CFP Réseaux & Histoire, Aix-en-Provence, 21-22 octobre 2020

Via Res-Hist and HNR: the call for papers for the next Res-Hist event.

Cfp: La sixième rencontre du groupe Res-Hist (Réseaux & Histoire) “Réseaux bipartis en histoire” + training at Aix-en-Provence, 21-22 octobre 2020

Workshop

Créé en 2013, le groupe Res-Hist est un collectif destiné à favoriser les échanges scientifiques autour des réseaux en histoire. Il organise des rencontres qui réunissent, autour d’une thématique donnée, les chercheur·se·s qui mettent en œuvre des analyses de réseaux dans leurs travaux, quels que soient les périodes étudiées, les objets d’analyse, l’état d’avancement des travaux ou le niveau d’études. Ces rencontres ont permis à des spécialistes venus de différents horizons de se rencontrer et d’échanger, à la fois en termes épistémologiques, méthodologiques et techniques.

Dans le sillage des précédentes rencontres qui se sont tenues à Nice (en 2013 puis en 2016), Toulouse (2014), Paris (2015) et Rennes (2019), nous organisons la sixième rencontre du groupe Res-Hist les 21 et 22 octobre 2020 à l’Université Aix-Marseille, en partenariat avec le projet ERC ENP-China. Notre initiative est également soutenue par le GDR Analyse de réseaux en Sciences humaines et sociales. Nous proposons que les contributeurs et contributrices de ces journées discutent de la thématique suivante : « Réseaux bipartis en histoire ».

Les travaux qui mettent en œuvre l’analyse de réseau sur des sources et des objets historiques ont longtemps porté, et portent encore dans leur grande majorité, sur des réseaux dits unipartis ou unimodaux, c’est-à-dire que les liens ne concernent qu’un seul type d’acteur (souvent, seulement des personnes physiques). Or les sources font apparaître des liens entre une grande variété d’entités (individus, organisations, lieux, événements, objets matériels ou culturels, etc.) qu’il est souvent intéressant d’étudier pour elles-mêmes, sans immédiatement essayer de les transformer en un réseau uniparti. Si les réseaux bipartis sont restés en retrait dans les travaux publiés jusqu’ici, c’est d’abord parce qu’ils apparaissent plus difficiles à étudier ; en effet, les principales techniques d’analyse et les algorithmes de visualisation ont été développés pour des réseaux unipartis.

Néanmoins, depuis une vingtaine d’années, les études empiriques donnant lieu à des réseaux bipartis se sont multipliées sur des sujets très variés, comme la présence de dirigeants à des conseils d’administration (corporate interlocks), les rôles d’acteurs dans des films, la participation de scientifiques à des colloques ou la co-publication dans des revues. En parallèle, les méthodes permettant d’analyser directement les réseaux bimodaux ont connu des progrès significatifs. Ce renouvellement appelle un effort de clarification et une réflexion critique autour de ces méthodes et de leur pertinence même pour l’analyse historique. C’est précisément le but de cette sixième rencontre que de faire dialoguer des chercheur·se·s qui mobilisent, dans des perspectives variées, les réseaux bimodaux.

Dans cette optique, nous invitons à proposer des contributions qui étudient des réseaux bipartis en s’interrogeant sur les enjeux méthodologiques qu’ils soulèvent – qu’ils concernent l’extraction de l’information dans les sources, la structuration des données, ou les techniques d’analyse et de visualisation (relevant de l’analyse de réseau ou d’autres méthodes).

Selon la formule consacrée lors des précédentes journées Res-Hist, les intervenant.e.s fourniront un texte (déjà publié ou non) qui sera mis en ligne à l’avance et présenteront leurs propos oralement en 20 minutes maximum, qui seront suivies par 30 minutes de débat et d’échange avec la salle. Des présentations par des invité.e.s et des ateliers de formation à l’analyse de réseaux et à ses logiciels seront également proposés avant les rencontres.

Les propositions de communication, d’une longueur d’une page (500 à 1000 mots env.) et accompagnées des nom, statut, affiliation et adresse mail, devront être adressées avant le 15 mai 2020 par courriel à Cécile Armand (cecile.armand@gmail.com) et à Christian Henriot (christian.r.henriot@gmail.com). Elles devront présenter brièvement le contexte de la recherche, les sources et les données utilisées, la méthode proposée et les résultats attendus.

