Flush to Data

Kris Villez and Jörg Rieckermann
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  • NATURAL SCIENCES
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We mix Water, Poo, and Data.The Flush to Data podcast invites conversations about the data, models, and science used in wastewater engineering. Your hosts are Jörg Rieckermann (Eawag, Dübendorf, Switzerland) and Kris Villez (Oak Ridge National Laboratory, TN, USA). The contributions of Kris Villez to this podcast are a reflection of personal opinion only and are not related to any project, study, or opinion at the Oak Ridge National Laboratory or the U.S. Department of Energy. ---- Credits: ---- In our Trailer and intro we use the beautiful music from the "Obliterator" Amiga game by the incredible David Whittaker https://en.wikipedia.org/wiki/David_Whittaker_(video_game_composer) we also use creative common artwork distributed under a CC BY-ND 2.0 license. Check out our homepage for more info --- https://flush2data.gitlab.io

Episodes

  1. 05/16/2023

    [Episode 07] Linda Åmand

    We are back! This is the seventh episode of the Flush to Data podcast. We started with an introduction to the IVL institute, discussed all sorts of data and ended with notes on the unique features of the wastewater industry. In the extras, you'll here about redundancy and data needs. Thanks Linda! Episode guide: [00:00:00] Intro [00:01:40] Who is Linda Åmand? [00:03:40] IVL Swedish Environmental Research Institute - What is it? [00:05:35] Wastewater data [00:08:30] What does a production manager do at a wastewater treatment plant? [00:09:55] Are Nordic countries leading the pack in process automation? and why? [00:15:50] Never trust a sensor? [00:19:00] The lab measurement rules them all [00:24:25] The information hidden in our data [00:29:30] Meta-data and trust in data [00:34:00] Intermezzo! [00:42:15] Why measure? Integrating data into day-to-day decisions [00:48:55] Cost of digital maintenance [00:55:30] Data scientists: Get stuck in wastewater! [01:01:10] Is the wastewater business unique? [01:04:30] Goodbye and see you soon! Extras: [01:05:20] Machine-to-machine communication, cybersecurity [01:08:15] What kind of measurements are missing? [01:11:40] How will work on the plant change? [01:14:30] Integrated management of sewers, treatment plants, and receiving water? [01:19:30] Redundancy and resolution [01:24:30] What needs to be better? [01:28:30] Thank you! Links: Käppalaförbundet: www.kappala.se IVL: www.ivl.se Smart utilities book: https://www.iwapublishing.com/books/9781780407579/smart-water-utilities-complexity-made-simple

    1h 30m

  2. 12/20/2021

    [Episode 06] Ali Gagnon

    This is the sixth episode of the Flush to Data podcast. We started with a discussion on PI controllers, following by some exploration into model predictive control, human issues, and data and sensor management. Thanks Ali!Episode guide:[00:00:00] Intro[00:01:06] Who is Ali Gagnon?[00:03:44] Getting into automation[00:05:41] What is AvN? [00:06:21] What is cascade control?[00:07:46] Where is Proportional-Integral (PI) control used?[00:09:21] What is VFD?[00:09:51] Should we move away from...

    1h 9m

  3. 02/28/2021

    [Episode 05] Lina Belia

    This is the fifth episode of the Flush to Data podcast. We started with a discussion on wastewater simulation software, following by some deep dives into uncertainty. Thanks Lina! Episode guide: [00:00:00] Intro - Who is Lina Belia? [00:05:30] Wastewater engineers save more lives than doctors [00:07:40] How does a wastewater simulator look like and what can it do? [00:12:17] Uncertainty analysis in wastewater treatment practice [00:16:15] The roots of the Design and Operational Uncertainty Task Group (DOUT) [00:21:45] Uncertainty analysis is now mature and used widely [00:24:13] The main messages of the DOUT report [00:31:28] Uncertainty propagation is solved [00:33:25] Unresolved sources of uncertainty [00:36:45] Intermezzo: Deep fun [00:41:45] Can uncertainty analysis account for black swan events? [00:47:55] Instrumentation and control to account for black swan events. [00:50:20] Goodbye for now! Link to the DOUT report, published by IWA: https://www.iwapublishing.com/books/9781780401027/uncertainty-wastewater-treatment-design-and-operation

