Thank you for your willingness to contribute to the Big Data Meets Survey Science 2023 conference (BigSurv23). As you prepare for your poster or paper presentation, please review the following information and guidelines. 

Poster Presentations

Poster presentations should highlight original research with the session audience in mind. 

Before the Conference:

• Do not exceed the poster size limit (2m x 1m [height and width]). Please note: If needed, you will be able to print a poster at the University once in Quito.
• Ensure that the selected font and font size for your poster are clear and easy to read for people standing 1m–2m away from the display. 
• Avoid filling poster panels with dense tables, graphics, or too much text. 
• Remember that the visual display of information on your poster should draw the reader’s attention to your key findings and take-away   messages.
• Be sure to include the paper title, authors, institutional affiliation, and abstract. 
• Have your poster materials printed, assembled, and ready to display in advance of the scheduled presentation

Day of Your Presentation:

• Set up your poster in the assigned poster space at least 15 minutes prior to the start of the conference. 
• For the poster presentations (Friday) prepare to actively present during the dedicated poster session (8:30 – 10:00). 
• Remain close to your poster display to answer questions.
• Consider bringing copies of your prepared paper or handout to distribute.
• Focus your presentation on your most significant findings, innovations, or methodological contributions.
• Be courteous to other poster presenters.

Paper Presentations

 
BigSurv23 concurrent sessions will each have four assigned papers that focus on a central theme. Every Session Chair will introduce the presenting author before the paper presentation. Presenters will have 18 minutes to present.

Paper presentations should highlight original research with the session audience in mind. Oral presentations should be based on a formal paper and prepared before the conference, adhering to the standard conventions of peer-reviewed journals within each presenting author’s field of expertise. 

Before Your Session:

• Once you know your Session Chair name, get in touch, and provide a copy of your slide presentation, abstract, and/or drafted paper.
• Please share copies of your presentation materials with the Session Chair at least 1 week before the conference.
• Use PowerPoint, LaTeX, or other popular software to design your presentation.
• BigSurv23 will provide computers where to load your presentations.
• Ensure the selected font and font size in your slide presentation are clear and easy to read for people who will be seated far from the screen. 
• Avoid filling each slide with dense tables, graphics, or too much text. 
• Save your presentation to a USB flash drive, and arrive to your session at least 15 minutes early to load your presentation onto the session computer.

During Your Session:

• Focus your presentation on your most significant findings, innovations, or methodological contributions.
• Do not read your paper during the presentation; instead, prepare and rehearse talking points from notes. 
• Remember to monitor your time and pay attention to the Session Chair’s time-limit indicators. 
• Bring with you any supplementary materials—such as copies of the full paper, notes, or handouts.
• Keep in mind that time for questions from session attendees will be reserved after each presentation. The Session Chair will moderate these discussions and ensure adequate time is allocated for each presenting author. 
• Sessions will allow for 3 minutes of discussion between presentations. 
• Consider summarizing attendee questions before responding to ensure that other session attendees will hear what has been asked.
• Think about saving longer discussions for the coffee breaks between sessions; comments and questions can be shared over light refreshments during these times. 
• Be courteous to other session presenters.

Please direct general questions about BigSurv23 and the program to Ana Lucía Córdova Cazar (info@bigsurv.org).