Early Career Scientists Events

Early Career Scientists (ECSs, or Early Career Researchers – ECRs) encompass the newest minds in academic science and are the most likely to fill full-time research positions in the future, regardless of the association under IUGG. Despite this, each association has different approaches to encouraging early career scientists into leadership positions and promoting their work. It is well-documented that ECSs face contrasting problems compared to established researchers, and have reported a greater negative impact from the Covid-19 pandemic. This Big Theme aims to bring ECS (and people with influence over ECSs) from across IUGG to discuss the best approaches, ECS desires, and future protocol for ECS members. You can participate in this Big Theme in two ways:

1) attend the ECS social on Saturday, 15 July at 18:30-20:30, in Foyer Hall B (CityCube) and/or

2) come to the Big Theme lunchtime session on Sunday, 16 July at 12:15-13:15

Firstly, the ECS social will be a friendly social event organised by ECS representatives. This event is open to all individuals identifying as an early career. As well as having the opportunity to meet ECSs from across IUGG, you can anonymously contribute your questions and thoughts for the panel discussion of the next day’s Big Theme. Come to network with other ECSs and let your voice be heard!! 

Secondly, the Big Theme session will revolve around a summary and a panel discussion from the ECS social input. Your association representatives will answer questions including: job security, harassment, paper writing and much more. How does your IUGG association compare to others? Where does IUGG aim to change in the next four years? What are ECS demands moving forward?

The Geo.X Early Career Scientist Section also invites interested early career scientists attending the IUGG to join their Summer Get-together at the TU Berlin on Friday, 14 July at 19:00-21:30.

Registration to both the ECS Social and Geo.X Summer Get-together is now closed.

 

IAHS Workshops

Organized by the IAHS Early Career Committee

 

Workshop 1: R for System Modelling and Uncertainty Estimation

Thursday, 13 July, 12:00 – 13:30, Room M2

Pre-registration link: https://forms.gle/66xzS8Z5ErTuGKxC6
Conveners: Anna-Marie Jörss, Moctar Dembélé, Michelle Newcomer, Anatoly Tsyplenkov, Ravindra Dwivedi
Description: This workshop is geared for researchers who are interested in learning about applications of the programming language R in earth sciences, as well as advanced R programmers wanting to hear about recent developments including new methods and packages. We will hear about relevant applications of R in earth sciences from a few guest     lecturers. The topics will include modeling as well as statistical and numerical methods for uncertainty analysis. The workshop will provide a general overview of relevant R packages in hydrology, in addition to several live demonstrations of recently developed packages. Finally, the workshop will conclude with case studies relevant to climate and hydrological forecasting techniques and earth system modeling in general.

Workshop 2: Successful Scientific Communication & Storytelling

Friday, 14 July, 12:00 – 13:30, Room M1

Pre-registration link: https://forms.gle/66xzS8Z5ErTuGKxC6
Conveners: Bertil Nlend, Ravindra Dwivedi, Moctar Dembélé
Description: Nowadays, effective scientific communication is key to a successful career in academia and beyond. Scientific communication can take several forms, e.g., proposal writing for research funding, communicating science to general audiences to increase public awareness, and communicating scientific results from a research panel to policy and decision makers. Therefore, proper training in how to effectively communicate research findings and tailor presentations for specialized and general audiences is the key to success. Acknowledging the importance of successful scientific communication for early and mid-career researchers, we present a workshop that brings together experts in the field of scientific communication to students and early-career researchers at various levels to share best practices, essential rules, novel ideas and techniques for effective scientific communications and storytelling.

Workshop 3: Leveraging Non-traditional Research Data: Advances and Perspectives

Friday, 14 July, 17:00 – 18:30, Room M2

Pre-registration link: https://forms.gle/66xzS8Z5ErTuGKxC6
Conveners: Chris Leong, Moctar Dembélé, Bertil Nlend, P. James Dennedy-Frank, Jew Das

Description: Have you experienced or read about data problems, especially the availability in less resourceful areas, or are you seeking solutions to your data problems? Isn’t it time to stop with the excuses and explore alternative approaches in this era of vast technological improvements? Then come join us and learn from experts of different disciplines who will talk about data exploration and processing techniques outside the norm. Indeed, the concept of crowdsourcing has rapidly gained traction across many research fields. While related debates focused mainly on its importance for business, the public and non-governmental sectors, its relevance for generating scientific knowledge is increasingly emphasized.

The workshop will help you get out of your comfort zone to explore, learn and more importantly contribute to the improvement of the future of transdisciplinary data solutions.

Workshop 4: Big Data and Machine Learning

Saturday, 15 July, 12:00 – 13:30, Room M1

Pre-registration link: https://forms.gle/66xzS8Z5ErTuGKxC6
Conveners: Moctar Dembélé, Rahim Barzegar, Jew Das, P. James Dennedy-Frank
Description: Modern computing and sensing technology have led to a wealth of data that can provide novel insight into the functioning of hydrologic systems and improved projections of future system behavior. With the growing need and dual pressure of climate change and population growth, it has become inevitable to integrate big data and machine learning for understanding and addressing complex water related issues. The combination of big data and machine learning enables developing better water management strategies, predicting spatio-temporal variability of water resources, and mitigating the adverse consequences of water related hazards such as floods and droughts. However, this wealth of data brings its own challenges in data exploration and analysis, lack of interpretability, and potential large computational cost. With this background, the workshop invites a few lectures aiming towards the application of big data and machine learning to make more informed decisions for sustainable water practices for the benefit of society and environment. In this workshop experts will discuss how they address the challenges of dealing with big data using machine learning, and provide useful guidance and examples of various approaches and tools.