A series of workshops presented below will be running at specific times throughout the congress. If you wish to sign up for a specific workshop please email the relevant contact listed. Number of participants are limited and spaces will fill up fast!

Neotoma Paleoecology Database: Introductory Training
Friday, July 26th, 9:00am-10:45am and 11:30am-1:15pm
Leader: Jessica Blois
Email: jblois@ucmerced.edu

This workshop will provide introductory training in exploring, visualizing, and teaching with Neotoma Database resources, using Neotoma Explorer, Tilia, the Neotoma DOIs and landing pages (new!), and curricular materials available at SERC. This workshop assumes some disciplinary familiarity with geoscientific fundamental concepts and paleoecological data but does not require programming experience. Eric Grimm and other experienced Neotoma Data Stewards will also be on site to support a help desk for Stewards working on data uploads to Neotoma via Tilia.

Workshop Materials:

Neotoma Explorer: https://apps.neotomadb.org/explorer/
Tilia: https://www.tiliait.com/
Sample DOI & Landing Page: http://data-dev.neotomadb.org/14194
SERC-Neotoma Curricular Materials: https://serc.carleton.edu/neotoma/activities.html

Further Reading:
Goring, S. J., R. Graham, S. Loeffler, A. Myrbo, C. J. Ormand, J. S. Oliver, III, and W. J. W. 2018. The Neotoma Paleoecology Database: A research-outreach nexus. Paleobiology Short Course.
Grimm, E. C., J. L. Blois, T. Giesecke, R. Graham, A. J. Smith, and J. W. Williams. 2018. Constituent databases and data stewards in the Neotoma Paleoecology Database: History, growth, and new directions. PAGES Magazine 26:64-65.
Williams, J. W., E. G. Grimm, J. Blois, D. F. Charles, E. Davis, S. J. Goring, R. Graham, A. J. Smith, M. Anderson, J. Arroyo-Cabrales, A. C. Ashworth, J. L. Betancourt, B. W. Bills, R. K. Booth, P. Buckland, B. Curry, T. Giesecke, S. Hausmann, S. T. Jackson, C. Latorre, J. Nichols, T. Purdum, R. E. Roth, M. Stryker, and H. Takahara. 2018. The Neotoma Paleoecology Database: A multi-proxy, international community-curated data resource. Quaternary Research 89:156-177.

Neotoma Paleoecology Database: Advanced Training
Saturday, July 27th, 9:00am-10:45am and 11:30am-1:15pm
Leader: Simon Goring
Email: goring@wisc.edu

This workshop will provide advanced training in programmatic access to Neotoma Database resources, using the Neotoma R package, Application Programmatic Interfaces (APIs) developed by the Neotoma Paleoecology Database and Earth-Life Consortium, database snapshots, and model workflows written in RMarkdown. A demonstration webpage will be built that pulls in Neotoma data. This workshop assumes familiarity with R, Python, or similar scripting languages. Eric Grimm and other experienced Neotoma Data Stewards will also be on site to support a help desk for Stewards working on data uploads to Neotoma via Tilia.

Workshop Materials:

Neotoma R Package, CRAN: https://cran.r-project.org/package=neotoma
Neotoma R Package, GitHub: https://github.com/ropensci/neotoma
Neotoma Model Workflows: XXURL Neotoma PIs: http://api.neotomadb.org/doc/
ELC APIs: http://earthlifeconsortium.org/docs/api-docs.html

Further Reading:
Goring, S., A. Dawson, G. Simpson, K. Ram, R. W. Graham, E. C. Grimm, and J. W. Williams. 2015. neotoma: A Programmatic Interface to the Neotoma Paleoecological Database. Open Quaternary 1:1-17.
Williams, J. W., E. G. Grimm, J. Blois, D. F. Charles, E. Davis, S. J. Goring, R. Graham, A. J. Smith, M. Anderson, J. Arroyo-Cabrales, A. C. Ashworth, J. L. Betancourt, B. W. Bills, R. K. Booth, P. Buckland, B. Curry, T. Giesecke, S. Hausmann, S. T. Jackson, C. Latorre, J. Nichols, T. Purdum, R. E. Roth, M. Stryker, and H. Takahara. 2018. The Neotoma Paleoecology Database: A multi-proxy, international community-curated data resource. Quaternary Research 89:156-177.