Le résultat de la sélection sera communiqué à la fin du mois de juin 2020, après examen par le conseil scientifique. Les textes présentés seront fournis avant le 15 septembre 2020.

Pour les intervenant.e.s l’organisation prendra en charge une à deux nuitées et les repas au cours de la rencontre. Les frais de transport sont à la charge des intervenant.e.s ou de leur laboratoire.
Cette initiative est possible grâce au soutien de l’ERC ENP-China (AMU), de l’Irasia (AMU), du laboratoire TELEMME (AMU), d’AMU (ALLSH) et du GDR CNRS Analyse de réseaux en SHS.

Dates à retenir :

  • 15 mai 2020 : envoi des propositions
  • Fin juin 2020 : résultats
  • 15 septembre : envoi des articles finalisés pour mise en ligne
  • 21-22 octobre : 6e rencontres Res-Hist à Aix-Marseille Université

Les rencontres Res-Hist se dérouleront du 21 octobre (après-midi) au 22 octobre (soir). Elles seront précédées de deux journées d’initiation à l’analyse de réseaux les 19-21 octobre 2020 à Aix-en-Provence (voir les détails ci-dessous et l’appel ci-joint).

Comité scientifique

Laurent Beauguitte (CNRS-GDR Analyse de réseaux en SHS)
Pierre-Yves Beaurepaire (Université Côte d’Azur, CMMC)
Francesco Beretta (CNRS, LARHRA)
Claire Bidart (CNRS, LEST)
Pierre Gervais (Université Paris 3, CREW)
Claire Lemercier (CNRS-Sciences Po Paris)
Sylvia Marzagalli (Université Côte d’Azur, CMMC)

Comité d’organisation

Cécile Armand, Université Aix-Marseille (IrAsia)
Xavier Daumalin, Université Aix-Marseille (TELEMME)
Julien Dubouloz, Université Aix-Marseille (Centre Camille Julian)
Christian Henriot, Université Aix-Marseille (IrAsia)

Initiation (gratuite) à l’analyse de réseaux (19-21 octobre)

Cette formation est proposée par le groupement de recherche Analyse de réseaux en SHS, en collaboration avec le groupe Réseaux et Histoire. Elle se déroulera sur deux jours : elle débutera le 19 octobre après-midi et se terminera le 21 octobre à midi.

Cette formation s’adresse à toute personne engagée dans une démarche de recherche en SHS et souhaitant s’initier à l’analyse de réseaux (doctorant.e.s, IE, IR, MCF, etc.). Aucun prérequis n’est attendu.

La formation est gratuite ; le transport, l’hébergement et les repas des participant.e.s ne sont pas pris en charge. Le nombre de participant.e.s est limité à 20.

  • Date limite d’envoi des candidatures (2 pages comprenant un cv court et une lettre de motivation) : 31 mai 2020.
  • Date d’envoi des réponses aux candidat.e.s : 30 juin 2020

 

Training

En lien avec les sixièmes rencontres Res-Hist qui se tiendront à Aix-en-Provence les 21-22 octobre 2020, le groupement de recherche Analyse de réseaux en SHS, en collaboration avec le groupe Réseaux et Histoire, organise deux journées de formation à Aix-en-Provence les 19-21 octobre 2020. Cette formation débutera le 19 octobre après-midi et se terminera le 21 octobre à midi.Elle s’adresse à toute personne engagée dans une démarche de recherche en SHS et souhaitant s’initier à l’analyse de réseaux (doctorant.e.s, IE, IR, MCF, etc.). Aucun prérequis n’est attendu.La formation est gratuite ; le transport, l’hébergement et les repas des participant.e.s ne sont pas pris en charge. Le nombre de participant.e.s est limité à 20.Date limite d’envoi des candidatures (2 pages comprenant un cv court et une lettre de motivation) : 31 mai 2020.Date d’envoi des réponses aux candidat.e.s : 30 juin 2020

