Pushing the limits of gravity field recovery from high-low satellite-to-satellite tracking –a combination of 10 years of data of the satellite pseudo-constellation CHAMP, GRACE and GOCE

Scientific Conference (2014, April)

Putting community to use in environmental policymaking: Emerging trends in Scotland and the UK

in Geography Compass (2018), e12381

Community is frequently called upon in policy to meet environmental challenges. It is increasingly recognized that the success of these environmental interventions relies on community awareness and action ... [more ▼]

Community is frequently called upon in policy to meet environmental challenges. It is increasingly recognized that the success of these environmental interventions relies on community awareness and action. But what this emphasis on community does, and what the impacts are, are often neglected, or left uncritiqued. To explore this issue, we surveyed literature from the UK across four distinct environmental domains—energy, urban greenspace, water, and land—to chart what characterizes the use of community in pursuit of environmental goals. We highlight the main conceptual commonalities across the domains by focusing on research that gives insight into the increased interest in communities in environmental policy. In summary, we posit that where community is used environmentally, it brings with it (a) a reframing of justice, (b) processes of “public making,” and (c) a rescaling of governance. [less ▲]

Putting Male and Female Bodies in Their Places: Arenas and Theatres of Educational Reform

in Burke, Catherine; Grosvenor, Ian; Haenggeli-Jenni, Béatrice (Eds.) et al Education across Europe: A Visual Conversation (2014)

Putting “Power” into Borderlands Studies: “Bringing the State Back In”

in Gilles, Peter; Koff, Harlan; Maganda, Carmen (Eds.) et al Theorizing Borders Through Analyses of Power Relationships (2013)

PVDeConv: Point-Voxel Deconvolution for Autoencoding CAD Construction in 3D

Scientific Conference (2020, October)

We propose a Point-Voxel DeConvolution (PVDeConv) mod- ule for 3D data autoencoder. To demonstrate its efficiency we learn to synthesize high-resolution point clouds of 10k points that densely describe ... [more ▼]

We propose a Point-Voxel DeConvolution (PVDeConv) mod- ule for 3D data autoencoder. To demonstrate its efficiency we learn to synthesize high-resolution point clouds of 10k points that densely describe the underlying geometry of Computer Aided Design (CAD) models. Scanning artifacts, such as pro- trusions, missing parts, smoothed edges and holes, inevitably appear in real 3D scans of fabricated CAD objects. Learning the original CAD model construction from a 3D scan requires a ground truth to be available together with the corresponding 3D scan of an object. To solve the gap, we introduce a new dedicated dataset, the CC3D, containing 50k+ pairs of CAD models and their corresponding 3D meshes. This dataset is used to learn a convolutional autoencoder for point clouds sampled from the pairs of 3D scans - CAD models. The chal- lenges of this new dataset are demonstrated in comparison with other generative point cloud sampling models trained on ShapeNet. The CC3D autoencoder is efficient with respect to memory consumption and training time as compared to state- of-the-art models for 3D data generation. [less ▲]

Pygmalion in der Schule. Wie mächtig sind Lehrererwartungen?

Article for general public (2011)

Der Pyrenäenfrieden und seine Auswirkungen auf die Grenzziehung zwischen Frankreich und dem Herzogtum Luxemburg im Spiegel der Kartographie

in Hemecht : Zeitschrift für Luxemburger Geschichte = Revue d'Histoire Luxembourgeoise (2010), 62(3/4), 463-492

Der Pyrenäenfrieden von 1659 und seine Umsetzung im Spiegel der historischen Kartographie. Zur Analyse der Darstellung komplexer dynamischer Prozesse im Raum

in KartenWissen: Territoriale Räume zwischen Bild und Diagramm (2012)

Q wie Quasi und Quer

Article for general public (2012)

Q&A with Data Scientists: Christopher Schommer

in Operational Database Management Systems (2017)

Interviews with Data Scientists; see: http://www.odbms.org/2017/01/qa-with-data-scientists-christopher-schommer/