Paleofire: methods, applications and future developments in Quaternary Studies
Monday, July 29th, 11:30am-1:15pm and 4:45pm – 6:30pm
Leaders: Daniele Colombaroli, Boris Vannière, Donna Hawthorne, Anne-Laure Daniau, Olivier Blarquez, Mitchell Power & the GPWG.
Email: daniele.colombaroli@rhul.ac.uk

With the growing need in the Quaternary Science community to make paleo-data more accessible to other disciplines (climate change impacts, landscape management, biodiversity conservation), the Global Paleofire Working Group (GPWG) is promoting new initiatives for knowledge transfer, methods development and cross-disciplinary research to strategically integrate paleofire data with the present and future societal challenges. This workshop welcomes students interested in developing new charcoal series for the Global Charcoal Database (session 1: knowledge transfer), and more experienced researchers willing to contribute to future initiatives lead by the GPWG (session 2: future developments). Key-note talks will introduce current approaches for data collection, data analysis and interpretation, numerical techniques to assess the spatio-temporal variability of fire (including the last updated version of the R-package), and strategies for community outreach (Diverse- Knowledges approach). We welcome participants across a wide range of disciplines, including Archeology, Geography, Earth Sciences, Paleoclimatology and Ecology. You are invited to bring your own dataset (.txt, .csv or .xlsx file) for exploratory analysis and discussion. In applying to this workshop, please also indicate whether you are interested in the first, second, or both sessions.

Radiocarbon dating and chronology creation
Saturday, July 27th, 4.45pm – 6.30pm
Leader: Dr Maarten Blaauw (developer of Bacon and Clam age-depth modelling)
E-mail: maarten.blaauw@qub.ac.uk

This will be a hands-on workshop on the production of robust and reliable chronologies for palaeoecological deposits using radiocarbon and other types of dates. The workshop will cover details on dates and different approaches to age-modelling, and through practical computer sessions we will discuss, learn and practice with some of the latest software in age-depth modelling.

Themes to be covered include radiocarbon dating, producing chronologies, combining multiple sources of dating including 210Pb dates, quantifying chronological uncertainties, and performing simulations to explore how dating decisions affect age-model precision and accuracy. Participants can bring their own or existing data to work on. Last but not least, based on short presentations by the workshop participants, one project will be selected to receive five free radiocarbon dates from the 14CHRONO Centre in Belfast, Northern Ireland.”

Statistical Analysis on climate time-series: concepts and pitfalls
Monday, July 29th, 9.00am – 10.45am and 11.30am – 1.15pm
Leaders: T. Erhardt & F. Adolphi (Climate and Environmental Physics and Oeschger Center for Climate change Research, Bern University, Switzerland)
Email: timeseries@climate.unibe.ch

Off-the-shelf statistical tools are typically not directly applicable to environmental time-series. Their underlying assumption of a Gaussian white noise process is violated by the presence of, for example, annual cycles, memory, or the smoothing of a paleoclimate archive. Ignoring these caveats leads to false conclusions on the significance of the observed statistical relationships. In this workshop, we will show and explain common pitfalls in the statistical analysis of climate and paleoclimate data. We will provide examples of how these challenges can be overcome using surrogate data. We will focus on concepts for significance testing for correlation-, trend-, and spectral-analysis and discuss the effects of smoothing. The course will be part lecture, part hands-on exercises which will be done in Matlab or Python. For this purpose, we will provide code examples, and aid in their execution and interpretation. The code can also be applied to the participant’s research data. To be able to participate, some prior knowledge in Python or Matlab is advantageous but not required since the code will be provided. If possible, each participant should bring their own laptops and have either Python (Anaconda) or Matlab (including statistics toolbox and signal processing toolbox) installed.