been an
+obvious one.  In the modern day (last century or so) it has come up again from
+time to time with each new technological change and notion of representing
+mathematics.  Working forward from a resolution of the International Mathematical
+Union in 2006 efforts have been under taken to realize a Global Digital Mathematics Library. As part of this an International Mathematical Knowledge Trust has been
+founded. I will speak of grand plans, small successes and enormous challenges
+that remain in describing some of recent GDML/IMKT activity. This will be from
+the point of view I've acquired as a result of watching the field from
+Math Reviews (MR) for 30 years or so, being involved with TeX and databases
+at MR and with creation of MathML, as well as trying to understand a little bit
+of specific subjects (quantum field theory and statistical mechanics, hyperfunctions,
+non-commutative geometry, quantum stochastic processes---i.e., anti-Gauss: "multa sed immatura")
+
+##### The Role of Data in Discrete Mathematics
+
+- *Time*: Friday, June 19, 2020 from 14:00 to 15:30 (Central European Summer Time, UTC+2)
+- *Location*: online at Zoom ID: 973 9039 7028
+- *Speaker*: Gabe Cunningham (University of Massachusetts Boston)
+
+**Abstract.** In mathematics, a well-chosen example can help guide our intuition or 
+illustrate the edge-cases of our definitions. 
+When studying discrete objects, we can go for quantity over quality and generate 
+all examples of objects satisfying certain properties and up to a certain size. 
+How can we actually use this data for doing mathematics? 
+What are the barriers that prevent us from making better use of data? 
+In this talk, I will describe the role that data has played in my own research. 
+I will highlight the data repositories that currently exist in my community, 
+and I will discuss why I think better tools are needed and why they wouldn't ever be made without MathDataHub. 
+Finally, I will talk briefly about some work in progress with Katja Berčič and Jukka Kohonen 
+toward developing some new data sets and a Sage package to help my research community.
+
+##### Big Math and the One-Brain Barrier -- The Tetrapod Model of Mathematical Knowledge
+
+- *Time*: Friday, June 5, 2020 from 14:00 to 15:30 (Central European Summer Time, UTC+2)
+- *Location*: online at Zoom ID: 939 0067 6059
+- *Speaker*: Michael Kohlhase (FAU)
+
+**Abstract.** In this talk I will  present an information model for doing mathematics, 
+which posits that humans very efficiently integrate five aspects of mathematics: 
+inference, computation, concretization, narration, and organization. 
+The challenge for mathematical software systems is to integrate these five aspects in the same way humans do.
+
+The Tetrapod model has cristallized out of almost two decades of work on 
+mathematical knowledge representation and permeates the work of the KWARC group. 
+The model is relevant to the MathDataHub effort as it will guide the further development 
+of the MathHub system (MathDataHub is seen as the concretization facet of MathHub).
+
+##### MathDataHub - your dataset, but FAIR
+
+- *Time*: Friday, May 22, 2020 from 14:00 to 15:30 (Central European Summer Time, UTC+2)
+- *Location*: online at Zoom ID: 998 0468 1137
+- *Speaker*: Tom Wiesing (FAU)
+- [Slides](https://kwarc.info/people/twiesing/pubs/slides/2020_05_22_mdh.pdf)
+
+**Abstract.** MathDataHub provides dataset hosting and a searchable interface for the hosted dataset. 
+It was developed by Katja Berčič, Michael Kohlhase, Florian Rabe, and Tom Wiesing. 
+In this talk I will give a basic introduction and overview of the system.
+
+##### An overview of mathematical data (Welcome to the seminar)
+
+- *Time*: Friday, May 8, 2020 from 14:00 to 15:30 (Central European Summer Time, UTC+2)
+- *Location*: online at Zoom ID: 995-5145-1656
+- *Speaker*: Katja Berčič (FAU)
+
+**Abstract.** I will present some of the topics that are relevant for data in 
+mathematics: the state of the art, technical and theoretical issues that arise,
+as well as broader trends in scientific research data. 
+

courses/meta/index.html

@@ -5,6 +5,8 @@ permalink: /courses/
 ---
 
 {% assign courses = site.pages | where: "layout", "course" | sort: "title" %}
+The courses given by the KWARC group in the current semester: {{site.semesters.current}}
+
 
 <ul class="collection">
     {% for item in courses %}