FAIR DATA Fund Autumn call 2022: meet the winners!

Alexan­dra den Hei­jer, Özlem Altinkaya Genel, Monique Arkestei­jn 

Alexan­dra den Hei­jer is Pro­fes­sor of Pub­lic Real Estate — Delft Uni­ver­si­ty of Tech­nol­o­gy; Fac­ul­ty of Archi­tec­ture, Depart­ment of Man­age­ment in the Built Envi­ron­ment. Özlem Altınkaya Genel is Post­doc­tor­al Researcher — Delft Uni­ver­si­ty of Tech­nol­o­gy, Fac­ul­ty of Archi­tec­ture, Depart­ment of Man­age­ment in the Built Envi­ron­ment. Monique Arkestei­jn is Asso­ciate Pro­fes­sor Real Estate Man­age­ment, co-chair Cam­pus Research Team, MBE — Delft Uni­ver­si­ty of Tech­nol­o­gy, Fac­ul­ty of Archi­tec­ture, Depart­ment of Man­age­ment in the Built Envi­ron­ment.

About the project: Deci­sion-mak­ers and researchers work­ing on the devel­op­ment of cam­pus­es need to assess the con­tem­po­rary trends in cam­pus design and man­age­ment. There­fore, hav­ing access to the most up-to-date cam­pus data is cru­cial for research and man­age­ment pur­pos­es. The forced COVID-19 pan­dem­ic lock­downs and restric­tions between 2020 and 2022 inten­si­fied the demand for rel­e­vant cam­pus man­age­ment infor­ma­tion. While cam­pus data can be obtained from var­i­ous sources, this infor­ma­tion is cur­rent­ly frag­ment­ed, not an open resource, and unstan­dard­ized. Since 2019, the Cam­pus Research Team has been con­duct­ing the Cam­pus of the Future project, fund­ed by TU Delft Cam­pus Real Estate. The Cam­pus of the Future project pro­pos­es to devel­op deci­sion-mak­ing strate­gies to match sup­ply and demand for the future cam­pus. 

Men­no Bok­dam 

Men­no Bok­dam is Assis­tant Pro­fes­sor at the Fac­ul­ty of Sci­ence and Tech­nol­o­gy and the MESA+ Insti­tute of Nan­otech­nol­o­gy, Uni­ver­si­ty of Twente.

About the project: This project places the sci­en­tist in the ‘cock­pit’ of a data­base of mate­ri­als sim­u­lat­ed at the atom­ic scale. These data­bas­es are so rich­ly filled with infor­ma­tion that it is dif­fi­cult to assess its con­tents. We gen­er­ate an overview of the most impor­tant phys­i­cal prop­er­ties in the data­base and their dis­tri­b­u­tions. It enables a quick exec­u­tive deci­sion; to use, extend or dis­card this data­base for new sim­u­la­tions.

Raúl Zuri­ta-Mil­la 

Raúl Zuri­ta-Mil­la is Prof. dr. + Fac­ul­ty of Geo-Infor­ma­tion Sci­ence and Earth Obser­va­tion (ITC), Uni­ver­si­ty of Twente. 

About the project: Thanks to the 4TU.ResearchData fund, a suite of long-term and high-spa­tial res­o­lu­tion spring onset indices over Europe and North and Cen­tral Amer­i­ca will be made avail­able next to the scripts used to pro­duce them. These indices pre­dict the day of the year on which tem­per­a­ture-sen­si­tive plants leaf out and start bloom­ing. This infor­ma­tion can be used to check whether those plants might suf­fer from frost dam­age (aka “false spring”) and, more gen­er­al­ly, to study the impact of cli­mate change on our plan­et.

Den­nis Pohl 

Den­nis Pohl is Post­doc­tor­al Researcher at The­o­ry of Archi­tec­ture and Dig­i­tal Cul­ture at TU Delft, and Research Coor­di­na­tor at The New Open. His research inter­est lies in a mate­r­i­al and cul­tur­al his­to­ry of the dig­i­tal in archi­tec­ture. 

About the project: This project aims to make the 4TU.ResearchData repos­i­to­ry FAIR for archi­tec­tur­al visu­al data. We plan to achieve on the one hand a clean dataset of anno­tat­ed archi­tec­tur­al draw­ings, that will be pub­lished, and made find­able on the 4TU.ResearchData repos­i­to­ry. And on the oth­er hand, we aim to devel­op a visu­al search inter­face that makes the visu­al data find­able. Research and edu­ca­tion will prof­it enor­mous­ly, once a clean dataset from the cur­rent repos­i­to­ry is refined, to facil­i­tate AI and ML work­flows for auto­mat­ed tag­ging, visu­al data extrac­tion or intu­itive search.

Simon Lan­gener, Daniel Davi­son, Den­nis Rei­ds­ma, Dirk Heylen

Simon Lan­gener is a PhD researcher at the depart­ment Human Media Inter­ac­tion (EEMCS), Uni­ver­si­ty of Twente. Dr. Daniel Davi­son is the Inter­ac­tion Lab man­ag­er at the depart­ment Human Media Inter­ac­tion (EEMCS), Uni­ver­si­ty of Twente. Dr. Den­nis Rei­ds­ma is an asso­ciate pro­fes­sor at the depart­ment Human Media Inter­ac­tion (EEMCS), Uni­ver­si­ty of Twente. Prof. Dr. Dirk Heylen is a full pro­fes­sor at the depart­ment Human Media Inter­ac­tion (EEMCS), Uni­ver­si­ty of Twente

About the project: The Mul­ti­Lis cor­pus com­pris­es record­ed inter­ac­tions between a sin­gle speak­er and three lis­ten­ers to under­stand human backchan­nel­ing dur­ing con­ver­sa­tions, for instance to pre­dict when vir­tu­al agents should do so. Cor­pus-based research is essen­tial­ly about col­lect­ing human data and mak­ing it open­ly avail­able to oth­er researchers. Dataset FAIR­i­fi­ca­tion requires good doc­u­men­ta­tion prac­tices and adher­ence to ethics/open file stan­dards to evade high per­son­nel work­loads and data loss in the long run. By means of the Mul­ti­Lis cor­pus, we aim to doc­u­ment our process in ana­lyz­ing and prepar­ing the dataset for rich meta­da­ta doc­u­men­ta­tion. More­over, we aim to feed­back learn­ings to our group and estab­lish first instruc­tion­al doc­u­ments (to avoid pit­falls in the long run). By this, we intend to pro­mote and sup­port the FAIR­i­fi­ca­tion process with­in our group. This also includes iden­ti­fy­ing poten­tial frame­works, licens­ing, and eth­i­cal issues (e.g., due to the GDPR intro­duc­tion).