    51 min

  4. 11/23/2020

    Episode 04 - Open Science

    This is the fourth episode of the Flush to Data podcast. We start of discussing open science. We venture into many related aspects such as scientific reproducibility, scientific career evaluation, software versioning, and the distinction between the scientific process and academic institutes. Hosts: Jörg Rieckermann and Kris Villez Guest: Juan Pablo Carbajal (Hochschule für Technik Rapperswil, Rapperswil, Switzerland) Links: * Juan Pablo's web page: https://sites.google.com/site/juanpicarbajal/ * OSF - Open Science Framework: https://www.cos.io/our-products/osf * A publication on the scientific mission: https://dx.doi.org/10.4161%2Fcib.1.1.6285 * Open peer review: https://peercommunityin.org/ * Book "On Fact and Fraud: Cautionary Tales from the Front Lines of Science ": https://www.jstor.org/stable/j.ctt7s7j4 * Goodhart's law: https://en.wikipedia.org/wiki/Goodhart's_law Episode guide: [00:00:19] Typical approach to sharing of scientific results today vs. new approaches [00:07:20] Is the product of science a pdf document? [00:11:15] Juan Pablo's approach to producing and sharing results [00:19:50] Pre-register your study and methods to mitigate the risk of (inadvertent) p-hacking [00:27:10] Utility of open data, FAIR principles, copyright, licenses, sensitive data [00:45:50] Open peer review [00:54:10] Evaluating scientific careers [01:04:55] Practical measures to achieve the goals of open science [01:07:40] Science is ... [01:08:35] Closing main session [01:09:10] Start bonus session [01:09:15] Is open science a sad story? [01:11:50] Publish or perish [01:15:25] Creating knowledge is easier than ever - Can open science be weaponized? [01:24:04] Why do we publish? Why do we stay in the system?

    1h 32m

  5. 09/01/2020

    Episode 03 - Integrated assessment - Bonus track

    This is the bonus material to the 1st episode of the Flush to Data podcast  with Prof. Dr. Peter A. Vanrolleghem. We discuss research on particles in wastewater and Einstein's opinion on them, compliance assessment, innovation, . Links: - Peter A. Vanrolleghem's group website: https://modeleau.fsg.ulaval.ca/a-propos/accueil/ - Original article describing the scanner-based settl-o-meter: https://doi.org/10.1016/0273-1223(96)00157-6 - Presentation on particles: - Einstein's 2 cents on particles: https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/99EO00128 - The number 73 and the number 5318008: https://bigbangtheory.fandom.com/wiki/The_Alien_Parasite_Hypothesis Bonus track: [0:00:00] Particles  [0:05:35] Einstein's 2 cents [0:08:48] Compliance assessment, fusing hardware sensors with model-based soft-sensors [0:15:12] Do regulations affect innovation? [0:16:20] The number 73 [0:19:25] Particles once more - Lagoons, bubbling sediments, and unpublished tricks [0:24:40] Thanks and goodbye!

    25 min

  6. 09/01/2020

    Episode 03 - Integrated Assessment

    This is the 3rd episode of the Flush to Data podcast. Our guest is Prof. Dr. Peter A. Vanrolleghem. We discuss the cubEAU, experimental design, data quality, model adequacy, open hardware, and bathing in open waters. Links: - Peter A. Vanrolleghem's group website: https://modeleau.fsg.ulaval.ca/a-propos/accueil/ - Original article describing the scanner-based settl-o-meter: https://doi.org/10.1016/0273-1223(96)00157-6 - Presentation on particles: - Einstein's 2 cents on particles: https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/99EO00128 - The number 73 and the number 5318008: https://bigbangtheory.fandom.com/wiki/The_Alien_Parasite_Hypothesis [0:00:00] Intro [0:01:20] The cubEAU - a structure to manage scientific activity as a function of challenges, methodology, and application area. [0:10:10] Experimental design - A generally applicable tool [0:15:05] Ongoing issues with online sensors. [0:18:15] Adding stochastic variations into models to account for information contained in new data sources [0:25:35] The value of field work and data collection [0:26:15] Intermezzo [0:30:32] Monitoring environmental systems [0:35:11] Open hardware, open software, patents, licensing [0:39:10] Back to sensors [0:42:25] Bathing in the St-Lawrence river [0:47:45] Thanks and goodbye!

    49 min

  7. 07/11/2020

    Episode 02 - Micropollutants and Learning from Sewers on Society

    This is the the 2nd episode of the Flush to Data podcast. We discuss micro-pollutants, wastewater sampling methods, sewer epidemiology. Hosts: Jörg Rieckermann and Kris Villez Guest: Christoph Ort Links: - Christoph Ort: https://www.eawag.ch/en/aboutus/portrait/organisation/staff/profile/christoph-ort/show/ - MS2Field: https://www.eawag.ch/ms2field/ Episode guide: [0:00:00] Intro [0:01:27] Selecting a PhD topic [0:05:48] Monitoring micro-pollutant concentrations [0:10:05] Model to describe micro-pollutant concentrations [0:12:05] From dish-washer tracer experiment to system model [0:17:25] Are stochastic process models describing anomalies? [0:25:55] Tracking micro-pollutants in sewers [0:38:02] Intermezzo [0:40:38] Sewer epidemiology today [0:45:15] Sewer epidemiology in 10 years [0:51:30] Sewer epidemiology for the Covid-19 case [1:00:20] Thank you and goodbye! Bonus material [1:01:24] A researcher's condition, maximizing the value of coincidences in research [1:05:52] Self-discipline and saying no [1:08:46] The sewer ball [1:13:42] Thank you and goodbye!

