Two networks sessions at CAA2020 in Oxford: submit your abstracts!

Can’t wait for CAA 2020 in Oxford! It will be a great event in a great place of course, but also because we will host two network sessions. So if you work on anything even remotely related to archaeology and networks, you will find a good place to present it at one of our sessions. Submit your abstracts!

S32. Archaeological network research 1: spatial and temporal networks

S33. Archaeological network research 2: missing data, cross-disciplinary collaboration and teaching networks

Submit abstracts here

Deadline: 31 October 2019

When? 14–17 April 2020

Where? Oxford

Session abstracts:

S32.  Archaeological network research 1: spatial and temporal networks (Standard)

Convenors:

Philip Verhagen, Vrije Universiteit Amsterdam, Department of Humanities
Tom Brughmans, University of Barcelona
Aline Deicke, Digital Academy, Academy of Sciences and Literature | Mainz
Natasa Djurdjevac Conrad, Zuse Institute Berlin
Grégoire van Havre, Universidade Federal do Piauí
Philip Riris, University College London

Explicitly including spatial or temporal information in network research is something that has come naturally to archaeologists. Our discipline has a long tradition of spatial analysis and of exploring long-term change in datasets and past phenomena. These are two areas where archaeologists did not look towards mathematicians, physicists and sociologists for inspiration, but rather developed original network methods based on a purely archaeological tradition. As such, they are some of the most promising research topics through which archaeologists can make unique contributions to network science.

But recognition of these contributions has still to materialise due to a number of challenges. How can we ensure these archaeology-inspired approaches become known, explored and applied in other disciplines? How precisely do these spatial and temporal archaeological approaches differ from existing network methods? What existing spatial and temporal approaches in archaeology show equal potential for inspiring new network research?

The spatial phenomena archaeologists address in their network research are rather narrow and can be grouped into three broad categories: movement-, visibility-, and interaction-related phenomena. The aim of network techniques in space syntax focus on exploring movement through urban space, whereas least-cost path networks tend to be used on landscape scales. Neither of these approaches have equivalents in network science (Verhagen et al. 2019). Archaeology has a strong tradition in visibility studies and is also pioneering its more diverse use in network research (Brughmans and Brandes 2017). Most visibility network analyses tend to explore theorised visual signalling networks or visual control over cultural and natural features. Most network methods used for exploring interaction potential between past communities or other cultural features belong to either absolute or relative distance approaches: such as maximum distance network, K-nearest neighbours (sometimes referred to as proximal point analysis (PPA)), beta-skeletons, relative neighbourhood network or Gabriel graph. These, however, are derived from computational geometry and have a long tradition in network research and computer science. Moreover, this is a not a field in which archaeologists seem to push the boundaries of network science (with perhaps a few exceptions; Knappett et al. 2008).

There are a few commonalities between the archaeological applications of these movement, visibility and interaction networks. They tend to be network data representations of traditional archaeological research approaches (e.g. viewsheds, least-cost paths, urban settlement structure, community interaction), and they tend to be applied on spatially large scales with the exception of space syntax (inter-island connectivity, landscape archaeology, regional visual signalling systems). How can we diversify spatial archaeological network research? How can we go beyond making network copies of what archaeologists have done before and rather draw on the unique feature of network data (the ability to formally represent dependencies) to develop even more original spatial network techniques? This seems to us like an eminently possible task for archaeologists.

Despite being at the core of archaeological research, the use of temporal (or longitudinal) network data is common but incredibly narrow in archaeological network research. By far the most common application is to consider dating evidence for nodes or edges and to chop up the resulting networks into predefined categories that could have a typological, culture historical or chronological logic (e.g. artefact type A; Roman Republican; 400-300 BC). This process results in subnetworks sometimes referred to as snapshots, the structure of which are explored in chronological order like a filmstrip. A significantly less common approach is to represent processes of network structural change as dynamic network models (e.g. Bentley et al. 2005), or to represent dynamic processes taking place on top of network structures (e.g. Graham 2006).