Submit your abstracts now for The Connected Past

We are delighted to announce the next Connected Past conference (networks and complexity in archaeology and history), which will take place in Aarhus Denmark on 24-25 September. The call for papers is open now until 15 March.
CALL FOR PAPERS
The Connected Past 2020: Artefactual Intelligence
September 24-25, Aarhus University
Abstracts (max. 250 words) should be sent to connectedpast2020@gmail.com
Deadline: March, 15th 2020*
Please include your name, affiliation, and your choice of session format (20 minute thematic presentation or 10 minute work-in-progress presentation)
*The scientific committee will seek to communicate its decision before mid-April 2020
Our keynote speakers are Marcia-Anne Dobres on agency in archaeology and Juan Barceló on Artificial Intelligence in archaeology.
Computational models used by archaeologists are becoming increasingly complex. We create and tackle ever larger datasets, include more parameters and make machines learn by themselves. Recent approaches to network theory in archaeology, and the historical sciences more generally, have embraced agents, agency and practice theory. But where does this leave objects? Since the earliest days of the discipline, objects have been at the core of the archaeologist’s enquiry. However, until recently, objects were left heavily undertheorised. With the advance of object-related theories, such as ANT or the New Materialism approaches, agency is extended not just to humans but to the objects and materials they handle as well. Does this mean that digital archaeologists and historians are to move from Artificial Intelligence to Artifactual Intelligence? And if so, how?
Being a community of scholars interested in recent theoretical and methodological innovations in archaeology and the historical sciences, the Connected Past Conference provides a forum for presenting and discussing ongoing work on the intersection between archaeology,  history, digital approaches and theory. The conference will be preceded by a two-day practical workshop (limited capacity, open call for participants to follow soon).
This year’s conference focuses specifically on the topic of artefacts, human and material agency, artificial and artefactual intelligence and their place within archaeological and historical network studies. In addition, we also welcome presentations on any topic related to archaeological or historical network research and complexity science.
We invite abstracts for 20-minute presentations on these and related topics for consideration to the scientific committee. In addition, there will be a session on general topics related to network science in archaeology and the historical sciences. We equally welcome abstracts for 10-minute presentations on work-in-progress.
Conference organisers:
Lieve Donnellan
Rubina Raja
Søren Sindbæk
Tom Brughmans
Get in touch!
Twitter: #TCPAarhus

5 postdocs and 3 PhD position in Cultural Data Analytics, Tallinn

A great opportunity at Tallinn University, to work on Cultural Data Analytics with Max Schich: the Humanities Network Science guru! I can very much recommend applying for the below posts.

http://cudan.tlu.ee/positions/ 

Five postdoctoral or senior Research Fellow positions in Cultural Data Analytics are currently open for application (deadline March 16, 2020).

Three fully funded PhD student positions in Cultural Data Analytics will be announced shortly (applications open from March to June, 2020).

Five Research Fellow Positions in Cultural Data Analytics

Tallinn University has announced an open competition for five positions of Research Fellow in Cultural Data Analytics in H2020 funded ERA Chair project CUDAN to commence as follows:

2 positions in Baltic Film, Media, Arts and Communication School;
2 positions in the School of Humanities
1 position in the School of Digital Technologies

Start of the employment contract is negotiable: between 15.06.2020- 01.09.2020. The duration of the contract is up to 3,5 years.

Funded through the European Commission, the designated CUDAN ERA Chair holder, Professor Maximilian Schich, together with the CUDAN project team, the Baltic Film, Media, Arts and Communication School, the School of Humanities, and the School of Digital Technologies at Tallinn University, is looking for research fellows in the area of Cultural Data Analytics to deepen our understanding of the nature of cultural interaction, cultural dynamics, and cultural evolution, doing research while nurturing multidisciplinary cross-fertilization. Through this recruiting, the CUDAN project will bring together a group of at least 5 research fellows and 5 PhD students to harness the rare high-risk/high-gain opportunity of combining multidisciplinary science, computation, information design, with art and cultural history, cultural media studies, and cultural semiotics, in close collaboration and co-authorship. The newly established research group will form the core of the CUDAN Open Lab, which, in addition to research, aims to function as a forum for intellectual exchange, and as an incubator for follow-up projects. Ideally, the research fellows contribute aspects of network science, complexity science, science of science, computational social science, machine learning/AI, information science, data science, data visualization, user experience design, and/or digital humanities to the locally existing expertise in art and cultural history, cultural media studies, cultural semiotics, and digital technology. Beyond the local environment, the CUDAN initiative will also provide the research fellows and PhD students with the opportunity to work closely with high-profile external partners in multidisciplinary science, cultural heritage institutions, and stakeholders in the cultural industries in Estonia, in Europe, and around the globe.

