NII International Internship program - research topic 1 :  CaRbon fOotprint reciPe oPtimizER 3.0

We are recruiting up to two Master students  or PhD Students as NII international internship student from universities or institutions with which NII has MOU (Memorandum of Understanding) for international exchange agreement.

Please see here for details about the  NII International Internship Program - 2021 On-line - Guidelines for Candidates.

Application can be sent to NII any time up to Sept 30, 2021 at 5 pm (Japan time).

We propose the research subject related to the CO2-Footprint and nutrition service and to CaRbon fOotprint reciPe oPtimizER 3.0

Context:

Carbon Footprint of foods has been a major concern for the past few years. Food production is responsible for a quarter of all GHG (Green House Gas) emissions. Many food’s Carbon Footprint calculators can be found online but most of them
give individual results per ingredient and do not offer a perspective of the whole recipe’s Carbon Footprint. Many factors have to be taken into account for this calculation as the origin of the food,
the location of the cooker, but also the way to cook and to assemble ingredients.

Objective:

The internship target is to enhance the CROPPER (CaRbon fOotprint reciPe oPtimizER) service [1] to CROPPER 3.0 as a machine learning service for automatic calculation of CO2-footprints.  CROPPER is both a mono-dish and multi-dish

carbon footprint optimizer.

CROPPER 3.0 will be a on-line service linked to knowledge bases on food (Foodex, Langual) and ingredient prices. The challenge is to process the ingredients keeping the taste and the cook expectation of the target dishes.

[1] de Toledo D.A., d’Orazio L., Andres F., Leite M.C.A. (2020) Cooking Related Carbon Footprint Evaluation and Optimisation. In: Bellatreche L. et al. (eds) ADBIS, TPDL and EDA 2020

Common Workshops and Doctoral Consortium. TPDL 2020, ADBIS 2020. Communications in Computer and Information Science, vol 1260. Springer, Cham. https://doi.org/10.1007/978-3-030-55814-7_10

This internship is part of the CRWB research initiative (Access to Cooking Recipe Without Border)

Research area: Big Data/Digital Cooking Recipe/ AI, Machine Learning/Carbon footprint Optimization

Required skills: Programming skills Python, R System, XML,

Requirement for application: Master/PhD student

Duration: up to 6 months