This research focus of temporal archaeological network research is not at all representative of the diverse and critical ways archaeologists study temporal change. How can the archaeological research tradition inspire new temporal network approaches? How can the use of dynamic network models become more commonly applied? What temporal approaches from network science have archaeologists neglected to adopt? How can, for example, studies modelling the evolution of networks suggest explanations for the levels of complexity observed in past networks?

This session welcomes papers on archaeological network research including but not exclusive to these challenges. We also invite you to present your work on the topics of missing data, cross-disciplinary collaboration and teaching networks in the linked session ‘Archaeological network research 2’.

References

Bentley, R., Lake, M., & Shennan, S. (2005). Specialisation and wealth inequality in a model of a clustered economic network. Journal of Archaeological Science, 32(9), 1346–1356. https://doi.org/10.1016/j.jas.2005.03.008

Brughmans, T., & Brandes, U. (2017). Visibility network patterns and methods for studying visual relational phenomena in archaeology. Frontiers in Digital Humanities: Digital Archaeology, 4(17). https://doi.org/doi.org/10.3389/fdigh.2017.00017

Graham, S. (2006). Networks, Agent-Based Models and the Antonine Itineraries: Implications for Roman Archaeology. Journal of Mediterranean Archaeology, 19(1), 45–64. https://doi.org/10.1558/jmea.2006.19.1.45

Knappett, C., Evans, T., & Rivers, R. (2008). Modelling maritime interaction in the Aegean Bronze Age. Antiquity, 82(318), 1009–1024. Retrieved from http://antiquity.ac.uk/Ant/082/1009/ant0821009.pdf

Verhagen, P., Nuninger, L. & Groenhuijzen, M. R. (2019). Modelling of pathways and movement networks in archaeology: an overview of current approaches. In: Verhagen, P., J. Joyce & M.R. Groenhuijzen (eds.) Finding the Limits of the Limes: Modelling Demography, Economy and Transport on the Edge of the Roman Empire. Cham: Springer, p. 217-249. https://doi.org/10.1007/978-3-030-04576-0_11

S33.  Archaeological network research 2: missing data, cross-disciplinary collaboration and teaching networks (Standard)

Convenors:

Grégoire van Havre, Universidade Federal do Piauí – Department of Archaeology
Tom Brughmans, University of Barcelona
Aline Deicke, Digital Academy, Academy of Sciences and Literature | Mainz
Natasa Djurdjevac Conrad, Zuse Institute Berlin
Grégoire van Havre, Universidade Federal do Piauí
Philip Riris, University College London
Philip Verhagen, Vrije Universiteit Amsterdam, Department of Humanities

New challenges emerge as network research becomes ever more common in archaeology: can we develop new network methods for dealing with missing archaeological data, how can cross-disciplinary collaborations be leveraged to make original contributions to both archaeology and network science, and how do we teach archaeological network research in the classroom?

Although a range of techniques exist in both archaeology and network science for dealing with missing data and data uncertainty, the fragmentation of the material record presents a challenge – made more explicit through the use of formal methods – that is hard to tackle. Much of the task of identifying network science equivalents of archaeological missing data techniques remains to be done, and there is a real need for identifying how archaeological approaches could lead to the development of new network mathematical and statistical techniques. But by far most pressing is the need to formally express data uncertainty and absence in our archaeological network research.

Like many other aspects of archaeological network research, this challenge should be faced through cross-disciplinary collaboration with mathematicians, statisticians and physicists. Archaeological network research has a great track record of such collaborations, but not all of them have been successful and not all archaeologists find it equally easy to identify collaborators in other disciplines. How can we facilitate the communication between scholars with different disciplinary backgrounds? How can we foster archaeological network research that holds potential contributions to archaeology as well as other disciplines? What events and resources should be developed to provide a platform for cross-disciplinary contact and collaboration?

Now that archaeological network research is slowly becoming recognised as an archaeological subdiscipline in its own right, the topic increasingly finds itself in the curriculum of postgraduate modules and summer schools. But this rapid growth is almost exclusively marked by research and has neglected the development of teaching resources and approaches. What resources are necessary? What lines of argumentation and case studies are particularly powerful for convincing students of the need to see network research as part of our discipline? Which foundations (e.g. data literacy, statistics, and more) have to be laid to facilitate the widespread adoption of formal methods in general into our research processes?