We are particularly interested to work on the following research challenges:

– Using machine learning to analyze images and/or audio-visual material over historical time scales, to reveal patterns and biases in large data collections through a kind of “artificial neural science”.
– Using linguistic topic modeling and/or bi-partite network science to analyze the structure and evolution of large corpora of texts and/or classifications, feeding into a “paleontology of memes”.
– Using temporal multilayer network analysis and/or topological data analysis to make sense of large cultural knowledge graphs, through capturing fundamental emerging patterns of “network multiplicity”.
– Combining the analysis of multimedia, unstructured, and structured data in a so-called embed-everything-approach that could result in a kind of “multidimensional fluid-dynamics of meaning”.

In addition, we aim to nurture the Cultural Analytics community through addressing the following challenges:

– Mapping and characterizing the achievements, opportunities, and limits of Cultural Data Analytics, ideally resulting in actionable maps of the relevant “multidisciplinary ski area”.
– Enabling and optimizing the CUDAN Open Lab experience through a conscious effort of user experience design, observing and designing workflows, events, and other forms of intentional “academic mixing”.

Candidates that are motivated and have the capacity to spearhead one of these aspects are strongly encouraged to apply!

Requirements for the candidate (incl professional experience):
Candidates for the research fellow position shall meet the requirements of career level II of research fellow (Annex 5, 9 and 10 of TLU’s Employment Relations Rules). The ideal candidate has a PhD in a field closely related to Cultural Data Analytics, with expertise in quantification, computation, and/or visualization, ideally including previous working experience with large-scale socio-cultural data. The individual focus could be in machine learning/AI, network science, topological data analysis, complexity science, science of science, computational social science, information science, data visualization, user experience design, and/or digital humanities. Candidates with a PhD in a seemingly unrelated field whose methods could nevertheless be valuable to the CUDAN project will be considered: Examples include experts in socio-physics, computer vision, species niche modeling, time-series analysis, or matrix clustering as found in systems biology and neuroscience. The working language of the CUDAN research group is English.

Job responsibilities:
– Performing research in co-authorship with CUDAN research group members and external partners under the supervision of the CUDAN ERA Chair holder, with typical activities including research design, data acquisition, data preparation, data analysis, visualization, and the composition of figures and manuscripts.
– Publishing and assessing research results, ideally aiming for high-profile multidisciplinary journals and conferences.
– Participation in CUDAN Open Lab activities, including discussions with students, faculty, and external stakeholders, mutually building and sharing expertise, developing novel research ideas, and supporting the application for additional funding.
– Co-supervising and teaching CUDAN students.
– Openness and readiness to engage in multidisciplinary translation, within a diverse and international research group.

Load: 1,0 The duties are approximately divided in (1) research (90%), (2) teaching (5%) and (3) internal and external service (5%).
Salary: to be agreed, but internationally competitive.
Location: Tallinn, Estonia.
Language skills: English C1, Estonian is not required; if staying longer in Estonia, the candidate would need to acquire Estonian as a working language within 3 years in order to be able to participate in administrative tasks.

Required application documents
The candidates are expected to submit the required applications documents (preferably in PDF-format) by the March 16th 2020 to Personnel Office of Tallinn University (Narva mnt 25, room T-218, 10120, Tallinn, or digitally signed to konkurss@tlu.ee) with the title “Academic competition”:

– a signed application-motivation letter addressed to the Rector, which contains an overview of the candidate’s objectives in carrying out study and research and development or creative activities;
– a curriculum vitae, which shall include, among others, an overview of the candidate’s teaching, research and development or other creative activity, and social and institutional activity;
copies of a document certifying the qualification required from the position, and its annexes. The University shall have the right to request that the candidate submit the original or certified copies of the document certifying the qualification and its annexes. If higher education has been obtained abroad, the University shall have the right to request that the candidate submit the evaluation of the Estonian ENIC/NARIC concerning the conformity of the candidate’s qualification with the requirements established for the position;
a brief statement of research experience and interests;
a list of research publications, separately highlighting research papers published in internationally distributed publications peer reviewed by an editorial board;
a link to or, if that is impossible, a file with the full text of one representative research publication;
two letters of recommendation sent separately by the writers to konkurss@tlu.ee, with the title “CUDAN”;
– documents and materials to certify other knowledge and skills, if the candidate considers these important.

