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Digitalization and Climate

Digital technologies help to reduce the carbon emissions massively on a global scale. They are indispensable to achieving the Sustainable Development Goals. However, digital systems have their own share of carbon emissions, which are steadily growing. How much do computer systems add to the global carbon footprint? How much energy do digital systems require and what measures have already been taken to try to reduce this? What can we do in everyday life to reduce energy consumption of digital devices and services? What is missing so far and how can clean-IT and sustainability by design help to further decrease the carbon footprint of computer systems?

Digitalization and Climate

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Welcome to the Forum!

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Christoph Meinel (HPI) - Environmental Impact of Digitalization

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Environmental Impact of Digitalization

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Thomas Saueressig (SAP) - Climate 21 - Sustainable Digitization

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Priti Prabhoo (SAP) - Business Success with Climate Action

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Rudolf Meier (SAP) - Carbon Calculation Basics

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Carbon Calculation Basics

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HPI Sustainability Student Club - Saving Energy in Daily Life

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Saving Energy in Daily Life

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Christoph Meinel (HPI) - What is clean-IT?

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What is clean-IT?

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Energy-efficient Algorithms and Databases

All digital technologies are based on algorithms and data. Metaphorically speaking, computer systems are like alchemy. Very few things are impossible in the digital world. Any scenario or program can be modelled by sequences of binary values (0-1). However, the quality of digital programs varies significantly. One can achieve the same result with very different algorithmic sequences. A large, complex and wastefully-designed piece of software can facilitate the same outcome as a slim, simple and thoughtfully-designed algorithm. As carbon emissions and energy consumption in computer systems always originate in computing time and effort, it is crucially important to find the most efficient ways to design computer programs to carry out a specific tasks within a certain quality margin.

Energy-efficient Algorithms and Databases

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Detlef Thoms (SAP) - Sustainable Programming

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Sustainable Programming

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Martin Krejca (HPI) - Randomized Search Heuristics

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Randomized Search Heuristics

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Francesco Quinzan (HPI) - Use Case Efficient Algorithms: Optimal Sensor Distribution

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Thorsten Papenbrock (HPI) - Data Profiling with HPI-Valid

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Data Profiling with HPI-Valid

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Vitor Piro (HPI) - Energy-efficient DNA Sequencing

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Energy-efficient DNA Sequencing

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Energy-efficient Data Centers

Data centers are at the core of digital transformation. They host the ubiquitous cloud and execute millions of applications used by people all around the world. They enable people and institutions worldwide to access computing power and data storage on a massive scale and make all the popular digital applications possible, which accompany us in everyday life. However, data centers consume enormous amounts of energy. Coming to grips with this issue is mandatory to make digitalization sustainable in the future.

Energy-efficient Data Centers

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Béla Waldhauser (eco) - Data Centres in Europe: Opportunities for Sustainable Digitalisation

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Data Centers in Europe Opportunities for Sustainable Digitalization

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Jaafar Elmirghani (IEEE) - Energy-efficient Cloud and Fog Networks

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Energy-efficient Cloud and Fog Networks

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Sven Köhler (HPI) - How to Measure Energy Consumption

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Energy Consumption of Data Centers

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Max Plauth (HPI) - Energy-Aware Computing

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Energy-Aware Computing

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Lukas Wenzel (HPI) - Heterogeneous Computing

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Heterogeneous Computing

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Clean AI

Today, artificial intelligence has become a powerful tool to manage many tasks and to organize the modern connected world. Without AI we would not be able to manage the global flood of data collected by millions of digital devices. It would be impossible to navigate the vast WWW with its billions of websites and web documents. We could not make meaningful predictions from statistical data collected to diagnose diseases, organize traffic, retail and goods distribution. Without AI the vision of driverless cars and predictive maintenance would remain fantasy and none of the global sustainability challenges like fighting poverty, illiteracy, pollution etc. would be within reach. In short: A life without AI technologies has become hardly imaginable. However, the ever-growing demand for AI applications has its price. Training and executing the latest AI models based on deep neural networks require massive amounts of structured data and hundreds of thousands of computation layers. Training a powerful neural network can emit as much carbon as the life cycle of five cars including fuel. In order to have the benefits of AI without destroying the planet it is mandatory to find new training techniques and operating schemes for deep neural networks, which require much less data input, computation power and therefore much less energy.

clean AI

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Christoph Meinel (HPI) - Energy-efficiency in Machine Learning