This session welcomes papers on archaeological network research including but not exclusive to these new challenges.  We also invite you to present your work on the topics of spatial and temporal networks in the linked session ‘Archaeological network research 1’.

 

CAA 2020 Oxford call for a networks session

Please see below the call for sessions for the CAA 2020 conference in Oxford. I will be attending and would love to co-chair a network research session. If anyone is interested in brainstorming with me about a possible network topic for the session and in co-chairing the session with me then please do get in touch in the coming days.
We are delighted to announce that the call for sessions for next year’s international Computer Applications and Quantitative Methods in Archaeology conference (CAA 2020) is now open.  The call for sessions and submission form can be found here:
Call for sessions – CAA 2020

The closing date for session submissions is 18th July 2019.  Full details regarding the call for sessions can be found at the link above.

The conference will take place from 14th to 17th April 2020 in Oxford, UK, hosted by the School of Archaeology at the University of Oxford.  More details can be found in the following locations:

CAA2020 website: https://2020.caaconference.org/

CAA2020 on Twitter: http://www.twitter.com/CAA_2020

CAA2020 on Facebook: Security Check Required

Email the CAA2020 team at: caa2020@arch.ox.ac.uk

Sociology jobs Oxford: 3 assistant professorships, 3 postdocs

Although in sociology, the below jobs might be of interest:

Deadline: 7 June 2019

3 Assistant Professorships (termed University Research Lecturers in Oxford), University of Oxford, UK
For detailed information see here.

3 Posts as Postdoctoral Researcher in Demographic Science (see further below)

———-

Job Details
Departmental Research Lecturer (3 posts)
Department of Sociology, Park End Street, Oxford
Grade 8: £40,792 – £48,677 p.a.

The Department of Sociology, University of Oxford would like to appoint three creative and inspirational Departmental Research Lecturers to work within the new innovative interdisciplinary environment of the Leverhulme Centre for Demographic Science, headed by Professor Melinda Mills.

We are looking for ambitious early-career researchers who want to develop an independent research programme within one or more of the seven linked programmes of the Demographic Science Centre, together with delivering academic teaching and supervision.

Duties are divided as 70% research time (we value your development as an independent researcher and scientist) and up to 30% teaching (we value your career progression and development of skills). Research can be in any area of the LCDS, but the positions will be formally located within the Department of Sociology, who hosts the LCDS. Research needs to be follow the aims of the LCDS which is to be innovative, disruptive, interdisciplinary and realign conventional thinking. Teaching will involve leading or contributing to courses in quantitative methods, advanced methods, life course research, demographic and research methods and the opportunity to develop your own course. You may also have the opportunity to supervise PhD (DPhil) or other Master’s levels students.

Applicants should hold a PhD in an area related to the LCDS such as demography, sociology, biology, genetics, economics, econometrics, criminology, statistics, epidemiology or public health, geography, computer science or another related discipline. Candidates should be able to evidence an outstanding research and publication record, demonstrate excellent communication skills, including the ability to give a high standard of presentations to various groups, and the ability to engage graduate students and the broader academic research community. An ability and willingness to work both independently and as part of a team is vital.

The posts are available for a fixed-term duration of 5 years, ideally starting on 1 September 2019, or as soon as possible thereafter.

Please direct enquiries about the role to Professor Melinda Mills (Melinda.mills@sociology.ox.ac.uk).

You will be required to upload a statement of research interests, CV and details of two referees as part of your online application (references will only be requested for shortlisted candidates).

Only applications received before 12.00 midday on 7 June 2019 can be considered. Interviews are likely to take place in the last week of June or first week of July 2019.

Contact Person : HR Team Vacancy ID : 140547
Contact Phone : Closing Date : 07-Jun-2019
Contact Email : penny.taylor@sociology.ox.ac.uk
Click on the link(s) below to view documents Filesize
Job Details
Departmental Research Lecturer (3 posts)
Department of Sociology, Park End Street, Oxford
Grade 8: £40,792 – £48,677 p.a.
The Department of Sociology, University of Oxford would like to appoint three creative and inspirational Departmental Research Lecturers to work within the new innovative interdisciplinary environment of the Leverhulme Centre for Demographic Science, headed by Professor Melinda Mills.