Further information including the selection procedure and time schedule, and further relevant links see here.

Job: funded PhD digital classics Lausanne

The below job will be of interest to readers of this blog.

Via Matteo Romanello:

The DHLAB at EPFL in association with the Institut d’archéologie et des sciences de l’antiquité of the University of Lausanne invites applications for one full-time, fully-funded PhD position within the EPFL PhD program in Digital Humanities, working at the intersection between Computer Science and Classics. 
The successful candidate will develop their own research project around the following topics: semantic information extraction by combining text-based and image-based methods; alignment and document analysis of scholarly publications (19c – 21c) characterised by complex layouts and rich visual grammars; and the development of a representation model for texts with a complex textual tradition. 
The PhD thesis will be part of the research project “How does a classical hero die in the digital age? Using Sophocles’ Ajax to create a commentary on commentaries”, funded by the Swiss National Science Foundation (SNSF) and led by Matteo Romanello (University of Lausanne).
Profile:
  • Applicants should hold a master’s degree in Computer Science or Digital Humanities.
  • Experience with natural language processing/information extraction (including machine learning approaches to it) is mandatory. Some familiarity with textual criticism is desirable. PhD candidates will further develop their analytical and methodological skills by attending the EDDH doctoral school.
  • Fluent English; French and/or Ancient Greek/Latin is an asset. The dissertation can be written in English or French.
  • Interest in working in a collaborative, interdisciplinary and international environment.
  • Candidates of all nationalities are invited to apply; applications from women are especially welcome.
What we offer:
  • workplace: EPFL/UNIL campus
Starting date: 1st October 2020
Duration: 4 years
Supervisors: Matteo Romanello (UNIL) and Frederic Kaplan (EPFL)
Terms of employment: Fixed-term at 100% work rate. EPFL offers internationally competitive salaries and generous research support.
Deadline for applications: April 30, 2020
Contact: For questions and/or expressions of interest, contact Matteo Romanello matteo.romanello@epfl.ch
How to apply: via EPFL doctoral school online application (please note that only completed applications will be reviewed). For further information about applying for a PhD at EPFL see PhD admission criteria & application.

LAC session Unravelling entangled pathways

This session at the Landscape Archaeology Conference (2-5 June in Madrid) sounds great and will be of interest to readers of this blog.

Deadline 14 February!

Via Laure Nuninger:

We are pleased to invite you to participate in the session: #027 Unravelling entangled pathways. Debating new approaches to study the interaction of past movement and settlement systems, which will be held at the LAC2020 conference in Madrid (ES), 2-5 June 2020. 
How does it work? 
This is an open session with a slightly different format. The session will be introduced by a keynote contribution. This keynote contribution will be pre-circulated to the presenters a month before the conference in order to share the concepts and approaches that we intend to discuss. The contributors to the session are expected to reflect upon this in their own presentations, in order to support a shared and open discussion at the end of the session. 
How to participate 
Please send us an e-mail, and submit your contribution electronically via the online submission system (LAC) by the given deadline of February 14th, 2020.
Please feel free to ask any other questions you might have!
Best regards
The organisers: Laure Nuninger,  Rachel Opitz, César Parcero-Oubiña, Thibault Saintenoy, and Philip Verhagen
#027 Unravelling entangled pathways

Understanding the motivations and travel patterns of past societies allows for a better analysis of land use dynamics because movement underlies the organization of a wide variety of landscape features. Movement left physical or intangible (memory, stories) traces that are difficult to recover because they are intertwined and create a complex archaeological picture over long periods of activity. Movement in archaeology is studied through diverse approaches (observational field work, remote sensing detection, network analysis, spatial analysis and modelling, agent-based modelling and simulation…). The ontological interoperability of the data created through these approaches is uncertain. The challenges of making these data compatible is particularly salient, given that much of the data involved is digital, in the context of the FAIR data principles. Consequently new paradigms to reconstruct the logical assemblage that constitutes systems of movement are needed.