    1h 14m

  8. 07/10/2020

    Episode 01 - Mechanistic Machine Learning

    This is the first episode of the Flush to Data podcast. We start with a discussion on mechanistic modelling and machine learning and venture into models for emulation, uncertainty quantification, and data quality. Bonus material includes a discussion on aspects of current scientific practice, including the lack of hypothesis testing, the evaluation of novelty, and the challenges with a generalist approach. Hosts: Jörg Rieckermann and Kris Villez Guest: Juan Pablo Carbjal Links: * Juan Pablo's web page: https://sites.google.com/site/juanpicarbajal/ * Article relating Gaussian processes and Kalman filter: www.jstor.org/stable/2984861  * BBC podcast on Gauss: https://www.bbc.co.uk/programmes/b09gbnfj * Using Lake Zurich as a heat sink: Unfortunately, we could not back-track the original source, despite considerable effort. If anyone of the listeners happens to know how to access the original source we would be grateful for a notice. The best we could find was documentation of related projects by Eawag: https://thermdis.eawag.ch/ and [1]. These show that ecological consequences have indeed been assessed in detail.  * Goodhart's law: https://en.wikipedia.org/wiki/Goodhart's_law * An invitation to reproducible computational research: https://doi.org/10.1093/biostatistics/kxq028 * Science in the age of selfies: https://doi.org/10.1073/pnas.1609793113  References: [1] Wüest, A. (2012). Potential zur Wärmeenergienutzung aus dem Zürichsee. Machbarkeit. Wärmeentzug (Heizen) und Einleitung von Kühlwasser. Kastanienbaum: Eawag. DORA-Link  Episode guide: [0:00:00] Who is Juan Pablo Carbajal? [0:03:10] Mechanistic modelling versus artificial intelligence [0:07:08] Who is Juan Pablo Carbajal? (ctd.) [0:09:26] Cross-fertilization between robotics and wastewater engineering [0:15:05] Emulation: using models to approximate other models [0:21:22] Incorporating common sense and prior knowledge into data-driven models [0:31:31] Equivalence between Gaussian processes and Kalman filter [0:33:50] Utility of emulation [0:40:15] Utility of quantified uncertainty [0:44:50] Intermezzo [0:49:04] What can models say about data quality  [1:02:15] How to communicate about data quality? [1:10:10] Preparing engineers for the future [1:15:23] Thank you and goodbye! Bonus material: [1:16:40] Interpretable machine learning models [1:22:33] Hypothesis testing [1:26:14] Critical assessment of novelty [1:30:50] Barriers to the generalist approach  [1:35:48] Thank you and goodbye!

    1h 36m

  9. TRAILER

    Episode 00 - Trailer

    Hi!  It's Kris and Jörg and we're on fire to bring you the Flush to Data Podcast, where wastewater and stormwater meet data science. Our mission is to explore the role of data and models in the world of wastewater science and technology and to bring you experts in the various domains who share their passion and valuable insights.  This podcast is for anybody interested in recent developments on sewers, wastewater treatment plants and water courses. The die-hard wastewater professional, scientist, sewer rat or post-graduate student trying to figure out what we can learn from data on the models we use in our work. We invite experts to discuss recent developments in wastewater modeling, monitoring, data analysis, their favorite bands, and the most probable questions to the answer 42. We are a process engineer and an urban hydrologist with a passion for likelihood functions, prior distributions and music, excited to share the lessons we've learned on our journey in the universe of activated sludge and combined sewer overflows. Follow us on Twitter or talk to us on the next wastewater conference. --- Credits --- In our Trailer and intro we use the beautiful music from the "Obliterator" Amiga game by the incredible David Whittaker https://en.wikipedia.org/wiki/David_Whittaker_(video_game_composer). Also, thanks to to this FLICKR user for providing the backdrop image under a CC-BY-ND2.0 license.

    2 min

Trailer

About

We mix Water, Poo, and Data.The Flush to Data podcast invites conversations about the data, models, and science used in wastewater engineering. Your hosts are Jörg Rieckermann (Eawag, Dübendorf, Switzerland) and Kris Villez (Oak Ridge National Laboratory, TN, USA). The contributions of Kris Villez to this podcast are a reflection of personal opinion only and are not related to any project, study, or opinion at the Oak Ridge National Laboratory or the U.S. Department of Energy. ---- Credits: ---- In our Trailer and intro we use the beautiful music from the "Obliterator" Amiga game by the incredible David Whittaker https://en.wikipedia.org/wiki/David_Whittaker_(video_game_composer) we also use creative common artwork distributed under a CC BY-ND 2.0 license. Check out our homepage for more info --- https://flush2data.gitlab.io

Information

  • Creator
    Kris Villez and Jörg Rieckermann
  • Years Active
    2020 - 2023
  • Episodes
    9
  • Rating
    Clean
  • Copyright
    © 2026 Flush to Data
  • Show Website
    Flush to Data