We are looking for ambitious early-career researchers who want to develop an independent research programme within one or more of the seven linked programmes of the Demographic Science Centre, together with delivering academic teaching and supervision.

Duties are divided as 70% research time (we value your development as an independent researcher and scientist) and up to 30% teaching (we value your career progression and development of skills). Research can be in any area of the LCDS, but the positions will be formally located within the Department of Sociology, who hosts the LCDS. Research needs to be follow the aims of the LCDS which is to be innovative, disruptive, interdisciplinary and realign conventional thinking. Teaching will involve leading or contributing to courses in quantitative methods, advanced methods, life course research, demographic and research methods and the opportunity to develop your own course. You may also have the opportunity to supervise PhD (DPhil) or other Master’s levels students.

Applicants should hold a PhD in an area related to the LCDS such as demography, sociology, biology, genetics, economics, econometrics, criminology, statistics, epidemiology or public health, geography, computer science or another related discipline. Candidates should be able to evidence an outstanding research and publication record, demonstrate excellent communication skills, including the ability to give a high standard of presentations to various groups, and the ability to engage graduate students and the broader academic research community. An ability and willingness to work both independently and as part of a team is vital.

The posts are available for a fixed-term duration of 5 years, ideally starting on 1 September 2019, or as soon as possible thereafter.

Please direct enquiries about the role to Professor Melinda Mills (Melinda.mills@sociology.ox.ac.uk).

You will be required to upload a statement of research interests, CV and details of two referees as part of your online application (references will only be requested for shortlisted candidates).

Only applications received before 12.00 midday on 7 June 2019 can be considered. Interviews are likely to take place in the last week of June or first week of July 2019.

Contact Person : HR Team Vacancy ID : 140547
Contact Phone : Closing Date : 07-Jun-2019
Contact Email : penny.taylor@sociology.ox.ac.uk
Click on the link(s) below to view documents Filesize

https://www.recruit.ox.ac.uk/pls/hrisliverecruit/core_document_api_2.view_erecruit_document?

Dept Research Lecturer JD April 2019 395.2
Return to Search Results Apply Now

Dept Research Lecturer JD April 2019 395.2
Return to Search Results Apply Now

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Deadline: 7 June 2019

3 Posts as Postdoctoral Researcher in Demographic Science, University of Oxford, UK

Job Details
Postdoctoral Researcher in Demographic Science (3 posts)
Department of Sociology, Park End Street, Oxford
Grade 7: £32,236 – £39,609 p.a.

The Department of Sociology, University of Oxford would like to appoint three creative, exciting and innovative Postdoctoral Researchers who will work within the new innovative interdisciplinary environment of the Leverhulme Centre for Demographic Science, headed by Professor Melinda Mills.

The postholders will be responsible for their own independent research projects within a discrete area of the wider LCDS research programme, while being encouraged to work with others in the centre and our international partners. Research needs to follow the aims of the LCDS which is to be innovative, disruptive, interdisciplinary and realign conventional thinking.

In this first round of postdoctoral recruitment we are looking for researchers in the area of digital and computational demography, causality and methodological advances, sociogenomics and molecular genetics. Supervision and collaboration can occur within the core domains and with researchers within the LCDS. Duties of this exciting new role will include publishing excellent research, representing the Centre at meetings and seminars, presenting papers at external events and generating creative ideas for research income and assisting with future proposals. The postholder will have the opportunity to teach if desired.

Applicants should hold a PhD, or be close to completion, in demography, sociology, economics, geography, statistics, molecular genetics, biology, epidemiology, computer science, or another related discipline. Candidates should be able to evidence a good research and publication record commensurate with career stage, demonstrate excellent communication skills including academic writing and have confidence in presenting research proposals and results.

The posts are available initially for a fixed-term duration of 3 years, ideally starting on 1 September 2019, or as soon as possible thereafter.

Please direct enquiries about the role to Professor Melinda Mills (Melinda.mills@sociology.ox.ac.uk).