This session provides a forum to discuss the theoretical and methodological implications of analyzing past movement, in particular within the context of settlement system studies. How do we conceive the relationship between space and movement ? How do we elaborate datasets to study movement within the landscape ? How do we use and structure various datasets in our analyses of movement flows and their relationship with the landscape and settlements? How do we conceive, as archaeologists, the idea of pathways entanglement, related to their accumulation over time?

To approach these issues it is necessary to clarify:

  • The landscape archaeological frameworks we use to create data about or to conceive past movement.
  • The way we are interpreting empirical evidence of movement about the landscape which has to be presented in detail: how do we treat built roads ? trails ? stairs ? or other path features ? how do we recognize them as pathways ?
  • Our analytical approaches to the study and interpretation of past movement: what kind of data and knowledge do we use to study a movement flow, a network or a meshwork? How might computational modelling as a emulation/simulation of movement help to disentangle and complete the empirical data picture?
  • Our idea of validation of models of movement from theoretical and computational points of view, and in relationship to the settlement system.

This session aims to consider these questions within the framework of the FAIR data principles, building towards the goal of creating inter-compatible ontologies for past movement studies. This session further aims to bring together diverse perspectives to discuss and compare the paradigms, data, and analyses applied in different contexts. We therefore invite papers based on case studies from any region. We particularly encourage case studies presented within the framework of a transcultural approach, including comparisons across multiple regions.  Papers can present advanced ontological approaches or more generally address their own reflections and experiences related to the themes of this session.

Session Keywords: pathways; movement; meshwork; network; settlement system

Job: postdoc ABM Ancient Egypt

The following job might be of interest to readers of this blog:

http://www.nitschke-lab.uct.ac.za/nitschke/positions

Postdoctoral Position : Agent-Based Modeling of Social Complexity in Ancient Egypt

An interdisciplinary (social science, computational archaeology, and machine learning) two (2) year postdoctoral research fellowship for agent-based modeling and simulation is currently available at the Department of Computer Science, University of Cape Town.

The postdoctoral fellow will work on an interdisciplinary agent-based modeling (ABM) and simulation project that investigates the emergence of social complexity in early Egypt. The project proposes to develop the ABM as an experimental computational platform for studying and analyzing complex system behaviour, in this case, the evolution of societal complexity. The ABM will be used to design experiments that examine the social dynamics of early Egypt, including the emergence of entrenched inequality, urbanism, social hierarchy, networks, and ideology of kingship. The goal is to explore how the Egyptian state emerged as a
result of the meaningful actions of individuals pursuing their own interests within the particular environmental conditions of the Nile
Valley in the fourth millennium BC, as well as compare this system to similar case studies in social complexity in Africa more broadly.

As part of the process of developing the ABM, the fellow will be expected to conduct research on the modeling of emergent complexity in agent-based models of ancient societies, including the application of evolutionary machine learning to simulate adaptive behaviour. Ideally the ABM design principles will take inspiration from the relevant social complexity literature and prevailing theories of emergent complexity.  However, the exact focus of the project will be jointly decided by the postdoctoral fellow and supervisors.

The candidate will have the opportunity to collaborate with the interdisciplinary network of researchers at the Evolutionary Machine
Learning Group, University of Cape Town, the Department of Ancient Studies, Stellenbosch University, and the Department of Archaeology, University of Cape Town. In addition to research, candidate is expected to co-supervise graduate students within this network of researchers.
Requirements:

  • PhD (or nearly completed) degree in computational archaeology, computer science, or a closely related field.
  • Good programming skills (Java, Python, Net Logo or other agent-based modeling languages).
  • Excellent communication skills, in both spoken and written English, and the ability to work independently.
  • Expertise in agent-based modeling and simulation.
  • Some expertise in evolutionary machine learning would be advantageous.
  • Candidates with a background in computational archaeology who are willing to acquire machine learning expertise during the postdoc, are encouraged to apply.

Deadlines and More Information:

Starting date is flexible: From February 1, 2020.

Applications will be evaluated on a first-come-first-serve basis, and will continue to be received and reviewed from December 1, 2019 until the position is filled.

The Connected Past 2020 in Aarhus

Delighted to announce the next instalment of The Connected Past, this time in Aarhus Denmark. The call for papers deadline is 15 March, submit your abstracts to connectedpast2020@gmail.com

Conference website

#TCPAarhus

September 24-25, Aarhus University

Artefactual Intelligence

Preceded by a two-day workshop 22-23 September (more information to follow).