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Clean AI

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Haojin Yang (HPI) - Compact Neural Networks

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Compact Neural Networks

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Christian Bartz (HPI) - Knowledge Destillation

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Knowledge Destilation

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Gonçalo Mordido (HPI) - Network Pruning Techniques

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Christoph Meinel (HPI) - Binary Neural Networks

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Quantization and Pruning

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Niklas Pietsch (OSP) - Dataminimalism in AI

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Dataminimalism in AI

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Matthias Trapp (HPI) - AI on Mobile Devices

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AI on Mobile Devices

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Benjamin Bergner (HPI) - Energy-efficient Medical Imaging

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Energy-efficient Medical Imaging

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clean-IT openXchange

The clean-IT openXchange is a series of live talks and events on sustainable digitization. Once every month, experts present a topic on which participants can then directly ask questions and discuss. The topics of the talks consist of a mix of topics already presented in this forum and completely new ideas. The talks are open to everyone as online meetings. Participants are invited to exchange and discuss ideas with the presenters and viewers. In this section, the recordings of the talks will be uploaded subsequently.

clean-IT openXchange

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openXchange: Schedule for upcoming events

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Christoph Meinel (HPI) - Introducing the clean-IT-initiative

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Max Plauth (HPI) - Energy-Aware Computing: Trade-offs between Energy Consumption and Processing Power

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Niklas Pietsch (OSP) - Data Minimalism in AI Applications

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Prof. Jaafar Elmirghani (IEEE) - Energy-efficient Cloud- and Fog-Computing

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Jens Gröger (Öko-Institut) - Energy Consumption of Software

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Rudolf Meier (SAP) - Carbon Calculation Basics

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Mathias Renner (Frachtwerk) - Sustainable Software Engineering: Opportunities and Barriers

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Mei Lin Fung (People-Centered Internet) - clean-IT on an International Level

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Prof. Benno Schmidt (Bochum University) - Sustainable Software Design Patterns

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Tobias Gerbothe (OSP) - Towards Sustainability as a Corporate Paradigm

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Zhelong Pan (VMWare) - Sustainability as a service in multi-cloud operations

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Ralf Herbrich (HPI) - From Battery Research and Intelligent Housing to Energy-Efficient Machine Learning and Human Intelligence

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Dr. Jonathan Donges (PIK) - Current Progress in ML and AI applications in Earth system science

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Tibebu Biru (Krallmann AG) - Presenting the Carbon Monitor for Machine Learning (CMML)

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Prof. Christian Plessl (Paderborn University) - Approximate Computing: A Paradigm for Energy Efficient Computations

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João Saraiva (University of Minho) - Energy efficiency of programming languages

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Dr. Haojin Yang (HPI) - Predicting when it rains - EKAPEx project

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John C. Havens (IEEE) - Imagining the Future We Can Build Together

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Arne Tarara (Green Coding Berlin) - How to Measure the Energy Consumption of Software

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Stephanie Kamp (Syngenio AG) - An approach to reduce the Software Carbon Footprint

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Steven Neupert (TU Berlin) - Making your batteries last longer

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clean-IT Conference 2022

The first clean-IT conference is an international platform for the exchange of ideas to make the digital world more sustainable. High-ranking representatives from politics and industry discussed with science and civil society the pressing question of how digital technologies can support the fight against climate change and what needs to be done to reduce the carbon footprint of digitization.

clean-IT Conference 2022

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Introduction - Prof. Dr. Christoph Meinel (HPI)

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Keynote - Dr. Franziska Brantner (Federal Ministry for Economic Affairs and Climate)

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Panel: Climate Impact of Digitalization

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Panel: Measuring Energy Efficiency in Digital Systems

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Keynote - Stefan Schnorr (Federal Ministry of Digital and Transport)

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Energy Efficiency in Digital Systems: Oxymoron or Tautology? - Henning Heitkötter & Nico Wottke (SAP)

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Award Ceremony: clean-IT Hackathon

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Panel: Blueprints for Energy-Efficient Digital Systems

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Launch openHPI MOOC: Sustainable Software Engineering

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clean-IT Innovations: Insights into the HPI Workshop

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HPI Fellowship - Dr. Mei Lin Fung (People Centered Internet)

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Policies to Support the Development of Energy-Efficient IT - Dr. Mei Lin Fung (People Centered Internet)

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Wrap-up - Prof. Dr. Christoph Meinel (HPI)

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