You will be required to upload a statement of research interests, CV and details of two referees as part of your online application (references will only be requested for shortlisted candidates).

Only applications received before 12.00 midday on 7 June 2019 can be considered. Interviews are likely to take place in the last week of June or first week of July 2019.

Contact Person :    HR Team    Vacancy ID :    140330
Contact Phone :        Closing Date :    07-Jun-2019
Contact Email :    penny.taylor@sociology.ox.ac.uk

The Connected Past Oxford: in numbers

Next week we will host the next edition of The Connected Past conference, this time in Oxford. The response to the conference has been overwhelming. 65 abstracts were received but only 30 could be accepted if we wanted to avoid parallel sessions. With 117 expected delegates this will be the largest event in the series. We are expecting colleagues from 17 countries and 66 institutions. Interestingly but perhaps not surprisingly, the gender split among delegates is almost 50/50 but only 32% of named authors of papers are female. This proportion is luckily increasing over the years but it’s clearly something for our community to work on.

Have a look at the infographic below. Can you spot how much wine each delegate will receive? I think it will be sufficient 🙂

blog

PhD funding correspondence networks

A great opportunity for a funded PhD in historical network research. More info here and below.

As part of an innovative collaboration between Oxford and the Sorbonne, the Cultures of Knowledge’s Early Modern Letters Online project has announced that applications for a three-year fully funded fellowship are being accepted currently from students wishing to pursue doctoral studies in the history of science, in mathematical sciences, in digital humanities, or in computer science.

Call for applications:

English
The successful candidate’s PhD thesis will involve the scholarly study of correspondence networks from the perspective of both the history of sciences and the digital humanities. In particular, the student should consider how to structure a corpus made up of networks of interconnected correspondence data; the new research questions for the history of science that arise from such a corpus; the methodologies that can be put in place to answer these questions; and the extent to which the development of suitable digital analysis and research tools might contribute to the exploration of this type of corpus.

The doctoral fellowship is part of a scientific collaboration between the Faculty of Science and Engineering of Sorbonne University and the Faculty of History of the University of Oxford. The candidate will work in the Digital Humanities team at the Institut des sciences du calcul et des données (ISCD) of Sorbonne University (Paris, France) and will carry out a period of research at the University of Oxford (UK) within the framework of the Cultures of Knowledge research project/Early Modern Letters Online [EMLO]. An association either with Oxford’s Centre for the History of Science, Medicine, and Technology or with the Mathematical Instituteis possible during the stay.

The doctoral fellow will benefit from a three-year funding by the Faculty of Science and Engineering of Sorbonne University. The candidate must have a strong background in digital humanities, history of sciences, mathematics, or computer sciences. Competences in at least two of these fields will be particularly appreciated.

To apply, please send your c.v. and a description of your research project to: alexandre.guilbaud@sorbonne-universite.fr. You may also e-mail Alexandre at this address for further information regarding the fellowship.

French
La thèse proposée porte sur l’étude intellectuelle des réseaux de correspondances du double point de vue de l’histoire des sciences et des humanités numériques. Il s’agira en particulier de se demander comment structurer un corpus constitué de réseaux de données de correspondances interconnectées, quelles questions nouvelles un tel corpus permet de se poser en histoire des sciences, quelles méthodologies mettre en place pour y répondre, et dans quelle mesure le développement d’outils numériques d’analyse et de recherche adaptés peut permettre de contribuer à l’exploration de ce type de corpus.

Cette thèse fait l’objet d’une collaboration scientifique entre la Faculté des sciences et ingénierie de Sorbonne Université et l’équipe EMLO de l’Université d’Oxford. Le candidat travaillera dans l’équipe « Humanités numériques » de l’Institut des sciences du calcul et des données (ISCD) de Sorbonne Université (Paris, France) et effectuera un séjour de recherche à l’Université d’Oxford (UK) dans le cadre du projet de recherche Cultures of Knowledge/Early Modern Letters Online [EMLO]. Une collaboration avec le Center for the History of Science, Medicine and Technology ou avec le Mathematical Institute d’Oxford sera possible durant ce séjour.