Call for Papers now open (deadline 15 March)

Abstracts (max. 250 words) should be sent to connectedpast2020@gmail.com

Before March, 15th 2020*

Please include your name, affiliation, and your choice of session format (20 minute thematic presentation or 10 minute work-in-progress presentation)

*The scientific committee will seek to communicate its decision before mid-April 2020

Our keynote speakers are Marcia-Anne Dobres on agency in archaeology and Juan Barceló on Artificial Intelligence in archaeology.

Computational models used by archaeologists are becoming increasingly complex. We create and tackle ever larger datasets, include more parameters and make machines learn by themselves. Recent approaches to network theory in archaeology, and the historical sciences more generally, have embraced agents, agency and practice theory. But where does this leave objects? Since the earliest days of the discipline, objects have been at the core of the archaeologist’s enquiry. However, until recently, objects were left heavily undertheorised. With the advance of object-related theories, such as ANT or the New Materialism approaches, agency is extended not just to humans but to the objects and materials they handle as well. Does this mean that digital archaeologists and historians are to move from Artificial Intelligence to Artifactual Intelligence? And if so, how?

Being a community of scholars interested in recent theoretical and methodological innovations in archaeology and the historical sciences, the Connected Past Conference provides a forum for presenting and discussing ongoing work on the intersection between archaeology,  history, digital approaches and theory. The conference will be preceded by a two-day practical workshop (limited capacity, open call for participants to follow soon).

This year’s conference focuses specifically on the topic of artefacts, human and material agency, artificial and artefactual intelligence and their place within archaeological and historical network studies. In addition, we also welcome presentations on any topic related to archaeological or historical network research and complexity science.

We invite abstracts for 20-minute presentations on these and related topics for consideration to the scientific committee. In addition, there will be a session on general topics related to network science in archaeology and the historical sciences. We equally welcome abstracts for 10-minute presentations on work-in-progress.

Conference organisers:

Lieve Donnellan
Rubina Raja
Søren Sindbæk
Tom Brughmans

Get in touch! connectedpast2020@gmail.com

Mediterranean summer school complex networks

This summer school will be of interest to readers of this blog.

We are calling for applications from students and young researchers in Network Science for the 7th edition of the Mediterranean School of Complex Networks, which will take place in Salina (Italy), 5-12 Sep 2020.

Early applications are expected before 31 March 2020 (no payment required at this step). Seats are limited to 50 attendants.

Since its first edition in 2014, our School trained more than 230 early-career researchers in Network Science from 4 continents. All details about previous editions, location, important dates and travel are available at the official website: http://mediterraneanschoolcomplex.net/
You might also want to watch the School teaser: https://www.youtube.com/watch?v=zN9Pmi5GOsg

Please, note that for the youngest researchers (no more than two years from their PhD completion) who are members of the Complex Systems Society, we will grant up to two scholarships covering the registration fee.

We kindly ask you to circulate this call among your peers, students and other potentially interested applicants.

Best wishes,
Manlio De Domenico & Alex Arenas
MSCX Directors

Jobs: 6 postdocs Social Network Analysis

Readers of this blog might be interested in these jobs (Via Humanist).

Deadline for applications 19/02/2020.

We are currently recruiting 6 Post-doctoral Research Fellows with
expertise in social research methods to work within the Trento Center
for Social Research Methods.

Computational/digital sociology and social network analysis
Two post-doctoral research fellows for researchers with experience in
computational/digital sociology and social network analysis. This
includes, among others:
·       computational methods for “statistical learning”, using R or Python,
·       design and analysis of experiments, including field and online
experiments and use of digital devices (e.g. smartphones, wearables),
·       advanced social network analysis and recent developments in
ERGM, SAOM/SIENA, multilevel and multimodal networks, large-scale networks,
·       The quantitative analysis of texts through text mining and the
use of techniques such as LDA (Latent Dirichlet Allocation), CTM
(correlated topic model) and LSA (latent semantic analysis)
·       the simulation of social phenomena with agent-based modelling (ABM).

For more details, please
see: https://www.unitn.it/ateneo/bando/61292/dipartimento-di-sociologia-e-
ricerca-sociale-avviso-di-selezione-per-il-conferimento-di-n-2-assegni

The application deadline is: 19/02/2020, 12:00 (noon), CET.

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