La thèse est financée pour trois ans par la Faculté des sciences et ingénierie de Sorbonne Université. Le candidat devra disposer d’une solide formation en humanités numériques, en histoire des sciences, en mathématiques ou en informatique. Une double compétence sera particulièrement appréciée.

Pour candidater, envoyez votre cv et le descriptif de votre projet de recherche à l’adresse alexandre.guilbaud@sorbonne-universite.fr. Vous pouvez également écrire à cette adresse pour tout complément d’information sur la these.

Tom’s Oxford mini-tour

oxfordOne of the awesome things about my job is that I get to travel around and talk to people about the stuff I love (read “bore people by ranting about a niche interest”). This week I am in Oxford and I will be giving two talks tomorrow (10 February 2016). So if you are in the neighbourhood and are prepared to be talked to about networks and Romans, come along!

At 1pm I will give a talk at the Institute of Archaeology as part of the Roman Discussion Forum seminar series. The talk is called “Introducing MERCURY: an agent-based network model of ceramic distribution for studying Roman economic integration”. You can get the slides here.

At 5pm I will give a talk at Corpus Christi college as part of their classics seminar series. The talk is called ” The potential of network science for archaeology illustrated through a network study of the Roman economy”. You can get the slides here.

Loads of networks in Oxford Classical seminar series

Untitled

Classics and archaeology are fiercely complimentary disciplines and I love playing a balancing act between the two. This of course means: playing with networks by drawing on both written and textual sources of the ancient world. The use of network science in Classics is really taking off, as much as it is in Archaeology. This is reflected in work by Irad Malkin in his book ‘A Small Greek World‘ and by the HESTIA team including Elton Barker who just published a volume entitled ‘New Worlds from Old Texts‘. Both will present in the series, as will I. So do come along if you can.

When? Weekly 5pm, 27 January – 9 March 2016

Where? Corpus Christy College, Oxford (UK)

Networks in the Ancient World
27th January

Elton Barker (Open): Network thinking: textual maps, conceptual frameworks, scholarly practice

 

3rd February
Eivind Heldaas Seland (Bergen): Rome and the not so friendly king: The social networks of local rulers in the Roman Near East

10th February
Tom Brughmans (Konstanz): The potential of network science for archaeology illustrated through a network study of the Roman economy

17th February
William Mack (Birmingham): Social Networking for Poleis

24th February
Irad Malkin (Tel Aviv): title tbc

2nd March
John Tully (Cardiff): Social Proxenoi: SNA in the Hellenistic Cyclades

9th March
Esther Eidinow (Nottingham): ‘What Will You Give Me?’: Networks, Narratives and the Sacred

For a printable poster for the series or any other enquiries please contact: virginia.campbell@classics.ox.ac.uk

CFP CAA UK Oxford

caaukTime for another CAA UK chapter meeting! This year it wil take place in Oxford on 21-22 March. The call for papers is now out, with a 31 January deadline. The online submissions system will be live on the 15th. So time to start writing those abstracts, let’s get some networky papers in there 🙂

More info below or on the CAA UK website.

The next annual meeting of the UK Chapter of Computer Applications and Quantitative Methods in Archaeology (CAA-UK) will be held in Oxford on 21st and 22nd March 2014. CAA-UK aims to encourage communication between UK-based archaeologists, mathematicians and computer scientists in order to stimulate research and promote best practice in computational and mathematical approaches to the past.

Computational and statistical approaches have become an essential part of the tool-kit, so much so that they have become de rigueur. Whilst it has often been acknowledged that such ‘tools’ are not theory-neutral, both approaches have struggled to throw off their positivist origins. Papers and posters are encouraged which move beyond abstract models or representations and offer substantive contributions to interpretation of the past.

Suggested topics include:

GIS;
Spatial analysis;
Photogrammetry;
Geophysics;
Remote sensing;
3D modelling;
Visualisation;
Network analysis;
Statistical methods;
Semantic web;
‘Social’ media.

Abstracts (350 words maximum) should be submitted via the conference website (www.caa-uk.org) by 31st January 2014. The online submission system will go live on 15th January 2014. Any queries regarding the call for papers should be emailed to admin@caa-uk.org.

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